Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds

Identifying loci with breeding potential across temperate and tropical adaptation via Eigen GWAS and Env GWAS

(2019) Jing Li et al.   MOLECULAR ECOLOGY

Phenotypic Data from Inbred Parents Can Improve Genomic Prediction in Pearl Millet Hybrids

(2018) Zhikai Liang et al.   G3-Genes Genomes Genetics

A One-Penny Imputed Genome from Next-Generation Reference Panels

(2018) Brian L. Browning et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Genetic Diversity, Population Structure, and Botanical Variety of 320 Global Peanut Accessions Revealed Through Tunable Genotyping-by-Sequencing

(2018) Zheng Zheng et al.   Scientific Reports

Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments

(2017) Rajeev K Varshney et al.   NATURE BIOTECHNOLOGY

tGBS® genotyping-by-sequencing enables reliable genotyping of heterozygous loci

(2017) Alina Ott et al.   NUCLEIC ACIDS RESEARCH

Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids

(2017) Rocío Acosta-Pech et al.   THEORETICAL AND APPLIED GENETICS

Application of genotyping by sequencing technology to a variety of crop breeding programs

(2016) Changsoo Kim et al.   PLANT SCIENCE

Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline

(2016) D. C. Kadam et al.   G3-Genes Genomes Genetics

Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize

(2014) Frank Technow et al.   GENETICS

Genome-Wide Regression and Prediction with the BGLR Statistical Package

(2014) P. Perez et al.   GENETICS

Genomewide predictions from maize single-cross data

(2012) Jon M. Massman et al.   THEORETICAL AND APPLIED GENETICS

Rapid SNP Discovery and Genetic Mapping Using Sequenced RAD Markers

(2008) Nathan A. Baird et al.   PLoS One