Multi-Trait Regressor Stacking Increased Genomic Prediction Accuracy of Sorghum Grain Composition
Genomic prediction has enabled plant breeders to estimate breeding values of unobserved genotypes and environments. The use of genomic prediction will be extremely valuable for compositional traits for which phenotyping is labor-intensive and destructive for most accurate results. We studied the pot...
Main Authors: | Sirjan Sapkota, J. Lucas Boatwright, Kathleen Jordan, Richard Boyles, Stephen Kresovich |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/10/9/1221 |
Similar Items
-
Functional genomic effects of indels using Bayesian genome-phenome wide association studies in sorghum
by: J. Lucas Boatwright, et al.
Published: (2023-03-01) -
Identification of Novel Genomic Associations and Gene Candidates for Grain Starch Content in Sorghum
by: Sirjan Sapkota, et al.
Published: (2020-12-01) -
Identification of pleiotropic loci mediating structural and non-structural carbohydrate accumulation within the sorghum bioenergy association panel using high-throughput markers
by: Neeraj Kumar, et al.
Published: (2024-02-01) -
Discovering useful genetic variation in the seed parent gene pool for sorghum improvement
by: Neeraj Kumar, et al.
Published: (2023-09-01) -
ssGBLUP Method Improves the Accuracy of Breeding Value Prediction in Huacaya Alpaca
by: Betsy Mancisidor, et al.
Published: (2021-10-01)