Genotype × Environment Interaction and Yield Stability of “Pinto” Bean ( Phaseolus vulgaris L.) Lines in a Semi-arid Region of Mexico

Odilón Gayosso Barragán, Jorge Alberto Acosta Gallegos (), Juan Samuel Guadalupe Jesús Alcalá Rico, Yanet Jiménez Hernández, Griselda Chávez Aguilar (), Ismael Fernando Chávez Díaz and Ulises Aranda Lara
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Odilón Gayosso Barragán: Centro Nacional de Investigación Disciplinaria en Agricultura Familiar, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Ojuelos de Jalisco 47540, Jalisco, Mexico
Jorge Alberto Acosta Gallegos: Campo Experimental Bajío, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, San Miguel de Allende 38110, Guanajuato, Mexico
Juan Samuel Guadalupe Jesús Alcalá Rico: Campo Experimental Las Huastecas, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Altamira 89610, Tamaulipas, Mexico
Yanet Jiménez Hernández: Campo Experimental Bajío, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, San Miguel de Allende 38110, Guanajuato, Mexico
Griselda Chávez Aguilar: Centro Nacional de Investigación Disciplinaria en Agricultura Familiar, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Ojuelos de Jalisco 47540, Jalisco, Mexico
Ismael Fernando Chávez Díaz: Centro Nacional de Recursos Genéticos, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Tepatitlán de Morelos 47600, Jalisco, Mexico
Ulises Aranda Lara: Campo Experimental Bajío, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, San Miguel de Allende 38110, Guanajuato, Mexico

Agriculture, 2025, vol. 15, issue 20, 1-18

Abstract: The present study aimed to determine the Genotype × Environment interaction (GEI), yield stability, and agronomic performance of 24 “Pinto” bean lines under semi-arid conditions in Central-West Mexico. All the lines possess a slow-darkening seed coat, a trait that prolongs visual quality and increases market value. The lines, which exhibit an indeterminate prostrate growth habit, were evaluated in three contrasting environments: irrigated, rainfed, and drought-stressed. A combined analysis of variance, Tukey’s test, and the additive main effects and multiplicative interaction (AMMI 2) model were applied to assess seed yield and agronomic traits. Average seed yield declined markedly across environments, from 2279 kg ha −1 under irrigation to 593 kg ha −1 under drought stress, with different lines performing best in each environment. AMMI 2 biplot analysis showed that the first two principal components explained 100% of GEI variability for seed yield, dry shoot biomass, total biomass, harvest index, pods per plant, and seeds per pod. Both genetic and environmental effects were significant, with notable GEI patterns. Despite pronounced environmental influence, several lines exhibited stable performance across environments. Line 11 consistently combined high yield and stability, positioning it as a strong candidate for cultivar registration and as a parent in breeding programs targeting semiarid regions. These results underscore the importance of multi-environment evaluation for identifying genotypes with broad or specific adaptation, contributing to genetic improvement and sustainable bean production under variable moisture regimes.

Keywords: AMMI model; environmental variability; phenotypic stability; rainfed bean production (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: 2025
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