Assessing the Genotype-by-Environment G×E Interaction in Desi Chickpea via the Bayesian Additive Main Effects and Multiplicative Interaction Model

Ajmalud Din, Rozina Gul, Hamayoon Khan, Julian Garcia-Abadillo Velasco, Reyna Persa, Julio Isidro y Sánchez and Diego Jarquin ()
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Ajmalud Din: Department of Plant Breeding and Genetics, The University of Agriculture, Peshawar 25130, Pakistan
Rozina Gul: Department of Plant Breeding and Genetics, The University of Agriculture, Peshawar 25130, Pakistan
Hamayoon Khan: Department of Climate Change Sciences, The University of Agriculture, Peshawar 25130, Pakistan
Julian Garcia-Abadillo Velasco: Department of Agronomy, University of Florida, Gainesville, FL 32611, USA
Reyna Persa: Department of Agronomy, University of Florida, Gainesville, FL 32611, USA
Julio Isidro y Sánchez: Department of Biotechnology-Plant Biology, Technical University of Madrid, 28040 Madrid, Spain
Diego Jarquin: Department of Agronomy, University of Florida, Gainesville, FL 32611, USA

Agriculture, 2024, vol. 14, issue 2, 1-11

Abstract: Chickpea is the second most important legume crop in pulses, and its performance is greatly influenced by environmental factors inducing a change in the response patterns, complicating the selection of the best cultivar(s). The genotype-by-environment (G×E) patterns of a chickpea dataset (yield and days to emergence DTE) of 36 lines evaluated in 12 environments in Pakistan were assessed in this study. The interaction patterns were evaluated using the Bayesian Additive Main Effects and Multiplicative Interaction (AMMI) model. For yield, the 95% highest posterior density (HPD) regions showed that none of the genotypes (G) were found to be stable since these did not include the null point (0, 0), while for the environments, only E-8 and E-10 included the origin. In contrast, for DTE 11, genotypes included the null point being considered stable for this trait; however, none of the environments included the origin. These results suggest that considering both traits, the genotypes G2, G6, and G17 are the best genotypes across environments, while environments E-8 and E-10 were identified as favorable to all genotypes. Based on the obtained results, the abovementioned genotypes can be forwarded for further processing to be released as commercial varieties.

Keywords: Bayesian AMMI model; chickpea breeding; genotype-by-environment (G×E); interaction patterns; stability (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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