Plant Productions - Articles List

Dissection of genotype × environment interaction and yield stability analysis in durum wheat using SHMM and GGE biplot models

Tohid Najafi Mirak; Manoochehr Dastfal; Manoochehr Sayyahfar; Hossein Farzadi; Shahryar Sasani; Hassan Zali

Volume 47, Issue 2 , August 2024, , Pages 161-178

https://doi.org/10.22055/ppd.2024.46214.2144

Abstract

IntroductionDurum wheat (Triticum turgidum L. var. durum) is an important crop for the human diet grown in many parts of the world predominantly for semolina and resulting pasta production. ... Read More IntroductionDurum wheat (Triticum turgidum L. var. durum) is an important crop for the human diet grown in many parts of the world predominantly for semolina and resulting pasta production. The presence of genotype × environment interaction (GEI) is a challenge for breeders in evaluating genotypes in multilocational trials. The use of statistical models such as GGE biplot assist breeders in quantifying and understanding the patterns of GEI and in evaluating the performance of genotypes in various environmental conditions. This allows breeders to select stable and adaptable genotypes for a range of environments. One of the important goals of durum wheat breeding programs is to produce high-yielding cultivars that have suitable characteristics for cultivation in different regions of the country. Therefore, the aim of this research was to select promising durum wheat lines in terms of stability and high grain yield by GGE biplot and SHMM models.Materials and MethodsIn this study, 17 promising lines of durum wheat with three check Hana, Aran, Mehregan in five research centers of Kermanshah, Khorramabad, Karaj, Dezful and Fars (Darab) in the form of randomized complete blocks design in 3 replications and in two cropping seasons (2020-2022) were cultivated and compared. The studied genotypes were planted in six lines along 6 m with a line distance of 15 cm. Seed rate was determined by 450 seeds per square meter considering the thousand kernel weight for each genotype. Seeds were sown using an experimental plot planter (Wintersteiger, Ried, Austria). The fertilizer composition was 32 kg ha-1 nitrogen (twice), and di-ammonium phosphate and potassium sulfate were 100 and 50 kg ha-1, respectively (before planting). After the removal of perimeter plants, all experimental plots were harvested with an experimental grain harvester (Wintersteiger, Ried, Austria).Results and DiscussionThe results of the combined variance analysis of grain yield showed that the differences between the test environments, genotypes and genotype x environment interaction effect are significant at the 1% level. The highest grain yield in the first year was observed in Kermanshah station (Ker1) (8441 kg ha-1) and the lowest seed yield in Khorramabad in the first year (Kho1) (5648 kg ha-1) and Karaj in the second year (Kar2) (5961 kg ha-1). GGE biplot analysis determined two durum wheat environmental groups. The first environmental group contained of Kho1, Dar1, Kar1, Kar2 and Dar2 environments, where the recommended genotypes 18, 17, 2 and 19 produced the highest yields. The second environmental group comprised of Kho2, Dez1, Ker2, Dez2 and Ker1 environments, where genotypes 12, 9 and 8 were the best adapted genotypes. Biplot results showed that genotypes 10, 5, 13, 18 and 16 were more stable than other genotypes, respectively. Comparison of the examined genotypes with the ideal genotype showed that genotypes 18 and 10 are the closest genotypes to the ideal genotype, which in addition to high grain yield, had high yield stability. Dar2 was the closest environment to the ideal environment. The results showed that the classification of environments based on the SHMM model was completely consistent with the GGE biplot model. Based on environmental vector of the biplot, Dar2 and Ker1 had high discriminating ability for the genotypes. Also, Dezful in the first and second year (Dez1 and Dez2), Karaj in the second year (Kar2) and Kermanshah in the second year (Ker2) showed low discriminating ability for genotypes. The environments that were placed in the same group were close to each other in terms of genotype x environment interaction values. Based on the SHMM model, the environments with the least cross over effects are placed in one group. Accordingly, the placement of Kermanshah and Dezful in the same group indicates the relative similarity of these places. Also, these results were confirmed by the GGE biplot model. ConclusionAs a conclusion, GGE biplot identified G10 (DW-99-10) and G18 (DW-99-18) as the superior durum wheat genotypes which that can be released as new commercial cultivars for the temperate and warm regions of Iran.

Introduction and evaluation of agronomic features of commercial non-shattering (indehiscent) sesame cultivars named Barkat, Mohajer, Chamran and Dezful

Mohammad reza Siahpoosh; Leila Nejadsadeghi; Mohammad Sina Siahpoosh; Saman Sheidaie; Enayat Rezvani; Hossein Sadeghi

Volume 46, Issue 4 , March 2024, , Pages 473-490

https://doi.org/10.22055/ppd.2024.46295.2149

Abstract

Introduction Sesame is one of the most important oil plants in the world, especially in arid and semi-arid regions and is known as the queen of oil seeds. The high percentage of ... Read More Introduction Sesame is one of the most important oil plants in the world, especially in arid and semi-arid regions and is known as the queen of oil seeds. The high percentage of oil with the combination of suitable fatty acids, medicinal properties and very low water requirement are the characteristics of this oil plant. The main challenge for the lack of development of sesame cultivation all over the world is seed shattering at the time of ripening. Many efforts have been made to obtain non-shattering sesame cultivars with the characteristics of indehiscent capsule at the ripening stage and resistance to seed loss. In this article, we introduce and evaluate the agronomic characteristics of new indehiscent sesame cultivars named Barkat, Mohajer, Chamran and Dezful. Material and Methods Indehiscent sesame cultivars with the proposed names of Barkat, Mohajer, Chamran and Dezful have been improved during a breeding program at Shahid Chamran University of Ahvaz in collaboration with Shahid Rajaei Agriculture Company. For registration and commercialization, these cultivars were subjected to Distinctness, Uniformity and Stability (DUS) tests and agricultural Value of Cultivation and Use (VCU) experiments under the supervision of the Seed & Plant Certification and Registration Research Institute during the two cropping years 2022-2023. In these experiments, new indehiscent sesame cultivars along with commercial cultivars of dehiscent sesame named Oltan, Sardar and Shevin as control cultivars were evaluated in four regions with different climatic conditions of Iran, including Dezful, Darab, Mughan and Gorgan in the frame of complete blocks design with four replications. In addition, the mechanized cultivation of four promising indehiscent sesame cultivars was performed separately in 100-hectare fields in the Dezful region, and harvesting was done with a combine harvester. Results and DiscussionThe highest plant height was obtained in Barkat with an average of 144 cm and the lowest in Chamran with 140 cm. The highest number of capsules per plant, with an average of 89.8 and the highest number of seeds per capsule, with an average of 72.3, was observed in the Mohajer. The thousand-seed weight was reported between 2.41 and 3.72 g in Dezful and Mohajer respectively. A significant difference (P≤0.01) was observed in the group comparison between indehiscent and dehiscent (control) sesame cultivars, whilst dehiscent cultivars with an average of 1.05 tons per hectare were completely superior to the control cultivars with 0.80 tons per hectare. The highest average seed yield of cultivars in different regions during two years of experiment was obtained with 1.08 tons per hectare in Barkat and Mohajer cultivars. In the mechanized harvesting of indehiscent sesame cultivars with a combine harvester, the amount of seed loss was estimated to be less than 2.8%. The evaluation of morphological traits showed that indehiscent sesame cultivars had indeterminate growth habits and could produce 1-6 sub-branches per plant depending on the genotype and plant density. The superiority of seed yield for all indehiscent sesame cultivars was observed in compare with the control cultivars. The indehiscent sesame cultivars had appropriate agronomic features and could increasing about 24% seed yield in compare to control cultivars. This issue promises a significant increase in sesame production in Iran.ConclusionFinally, Barkat, Mohajer, Chamran and Dezful sesame cultivars were introduced as the first cultivars with resistance to seed shattering during ripening in the country. In addition to the higher seed yield in compare to the control cultivars. These cultivars are able to be harvested using a combine harvester in the mechanized systems at the time of full ripening. Ultimately, the widespread use of these cultivars in the agricultural cultivation pattern of the country promises food security in oil production and water consumption reduction in the stressful season of summer.

Evaluation of quantitative and qualitative yield of promising sugar beet (Beta vulgaris L.) hybrids under infection with cyst nematode

Jamshid Soltani Idaliki; Hassan Hamidi; Mozhdeh Kakueinezhad; Masoud Ahmadi; Javad Rezai

Volume 46, Issue 3 , December 2023, , Pages 319-334

https://doi.org/10.22055/ppd.2023.42990.2081

Abstract

AbstractIntroductionCystic nematode is one of the limiting factors of sugar beet growth. Considering the importance and extent of this nematode in Iran and in order to prevent its damage, ... Read More AbstractIntroductionCystic nematode is one of the limiting factors of sugar beet growth. Considering the importance and extent of this nematode in Iran and in order to prevent its damage, it is recommended to use resistant cultivars. The prerequisite for the development of resistant cultivars is the presence of resistant genotypes. Therefore, this study was aimed to evaluate the quantitative and qualitative yield of new sugar beet hybrids and determining their agronomic value in the field with natural infection under sugar beet cyst nematode in Razavi Khorasan province. Materials and MethodsIn order to determine the agronomic value of advanced sugar beet hybrids, 15 new domestic hybrids along with two resistant (Aria) and sensitive (Sharif) control cultivars were evaluated during the years 2020 and 2021 in the field infected with cystic nematode in Torogh Agricultural Research Station (Mashhad) in the form of randomized complete block design with four repetitions. The investigation of resistance to sugar beet cyst nematode of 17 genotypes was also carried out under greenhouse conditions using a completely randomized design with 10 replications. Muller's method was used to evaluate cultivars under greenhouse conditions. After performing the homogeneity of variances test through Bartlett's test, composite analysis of two years' data was done. By using correlation coefficients between measured parameters, their relationships were compared to each other. In order to group the experimental materials, Ward's cluster analysis was used. LSD test was used at the probability level of five percent to compare the mean of the traits. Results and DiscussionThe combined analysis of variance showed a significant difference between the hybrids in terms of all traits. Mean comparison showed that hybrid SBSI 126 had the highest root yield (57.91 tonha-1). In addition, this hybrid had higher values of sugar content, sugar yield and white sugar yield than the resistant control cultivar (Aria) as well as the average of all genotypes. The SBSI 138 hybrid had the lowest values of root yield, sugar yield, white sugar yield, sugar content and white sugar content, and it was the most sensitive genotype to cyst nematode among the genotypes after the sensitive control variety (Sharif). The results of cluster analysis in the field experiment showed that hybrids SBSI 126, SBSI 129 and SBSI 128 had high yield potential and were placed in one cluster.Correlation coefficients of studied traits showed that the highest positive and significant correlation (0.97) was found between root yield and sugar yield and the highest negative and significant correlation (-0.93) was also obtained between extraction coefficient of sugar and sugar beet molasses. There was a positive and significant correlation at the level of 1%between white sugar yield and root yield (0.85), sugar content (0.40), sugar yield (0.95), potassium (0.57), nitrogen (0.51) and molasses sugar percentage (0.25). While a negative and significant correlation was observed between white sugar yield and alkalinity coefficient (-0.52) at the level of 1%. In this research, there was a significant difference at the level of 1% between the evaluated genotypes in greenhouse conditions in terms of female index of the cyst nematode (FI). The results of cultivar grouping according to Schmidt and Shannon showed that the SBSI 126 genotype with the lowest index (11.66%) has the highest resistance among genotypes. ConclusionIn general, the results showed that the SBSI 126 hybrid can be recommended as a cyst nematode-resistant hybrid for growing in infected fields due to its resistance and high white sugar yield..

Identification of superior genotypes of barley for cultivation in the south regions of Fars province using MGIDI و FAI-BLUP indices

Hassan Zali; Alireza Pour-Aboughadareh

Volume 46, Issue 3 , December 2023, , Pages 335-351

https://doi.org/10.22055/ppd.2024.45295.2134

Abstract

IntroductionBarley (Hordeum vulgare L.) has been known as one of the most adapted cereal crops to various environmental conditions. In addition, this cereal crop ranks fourth in the ... Read More IntroductionBarley (Hordeum vulgare L.) has been known as one of the most adapted cereal crops to various environmental conditions. In addition, this cereal crop ranks fourth in the world in terms of economic importance after wheat, rice, and corn. Identification of high-yielding genotypes with highly desirable growth traits is one of the most important goals in barley breeding programs. However, the present study aimed to select superior genotypes based on grain yield and some morpho-phenological traits using different selection models. Materials and methodsTo identify superior genotypes of barley for cultivation in the warm and dry conditions in the southern regions in the Fars province, 21 genotypes were investigated in a randomized complete block with three replications during the 2021-2023 cropping seasons. During the plant growth and development, several morpho-phenological traits were recorded. Agronomic traits measured were days to spike emergence (DHE), days to maturity (DMA), plant height (PLH), grain filling period (GFP), grain yield (GY), 1000-kernel weight (TKW), spike length (SL), spike density (SD), awn length (AL), spike weight (SPW), number of grains per spike (NGS), row type (RT) and number of spikes per m2 (NS). After collecting experimental data, statistical analyses were computed using SAS and R softwares Results and DiscussionResults of the analysis of variance (ANOVA) showed that there is a significant difference among the investigated genotypes in terms of all the measured traits (except for Awn length and spike length). Based on the multi-trait genotype-ideotype distance index (MGIDI), genotypes G1 (Oxin), G7, G3, and G14 with the lowest values were identified as superior genotypes. Moreover, the ideotype design via the best linear unbiased prediction (FAI-BLUP) model identified genotypes G20, G8, G2 (Golchin) and G1 (Oxin) as the desirable genotypes compared with other genotypes. The Venn diagram revealed that genotypes G1 and G7 were selected using both selection indices, simultaneously. The MGIDI index showed a positive and significant correlation with DHE (0.58**), while it negatively and significantly correlated with GFP (-0.51*) and GY (-0.74 **). The FAI-BLUP index showed a significant positive relationship with SL (0.50 *) and SPW (0.45*), while it negatively and significantly correlated with DHE (-0.47 *). To better evaluate and group the investigated genotypes, principal components analysis (PCA) was used. Results of the PCA showed that the first and second principal components explained 30.5 and 20.6 percent, respectively. Moreover, the results of the PCA showed that the selected genotypes based on MGIDI and FAI-BLUP indices are located in the 1st and 2nd regions of the PCA diagram. In total, the results showed that there is a relative compliance between the MGIDI and FAI-BLUP indices with PCA. Additionlly, there was a high agreement between the MGIDI indices and the first principal component, and on the other hand, the second principal component showed a high agreement with the FAI-BLUP index. ConclusionIn conclusion, the genotype G7 with the highest grain performance and the relative superiority in terms of MGIDI and FAI-BLUP indices was identified as a superior genotype compared to all reference genotypes. Hence, this genotype can be recommended for further comprehensive evaluation before commercial release in the southern regions in Fars province.

Genotype- environment interaction analysis and selection of sugar beet stable genotypes in terms of white sugar yield using AMMI model

Dariush Taleghani; Abazar Rajabi; Ali Saremirad; shahram khodadadi

Volume 46, Issue 2 , September 2023, , Pages 155-169

https://doi.org/10.22055/ppd.2023.43177.2089

Abstract

Introduction The methods used to analyze genotype-environment interaction and determine the stability and adaptability of genotypes are continuously evolving to improve the accuracy ... Read More Introduction The methods used to analyze genotype-environment interaction and determine the stability and adaptability of genotypes are continuously evolving to improve the accuracy of evaluating genotypes and studying environmental interaction components. Using a combination of several methods provides a more comprehensive understanding of the genotype-environment interaction from multiple dimensions. In this study, the genotype-environment interaction was investigated using the AMMI method, along with the development of appropriate statistical techniques. Materials and Methods For this purpose, 25 sugar beet genotypes, consisting of 18 new hybrids and seven controls, were cultivated in seven environments: Karaj, Mashhad, Shiraz, Miandoab, Kermanshah, Hamadan, and Khoi. The experiment followed a randomized complete block design with four replications during the year 2020. After checking the uniformity of the variance of the experimental errors using Bartlett's test, the stability of the genotypes was analyzed based on the AMMI model. In this study, 12 statistics obtained from the AMMI model, including ASTAB, ASI, ASV, AVAMGE, DA, DZ, EV, FA, MASI, MASV, SIPCi, and Za, were used to identify stable genotypes. To further investigate the stability of the experimental genotypes, the SIIG index was also estimated, taking into account the criteria provided by each index based on the AMMI model. Results and Discussion The results obtained from Bartlett's test confirmed the homogeneity of the variance of experimental errors in experiments from different regions. Therefore, a combined variance analysis was performed based on the AMMI model. The combined analysis of variance, based on the AMMI model, indicated the significance of the additive effects of the environment and genotype, as well as the multiplicative effect of genotype-environment interaction at the 1% probability level. Analyzing the interaction effects into principal components showed that the first four components were significant at the 1% probability level and explained 93.50% of the variations related to genotype-environment interaction. According to the AMMI1 biplot, hybrids 3 and 9 were recognized as the most stable genotypes due to having a sugar yield higher than the overall average and a low value of the first interaction component. According to the AMMI2 biplot, hybrid 3 and BTS 335 with the Miandoab environment, Lexia and 4 with the Mashhad environment, Lexia with the Hamedan environment, 14 and 15 with the Kermanshah environment, 13 and 17 with the Shiraz environment, 11 with the Karaj environment, and Baloo with the Khoi environment have considerable specific adaptability. Hybrid 9, followed by 6, 2, and 8, had general adaptability. The SIIG index, calculated based on AMMI model statistics, identified 2, 9, 10, and 8 as the most stable genotypes with optimal yield. Conclusion Based on the obtained results, the environment and its interaction with the genetic structure of different genotypes have played a significant role in the phenotypic expression of white sugar yield and have caused the genotypes to provide different responses in terms of white sugar yield according to the conditions of different environments. In general, based on the results of the present study, hybrid 9 and then hybrids 6, 2, 8, 7, and 10 had high white sugar yield and yield stability. Generally, real progress in sugar beet breeding will be obtained if the genetic factors controlling the sensitivity of sugar beet genotypes to a variable environment are identified.

Evaluation of phenotypic diversity of cumulative growing degree-days (GDD) and grain yield in spring wheat cultivars under optimal and zinc deficiency conditions

Nasrin Valipour; Hadi Alipour; Reza Darvishzadeh

Volume 46, Issue 1 , June 2023, , Pages 65-78

https://doi.org/10.22055/ppd.2022.39617.2003

Abstract

IntroductionBread wheat is the first grain and the most important annual crop in the world. Like other crops, wheat faces many environmental constraints such as a lack of trace elements ... Read More IntroductionBread wheat is the first grain and the most important annual crop in the world. Like other crops, wheat faces many environmental constraints such as a lack of trace elements during its growth period. Zinc deficiency is a common micronutrient disorder in wheat-growing areas of the world. The growing degree-days (GDD) index is reliable compared to the time calendar due to its stability. These indices are important for comparing genotypes whose physiological developmental stages do not match. Temperature is an important meteorological variable in the study of plant growth and development processes and therefore its study on short time scales leads to a more accurate estimate of thermal need due to the relatively wide range of temperature changes in different phenological stages, setting the planting date. Studying the effect of temperature on wheat genotypes should be based on sufficient time and temperature to complete the phenological stages in which grain yield components are formed. Materials and MethodsTo study the phenological stages, cumulative growing degree-days, and grain yield and its components in 64 spring wheat cultivars under optimal and zinc deficiency conditions, a study was conducted in the 2019-2020 cropping season based on a simple lattice design in the research field of Urmia University, Iran. Phenological stages include the number of days to germination, the number of days to booting, the number of days to pollination, the number of days to physiological maturity, and the grain filling period with their GDDs during the growing season in each pot based on 50% of the samples were determined to have reached the relevant vegetative stage. In addition to phenological stages along with the number of grains per spike, thousand-grain weight, and grain yield were examined. Results and DiscussionAnalysis of variance revealed that there is a statistically significant difference among all cultivars in terms of all studied traits except the number of days to pollination under optimal and zinc deficiency conditions. According to the results of descriptive statistics, grain yield, the number of grains per spike, and thousand-grain weight decreased and phenological traits increased under zinc deficiency conditions compared to optimal conditions. Among phenological traits, not only the number of days to spike showed relatively high variability but also had a significant relationship with grain yield under zinc deficiency based on the results of correlation and regression analyses. The factor analysis showed that under optimal conditions, the first four components explained 87.81 percent of the total variation, so that the contribution of the first to fourth components were 38.38, 21.52, 15.88, and 12.3 percent. Under zinc deficiency stress conditions, the first five components explained 95.68 percent of the total variation, so that the first to fifth components explained 34.62, 18.48, 17.51, 14.66, and 10.40 percent, respectively. Cluster analysis classified all spring wheat cultivars into three and four clusters under optimal and zinc deficiency stress conditions. ConclusionBased on the results of cluster analysis under optimal and zinc deficiency stress conditions, Neishabour, Golestan, and Gahar cultivars were identified as desirable and tolerant cultivars that can be used in future breeding programs. The results of cluster analysis were confirmed by results of canonical discriminant function results

