Plant Productions

Evaluation of quantitative and qualitative traits of peach cultivars under climatic conditions of Kermanshah province

Isa Arji; Mohammad Gerdakaneh; Ali Imani; Rahmatollah Gholami

Volume 47, Issue 4 , January 2025, , Pages 631-646

https://doi.org/10.22055/ppd.2024.47668.2192

Abstract

Introduction Peach is among the most important fruit trees cultivated in Iran since ancient times. Thus, evaluating adaptability and identifying optimal peach varieties is crucial ... Read More Introduction Peach is among the most important fruit trees cultivated in Iran since ancient times. Thus, evaluating adaptability and identifying optimal peach varieties is crucial for its cultivation expansion. The ability of a peach cultivar (a specific cultivated variety of peach) to adapt to a new environment depends on several factors, including climate, soil as well as disease and pest resistance. Understanding these factors is crucial for the successful introduction of peach cultivars to new areas. Researchers and growers are constantly working to develop new cultivars, evaluate existing cultivars and refine agricultural practices. By considering cultivar adaptability and implementing appropriate strategies, growers can expand peach cultivation into new regions, increasing fruit production and diversifying the agricultural landscape. Materials and Methods The present study was conducted with 15 peach varieties to evaluate their adaptability for a period of three years starting from 2016 at Urban Orchard Research Station in Kermanshah Province. The trees were planted Within a randomized complete block design (RCBD) with three replications Spaced 4*4 m apart in March 2014 Four trees were planted in each experimental unit, and a total of 12 trees were evaluated for each variety. To evaluate the pomological and yield characteristics of the cultivars, various fruit traits were measured over a three-year period from 2016 to 2018. These traits included fruit and stone weight, fruit and stone dimensions, stone-to-flesh adhesion, skin and flesh color, percent soluble solids, pH, fruit acidity, tree yield, yield efficiency, ripening time, and ripening duration. At the onset of fruit color change, the total number of fruits on each tree was recorded. Upon ripening, all fruits of each cultivar were harvested and weighed. A 30-fruit sample was then selected to determine weight, flesh content, stone weight, and fruit quality parameters, including soluble solids, pH, and titratable acidity. To assess quality traits, juice was first prepared from five ripe fruits. Soluble solids were measured using a handheld refractometer model [refractometer model]. pH was measured using a pH meter model [pH meter model]. Titratable acidity was determined by titration with 0.1 N NaOH solution in the presence of phenolphthalein indicator until a color change to purple was observed. The amount of NaOH consumed indicated the malic acid content per 100 g of fruit, which is the predominant acid in peach and nectarine fruits. The collected data were analyzed using the MSTATC software, and mean comparisons were performed using Duncan's multiple range test. Results and Discussion The results revealed significant differences between the varieties under study in terms of various fruit characteristics, including the number of fruits per tree, fruit weight, fruit and stone dimensions, fruit yield per tree and hectare, and fruit quality characteristics such as soluble solids, pH, and titratable acidity. The average yield over three years indicated that the fruit yield per hectare varied among the varieties from about 5.5 tons per hectare to about 38 tons per hectare. The 'Suncrest' variety enjoyed the highest yield with over 35 tons per hectare. Other varieties such as 'Federica', 'Babygold 6', and 'Babygold 7' were also superior with over 25 tons of fruit per hectare. Based on their good yield, fruit weight, and fruit quality, the varieties 'Suncrest', 'Federica', 'DixiRed', 'Domiziana', 'J.H. Hale', 'Amipsimidia', 'Alberta', 'Spring Crest', and 'Anjiry' were found to be suitable for fresh consumption. For industrial purposes, the varieties 'Babygold 7', 'Babygold 6', and 'Sudanl' were found to be appropriate due to their fruit quality and very high yield. As the results indicate, the yield rate increased as the peach trees aged. Moreover, the yield was recorded to be very high in some cultivars at the age of five, yet lower in some cultivars due to genetic differences or in response to the observed environmental conditions. Conclusion This study provides valuable insights into the selection of suitable peach varieties for cultivation in Iran, considering both fresh market and industrial process applications. The findings can guide farmers and policymakers in optimizing peach production and enhancing the competitiveness of the Iranian fruit industry.

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.

An Investigation into Different Olive Cultivars Responses to Sarpole Zehab Environmental Condition

I. Arji; A.A. Zeinanloo; A. Hajiamiri; M. Najafi

Volume 35, Issue 4 , March 2013, , Pages 17-27

Abstract

This experiment was conducted to evaluate the adaptation ability of 14 olive cultivars in Dallaho olive research station under a completely randomized block design during 1383 till ... Read More

The study of adaptability of salt tolerant advanced barley (Hordeum vulgare) genotypes grown in moderate regions

M M; A Y; H.R N; Z R; A J

Volume 33, Issue 2 , March 2011, , Pages 31-39

Abstract

This study was to evaluate the adaptability of ten salt tolerant advanced barley in six regions (Esfahan, Kerman, Yazd, Ghom, Mashhad and Gonabad) in 2002-03. Statistical design was ... Read More

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Keywords = Adaptability

Evaluation of quantitative and qualitative traits of peach cultivars under climatic conditions of Kermanshah province

Abstract

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

Abstract

An Investigation into Different Olive Cultivars Responses to Sarpole Zehab Environmental Condition

Abstract

The study of adaptability of salt tolerant advanced barley (Hordeum vulgare) genotypes grown in moderate regions

Abstract