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Modeling Genotype × Environment Interaction Using a Factor Analytic Model of On‐Farm Wheat Trials in the Yaqui Valley of Mexico
Author(s) -
Hernández Mateo Vargas,
OrtizMonasterio Iván,
PérezRodríguez Paulino,
MontesinosLópez Osval A.,
MontesinosLópez Abelardo,
Burgueño Juan,
Crossa José
Publication year - 2019
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2018.06.0361
Subject(s) - interaction , irrigation , gene–environment interaction , agriculture , agronomy , main effect , cropping , mathematics , biology , genotype , statistics , ecology , biochemistry , gene
On‐farm trials of bread and durum wheat in the Yaqui Valley region of southern Sonora, Mexico, were established for three cropping seasons (2012, 2013, and 2015) using the management practices implemented by farmers. The trials comprised bread and durum wheats that were sown together under two regimes: full irrigation and reduced irrigation. The experiments were replicated and unbalanced, as several bread wheat and durum wheat lines were not repeated during the 3 yr. We studied the interaction between bread and durum wheats and environments (farmer‐irrigation‐year combinations). To model the crossover interaction (COI) and the non‐COI components of the genotype × environment interaction (G×E) between the wheat lines and the environments, we used a linear mixed model with the Factor Analytic (FA) model, a parsimonious model that is similar to the multiple regression of lines on environments based on latent variables. In this case, we modeled the combined effects of the wheat lines and their interactions with the farmer‐irrigation‐year combinations. Results show the separation of the dynamic (unpredictable) component of the interaction (year) from the more static component of the interaction due to farmer and irrigation level. The FA model offers a useful alternative for modeling interactions in agronomy‐breeding experiments to dissect and account for complex interactions that are common in agriculture experiments. Furthermore, stable wheat lines across all environments were also detected, as well the environments that caused most of the interaction. Core Ideas In agriculture is important to study genotype × environment interaction (G×E) interaction and especially the interaction between bread and durum wheats and farmer–irrigation–year environmental combinations. The linear mixed model with the Factor Analytic (FA) is efficient for dissenting the main factors affecting G×E.