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

Author

Listed:
  • Ajmalud Din

    (Department of Plant Breeding and Genetics, The University of Agriculture, Peshawar 25130, Pakistan
    Department of Agronomy, University of Florida, Gainesville, FL 32611, USA)

  • 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
    Department of Biotechnology-Plant Biology, Technical University of Madrid, 28040 Madrid, Spain)

  • 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)

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.

Suggested Citation

  • Ajmalud Din & Rozina Gul & Hamayoon Khan & Julian Garcia-Abadillo Velasco & Reyna Persa & Julio Isidro y Sánchez & Diego Jarquin, 2024. "Assessing the Genotype-by-Environment G×E Interaction in Desi Chickpea via the Bayesian Additive Main Effects and Multiplicative Interaction Model," Agriculture, MDPI, vol. 14(2), pages 1-11, January.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:2:p:215-:d:1328428
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    References listed on IDEAS

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    1. Hosseini, N.M. & Palta, J.A. & Berger, J.D. & Siddique, K.H.M., 2009. "Sowing soil water content effects on chickpea (Cicer arietinum L.): Seedling emergence and early growth interaction with genotype and seed size," Agricultural Water Management, Elsevier, vol. 96(12), pages 1732-1736, December.
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