Evaluation of genetic diversity of some native population of Iranian coriander (Coriandrum sativum L.) based on morphological and physiological

Solmaz Nezafat; Mehdi Mohebodini; Rasoul Azarmi; َAsghar Ebadi Segherloo; Roghayeh Fathi

Volume 45, Issue 4 , February 2023, , Pages 449-461

https://doi.org/10.22055/ppd.2023.37678.1984

Abstract

Introduction Coriander (Coriandrum sativum L.) is an annual plant of the Apiaceae family. The used part of this plant is its seeds and leaves. In addition to oral consumption, coriander ... Read More Introduction Coriander (Coriandrum sativum L.) is an annual plant of the Apiaceae family. The used part of this plant is its seeds and leaves. In addition to oral consumption, coriander is a blood sugar lowering, blood lipid lowering, blood pressure lowering, hypnotic, sedative and anti-anxiety. This plant has shown antispasmodic, antidiarrheal, antioxidant, sedative and antimicrobial activities. The basic requirement for plant breeding programs is a germplasm diversity that provides necessary facilities for breeding species with desirable features. Therefore, accurate identification of genotypes is considered as a prerequisite in this manner. The phenotypical characteristics are the first markers that have been used for diversity researches. Materials and Methods In order to evaluate the genetic diversity of some coriander Populations in Iran based on morphological and physiological traits, 26 ecotypes were collected from different regions of the country and the experiment was conducted based on a randomized complete block design with 3 replications in field conditions Mohaghegh Ardabili University in 1398. Some morphological and phytochemical characteristics such as Stem diameter, Leaflet Number, Leaf Number, Stem, root and internode length, Total plant height, flower and Leaf fresh and dry weight,Total plant and Root dry weight, Anthocyanin, Total Phenol and essential oil components were studied. The measurements began after the 50% of flowering stage. Results and Discussion The analysis of variance of the data showed a significant difference between the studied traits, which indicates the existence of genetic diversity between coriander populations. there are significant differences between the populations in traits of plant height, stem and root length, nodes, internodes, leaves and leaflets numbers, stem diameter, plant dry weight, root dry weight, stem dry weight, leaf fresh weight, flower fresh weight and total phenol. Comparison of mean traits in total showed that Siahkal and Kashmar populations were superior to other populations in stem diameter (1.74, 1.63 mm), leaf fresh weight (0.57, 0.50 g), number of leaves (11.66, 15.70) and anthocyanin content (0.27, 0.37 mg/g FW). Based on Cluster analysis, divided the studied populations into three major groups. Main purpose of this study was determination of genetic diversity among Coriander accessions from Iran. Significant differences were found among the accessions in almost every parameter measured. Conclusion The range of vegetative and flower values obtained in this study was more than those of reported in previous researches about Coriander. With increasing leaf number and leaf fresh weight that is the main place to trap sunlight for photosynthesis and consequently provides the condition to produce secondary metabolites. Thus, Kashmar accessions with having high values of leaf can be considered for in view point of cultivation and breeding programs.

Evaluation of yield stability of flue cured tobaccos using some univariate and multivariate stability statistics

Naghi Hosseinzadeh Fashalami; Roghayeh Aminian; Habibollah Samizadeh

Volume 45, Issue 3 , December 2022, , Pages 311-321

https://doi.org/10.22055/ppd.2022.40945.2037

Abstract

IntroductionThe genotype × environment interaction is one of the most important factors in limiting breeding programs. The compatibility of a given genotype determines its ability ... Read More IntroductionThe genotype × environment interaction is one of the most important factors in limiting breeding programs. The compatibility of a given genotype determines its ability and genetic capacity to produce high production and yield stability in different environments. Therefore, it is necessary to study the genotype × environment interaction in order to introduce stable genotypes in different environments. The current research was carried out to determine the compatibility and stability of yield for 10 tobacco genotypes and estimate the most stable genotype for tobacco growing areas in Iran (i.e. Guilan, Mazandaran and Golestan provinces). Materials and MethodsIn this study, 10 male sterile flue cured tobacco genotypes, which they completely tested in terms of quality and taste, including 7 internal modified hybrids named RVH5, RVH6, RVH8, RVH27, RVH30, RVH48, RVH70 along with 3 imported genotype DVH2101, PVH19 and NC100 in 6 tobacco growing regions of Guilan, Mazandaran and Golestan in two years of experiment (2018-2019). In total, 12 environments were studied in a randomized complete block design with 3 replications. Combined analysis was performed by considering the environments as a random factor and genotypes as a fixed factor. Then the stability analysis of genotypes was done by 10 stability statistics and the first 3 components of AMMI (Additive Main effects and Multiplication Interaction) analysis including IPCA1, IPCA2 and IPCA3. Analysis of variance was done using SAS.9 software, AMMI analysis and related graphs were performed using IRRISTAT software. Results and DiscussionThe results of combined analysis of variance showed that the effect of location and year × location interaction, the effect of genotype and genotype × year × location interaction were significant at the 1% probability level for yield. Genotype × environment interaction analysis using the first three main components of the AMMI analysis justified 69.47% of the total variance. The lowest coefficient of variation was related to DVH2101 and RVH27 genotypes. RVH30, RVH27 and RVH8 genotypes were selected as the most stable genotypes. According to Rick equivalence and Shoklaʹs stability variance parameters. The least squares deviation from the regression line were related to RVH27, RVH30 and RVH8 genotypes. In terms of regression coefficient, RVH27, RVH30 and DVH2101 genotypes had a line slope close to 1. Based on the coefficient of determination and Jenkins and Perkins statistics, RVH27, RVH30 and RVH8 genotypes were in the same rank in terms of stability. RVH27 and RVH30 were the most stable genotypes with superiority index. RVH27, RVH30 and DVH2101 genotypes were selected as the most stable hybrids based on the AMMI first model due to their proximity to the plot center, low interaction and high yield. Based on the second model of AMMI analysis, RVH27 and DVH2101 genotypes were selected as stable genotypes. In the third AMMI model, the RVH27 genotype was selected as the stable genotype due to its closeness to the biplot center and high yield. ConclusionConsidering most of the stability statistics and AMMI analysis, the most stable genotype was RVH27 hybrid. RVH30 and DVH2101 hybrids were placed in the next categories of stability. In addition, genotypes RVH6 and NC100 showed high private compatibility to Tirtash tobacco growing area and genotype RVH27 to Rasht region.

Investigation of Seed Storage Proteins Diversity in Some Durum Wheat Landraces and Cultivars

Fatemeh Soorninia; Abdollah Najaphy; Danial Kahrizi; Ali Mostafaie; Ali Ashraf Mehrabi

Volume 45, Issue 3 , December 2022, , Pages 385-396

https://doi.org/10.22055/ppd.2022.39915.2012

Abstract

IntroductionReducing the genetic diversity of crops as a result of the use of breeding processes leads to the loss of a large number of useful genes and thus reduces the diversity of ... Read More IntroductionReducing the genetic diversity of crops as a result of the use of breeding processes leads to the loss of a large number of useful genes and thus reduces the diversity of genetic resources, which is one of the undeniable tools of breeding programs. Therefore, researches aimed at studying the genetic diversity of crops can be an effective aid in preserving genetic resources and identifying superior genotypes. Electrophoresis of seed storage proteins is a useful tool to study the characteristics of wheat genotypes in terms of storage proteins diversity. Materials and MethodsIn the present study, the diversity of seed storage proteins of 25 durum wheat genotypes obtained from different regions of Iran, including some landraces and commercial cultivars, was investigated using SDS-PAGE electrophoresis. Storage proteins of the studied genotypes were scored and analyzed after extraction and electrophoresis. Grain protein content and total gluten were measured by NIR and glutomatic gluten washer machines, respectively. Results and DiscussionElectrophoresis identified 14 polymorphic bands. Molecular analysis of variance between landraces and commercial cultivars showed 100% intragroup diversity. Cluster analysis using Jaccard coefficients by UPGMA method divided the studied genotypes into 4 groups. Genotypes No. 9 (Land race of Mashhad), 18 (Land race of Ahar) and 24 (Landrace of Islamabad Gharb) were placed each in a separate group and the rest of the genotypes formed another group. The two-dimensional graph resulting from principal component analysis also confirmed these four groups. Based on Jaccard similarity matrix, the lowest similarity and highest genetic distance were determined between genotypes No. 24 (Land race of Islamabad Gharb) with genotypes No. 21 (Dehdasht cultivar), 22 (Land race of Khorramabad), 23 (Dena cultivar) and 25 (Land race of Khorramabad) with a similarity coefficient of 0.41 was obtained. On the other hand, comparing the mean of genotypes for qualitative traits of grain protein content and total gluten, the highest amount of these two traits for genotypes No. 3 (Landrace of Kermanshah), 4 (Landrace of unknown-Iran), 1 (Landrace of Khoram Abad) and 2 (Landrace of Khoramabad) and the lowest values of both traits were obtained for genotype No. 24 (Landrace of Islamabad-West). Genotype No. 18 (Landrace of Ahar) is also one of the genotypes with high amounts of gluten. ConclusionThe electrophoretic pattern of seed storage proteins can determine genetic diversity based on the presence or absence of protein bands. Therefore it can be a useful tool to identify the genetic diversity of different plants. It is also possible for genotypes that have the greatest genetic distance and at the same time have good quantitative and qualitative traits to participate in breeding programs as parents. In the present study, according to the study of genotypes by analyzing the variance of qualitative traits of grain protein content and total gluten and comparing the mean and grouping them using the information obtained by electrophoresis, a cross can be found between genotypes genotypes No. 3 (Landrace of Kermanshah), 4 (Landrace of unknown-Iran), 1 (Landrace of Khoram Abad) and 2 (Landrace of Khoramabad) Due to their high content of gluten and protein with genotype No. 18 (Landrace of Ahar) due to its high content of gluten and acceptable genetic distance with the mentioned genotypes

Investigation on Some Physiological Traits of Tritipyrum Lines in Response to Salinity Stress

Fatemeh Razeghi Jahromi; Mohammad Esmailpour; Hossein Shahsavand Hassani

Volume 45, Issue 3 , December 2022, , Pages 409-420

https://doi.org/10.22055/ppd.2022.41353.2047

Abstract

IntroductionSoil salinity is one of the largest global challenges especially in the arid and semi-arid regions. It adversely and severely affected agricultural production and consequently ... Read More IntroductionSoil salinity is one of the largest global challenges especially in the arid and semi-arid regions. It adversely and severely affected agricultural production and consequently food security. The new cereal, tritipyrum, is an artificial hexaploeid wheat (2n=6x=42, AABBEbEb) derived from crossing between Triticum durum (2n=4x=28, AABB) and Thinopyrum bessarabicum (2n=2x=14, EbEb) species that has good potential to be used as a seed or forage plant. The aim of present research was evaluating saline tolerance of new primary different tritipyrum lines through assessing some agronomical traits and ion distribution in plant under mild and severe salinity stress conditions. Materials and MethodsA split-plot hydroponic experiment based on completely randomized block design with two factors and three replications was carried out at Shahrekord University in 2020. The NaCl salinity stress was considered as the main factor with 3 levels (0, 100, 200 Mm) and the genotypes were considered as sub plots with 8 levels. Genotypes included three primary tritipyrum lines (Ka/b, La/b, St/b), three combined tritipyrum lines (i.e. F4, F5 and F6 generations of a combined (Ka/b) (Cr/b) lines), as well as one durum wheat (cv. Creso) and a promising triticale line (Ma45). Different salinity stress levels were imposed from three leaf stage till maturity via irrigating the plants by appropriate saline water. The leaf surface area, fertile florets per spike, 1000-grain weight, grain yield, biological yield as well as concentration of Na+ and K+ and Ca++ ions in both root and aerial parts of genotypes were measured. Results and DiscussionThere were significant differences between genotypes in the case of all measured traits. Regardless of salinity levels, tritipyrum line (ka/b) (cr/b) (F6) had the highest amount of biological yield, grain yield, concentration of K+ and Ca++ and K+/Na+ ratio in shoot and the least amount of Na+ in shoot. With increase in salinity level from 0 to 200 mM, flag leaf area, number of fertile florets, 1000 grain weight, biological yield, grain yield and amount of K+ and Ca++ in both root and shoot were significantly reduced in almost all genotypes and concentration of Na+ was increased. At 200 mM salinity, all of the three combined tritipyrum lines had significantly higher amount of biological yield and K+ concentration in shoot and less amount of Na+ in shoot than durum wheat and triticale. Shoot Na+ concentration had negative significant correlation with flag leaf area and 1000 grain weight. In the other hand, positive correlation was observed between shoot K+ concentration and flag leaf area, number of fertile florets, 1000 grain weight and grain yield. At 200 mM salinity, the highest and lowest shoot K+/Na+ ratio were observed in tritipyrum line F5 and durum wheat, respectively. On average, root sodium concentration in tritipyrum lines was higher than that of wheat and triticale while shoot sodium concentration in tritipyrum lines was less than that of the two other genotypes. ConclusionResults of our experiment suggest that hindrance in the transfer of Na+ from root to the aerial parts is probably one of the mechanisms that used by tritipyrum lines to cope with the high NaCl concentrations.

Evaluation of Genetic Variability of Agro-Morphological Traits in Iranian Peppers Population (Capsicum annuum L.)

Mohsen Salehian; Reza Darvishzadeh; Mahmoud Rezazadeh Bari; Mitra Jabari; Marjan Jannatdoust

Volume 45, Issue 2 , September 2022, , Pages 157-168

https://doi.org/10.22055/ppd.2022.37868.1988

Abstract

IntroductionThe study of genetic diversity is an important step in planning crop breeding programs. According to researchers, diversity of the population under selection ensures the ... Read More IntroductionThe study of genetic diversity is an important step in planning crop breeding programs. According to researchers, diversity of the population under selection ensures the desired results in breeding programs. In this regard, using the capacity of local populations to create new cultivars and achieve maximum diversity is very efficient. Therefore, the purpose of this study is to investigate the agro-morphological traits of pepper populations to identify the breeding potential of local populations for producing hybrid cultivars. Materials and MethodsIn the present study, 30 populations of Iranian peppers were planted in five replications in the research greenhouse of Department of Plant Production and Genetics of Urmia University, in order to study the genetic variability in terms of some agro-morphological traits. The experiment was conducted in a completely randomized design (CRD) in pot conditions in 2016-2017. In this study, variance analysis (ANOVA) and mean comparison of traits by Duncan's multiple range test, estimation of phenotypic correlation by Pearson method and principal component analysis on correlation coefficient and also cluster analysis by Ward method has done and realized. Also, the variance components, heritability (h2), phenotypic coefficient of variation (PCV), genotypic coefficient of variation (GCV), and environmental coefficient of variation (ECV) were calculated. Results and DiscussionThe results showed significant difference among the populations for all studied traits. The highest phenotypic coefficient of variation (PCV) (88.36) was observed for single fruit weight and also the highest genotypic coefficient of variation (GCV) (83.63) was observed for the same trait (single fruit weight). The pulp weight and fruit yield (0.950) had the highest significant positive correlation coefficient and the single fruit weight and fruit number (-0.558) had the highest significant negative correlation coefficient. According to the results of hierarchical cluster analysis, the studied populations were divided into five clusters based on the studied traits. The Tabriz population in the first cluster and the Gharah Bagh-Urmia population in the fourth cluster were superior in the fruit number trait. ConclusionIn this study based on the results of mean comparisons Bash Ghala (from Urmia), Nakhchivan (from Urmia) and Keshtiban (from Urmia) populations were superior in terms of most of the studied traits. Also, Bash Ghala (from Urmia), Nakhchivan (from Urmia) and Keshtiban (from Urmia) populations were in the same cluster had higher fruit yield than other studied populations. Therefore, these populations can be used as one of the top parents in the intersection with other populations to create desirable genetic compounds.

Correlation between Yield and Qualitative Traits of Sugar Beet Cultivars with Rhizomania Disease Indices under Field Infection Conditions

Masoud Ahmadi; Hassan Hamidi; Jamshid Soltani Idliki; Javad Rezaei; Mozhdeh Kakueinejad

Volume 45, Issue 1 , May 2022, , Pages 15-28

https://doi.org/10.22055/ppd.2020.32377.1873

Abstract

IntroductionRhizomania viral disease is one of the limiting factors of sugar beet cultivation and significantly reduces its yield. The most important way to deal with this disease is ... Read More IntroductionRhizomania viral disease is one of the limiting factors of sugar beet cultivation and significantly reduces its yield. The most important way to deal with this disease is to use resistant cultivars. Materials and MethodsIn order to evaluate the correlation between yield and qualitative traits of sugar beet cultivars with rhizomania disease indices, an experiment was conducted in a randomized complete block design with 12 different sugar beet cultivars in four replications in test site with natural infection with rhizomania in Torbat-e-Jam area at two years (2017 and 2018). The traits studied in this study included root yield, sugar content, sugar yield, white sugar content, white sugar yield, sodium, potassium, trace nitrogen, alkalinity, sugar extraction coefficient, leaf growth score, root growth score, disease severity and ELISA test index (OD). Analysis of variance was performed using SAS v.9.1 statistical software. Mean comparisons of traits were performed using LSD test at the probability level of 5 and 1%. Results and DiscussionAnalysis of variance showed significant differences among genotypes for all studied traits except for sodium. Cluster analysis of yield, crop quality as well as rhizomania severity of infection divided the sugar beet cultivars into three groups (resistant, semi-resistant and sensitive). Correlation between traits in a rhizomania infected field and different levels of resistance to rhizomania was different. In all cultivars with different levels of resistance, there was a significant correlation between pure sugar yield with leaf growth score (r=0.88 **), root growth score (r=0.85**), disease severity (r= -0.84 **) and ELISA index (r= -0.67 **) was observed. Therefore, these traits are suitable indicators for evaluation of cultivars for suseptibility or resistance to rhizomania disease. In addition, correlation between ELISA index with disease severity (r=0.83**), leaf growth score (r= -0.61 **) and root growth score (r= -0.67 **) was significant. ConclusionAccording to the obtained results, because the ELISA test and determining the virus concentration is expensive, and on the other hand, this index had a positive and very significant correlation with the severity of the disease infection, so the disease severity index can be used to evaluate cultivars for resistance to rhizomania disease.

Yield Stability Analysis of Advanced Spring Wheat Genotypes under Non-Stress and Drought Stress Conditions

Davood daiyoulhagh; Varahram Rashidi; Saeed Aharizad; Farhad Farahvash; Bahram Mershekari

Volume 44, Issue 4 , December 2021, , Pages 489-502

https://doi.org/10.22055/ppd.2020.33143.1889

Abstract

AbstractIntroductionWheat (Triticum aestivum L.) is the first most important cereal crop in the world. Drought, among abiotic stresses, is known as the most complicated, devastating ... Read More AbstractIntroductionWheat (Triticum aestivum L.) is the first most important cereal crop in the world. Drought, among abiotic stresses, is known as the most complicated, devastating factor against wheat production. Although drought impedes wheat yield at all growth stages, its negative impacts are more critical during the flowering and grain-filling phases (terminal drought) and result in substantial yield losses. A prolonged and severe drought will result in a significant decrease in the production of crop and serious issues of food supply and food security. Given the growing population in developing countries such as Iran, and the economic and political importance of producing this cereal, a serious examination at its production and breeding is warranted. Materials and MethodsIn order to study yield stability analysis of advanced spring wheat genotypes under non-stress and drought stress conditions (stop irrigation in the stage of the emergence of 50% inflorescence of each experimental unit), 28 genotypes were evaluated in 2016-2017 and 2017-2018 cropping years in two separate experiments with a randomized complete block design with three replications in the research field of Islamic Azad University of Tabriz. Results and DiscussionCombined analysis of variance under two conditions in two crop years revealed a statistically significant difference between studied genotypes for all traits (P<0.01). Genotype × condition interaction was significant for seed yield, number of seeds in spike, plant height, harvest index in 5% probability level and 1000 seed weight and biomass in 1% probability level. The results of the present study showed that the studied genotypes had different reactions under different environmental conditions for these traits. Based on the results obtained from parametric method which includes environmental variance and environmental coefficient of variation genotypes Karim, Gabos, Zagros, Aftab, URBWYT-94-3, URBWYT-94-9, URBWYT-94-7 and URBWYT-94-2،; in Wricke's Ecovalence genotypes Morvarid, Arta, Gonbad, Roshan, ERWYT-94-8 and URBWYT-94-10; in average rating genotypes Darya, Aftab, ERWYT-94-7, URBWYT-94-10, URBWYT-94-2 and URBWYT-94-4; in standard deviation of rank genotypes Morvarid, Gonbad, Superhead, Arta, Roshan and URBWYT-94-10 known as stable genotypes. Based on non-parametric method of Ketata et al. genotypes Roshan, URBWYT-94-10، ERWYT-94-8 and ERWYT-94-7 known as the stable and high yields genotypes. Overall, the genotypes Karim, Aftab, Roshan, URBWYT-94-7، URBWYT-94-9، URBWYT-94-10 and URBWYT-94-2 introduced as the stable and high yields genotypes. The findings of the study revealed that the results of environmental variance statistics and coefficients of environmental variation are similar, indicating a common trait between them. In other words, the genotypes that were known as sustainable genotypes based on environmental variance stability statistics are exactly those genotypes that were identified as sustainable genotypes based on environmental stability coefficient statistics. ConclusionAs regards the genotypes that were known as sustainable genotypes based on environmental variance stability statistics are exactly those genotypes that were identified as sustainable genotypes based on environmental stability coefficient statistics Therefore, it can be argued that environmental variance stability statistics and environmental stability coefficient statistics are the best indicators in the identification of the stable genotypes in terms of yield.

Evaluation of Adaptation and Sustainabilit of Winter Oilseed Rape Mutant Lines in Cold and Mild Cold Regions of Iran by GGE Biplot Method

Mehrzad Ahmadi; Mansoor Omidi; Bahram Alizadeh; Ali Akbar Shah nejat Bushehri

Volume 44, Issue 3 , December 2021, , Pages 345-347

https://doi.org/10.22055/ppd.2021.33627.1912

Abstract

AbstractIntroductionOilseed rape is the third most important oil crop in the world after oil palm and soybean. The world's oilseed rape production was 4.6 million tons in 2018-2019 ... Read More AbstractIntroductionOilseed rape is the third most important oil crop in the world after oil palm and soybean. The world's oilseed rape production was 4.6 million tons in 2018-2019 and has the ability to compensate for the lack of edible oil in Iran (containing 40-45% oil). The production of this crop is mainly done by using two zero cultivars with a low level of glucosinolate in the feed and the absence of Erucic acid in the oil. Two types of oilseed rape are cultivated in Iran, spring and autumn. Spring type is cultivated in warm regions of the Caspian Sea coast and southern regions of the country and its autumn type is mostly cultivated in cold and mild cold regions. Materials and MethodsIn this study 16 rapeseed mutant lines obtained through Gama radiation of three rapeseed cultivars Talaye, Zarfam and Express with 800, 900 and 1200 gray dose rates, followed by 7 selfing generation, are compared during two years for earliness, seed and oil yield and other important agronomic traits in four regions Karaj, Kermanshah, Esfahan and Zarghan with three check varieties. The oil content of rapeseed varieties and lines were determined by NMR (nuclear magnetic resonance) at chemic laboratory of Oilseed Crops Research Department of Seed and Plant Improvement Institute. Finally, the highest yield early maturity lines were defined. Each treatment was sown in plot with four rows, four meters lenght and 30 cm between row distances. The experimental field was prepared in late summer and chemical fertilizer were given to it. The sowing experiment were planned for late week of September until the first week of October.At the end of each cropping year, the yield of each plot was harvested separately and the statistical calculations were carried out after the gathering of two years results by GGE biplot method. Results and DiscussionResults of combined ANOVA showed that main effects of year and genotype, interaction of location ×genotype; year × location, and interaction of year, location and genotype had significant effects on grain yield. The genotypes showed the highest and the lowest grain yield in Kermanshah 4016 kg/ha and Zarghan 2886 kg/ha stations, respectively. Line T-900-4 produced the highest grain yield 3840 kg/ha in all locations. To study the interaction of genotypes and environments, GGE biplot method was used. Based on the polygonal graphs related to genotypes, line Z-800-6, Z-900-7, Okapi and Z-800-3 produced the highest yield in Karaj, Zarghan, Kermanshah and Esfahan, respectively. Regarding the imaginary ideal genotype graph and biplot of genotypes and environments and seed yield ranking, line Z-900-7 were identified as the best genotypes due to its higher yield and stability. ConclusionIn Iran, 70% of rapeseed production is done in warm regions and only 30% in cold regions. Therefore, breeding cold-tolerant cultivars by using mutations will increase rapeseed cultivation in the cold region of Iran.

Estimating Breeding Value of Pomological Traits in Grape Cultivars Based on REMAP Molecular Markers

Mitra Razi; Reza Darvishzadeh; Hamed Doulati Baneh; Mohammad Esmaeil Amiri; Pedro Martinez-Gomez

Volume 44, Issue 4 , December 2021, , Pages 515-530

https://doi.org/10.22055/ppd.2020.34003.1925

Abstract

AbstractIntroductionOne of the most important goals of grapes breeding is to obtain seedless grapes with large berries and good taste. In order to achieve table and raisin grape varieties ... Read More AbstractIntroductionOne of the most important goals of grapes breeding is to obtain seedless grapes with large berries and good taste. In order to achieve table and raisin grape varieties with good quality, desirable taste and larger berries with various colors, it is necessary to estimate the breeding value of the desired traits. In this study, breeding values of fourteen characters in 45 grape cultivars were predicted using the best linear prediction (BLUP) pediction. The purpose of the study was to estimate the breeding value of the grape cultivars and to identify the superior cultivars. The results of this study can be of great help to breeders in selecting cultivars with favorable market traits and cultivars with better yield. Materials and MethodsIn this study, 45 grape cultivars in the collection of Agricultural and Natural Resources Research Center of West Azerbaijan Province were used. From each of the cultivars in the first year of research, ten 14-year-old plants were selected and TSS, pH, TA, berry weight, flesh weight, single seed weight, seed number, juice volume, pollen germination, cluster length, cluster width, cluster weight, fruit set in open and under controlled pollination were investigated. The characteristics were measured for three consecutive years. Results and DiscussionBased on the results, considering the sum of the breeding values of all the studied traits, Agh Shani, Taifi, Qzl Ouzum, Lal Qermez, Tabarze Qermez, Garmian, Rishbaba Qermez and Qara Shani cultivars had the highest rank. Among the studied seedless cultivars, Rejin cultivar had the highest breeding value in terms of single seed weight, and Keshmeshi Sefid cultivar in terms of seed number. Among the seeded cultivars, Shirazi cultivar showed the highest breeding value in terms of single seed weight and Qara Shani cultivar in terms of seed number. Garmian, Rishbaba Qermez, Keshmeshi Qermez, Tabarze Qermez, Agh Shani and shirazi had positive breeding value for pollen germination, fruit set in open pollination and fruit set under controlled pollination. Sarghola, Gazandaii and Qzl Ouzum cultivars had the high and positive breeding value for berry weight and fresh weight. Lal Qermez, Rishbaba Qermez and Tabarze Qermez cultivars had high and positive breeding value for cluster weight, cluster width and cluster weight. Genotypes with the highest breeding value had the highest ability to transfer their traits to offspring. Therefore, they can be used as a desirable parent to modify these traits in crop breeding programs. ConclusionIn this study, breeding values of fourteen characters including total soluble solids, titratable acidity, berry weight, flesh weight, single seed weight, seed number, juice volume, fruit set in open pollination, pollen germination, cluster length, cluster width, cluster weight, fruit set under controlled pollination in 45 grape cultivars were predicted using the best linear prediction (BLUP) prediction. Studied cultivars showed different breeding values for the studied traits. Genotypes with the highest breeding value can be used as a desirable parent to modify these traits in grape breeding programs as these genotypes have the highest ability to transfer their traits to offspring.

