Stability and adaptability of cotton (Gossypium hirsutum L.) genotypes based on AMMI analysis

Abstract

Evaluation of the stability and adaptability of genotypes across different environment conditions is important for release and recommendation of new varieties to ensure their high adaptability. Plant breeders evaluate germplasms in multi-environment trials to study the stability and adaptability of genotypes (G) and to recommend the genotypes to different environments (E). Multienvironment trials for 11 genotypes including 4 check varieties of cotton were carried out during 3 seasons in 3 locations in Mozambique. The objective of this study was to assess the G x E pattern and to evaluate the stability and adaptability of seed cotton yield of a new germplasm in Mozambique. The experiment was set up in Namialo (district of Meconta province of Nampula), Namara (district of Balama, province of Cabo Delgado) and Nhamatanda (district of Nhamatanda province of Sofala). The treatments consisted of 11 varieties, which were established in a randomized complete block design with four replications. The graphic analysis of additive main effect and multiplicative interaction (AMMI) were used to understand the G x E interaction pattern and to study the stability and adaptability. The results showed significant effect of genotype, environment and G x E interaction. The first two principal components explained about 80% of the detected interaction. The pair of Environment/Genotype showed the E/G combination for high performance. The genotypes and environments showed genetic and environmental performance dissimilarity. The AMMI revealed that genotypes FK 37, BA 919 and Flash were the most adaptable, while BA 2018 and BA 320 were the most stable across the variation of environments. Keywords: AMMI, Biplot, GGE, genotype x environment interaction, seed cotton yield. Abbreviations:AMMI_Additive main effect and multiplicative interaction; GE_Genotype by Environment interaction; GGE_ Genotype main effect plus genotype by environment interaction; GOT_Ginning out-turn; PCA_Principal component analysis.

Assessment of Stability for Seed Cotton Yield of Cotton Genotypes Across Different Environmental Conditions of Sindh Province

“…Assessment the constancy and flexibility of genotypes transversely diverse atmosphere situation is essential for initiate and advice of latest crop variety which assurance their elevated flexibility. Plant breeders assess germplasm at various locations in different trials to find out the adaptability of genotypes and to propose the cultivars to dissimilar locations (Maleia et al, 2017).…”

Estimating of Stability Parameters among some Extra Long Staple Cotton Genotypes under Different Environments

“…The results obtained from AMMI analysis illustrated dissimilarity between genotypes and environments, once they were positioned in opposing quadrants and the most stable genotypes across the different environments were not the most adaptable (Maleia et al, 2017). Finally these genotypes should be evaluated in multiple locations for multiple years to fully sample the target environment.…”

Stability analysis of the new cotton lines

“…Recently, as method of evaluating the stability, many researchers used the PCI analysis (the Principle Component Analysis, includes an analysis of the variance main components), the AMMI method (Additive Main effects and Multiplicative Interactions) and the GGЕ biplot analysis (Genotype main effect and Genotype × Environment interaction). The AMMI method and the GGE bi-plot model were often used to analyze experimental data from different ecological experiments and compare the results (Farias et al, 2016;Maleia et al, 2017;Moiana et al, 2014;Orawu et al, 2017;Pretorius et al, 2015;Riaz et al, 2019). The biplot analysis was used to examine the genotype (G) and the genotype × environment interaction (GE) (Farias et al, 2016;Fathi Sadabadi et al, 2018;Yan and Kang, 2003) and to test environments and megaenvironments (Xu et al, 2014).…”