Developing genomic selection models in pearl millet for breeding hybrid parent Iines final report
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Rajeev Gupta. (31/12/2019). Developing genomic selection models in pearl millet for breeding hybrid parent Iines final report.
In this project, the world diversity panel of pearl millet available i.e. the pearl millet inbred germplasm panel (PMiGAP) at ICRISAT was used. These were supplemented by 50 adapted breeding lines from the pearl millet programme of PC Unit. The phenotypic data was generated during 2018, along with that generated on the respective testcross hybrids of the inbred training set during rainy season 2019 will be used to develop a genomic selection model. We will use the R-package “BGLR” (Bayesian Generalized Linear Regression) (Perez and De Los Campos, 2014) to fit five GS methods: Bayes A, Bayes B, Bayes C, BRR and BL for about 15 traits for development of an initial genomic selection model. These GS models may help breed superior inbred parents that can give rise to superior hybrids in pearl millet.