Unravelling Population Structures and Selection Signatures for milk production and adaptive traits in Genetically Admixed Population of Sub-Saharan African Cattle

This study utilizes high-density SNP data and machine learning to characterize the population structure and identify selection signatures for milk production and adaptation in genetically admixed Sub-Saharan African cattle, providing critical insights for their conservation and sustainable genetic improvement.

Original authors: Kazeem Ajasa Badmus, Jayesh Vyas, Anil Chitra, Ishmeet Kumar, Ritik Kumar Singh, Sabyasachi Mukherjee, Anupama Mukherjee