Unknown

Dataset Information

Investigation of growth traits in Turkish Merino lambs using multi-locus GWAS approaches: Karacabey Merino.


ABSTRACT:

Background

Sheep have demonstrated remarkable adaptability to diverse and unproductive pastures, making them highly advantageous in the context of sustainable farming practices in the globally warming world. Despite their adaptation skills, local sheep breeds generally exhibit low performance, highlighting the need to develop desired traits. Traditional Mixed Linear Model (MLM)-based single-locus Genome-Wide Association (GWA) studies may fall short in identifying multiple loci influencing traits due to their linear genome scanning approach, rendering them less effective for detecting polygenic effects.

Objectives

To identify genetic variants associated with birth weight (BW) and weaning weight (WW) in Karacabey Merino lambs using multi-locus genome-wide association study (GW

SUBMITTER: Yaman Y 

PROVIDER: S-EPMC12333283 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature