TY  - JOUR
AV  - public
A1  - Jarquin, D
A1  - Howard, R
A1  - Liang, Z
A1  - Gupta, S K
A1  - Schnable, J C
A1  - Crossa, J
TI  - Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds
UR  - https://doi.org/10.3389/fgene.2019.01294
JF  - Frontiers in Genetics (TSI)
SN  - 1664-8021
PB  - Frontiers Media
N2  - Genomic selection (GS) is an emerging methodology that helps select superior lines among experimental cultivars in plant breeding programs. It offers the opportunity to increase the productivity of cultivars by delivering increased genetic gains and reducing the breeding cycles. This methodology requires inexpensive and sufficiently dense marker information to be successful, and with whole genome sequencing, it has become an important tool in many crops. The recent assembly of the pearl millet genome has made it possible to employ GS models to improve the selection procedure in pearl millet breeding programs. Here, three GS models were implemented and compared using grain yield and dense molecular marker information of pearl millet obtained from two different genotyping platforms (C [conventional GBS RAD-seq] and T [tunable GBS tGBS]). The models were evaluated using three different cross-validation (CV) schemes mimicking real situations that breeders face in breeding programs: CV2 resembles an incomplete field trial, CV1 predicts the performance of untested hybrids, and CV0 predicts the performance of hybrids in unobserved environments. We found that (i) adding phenotypic information of parental inbreds to the calibration sets improved predictive ability, (ii) accounting for genotype-by-environment interaction also increased the performance of the models, and (iii) superior strategies should consider the use of the molecular markers derived from the T platform (tGBS).
KW  - Genomic selection
KW  -  Hybrid prediction
KW  -  Genotype-by-environment interaction G×E
KW  -  General combining ability
KW  -  Specific combining ability
KW  -  Conventional
KW  -  Tunable GBS
Y1  - 2020/01//
SP  - 1
ID  - icrisat11365
EP  - 11
VL  - 10
IS  - 1294
ER  -