000171229 001__ 171229
000171229 005__ 20260515163946.0
000171229 0247_ $$2doi$$a10.1093/hr/uhag035
000171229 0248_ $$2sideral$$a149325
000171229 037__ $$aART-2026-149325
000171229 041__ $$aeng
000171229 100__ $$aZhu, Mingjia
000171229 245__ $$aMMGS: a novel genomic prediction framework to integrate genotype, environment and their interactions for multi-environment breeding trials
000171229 260__ $$c2026
000171229 5060_ $$aAccess copy available to the general public$$fUnrestricted
000171229 5203_ $$aAccurately predicting the performance of trees and crops across diverse and changing climates is essential for matching genotypes to both current and future environments. Yet modelling the complex interplay among genotype, environment, and phenotype in multi-environment trials remains a major challenge. Here, we introduce a unified framework, polygenic environmental interaction (PEI), directly models genotype-by-environment interactions through integrating genotypes and environmental covariates. We implemented an ensemble of 15 estimators spanning parametric, non-parametric, and machine-learning approaches. We then benchmarked our framework against the classical reaction norm (RN) using three genetically distinct populations and three traits with variable genetic architectures. Furthermore, we released an open-source R package, Multiple-environments genomic selection (MMGS), on GitHub. Together, our study offers a flexible and computationally efficient approach for multi-environment genomic prediction, enhancing breeding efficiency, providing deeper insights into modelling the genotype-environment-phenotype continuum.
000171229 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000171229 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000171229 700__ $$aZheng, Zeyu
000171229 700__ $$aLiu, Wei
000171229 700__ $$aHan, Yu
000171229 700__ $$aMu, Wenjie$$uUniversidad de Zaragoza
000171229 700__ $$aYin, Tongming
000171229 700__ $$aDai, Xiaogang
000171229 700__ $$aWu, Huaitong
000171229 700__ $$aYang, Yongzhi
000171229 700__ $$aZan, Yanjun
000171229 700__ $$aLiu, Jianquan
000171229 7102_ $$15011$$2063$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Botánica
000171229 773__ $$g13, 5 (2026), [7 pp.]$$pHortic. res.$$tHORTICULTURE RESEARCH$$x2662-6810
000171229 8564_ $$s6822228$$uhttps://zaguan.unizar.es/record/171229/files/texto_completo.pdf$$yVersión publicada
000171229 8564_ $$s2899287$$uhttps://zaguan.unizar.es/record/171229/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000171229 909CO $$ooai:zaguan.unizar.es:171229$$particulos$$pdriver
000171229 951__ $$a2026-05-15-14:55:31
000171229 980__ $$aARTICLE