The Dose Response and Mutation Induction by Gamma Ray in Vicia Faba Cv. Saraziri

Mohammad Reza Siahpoosh; Bahare Tahmasebi; Daryoosh Nabati Ahmadi; Masoud Rahimi

Volume 43, Issue 4 , December 2021, , Pages 517-526

https://doi.org/10.22055/ppd.2020.31265.1831

Abstract

ABSTRACT Introduction:Sufficient genetic variation is an essential source for having a successful breeding program. Mutation is known to be a high throughput technique to induce genetic ... Read More ABSTRACT Introduction:Sufficient genetic variation is an essential source for having a successful breeding program. Mutation is known to be a high throughput technique to induce genetic variation in plants. Irradiation is the most common method of inducing mutations in plants mutation breeding programs leading to the production of mutants with superior genotypes. Faba bean is a crop whose diversity needs to be improved for breeding programs in Iran. Unfortunately, few researches have been carried out on mutagenesis of faba bean. Materials and Methods:In the present study, the dose response and effects of gamma irradiation have been investigated by exposing the seeds of Vicia fabacv. Saraziri to doses of 25, 35, 45, 55, 100, and 120 Gray (Gy) in the Lab at the college of Agriculture, Shahid Chamran University of Ahvaz in 2013 to 2015. The implementation of the research was under the guidance and in cooperation with the Atomic Energy Organization of Iran. The experiments were assigned as a completed block design with four replications in both laboratory and the field. Results and Discussion:The results of the analysis of the variance indicated that there was no significant difference in germination trait of M0 generation in the seeds at various gamma irradiation doses whereas, germination rate, seedling length, and weight were significantly altered at varied doses (P≤0.05), and further responses of these traits decreased as the dosage increased. Moreover, increasing the irradiation doses caused a delay in flowering, pod setting, and pod ripening period in M2 generation. A linear regression between different characters and gamma doses was detected. Lethal dose, 50% (LD50) for fertility and seed setting, was detected as between 60-65 Gy based on reproductive traits. The principal component analysis revealed information that the first two components within the traits at the different doses were accounted for approximately 71% of the total variance. Using the biplot diagram of the first two components, 320 mutant plants appeared and the superior one within plants was identified as compared to control. Conclusion: This research is reported the optimum dose of gamma irradiation of 50 to 55 Gy to exert mutation induction in Vicia Faba based on the LD50 of vegetative and reproductive phases. The findings of the current work acquired several promising mutants that might be used as beneficial sources to develop new faba bean cultivars.

Response of Different Tomato Varieties to the Replacement of Chemical Toxins Controlling Tomato Fruit Borer (Helicoverpa armigera Hubner) by Some Endogenous Plant Compounds

Zahra Qalebi; Mohammad Modarresi; Fariba Sohrabi; Dariush Saberi; Mohammad Hedayat

Volume 44, Issue 4 , December 2021, , Pages 531-544

https://doi.org/10.22055/ppd.2021.34980.1940

Abstract

AbstractIntroductionPests and their controlling pesticides are among the most serious threats to the health of agricultural products. The present study was aimed to investigate ... Read More AbstractIntroductionPests and their controlling pesticides are among the most serious threats to the health of agricultural products. The present study was aimed to investigate the effect of variety and the possibility of replacing chemical pesticides controlling fruit borer with some compounds of natural origin for plant traits improvement and damage reduction of tomato fruit borer. Factorial experiment was done in the template of randomized complete block design with three repetitions. Materials and MethodsFactors included 9 levels of pest control compounds and 5 varieties (PA-136, PA-162, PA-135, PA-688 and PA-483). Compounds involved Salicylic acid (5 and 15 mM), Jasmonic acid (50 and 100 μM), two pesticides, Abamectin (750 and 1500 mg/L), Chlorpyrifos (1250 and 2500 mg/L) and control. Measured traits involved morphological traits (fruit yield, fruit weigh, numbers of fruit per cluster, plant height and chlorophyll index), phonological traits (days to flowering and days to physiological maturation), phytochemical traits (TA, TSS, and ascorbic acid (Vitamin C)) and relative properties to evaluating resistance to fruit borer (the percentage of leaf and fruit damage). Results and DiscussionSignificant variation was observed between varieties. The maximum fruit yield per plant was related to PA-136 variety with applications of two-levels of Chlorpyrifos and Jasmonic acid, PA-162 variety with application of first level of Abamactin, second level of Salicylic acid and PA-135 and PA-688 varieties with the second level of Chlorpyrifos. The highest significant positive correlation with yield related to single fruit weight (r=0.48**) and the highest significant negative correlation were related to days to flowering (r= -0.52**). In stepwise regression analysis of single plant yield as a dependent variable, three traits including days to flowering, single fruit weight, and a percentage of pest damage on leaf (as the most important traits) were incorporated in the regression model that totally explained 49% of variations. Path analysis results indicated that the highest positive direct effect (0.42) was related to single fruit weight, and the highest indirect effects (-0.047) had to do with this trait via days to flowering. The first four components were chosen in principal component analysis, explaining totally 62.5% of phenotypes variation. ConclusionReducing pest damage on leaf and fruit in applying Salicylic acid and Jasmonic acid is suitable and resulted in the same level of chemical control use.Thus, findings may be used in the design of breeding programs for plant trait improvement and integrated pest management of tomato fruit borer.

Study the Combinability of Yield and Yield Components in S7 Maize Lines

Mehdi Rahimi

Volume 44, Issue 4 , December 2021, , Pages 613-623

https://doi.org/10.22055/ppd.2020.33870.1916

Abstract

AbstractIntroductionMaize (Zea mays L.) is the fourth most important cereal after wheat, barley and rice in Iran (Ahmadi et al., 2018). Given the future demand of corn as a food ... Read More AbstractIntroductionMaize (Zea mays L.) is the fourth most important cereal after wheat, barley and rice in Iran (Ahmadi et al., 2018). Given the future demand of corn as a food for humans and as a feed for livestock, there is a continuous need to evolve new hybrids with high yield. To achieve this, combining ability study is one of the best options (Reddy Yerva et al., 2016). Griffing diallel method (Griffing, 1956a; b) is one of the methods that examines how genetic control traits in parents. It also evaluates the general and specific combining ability of parents and hybrids. The purpose of this study was to estimate the general and specific combining ability of parents and hybrids. Materials and MethodsIn order to estimate the gene action and heritability of important agronomic traits, five S7 maize lines were crossed in a 5×5 half-diallel and F1 hybrids derived from them were cultivated in a randomized complete block design with three replications at the Research Farm of Graduate University of Advanced Technology, Kerman, Iran in 2017. Number of ear, grain number per row, grain row number, grain number per ear, ear length, 100-grain weight and grain yield per square meter were evaluated. Analysis of data for general and specific combining ability was carried out following Griffing (1956) method IV model I using DIALLEL-SAS05 program (Zhang et al., 2005). Results and DiscussionAnalysis of variance revealed that there was a significant difference between genotypes for all studied traits that showed the role of additive and non- additive effects in controlling these traits. The low ratio of GCA variance to SCA for the grain row number and number of ear traits, and in other words, the lack of significant GCA variance of these traits showed that genetic control of these traits has a non-additive effect. General (GCA) and specific (SCA) combining ability variances for grain number per row, grain number per ear, ear length, 100-grain weight and grain yield per square meter were significant at 1% probability level, indicating the control of these traits by additive and non-additive effects of genes with a greater proportion of additive gene effects. ConclusionThe results of this study indicated that although genes with both additive and non-additive effects played a role in controlling of yield and its component traits, in controlling the traits of ear number and rows, the role of non-additive effects was greater. However, other traits were more controlled by the additive gene effects. The Line 14 had positive and significant GCA for the yield trait and most of its related traits, which indicated that the line could be used in breeding programs to improve yield and increase it. The results also showed that the P1 × P2 and P3 × P5 crosses had positive and significant SCA for yield and its related traits, so these hybrids might be the best for improving and increasing maize grain yield.

Evaluating the Effects of Growth Promoting Fertilizer Containing Seaweed Extract and Mother Corm Weight on Antioxidant Activity and Stigma Quality of Saffron

Sakineh Khandan Deh-Arbab; Mohammad Hossein Aminifard; Hamid-Reza Fallahi; Hamed Kaveh

Volume 43, Issue 2 , September 2020, , Pages 213-226

https://doi.org/10.22055/ppd.2019.26492.1630

Abstract

Abstract Background and ObjectivesAlgae are usually aquatic photosynthetic organisms that sequester CO2 in their biomass. They are rich in organic matter and nutrients, and thereby ... Read More Abstract Background and ObjectivesAlgae are usually aquatic photosynthetic organisms that sequester CO2 in their biomass. They are rich in organic matter and nutrients, and thereby can be used in agriculture as an organic fertilizer. Their application will lead to the production of healthy and qualitative foods. To the best of our knowledge, so far the effect of application of marine algae has not been evaluated on saffron qualitative parameters. Therefore, the aim of present study was to investigate the effect of algae in different levels of mother corm weight on qualitative indices of petals and stigmas in saffron. Materials and MethodsTo investigate the effect of growth promoting fertilizer containing seaweed extract and mother corm weight on qualitative parameters in petals and stigmas of saffron (Crocus sativus L.), an experiment was conducted at Research Field of College of Agriculture at University of Birjand in 2017. The experimental factors included seaweed extract (0, 15 and 30 l ha-1) and corm weight [0.1-4 (small), 4.1-8 (medium) and 8.1-12g (large-sized)], which were tested in a RCBD with three replications. ResultsThe use of algae extract had a significant effect on the petal yield, carotenoid content and antioxidant activity of petals (antioxidant and anthocyanin content) and quality of stigma (picrocrocin, safranal and crocin content). The highest amounts of dry petal yield (0.027 g plant-1), carotenoid content (1.83 mg g-1 FW), anthocyanin (24.49 mg 100g-1 DW), antioxidant (29.80%), safranal (42.43), crocin (198.78) and picrocrocin (74.57) were obtained when seaweed extract was used at the rate of 30 l ha-1. However, no significant difference was found between the two levels of algae extract in terms of all mentioned parameters. The lowest values of petal yield (0.023 g plant-1), carotenoid (1.04 mg g-1 FW), anthocyanin (22.29 mg .100 g DW), antioxidant (25.54%), safranal (40.61 λ), crocin (176.64 λ ), and picrocrocin (72.60 λ ) were obtained from control treatment. Mother corm weight also exerted a significant effect on antioxidant activity, petals anthocyanin content and safranal content in stigma and the highest of them were gained when large-sized mother corms were planted. The interaction effect of experimental factors was not significant on measured parameters. DiscussionOverall, the results of this study indicated the beneficial effects of seaweed extract on improving biochemical traits and effective ingredients, which is appropriate for organic production of saffron. The positive role of algae on plants is related to providing micro- and macro-nutrient as well as production of biologically active biotical substances against plant-infecting pathogens. In addition, they have a significant role in improving soil physical and chemical properties, which lead to better growth and development of the plants. Better quality of saffron produced from larger mother corms may also be related to more nutrient reservoir in such corms.

Investigating the Expression of Pinene Synthase and Linalool Genes in Response to Gibberellic Acid in Yarrow (Achillea millelium L.) Plant

Omid Poorraskari; Daryoosh Nabati Ahmadi; Khosro Mehdikhanlou; Leila Nejhadsadeghi

Volume 43, Issue 1 , June 2020, , Pages 13-24

https://doi.org/10.22055/ppd.2019.27042.1652

Abstract

Abstract Background and Objectives Currently, there is an immense attention towared medicinal plant and secondary motabiltes. Yarrow (Achillea millefolium L.) is a medicinal plant which ... Read More Abstract Background and Objectives Currently, there is an immense attention towared medicinal plant and secondary motabiltes. Yarrow (Achillea millefolium L.) is a medicinal plant which consists of two important compounds; including penene and linalool. Since these two compounds have the importance values, the researchers significantly focused on them. The rate of transcript expression of penene synthesis and Linalol synthesis induced at the end of 2-c-methyl-D-erythritol-4-phosphate (MEP) pathway that caused to produce Penene and Linalol. In order to evaluate the synthesis of Penene and Linalol, a research study was carried to exame the exogenous treatment (zero, 25 and 50 mg/l) of gibberellic acid (GA3) at different times (24, 48 and 74 hr.) on Yarrow at the greenhouse on 1395-1397. The results of R-PCR indicated that significant rate of the transcript expression was related to the Penene synthesis at 25 mg concentration of GA3 at the 48 hr after treatment. In the most samples as the rate of the Penene synthesis increased the rate of Linalol synthesis decreased. The evidences suggested that the exogenous treatment of GA3 induced a transduction signal in the plant. In which at the end, the plant molecular process respond to it and showed in overall that evaluation of GA3 implemented different encoding gene expression for theses compounds, and illustrated that when the Penene synthesis inceased in the treated plant the Linalol synthesis dcreased simontenously. Materials and Methods A greenhouse pot trial was conducted at the Experimental Research Station of College of Agriculture at Shahid Chamran University of Ahvaz. The plants used in this study were provided from the National Center for Genetic and Biological Resources of Iran, with access code P1000093. Two months after seed germination, the desired amounts of gibberellic acid were prepared with distilled water (25 mg/l and 50 mg/l), and then each potted plant was sprayed uniformly with 10cc of prepared solution. Sampling was carried out by collecting the leaves of treated plants at 24, 48 and 72 hours after the treatment. The phenol-chloroform method (Wang and Ghabrial, 2002) was conducted with some modifications to extract RNA of collected leaves at the two biological replications. Quantity and quality of extracted RNAs were measured using Nanodrop and electrophoresis of %1 agarose gel. Synthesis of cDNA was performed using the Takara cDNA synthetase kit according to its manufacturer's instructions. Partial sequences of pinene synthase and linalool synthase genes were obtained in an early experiment in our laboratory (data is not published). The coding sequence of the target genes in other plants within the same family aligned with our obtained sequences to identify conserved segments for each gene using CLUSTAL W program. The standard housekeeping actin for yarrow with accession number JX679606.1, which is available in the public GenBank database, used to normalize the expression of the genes of interest. The primers of all genes (pinene synthase, linalool synthase and actin) were designed from the conserved sequences by PrimerQuest Tool, and then verified with oligoanalyzer v.3.1. Relative expressions of target genes were determined using real-time PCR with SYBR green fluorescence detection. Relative differences in target gene expression were calculated using REST software. Results The acquired result of real-time PCR revealed that in pinene synthase gene, the highest amount of transcription occurred at 48 hours after the treatment with the concentration of 25 mg of gibberellic acid and, interestingly, the lowest expression of the transcript for linalool synthase gene observed at the same level of concentration and time. In most of the samples, with the increase in pinene synthase transcriptase, the amount of linalool synthase transcript decreased. Discussion Taking into account the fact that both pinene and linalool are synthesized from the common substrate geranyl diphosphate. Therefore, an increase in the expression one leads to reduction in the transcript expression of the other one in the same pathway. Our results also confirmed that the transcription level of pinene synthase gene has been increasingly altered in response to the applied concentrations of exogenous gibberellic acid, resulting in a reduction in the expression of linalool synthase gene. Evidence suggests that the application of gibberellic acid triggers a cascade of molecular events which ultimately constitutes the plant response to the elicitor.

Assessment of Yield and Agronomic Characteristics of Promising Lines of Rice

Elnaz Khalil Khalili; ghafar kiani; seyed kamal kazemi tabar

Volume 43, Issue 1 , June 2020, , Pages 107-116

https://doi.org/10.22055/ppd.2019.26920.1643

Abstract

Abstract Background and Objectives Determination of morphological characteristics of different promising lines of rice and the effects they have on yield can be considered a ... Read More Abstract Background and Objectives Determination of morphological characteristics of different promising lines of rice and the effects they have on yield can be considered a good tool for identification of preferable lines with ideal agronomical traits. Materials and Methods In order to evaluate the most important characteristics of cultivars affecting yield in 2017, a field experiment was conducted in a research farm of Sari University of Agricultural Sciences and Natural Resources, in a randomized complete block design with three replications, in 5 square meters plots with 25×25 space between them. Morphological characteristics include plant height, panicle length and number measured before harvest in the farm, as well as other characteristics after harvest in laboratory. At the end of growth season, panicles were harvested and collected in separate bags and were selected randomly for measurement of their morphological characteristics. Mean comparisons were calculated with Duncan method in 5% level of possibility. Also, variance analysis was calculated for all the traits. Cluster analysis was calculated with ward method. The genotypes were 30 promising lines of rice. In this study, 10 traits including plant height, panicle length, panicle number, total number of grains, number of filled grains, grain length, grain diameter, grain length to width ratio, 1000 grain weight and yield were evaluated. Results Correlation analysis results showed that there was a positive and significant correlation between yield and number of panicles, number of filled grains and 1000 grain weight, but the length of the grain had a negative significant correlation with yield.The results of path analysis showed that the number of filled grains had the highest direct effect (0.67), and, after that, the number of panicles (0.59) and grain width (0.47) had the highest effect on yield.Therefore, based on the results obtained from this study, number of panicles and number of filled grains as selection index on rice yield improvement were identified.The results of cluster analysis of the studied lines were also classified into four groups. The genotypes in the second and the third, in addition to the higher yields, had the lower height, number of tillers and more grain number.The average deviation of clusters from total mean was calculated for these lines and the existence of this deviation can demonstrate diversity. The genotypes in the second group add up to 57% of all the genotypes, which is above the total mean in traits including panicle number, grain length, grain diameter, 1000 grain weight and yield. Discussion According to the results of this study, the highest lines in terms of yield and other agronomical characteristics were 8, 13, 14, 15 and 28. Also, traits including number of panicles and filled grain number can be considered selecting factors for improvement of rice yield. Abstract Background and Objectives Determination of morphological characteristics of different promising lines of rice and the effects they have on yield can be considered a good tool for identification of preferable lines with ideal agronomical traits. Materials and Methods In order to evaluate the most important characteristics of cultivars affecting yield in 2017, a field experiment was conducted in a research farm of Sari University of Agricultural Sciences and Natural Resources, in a randomized complete block design with three replications, in 5 square meters plots with 25×25 space between them. Morphological characteristics include plant height, panicle length and number measured before harvest in the farm, as well as other characteristics after harvest in laboratory. At the end of growth season, panicles were harvested and collected in separate bags and were selected randomly for measurement of their morphological characteristics. Mean comparisons were calculated with Duncan method in 5% level of possibility. Also, variance analysis was calculated for all the traits. Cluster analysis was calculated with ward method. The genotypes were 30 promising lines of rice. In this study, 10 traits including plant height, panicle length, panicle number, total number of grains, number of filled grains, grain length, grain diameter, grain length to width ratio, 1000 grain weight and yield were evaluated. Results Correlation analysis results showed that there was a positive and significant correlation between yield and number of panicles, number of filled grains and 1000 grain weight, but the length of the grain had a negative significant correlation with yield.The results of path analysis showed that the number of filled grains had the highest direct effect (0.67), and, after that, the number of panicles (0.59) and grain width (0.47) had the highest effect on yield.Therefore, based on the results obtained from this study, number of panicles and number of filled grains as selection index on rice yield improvement were identified.The results of cluster analysis of the studied lines were also classified into four groups. The genotypes in the second and the third, in addition to the higher yields, had the lower height, number of tillers and more grain number.The average deviation of clusters from total mean was calculated for these lines and the existence of this deviation can demonstrate diversity. The genotypes in the second group add up to 57% of all the genotypes, which is above the total mean in traits including panicle number, grain length, grain diameter, 1000 grain weight and yield. Discussion According to the results of this study, the highest lines in terms of yield and other agronomical characteristics were 8, 13, 14, 15 and 28. Also, traits including number of panicles and filled grain number can be considered selecting factors for improvement of rice yield. Keywords: Cluster analysis, Correlation,New lines

The Evaluation of the Elite Genotypes for Drought Tolerance in Cumin (Cuminum Cyminum L.) Using Drought Tolerance Indices

