Application of Additive Main Effects and Multiplicative Interaction and Biplot Graphical Analysis Multivariate Methods to Study of Genotype-Environment Interaction on Safflower Genotypes Grain Yield

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Omrani saeed; Omrani Ali; Afshari Mahvash; Saremi rad Ali; Bardehji Siavash; FOROOZESH PEYMAN

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Journal: JOURNAL OF CROP BREEDING Year:2019 | Volume:11 | Issue:31 Page(s): 153-163

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Title

Application of Additive Main Effects and Multiplicative Interaction and Biplot Graphical Analysis Multivariate Methods to Study of Genotype-Environment Interaction on Safflower Genotypes Grain Yield

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Keywords

AMMIQ2

GGE BiplotQ1

Mega-EnvironmentsQ1

Stability AnalysisQ2

SafflowerQ2

Abstract

To evaluate the effect of different environments on grain yield, genotypes of Safflower along with one control namely Kouse were studied in three locations (Tehran, Birjand and Isfahan) and three years (from to ), in each using a completely randomized block design with three replications. The results obtained from AMMI analysis demonstrated that the main effects of genotype, environment and genotype × environment interaction were highly significant. The first four principal components justified around of the sum of squares of the interactions, and explained, , and of variances, respectively. Drawing the biplot of the first principal component and the average yield for genotypes and environments suggested that genotypes including Kouse, E, PI-with higher than average yields and desired stability were selected. Biplot of the first two principal components showed that the interaction between genotypes Kouse, Hartman and PI-were identified as genotypes with good compatibility. Based on GGE Biplot method, two main components of the spatial regression models explained about of grain yield variability. Biplot of relevance between environments confirmed the existence of almost identical reaction between genotypes in both locations including Isfahan and Tehran, but genotypes in Birjand showed a different reaction than these two environments. Based on the polygonal figure, genotypes including A in Birjand and Hartman in Isfahan as well as Tehran had a higher degree of narrative compatibility and performance stability. Genotype of Hartman and Isfahan location were the most ideal genotype and environment compared to other genotypes and environments.

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APA: Copy

Omrani, saeed, Omrani, Ali, Afshari, Mahvash, Saremi rad, Ali, Bardehji, Siavash, & FOROOZESH, PEYMAN. (2019). Application of Additive Main Effects and Multiplicative Interaction and Biplot Graphical Analysis Multivariate Methods to Study of Genotype-Environment Interaction on Safflower Genotypes Grain Yield. JOURNAL OF CROP BREEDING, 11(31 ), 153-163. SID. https://sid.ir/paper/181106/en

Vancouver: Copy

Omrani saeed, Omrani Ali, Afshari Mahvash, Saremi rad Ali, Bardehji Siavash, FOROOZESH PEYMAN. Application of Additive Main Effects and Multiplicative Interaction and Biplot Graphical Analysis Multivariate Methods to Study of Genotype-Environment Interaction on Safflower Genotypes Grain Yield. JOURNAL OF CROP BREEDING[Internet]. 2019;11(31 ):153-163. Available from: https://sid.ir/paper/181106/en

IEEE: Copy

saeed Omrani, Ali Omrani, Mahvash Afshari, Ali Saremi rad, Siavash Bardehji, and PEYMAN FOROOZESH, “Application of Additive Main Effects and Multiplicative Interaction and Biplot Graphical Analysis Multivariate Methods to Study of Genotype-Environment Interaction on Safflower Genotypes Grain Yield,” JOURNAL OF CROP BREEDING, vol. 11, no. 31 , pp. 153–163, 2019, [Online]. Available: https://sid.ir/paper/181106/en

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