Identification of Bean Lines (Phaseolus vulgaris) with Low Genotype–Environment Interactions Under Rainfed in Two Semiarid Sites of North-Central Mexico

The seed yield of 28 bean (Phaseolus vulgaris) lines from different crosses and two check cultivars was evaluated under rainfed conditions in two sites in North-Central Mexico. The aim was to identify high-yielding lines with low genotype–environment interactions (GEIs). Trials were conducted under a 6 × 5 square lattice design with four replicates; due to the lack of rainfall in Zacatecas, the trial was helped with supplemental irrigation. Data were analyzed by location and combined to determine the effects of GEIs using the additive main effects and multiplicative interaction model (AMMI) model. The combined analysis showed that 75.45% of the yield variation among lines was due to the effect of the environment, 11.75% was due to genotypes, and 12.79% was due to GEIs. Lines 5 and 10 displayed the highest yield, which slightly surpassed the checks (2.1 and 0.11%, respectively) and showed greater stability than those in the test environments. The AMMI analysis allowed for the selection of stable and high-yielding lines under drought conditions. Data on the weight and yield per hectare of a hundred seeds between and within locations identified lines 5, 10, and 16 as outstanding and capable of being used as a parent in a future hybridization program or as a new cultivar with drought tolerance.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2025-05-09
DOI
https://doi.org/10.3390/agronomy15051160
Citations
3
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
5.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Bean Lines (Phaseolus vulgaris) with Low Genotype–Environment Interactions Under Rainfed in Two Semiarid Sites of North-Central Mexico

Rómulo Bañuelos-Valenzuela, Francisco Guadalupe Echavarría-Cháirez, Jorge Alberto Acosta-Gallegos, José Ángel Cid-Ríos et al.
3 citations
Agronomy
Plant pathogens and resistance mechanisms
5.25
article

Identification of Bean Lines (Phaseolus vulgaris) with Low Genotype–Environment Interactions Under Rainfed in Two Semiarid Sites of North-Central Mexico

Rómulo Bañuelos-Valenzuela, Francisco Guadalupe Echavarría-Cháirez, Jorge Alberto Acosta-Gallegos, José Ángel Cid-Ríos, Alejandro Antonio Prado-García
article en
3 citations

Abstract

The seed yield of 28 bean (Phaseolus vulgaris) lines from different crosses and two check cultivars was evaluated under rainfed conditions in two sites in North-Central Mexico. The aim was to identify high-yielding lines with low genotype–environment interactions (GEIs). Trials were conducted under a 6 × 5 square lattice design with four replicates; due to the lack of rainfall in Zacatecas, the trial was helped with supplemental irrigation. Data were analyzed by location and combined to determine the effects of GEIs using the additive main effects and multiplicative interaction model (AMMI) model. The combined analysis showed that 75.45% of the yield variation among lines was due to the effect of the environment, 11.75% was due to genotypes, and 12.79% was due to GEIs. Lines 5 and 10 displayed the highest yield, which slightly surpassed the checks (2.1 and 0.11%, respectively) and showed greater stability than those in the test environments. The AMMI analysis allowed for the selection of stable and high-yielding lines under drought conditions. Data on the weight and yield per hectare of a hundred seeds between and within locations identified lines 5, 10, and 16 as outstanding and capable of being used as a parent in a future hybridization program or as a new cultivar with drought tolerance.

AgronomyVol. 15(5)
Instituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias (MX), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Universidad Autónoma de Zacatecas, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias
Openalex Percentile: Top 6%
Plant pathogens and resistance mechanisms
5.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.