Plant Productions

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.

The Multivariate Statistical Methods to Study the Relationships among Safflower Traits under Normal Irrigation and Drought Stress Conditions

Roghayeh Aminian; Khalil karimzadeh Asl; Farhad Habibzadeh; Abolfazl Baghbani Arani

Volume 42, Issue 2 , June 2019, , Pages 211-226

https://doi.org/10.22055/ppd.2019.23810.1527

Abstract

Abstract Background and ObjectivesDrought stress is one of the most substantial environmental stresses affecting agricultural productivity around the world and may result in considerable ... Read More Abstract Background and ObjectivesDrought stress is one of the most substantial environmental stresses affecting agricultural productivity around the world and may result in considerable yield reduction. The human population is expected to increase to over 8 billion by the year 2020. Therefore, providing adequate food and preventing crop yield reduction is essential. Plant breeding can solve this problem to some extent. Evaluating yield components and their inter-relationships as well as detecting suitable selection indices are very important in the safflower breeding program. The multivariate statistical analysis can provide more insights into the deep structure of data and traits’ relationships Materials and MethodsIn order to study the relationships between yield components of eight genotypes of safflowerunder normal irrigationand drought stress conditions and determine the high yield genotypes, a split-plot experiment was conducted in a randomized complete block design with three replications in the research field of Imam Khomeini International University, Qazvin. Irrigation regime included normal irrigation(irrigation after 60 mm evaporation from class A pan evaporation) and drought stress (watering until 50% flowering similar to normal irrigationand 50% flowering to maturity and irrigation after 100 mm evaporation from class A pan evaporation) were considered as main plots. Eight genotypes, including Kuseh Local, Sina, Isfahan Local, Mexican 88, Faraman, Soffeh, Goldasht, and Mexican 11 were used too. ResultsThe analysis of the variance showed that the irrigation effect was significant for traits 1000 grain weight, flower weight, harvest index, and grain yield. There were significant differences among the genotypes for most of the measured traits, except boll diameter, boll number per plant, relative water content, and relative water loss. Plant height, shoot number, boll number, stem diameter, chlorophyll value, flower weight, biological yield, and harvest index positively correlated with the grain yield in both normal irrigation and drought stress conditions. Based on the results of stepwise regression and path analysis, biological yield and harvest index in both normal irrigation and drought stress conditions had the greatest effect on grain yield. Due to the high correlation between yield and harvest index and biological yield under stress conditions, the selection of varieties with high harvest index and biological yield can be very effective in achieving maximum yield under stress conditions. Factor analysis revealed that 4 factors accounted for approximately 82% variance changes in both normal irrigation and drought stress conditions. These factors were called yield, seed, boll size, and leaf water, respectively under normal irrigation, andplant vigor, yield, seed, boll size, and leaf water, respectively under drought stress conditions. Based on the seed yield factor and the biplot display, Faraman, Mahali Isfahan, Sina, and Mahali Kuseh were determined as high yield genotypes both in normal and drought stress conditions. DiscussionGrain yield is a quantitative trait with a low broad sense heritability. Therefore, identifying the traits correlated with grain yield is a suitable strategy for the improvement and the indirect selection of grain yield. Stepwise regression and path analysis are efficient and useful statistical approaches for reaching the above aim. According to the results, the traits of the harvest index and biomass were recognized as the best suitable traits for indirect grain yield selection under normal and drought stress conditions.

