Evaluation of genomic selection methods for predicting fiber quality traits in Upland cotton.
Fiber quality
Genomic selection
Genotyping-by-sequencing
Multi-parent advanced generation inter-cross
Upland cotton
Journal
Molecular genetics and genomics : MGG
ISSN: 1617-4623
Titre abrégé: Mol Genet Genomics
Pays: Germany
ID NLM: 101093320
Informations de publication
Date de publication:
Jan 2020
Jan 2020
Historique:
received:
29
03
2019
accepted:
29
07
2019
pubmed:
2
9
2019
medline:
22
1
2020
entrez:
2
9
2019
Statut:
ppublish
Résumé
The use of genomic selection (GS) has stimulated a new way to utilize molecular markers in breeding for complex traits in the absence of phenotypic data. GS can potentially decrease breeding cycle by selecting the progeny in the early stages. The objective of this study was to experimentally evaluate the potential value of genomic selection in Upland cotton breeding. Six fiber quality traits were obtained in 3 years of replicated field trials in Starkville, MS. Genotyping-by-sequencing-based genotyping was performed using 550 recombinant inbred lines of the multi-parent advanced generation inter-cross population, and 6292 molecular markers were used for the GS analysis. Several methods were compared including genomic BLUP (GBLUP), ridge regression BLUP (rrBLUP), BayesB, Bayesian LASSO, and reproducing kernel hilbert spaces (RKHS). The average heritability (h
Identifiants
pubmed: 31473809
doi: 10.1007/s00438-019-01599-z
pii: 10.1007/s00438-019-01599-z
doi:
Substances chimiques
Genetic Markers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
67-79Références
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