Maryam Dorrani-Nejad; Sonia Aghighi; Ghasem Mohammadi-Nejad

Volume 42, Issue 2 , June 2019, , Pages 227-238

https://doi.org/10.22055/ppd.2019.24247.1539

Abstract

Abstract Background and Objectives Cumin (Cuminum cyminum L.) is one of the most important aromatic and medicinal plants in the world. It has a short life cycle (100-120 days) ... Read More Abstract Background and Objectives Cumin (Cuminum cyminum L.) is one of the most important aromatic and medicinal plants in the world. It has a short life cycle (100-120 days) and needs little water for its growth cycle. Therefore, it is suitable for cultivation in arid and semi-arid regions of Iran. Different indices, including tolerance (TOL), mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), stress susceptibility index (SSI), harmonic mean (HM), yield index (YI), and yield stability index (YSI) have been employed for screening the stress tolerant genotypes. Due to the economic, medicinal, and aromatic importance of cumin, this study evaluated elite genotypes for drought tolerance in cumin in order to develop improved genetic population for farmers’ usage. Materials and Methods The experiment was carried out in the research field of Shahid Bahonar University of Kerman, during the growing season of 2016-2017. In this study, 15 elite genotypes in cumin were evaluated using a randomized complete block design with three replications in two different environments, including normal and stress conditions. Stress treatment was cutting-off irrigation at the early flowering stage. Seed yield (ton/ha) was measured. Tolerance indices were calculated for genotypes based on the seed yield. To find suitable indices in order to determine the tolerant genotypes, the correlation coefficient between the calculated indices YP and YS was performed. To evaluate the relationship between the tolerance indices and the studied genotypes, principal components analysis (PCA) was performed. In order to use all tolerance indices simultaneously, an equation was used for estimating the stress tolerance score (STS). Results The results of the correlation analysis revealed that GMP, MP, and STI indices were positively correlated with seed yield under both stress and non-stress conditions. Therefore, they can be suitable indices for determining tolerant genotypes. Principal components analysis (PCA) showed that the first and second Principal component explained 61.89% and 37.52% of the total variation, respectively. According to the bi-plot graph, genotypes No. 7, 12, 8, and 13 with high MP, GMP, and STI scores and low TOL and SSI scores had the highest tolerance to drought stress. Based on the calculated STS (stress tolerance score), genotypes No. 7, 4, 12, 8, and 13 were the most tolerant genotypes and genotypes No. 14, 10, 6, 9, and 2 were the most sensitive genotypes, respectively. These results were identical with the results of bi-plot analysis. Moreover, this equation is much easier to be used than the multivariate analysis, such as principal components analysis (PCA). Discussion The aim of this study was the evaluation and selection of tolerant genotypes with high seed yield, and based on the results obtained from all the applied methods, it can be concluded that genotypes No. 7, 4, 12, 8, and 13 are identified as tolerant genotypes and were recommended to develop improved genetic population after being-tested in other places.

Study of Correlation Coefficients of Agronomic Traits and Path Analysis of Seed Yield in Rye

Khadije Nayebi Aghbolag; Naser Sabaghnia; Mokhtar Pasandi Somehsofla; Mohsen Janmohammadi

Volume 42, Issue 1 , April 2019, , Pages 31-46

https://doi.org/10.22055/ppd.2019.22523.1486

Abstract

Abstract Background and Objectives Rye (Secale cereale L.) is one of the important and valuable Gramineae that is used for bread making and fed in some areas. Identifying correlation ... Read More Abstract Background and Objectives Rye (Secale cereale L.) is one of the important and valuable Gramineae that is used for bread making and fed in some areas. Identifying correlation coefficients among the measured traits is very important and aids to evaluating the magnitude of interrelationships between how traits can facilitate the application of indirect selection in plant breeding programs. The target of this research was estimating the correlation coefficients, and path analysis among some important traits for selection criteria for improving grain yield in rye. Materials and Methods In order to evaluate the relationships between seed yield and its components, 64 different rye genotypes were evaluated in simple lattice design with two replications during 2016 in Maragheh region. Phenotypic correlation coefficients were calculated for ten characters during the growing season and the correlation coefficients between grain yield and different characters were subjected to path coefficient analysis separately for partitioning these values into direct and indirect effects. Stepwise regression technique was used to obtain the best fitted model as well as to estimate direct and indirect effects via path coefficient analysis. Applying bootstrap method verified the obtained results from conventional method. Results Correlation analysis showed that seed yield was associated significantly and positively with spike weight, weight of seeds per spike, harvest index of spike, seed number per spike, number of spike per area and harvest index traits. Using stepwise regression analysis, the share of the most important traits was determined and weight of seeds per spike and number of spike per area entered into regression model and explained 75 percent of the existing variation among genotypes. The results derived from path analysis indicated that, two above mentioned traits had significant effects on seed yield with 0.71 and 0.60 coefficients, respectively. On the other hand, spike weight had the most direct and indirect effects through increasing weight of seeds per spike on seed yield. Discussion In general, from this study we found that two traits including weight of seeds per spike and number of spike per area as the first order and related traits to spike, thousand seed weight, stem diameter, harvest index, awn length and plant height were in the second order for increasing seed yield and could be used as the selection indices for improving seed yield. Also, the used method for obtaining path coefficients was proved useful in analyzing correlation coefficients in breeding programs for evaluation of interrelated variables.

Combining Ability and Heterosis for Some Agro-Morphological Traits in Potato (Solanum tuberosum L.) Using Line × Tester Mating Design

Mina Moghaddaszadeh; Rasool Asghari Zakaria; Davoud Hassanpanah; Nasser Zare

Volume 42, Issue 1 , April 2019, , Pages 63-76

https://doi.org/10.22055/ppd.2019.23241.1512

Abstract

Abstract Background and Objectives The nature and magnitude of gene action is an important factor in developing an effective breeding program. Combining ability analysis is useful ... Read More Abstract Background and Objectives The nature and magnitude of gene action is an important factor in developing an effective breeding program. Combining ability analysis is useful in assessing the potential inbred lines and helps in identifying the nature of gene action involved in various quantitative characteristics. This information is helpful to plant breeders for formulating hybrid breeding programs. Therefore, the objectives of the present research were to determine combining ability, heritability and heterosis of tuber yield and some agronomic traits in potato using line × tester mating design. Materials and Methods In order to determine combining ability, heritability and heterosis of tuber yield and some agronomic traits in potato, three lines were crossed with two testers. Parents and their F1 progenies were arranged in randomized complete block design with three replications using line × tester (3 × 2) mating design. Results Analysis of variance showed significant differences among genotypes for all traits; thus line × tester analysis was performed. Among the lines, line L1 (Caeser) had significant positive GCA for tuber yield, tuber weight per plant, tuber number per plant, main stem number and plant height. Among the testers, tester T1 (Luca) showed significant positive GCA for tuber yield, tuber weight per plant, tuber number per plant and tuber dry matter. Among the hybrids, the hybrids (Satina × Luca) (T1 × L3) and (Caeser × Savalan) (T2 × L1) showed significant positive SCA effects for tuber yield, tuber weight per plant and tuber number per plant. The SCA variance was higher in magnitude than the GCA variance for all the characteristics and baker coefficient indicated the predominance of non-additive type of gene action for the expression of these characteristics. High general heritability and relatively low specific heritability were observed for all traits. Hybrid (Satina × Luca) had the highest heterosis for tuber yield. Discussion The importance of additive and non-additive genetic effects is well established in controlling many traits in potato. It was shown that the dominance effects of the genes played a major role in the variation of tuber yield in potato. Based on the results of the current study the SCA variance was higher in magnitude than the GCA variance for all the characteristics and baker coefficient indicated the predominance of non-additive type of gene action for the expression of these characteristics. Heterosis and combining ability is prerequisite for developing a good hybrid variety of potato. According to this research, the (Satina × Luca) cross had the highest heterosis for tuber yield and was recommended as the most promising combination for developing high yielding hybrid potato genotypes.

Effect of Different Ploidy Levels on Pollen Grain Fertility, Seed Germination and Seedling Transplanting Ability of Eggplant

H. Kaveh; H. Neamati

Volume 41, Issue 2 , September 2018, , Pages 1-12

https://doi.org/10.22055/ppd.2018.18116.1350

Abstract

Abstract Background and Objectives Eggplant (Solanum melongena L.) is an economically important crop with a wide range of fruit shapes and colors. Breeding programs in eggplant focus ... Read More Abstract Background and Objectives Eggplant (Solanum melongena L.) is an economically important crop with a wide range of fruit shapes and colors. Breeding programs in eggplant focus mainly on fruit quality. Production of commercial triploid cultivars and emission of seeds in fruits may increase acceptability by consumer and increase fruit quality. Induced tetraploidy and cross between di and tetraploid parental line is a conventional method used in different fruits and vegetables like watermelon. The current study aim to find how may induced tetraploidy affect pollen grain quality, its fertility, seed and transplant vigor in different eggplant cultivars. Materials and Methods Aiming to investigate autotetraploidy in four qultivars of Solanum melongena L., Keshtzar, Yalda, Chahboland and Passargad on fertility, number of days till fruit-set, germination rate and percentage and successful transplanting percentage, a survey was done in a completely randomized design. Tetraploid plants were derived from seed maceration/shoot tip treatment (0.5, 1 and 2 percent of colchicine). To ensure ploidy level, chromosome counting of root tips and flow-cytometry was done during the experiment. To quantify germination percentage and rate, 15 seeds of each cultivar in each ploidy level were placed in petri-dishes in three replications. The seeds of each ploidy form were sown in seedling trays and after seedling period, plugs were transplanted in field for evaluation of characteristics in different ploidy levels. Growth and development rate of plant in seedling stage observed since seeds were cultivated. As soon as hypocotyl appeared on the surface, they were counted. Then seedling emergence and rate were calculated. To test viability of pollen grains, they were stained using acetocarmen. In order to find best parental lines, 18 plants from each cultivar and in each ploidy level were cultivated in the greenhouse condition in three replications. Then all plants were crossed competley (direct and reciprocal). Di and tetraploid plants were tested to find out which one would be better as which parent. Results Number of days till fruit-set, characteristics of seed and seedling and growth rate in seedling stage were significantly (P≤5%) influenced by changes on levels of poloidy. Pollen grain staining with acetocarmine for evaluation of fertility percentage in pollen grains showed that with an increase in ploidy level, fertility may significantly increase (P≤5%). In an effort to triploid plant production, none of the crosses between di and tetraploid plant could bear fruit. Discussion With the overall results, despite slower growth, can be tetraploid plant, due to improved germination and seedling emergence, survival and reproductive capabilities, higher transplanting success in this category of plants, induced increase in the number of chromosomal bundles can be considered as a good way to create genetic variation and prepare parental lines with desirable traits for use in the breeding programs.

Volume 47 (2024)

Volume 46 (2023)

Volume 45 (2022)

Volume 44 (2021)

Volume 43 (2020)

Volume 42 (2019)

Volume 41 (2018)

Volume 40 (2017)

Volume 39 (2016)

Volume 38 (2015)

Volume 37 (2014)

Volume 36 (2013)

Volume 35 (2012)

Volume 34 (2011)

Volume 33 (2010)

Volume 32 (2009)

Main Subjects = B: Plant Breeding

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