Sequential Path Analysis Based on Yield and Morpho-Physiological Characteristics in Squash Landraces from Northwest of Iran

Davoud Mardanzadeh; Reza Darvishzadeh; Bahman Zahedi

Volume 42, Issue 1 , April 2019, , Pages 115-132

https://doi.org/10.22055/ppd.2019.15317.1244

Abstract

Abstract Background and Objectives Squash is an annual herbaceous plant and grows in tropical and subtropical regions of Europe and America. Edible species are divided into three ... Read More Abstract Background and Objectives Squash is an annual herbaceous plant and grows in tropical and subtropical regions of Europe and America. Edible species are divided into three groups of zucchini or courgette, gourd and pumpkin squash. The seed of pumpkin squash has high nutritional value due to its high protein and oil content. Iran is ranked fourth in terms of production and cultivation area of squash in the world after China, India and Russia. The present study was conducted in order to determine the most important morphological and physiological characteristics influencing yield in squash landraces from Northwest of Iran. Materials and Methods Eighteen squash landraces comprising 11 confectionery landraces, 5 gourd landraces and 2 ornamental landraces were evaluated in a randomized complete block design with three replications in Saatlou research station of West Azerbaijan. The landraces were evaluated for morphological and physiological characteristics based on International Board for Plant Genetic Resources (IBPGR)) descriptor. Results The results of phenotypic correlations revealed that the characteristics including number of fruit, fruit weight, 100 seed weight, fruit diameter, seed thickness, plant height, internodes length, primary branch and fruit pH and characteristics including seed weight, peduncle lengths, sepal’s length of female flower and fruit total soluble solids have positive and significant correlations with fruit yield at 1 and 5 percent probability level, respectively. In stepwise regression, four features including internodes length, sepal’s length of female flower, chlorophyll percentage and fruit pH were entered in model. The results showed that fruit pH and internodes length have the most direct and positive effect on the fruit yield, and the percentage of chlorophyll has the highest indirect effect through internodes length on the fruit yield. Discussion Sequential path analysis showed that selection of genotypes based on only correlation coefficient may not be effective. Several characteristics were identified to explain squash yield during path analysis. Selection based on identified characters would be more effective in improving yield in squash breeding programs.

Path Analysis to Study Morph-Physiological Traits, Yield and Traits Related to Yield of Lentil Genotypes under Rain fed Condition

Fatemeh Zahedi; D N; Mohtasham Mohammadi; Rahmat allah karimizadeh

Volume 39, Issue 2 , September 2016, , Pages 71-80

https://doi.org/10.22055/ppd.2016.12056

Abstract

Background and Objectives Statistical parameters can be used in plant research to elucidate the differences in growth behavior among traits in a plant population. Materials and Methods ... Read More

Detection and Selection of Effective Traits on Grain Yield in Chickpea (Cicer arientinum L.) Under Normal Moisture Condition

