Comparison of genomic selection models for exploring predictive ability of complex traits in breeding programs
Abstract Traits with a complex unknown genetic architecture are common in breeding programs. However, they pose a challenge for selection due to a combination of complex environmental and pleiotropic effects that impede the ability to create mapping populations to characterize the trait's genet...
Enregistré dans:
Auteurs principaux: | Lance F. Merrick, Arron H. Carter |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ab8ab90773c74fa8bc5d80b2d3a9ad3d |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Multitrait machine‐ and deep‐learning models for genomic selection using spectral information in a wheat breeding program
par: Karansher Sandhu, et autres
Publié: (2021) -
Genomic selection of parents and crosses beyond the native gene pool of a breeding program
par: Sebastian Michel, et autres
Publié: (2021) -
Environment characterization and genomic prediction for end‐use quality traits in soft white winter wheat
par: Meriem Aoun, et autres
Publié: (2021) -
A near‐complete genome sequence of mungbean (Vigna radiata L.) provides key insights into the modern breeding program
par: Jungmin Ha, et autres
Publié: (2021) -
Genetic diversity assessment of Georgia peanut cultivars developed during ninety years of breeding
par: Nino Brown, et autres
Publié: (2021)