Genotype by environment interaction on yield stability of desi type chickpea (Cicer arietinum L.) at major chickpea producing areas of Ethiopia

Abstract

Th is study was conducted to determine the interaction between chickpea genotypes with the environment (GxE) on the yield stability and adaptability of desi type chickpea genotypes (Cicer arietinum L.). Seventeen chickpea genotypes were evaluated for two cropping years (2012/2013 -2013/2014) at four locations i.e., eight environments (locations x years combination). Chickpea grain yield was significantly (p<0.01) affected by genotypes, the environments and GxE interaction, indicating that the varieties and the test environments were diverse. GxE was further partitioned by principal component axes. The first two principal components cumulatively explained 53.1% of the total variation, of which 32.7% and 20.4% were contributed by IPCA1 and IPCA2, respectively. This implies that the interaction of 17 chickpea genotypes with eight environments was predicted by the first two principal components. AMMI1 biplot analysis showed five adaptive categories of genotypes based on similarities in their performance across environments. The AMMI2 biplot generated using genotypes and environmental scores for the first two IPCAs revealed positioning of the five genotype groups (GC) into four sectors of the biplot. Among them, two genotypes in GC 5 (G5 and G11) exhibited high yields across environments, low IPCA1 scores, low AMMI stability value (ASV) and yield stability index (YSI). G5 was released as a new variety, 'Dimtu' and registered in the Official Varieties Catalogue of Ethiopia, 2016.

Deciphering Genotype-by- Environment Interaction for Targeting Test Environments and Rust Resistant Genotypes in Field Pea (Pisum sativum L.)

“…Testing locations with discrete agro-ecologies generated a differential response of the field pea genotypes and changed genotype ranking. Previous reports affirmed the role of environment and GEI, mystifying selection of stable genotypes with durable resistance against various pathogens (Pande et al, 2013; Alam et al, 2014; Sharma et al, 2015, 2016, Funga et al, 2017; Parihar et al, 2017a, 2017b, 2018).…”

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

“…However, it is crucial to know how environments affect genotypes and, on this basis, to identify environment(s) unsurpassed for genotypes. Many studies have been carried out worldwide to evaluate genotype–environment interactions, e.g., Dehghani et al (2010) , Funga et al (2017) , Mohammadi et al (2017) , and Kaloki et al (2019) . In Pakistan.…”

Genotype x Environment interaction, stability, and adaptability in progenies of Eucalyptus urophylla S.T. BLAKE using the AMMI model

“…In order to study GxE interactions, it is necessary to establish multi-environment experimental networks (Mustapha et al, 2014). The assessment of interaction in multiple environments can result in the adoption of two different selection strategies: i) stratification of heterogeneous areas in smaller and homogeneous sub-regions for selection; or ii) selection of stable genotypes based on performance in a variety of environments (Adebola et al, 2013;Funga et al, 2017). In order to estimate the GxE interaction, several statistical techniques have been used, including univariate, multivariate, mixed and nonparametric methods (Akbarpour et al, 2014).…”

“…When the points occupy the same quadrant in the graph the genotype and environment interact positively and when they are located on opposite quadrants, they interact negatively. Specific adaptation can be identified when the genotype shows positive interaction and high productivity in one environment (Funga et al, 2017). The AMMI model has been widely used for crop species (Akter et al, 2014), although less so for forest species (Chambel et al, 2005;Li et al, 2017).…”