S.S. Moosavi; M.R. Abdollahi; F. Ghanbari; H. Kanouni

Volume 39, Issue 1 , June 2016, , Pages 119-131

https://doi.org/10.22055/ppd.2016.12046

Abstract

Background and Objectives Inequality of increasing population and food will be worse as soon as possible, because the human population is expected to increase to over 8 billion ... Read More Background and Objectives Inequality of increasing population and food will be worse as soon as possible, because the human population is expected to increase to over 8 billion by the year 2020 (Ashraf and Harris, 2006). Therefore, plant breeding is a permanent and economic method to solving the problem. Detection of effective traits on grain yield is an efficient approach to increase crop production. Among agronomy crops, chickpea plays vary important role in human life. KHalighi et al. (2011) showed that grain yield had a significant correlation with pod number per plant, seed number per plant, harvest index and biomass. In another research (Fayyaz and Talebi, 2009), the traits of number of pod and number of seed per plant were proposed as the most important traits for yield increasing in chickpea. Yucel et al. (2006) suggested that seed number per plant and pod number per plant have maximum direct effect on grain yield. Stepwise regression showed that the traits of biomass, harvest index and 100-kernel weight had great effect on chickpea grain yield, so the traits explained the main part of yield variance (Mardi et al, 2003). Detection and identifying the most effective traits on chickpea grain yield was the main objective of the current research. Materials and methods The experiment was conducted based on randomized complete block design with three replications on 18 chickpea promising lines and two cultivars (as control) under normal moisture condition in 2011-2012. The experiment was conducted in agricultural and natural resources research center of Kurdestan, Iran. The traits of day to 50 percent flowering, day to 50 percent podding, day to maturity, relative water content, number of sub-branches, number of main branches, seed number per plant, pod number per plant, plant height, 100- kernel weight, grain yield, harvest index and biomass were measured. Correlation analysis, stepwise regression analysis, and path analysis were used for identifying the best genotypes and traits in the current experiment. Phenotypic coefficient variation, genotypic coefficient variation and broad sense heritability were estimated for all traits. Results The results showed that the traits of number of sub-branch per plant, number of pod per plant, number of main-branch per plant, seed number per plant, harvest index and biomass had the maximum, positive and significant correlation with grain yield, while the trait of day to 50% flowering had the maximum, negative and significant correlation with grain yield. Stepwise regression results indicated that the traits of number of sub-branch, biomass, harvest index and day to 50% flowering (with negative beta) were the most important effective traits on the mean of grain yield and explained 97.98% of yield variance. Path analysis results confirmed the obtained results. The path analysis results showed that the traits of number of sun-branch and biomass had the maximum positive direct effect on grain yield. 100-kerenl weight and plant height had the highest and lowest heritability respectively. The maximum genotypic coefficient of variance belongs to 100-kernel weight, number of sub and main branches respectively. Meanwhile, the trait of harvest index and biomass (by increasing the number of sub-branch) had the maximum indirect positive effect on yield. As a result, increasing the sub-branch number and decreasing of day to 50% flowering may be proposed as a useful strategy for yield increase under the current experiment condition. Discussion Grain yield is a quantitative trait with low broad sense heritability. Therefore, identifying the traits correlated with grain yield is a suitable strategy for improvement and indirect selection of grain yield. Stepwise regression and path analysis are an efficient and useful statistical approach for reaching were the above aim. According to results, the traits of number of sun-branch, number of main-branch and biomass recognized as the best suitable traits for indirect grain yield selection under normal moisture stress condition.

Biplot Trait Analysis of Some of Canola (Brassica napus L.) Genotypes in Irrigation and Drought Stress Conditions

F M; H D; B A

Volume 35, Issue 3 , December 2012, , Pages 1-16

Abstract

Canola is an important industrial plant in oil production, and in recent years, it has drawn a lot of alteration due to its adaptation to the arid regions. To determine the relationship ... Read More

Crop Loss Assessment and Canola (Brassica napus L.) Impact Factor Analysis in late Planting

A R

Volume 35, Issue 3 , December 2012, , Pages 17-25

Abstract

Factors such as unprepared seed bed and agronomical elements or local common rotation are usually the cause of conola late planting. This experiment was counducted as randomized complete ... Read More

Important Morphological Traits on Canola Yield as Second Cultivation in Guilan

M R; B R; M R

Volume 35, Issue 2 , September 2012, , Pages 85-98

Abstract

To determine the correlated traits to grain yield in rapeseed, eight rapeseed cultivars were planted using randomized complete block design with three replications in Rice Research ... Read More

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Keywords = Path analysis

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

Abstract

The Multivariate Statistical Methods to Study the Relationships among Safflower Traits under Normal Irrigation and Drought Stress Conditions

Abstract

Sequential Path Analysis Based on Yield and Morpho-Physiological Characteristics in Squash Landraces from Northwest of Iran

Abstract

Path Analysis to Study Morph-Physiological Traits, Yield and Traits Related to Yield of Lentil Genotypes under Rain fed Condition

Abstract

Detection and Selection of Effective Traits on Grain Yield in Chickpea (Cicer arientinum L.) Under Normal Moisture Condition

Abstract

Biplot Trait Analysis of Some of Canola (Brassica napus L.) Genotypes in Irrigation and Drought Stress Conditions

Abstract

Crop Loss Assessment and Canola (Brassica napus L.) Impact Factor Analysis in late Planting

Abstract

Important Morphological Traits on Canola Yield as Second Cultivation in Guilan

Abstract