Cargando…
A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars
The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments. An association panel including 87 bread wheat cultivars and 199...
Autores principales: | Shabannejad, Morteza, Bihamta, Mohammad-Reza, Majidi-Hervan, Eslam, Alipour, Hadi, Ebrahimi, Asa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935232/ https://www.ncbi.nlm.nih.gov/pubmed/33667255 http://dx.doi.org/10.1371/journal.pone.0247824 |
Ejemplares similares
-
A simple, cost-effective high-throughput image analysis pipeline improves genomic prediction accuracy for days to maturity in wheat
por: Shabannejad, Morteza, et al.
Publicado: (2020) -
Genotyping-by-Sequencing (GBS) Revealed Molecular Genetic Diversity of Iranian Wheat Landraces and Cultivars
por: Alipour, Hadi, et al.
Publicado: (2017) -
Genome-wide association mapping for wheat morphometric seed traits in Iranian landraces and cultivars under rain-fed and well-watered conditions
por: Rabieyan, Ehsan, et al.
Publicado: (2022) -
Dissection of the genetic basis of genotype-by-environment interactions for grain yield and main agronomic traits in Iranian bread wheat landraces and cultivars
por: Alipour, Hadi, et al.
Publicado: (2021) -
Capturing agro-morphological variability for tolerance to terminal heat and combined heat–drought stress in landraces and elite cultivar collection of wheat
por: Kumar, Shubham, et al.
Publicado: (2023)