| Titles |
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English :
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INTERPRETING GENOTYPE X ENVIRONMENT INTERACTION IN SOYBEAN YIELD TRIALS USING DIFFERENT BASES OF STABILITY METHODS
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Arabic :
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تفسير التفاعل بين التركيب الوراثى والبيئة لتجارب أصناف فول الصويا باستخدام أساليب مختلفة لطرق الثبات
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| Abstract |
Selection of wide adaptability and stable high yielding genotypes in diverse environments is an important objective for breeding programs. The current research aimed to analyze the genotype-by-environment (GxE) interaction for seed yield of sixteen soybean genotypes grown under six locations (Mallawy, Sids, Sakha, Etay El-barood, Gemmeiza and Nubaria) during 2014, 2015 and 2016 summer seasons representing eighteen environments in a randomized complete block design with four replications in each environment. Eight stability methods (following different statistical approaches) were used to identify the high yielding and stable genotypes. Results showed that the main effects of genotypes, environments, and their interaction items were highly significant (P < 0.01) indicating that the tested genotypes exhibited different responses to environmental conditions giving the justification for running stability analysis. Pooled analysis showed that 76.27 % of the total sum of squares was attributed to environment while the genotype and GxE interaction effects explained 15.55 % and 3.68 %, respectively. The seed yields of the tested genotypes ranged from 1.24 to 1.96 ton/feddan with a grand mean of 1.6 t/fed. Genotype H1L3 produced the highest seed yield (1.96 t/fed) followed by H10L288, H11L342, H10L250, H11L376, H11L384, H1L1 and Giza 111, respectively. The aforementioned genotypes were higher than the grand mean in seed yield. It is evident that H10 L288 (G3), H11 L376 (G6), H11 L384 (G10) and H1 L1 (G13), in addition to their high yields, they were the most stable genotypes because they met the assumptions of stable genotype as described by most stability parameters used. Hence, these four stable genotypes could be considered as good breeding materials stock for soybean improvement. One of the striking results in the present work is that the different aspects of stability methods could give similar conclusions when a large number of genotypes and environments is used as previously explained. In this case, the disadvantages of most stability models are avoided and the methods become more applicable and could be substitutes for each other.
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| Publication year |
2017
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| Organization Name |
Central Laboratory for Design and Statistical Analysis Research (CLDSAR)
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| serial title |
مجلة تربية النباتات المصرية
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| Author(s) from ARC |
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| Publication Type |
Journal
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