| Titles |
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English :
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EVALUATION OF REGRESSION MODELS AND VARIANCE MEASURES AS STABILITY PARAMETERS OF SOME SOYBEAN GENOTYPES
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Arabic :
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تقييم نماذج الانحدار و مقاييس التباين كمعالم لثبات بعض التراكيب الوراثية من فول الصويا
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| Abstract |
The presence of genotype × environment (G × E) interaction is a major concern to plant breeders, since large interaction can reduce gains from selection and complicate identification of superior genotypes. Fifteen soybean genotypes were grown in a randomized complete block design with three replications in five locations (Etay Elbarood, Gemmeiza, Sakha, Sids and Mallawy) through 2010 and 2011 summer seasons. The objectives were to assess the yield performance, determine the magnitude of (G × E) interaction and investigate the stability of the assessed genotypes using twelve stability statistics derived from two types of statistical approaches (regression and variance analyses) . Also, Spearman rank correlation coefficient, principal components analysis and biplot graph were applied to obtain good understanding of the interrelationship and overlapping among the used stability statistics. Results showed highly significant mean squares for genotypes, environments and (G × E) interaction indicating that the tested genotypes exhibited different responses to environmental conditions. Also, the terms of predictable (linear) and unpredictable (non - linear) interaction components were highly significant which confirm that the tested soybean genotypes differed considerably in their relative stability. The greatest seed yield was produced by Giza 111 followed by H2L12, H30, DR101, H117, Giza21, H32 and H15L5 genotypes that surpassed the grand mean over environments. It is evident that the genotype Giza 111, in addition to its high yield, was the most stable because it met the assumptions of stable genotype as described by the stability models of Eberhart & Russell (1966), Tai (1971), Francis and Kannenberg (1978), Kang and Magari (1995) and Sharaan and Ghallab (2001). Hence, the genotype Giza111 is recommended to be used in breeding programs of soybean. Results of rank correlation, principal components analysis and biplot graph showed that the used twelve stability statistics could be grouped in four distinct classes. The first class included the parameters of S2d, λ, W2, σ2 and S2 because to their perfect correlation. The parameters of RD, RDD, RHDD and CV% formed the elements of the second class while the third class contained both of b and α parameters. The highly significant positive association between both ΥS and mean seed yield showed as being the correlated elements of the fourth class.
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| Publication year |
2012
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| Pages |
141-152
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| Organization Name |
Central Laboratory for Design and Statistical Analysis Research (CLDSAR)
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| Author(s) from ARC |
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| External authors (outside ARC) |
اكرم رشاد مرسى
قسم بحوث المحاصيل البقولية- معهد بحوث المحاصيل الحقلية
عادل الجارحى محمد الجارحى
قسم بحوث المحاصيل البقولية- معهد بحوث المحاصيل الحقلية
عزام عبد الرازق محمد عشرى
قسم بحوث المحاصيل البقولية- معهد بحوث المحاصيل الحقلية
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| Publication Type |
Researsh & Applied Activities
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