Código QR

Predicting enviromically adapted varieties with big data

Abstract Background Breeding programs prioritize the average performance of a genotype across environments and may overlook promising candidates for specific environments. To address this challenge, we propose a genomic prediction framework to select high-yielding genotypes tailored to individual en...

Descrición completa

Gardado en:
Principais autores: Abhishek Gogna, Bahareh Kamali, Valentin Wimmer, Renate H. Schmidt, Ehsan Eyshi Rezaei, Wera Maria Eckhoff, Jochen C. Reif, Yusheng Zhao
Formato: Artigo
Idioma:Inglês
Publicado: BMC 2026-01-01
Series:Genome Biology
Assuntos:
Winter wheat
Breeding programs
Genotype performance
Big data
Artificial intelligence
Machine learning
Acceso en liña:https://doi.org/10.1186/s13059-025-03914-x
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares