GENOTYPE - ENVIRONMENT INTERACTION FOR YIELD IN LUPIN (Lupinus albus L)
Abstract: The present investigation was performed to analyze the genotype-by-environment (GE) interaction for seed yield of twelve genotypes grown in four locations (Giza, Gemmiza, Mallwy and New valley) during 2013 and 2014 seasons in a randomized complete block design with three replications in each environment. Combined analysis of variance showed highly significant differences for the GE interaction indicating the possibility of selection for stable genotypes. The stability of the assessed genotypes using some stability statistics derived from three types of statistical concepts (variance and regression analyses), AMMI (additive main effect and multiplicative interaction) analysis and GGE biplot (genotype main effects and genotype-by-environment interaction effects) models were applied to obtain good understanding of the interrelationship and overlapping among the used stability statistics. Results showed that Dijon2 (G2), Giza1 (G1), Family 9 (G10) and Mutant 35/2 (G4) scored the greatest seed yield (6.33, 5.59, 5.29 and 5.29 ard fed-1), respectively, over environments. Family 9 (G10) and Giza1 (G1) were the most stable lupin genotypes because they met the assumptions of stable genotype as described by the three types of stability parameters (coefficient of variability, Wricke’s ecovalence and regression coefficient) coupled with high yield. The results of AMMI analysis indicated that the first two IPCA's were highly significant. The partitioning of total sum of squares exhibited that the environment effect was a predominant source of variation (66.66%) followed by GE interaction (22.13%) and genotype effect (11.21%). The GE interaction was ~2 times higher than that of the genotype effect, suggesting the possible existence of different environment groups. AMMI stability value (ASV) discriminated genotypes Giza1 (G1), Dijon2 (G2), Family 9 (G10) and Sohag2 (G11) as the stable accessions, respectively. Based on the YSI (yield stability index) and new rank-sum the most stable genotypes with high yield were the last same genotypes. The GGE biplot analysis result also supported those obtained using AMMI, as well as E5 (Giza) was ideal environment followed by E4 (New valley). The results of this investigation proved that the studied parameters are suitable stability indices for discriminating stable genotypes with high yield. Finally, the performance of coefficient of variability, Wricke’s ecovalence, regression coefficient, and deviations from regression as well as AMMI analysis and GGE biplot, showed that genotypes Giza1 (G1 and Family 9 (G10) were found to be stable and are adaptable to both tested environments, thus they should be recommended for releasing with wider environmental adaptability.
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Publication year 2015
Pages 239-256
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Author(s) from ARC
Publication Type Conference/Workshop
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