Simple Summary Beef cattle production plays an important role in providing high-quality animal products, and improving economically valuable traits can help increase production efficiency and sustainability. However, the biological factors that influence important carcass characteristics are complex and are not fully understood. In this study, we investigated the genetic factors affecting carcass performance in a group of crossbred Angus cattle and compared different approaches for identifying useful genetic information and predicting animal performance. We identified several regions of the genome that were related to important carcass characteristics and found that combining information from different cattle groups could improve the reliability of genetic prediction in some cases. We also demonstrated that using information about genetic relationships among animals provided more accurate predictions of future performance. These findings improve our understanding of the genetic basis of beef production traits and provide useful information for selecting superior cattle, which may contribute to more efficient and sustainable beef production.
Feed efficiency is a critical component of sustainable animal production, influencing economic viability, environmental impact, and biological performance. As feed constitutes the largest expense in beef production, even minor improvements in feed efficiency can yield substantial economic benefits. The goal of this s...
Yu-Feng Shang, Henrique Mulim-McCarthy, M. Campos et al.· Journal of Animal Science· 0 citations
This study investigated the genetic basis of growth, carcass, and meat quality traits in Yanying chickens, an indigenous breed adapted to high-altitude environments. A total of 19 growth traits and 29 carcass and meat quality traits were measured, and genome-wide association study (GWAS) was performed to identify loci...
Yu-Hang He, Qiang Wang, Jing-He Li et al.· Poultry Science· 0 citations
Genomic selection; A Modern perspective in Animal breeding which has revolutionized the Dairy and Beef industry. It has enabled us to predict the genetic merit of candidate animals early and accurately by means of Genome Wide testing technologies. This review article focuses on the key advancements in genomic selection...
Muhammad Hassan Raza, Muhammad Ali Raza, Abdullah Basra et al.· Discoveries in Agriculture a...· 0 citations
ABSTRACT Genomic prediction in beef cattle is particularly challenging in breeds with limited phenotypic and genotypic data. In this context, multi‐breed methodologies that integrate information from genetically related populations have emerged as a promising strategy to improve prediction accuracy and calibration unde...
Gabriel Gubiani, L. Temp, M. Londoño-Gil et al.· Animal Genetics· 0 citations
Simple Summary Litter size is an important determinant of reproductive efficiency and economic profitability in dairy goat production, but improving this trait through conventional breeding is challenging because it is influenced by multiple genes and environmental factors. In this study, we identified a chromosome 20...
Jian-Qing Zhao, Shu-Hao Guo, Jian-Wu Li et al.· Veterinary Sciences· 0 citations
Weaning weight is an economically important trait in beef cattle, as it reflects early growth, maternal ability, and calf development. In US Simmental cattle, the open-herdbook system may affect gene enrichment patterns by introducing alleles from other breeds that might alter the genetic architecture of this trait....
Rieko S. Wilford, Henrique Mulim-McCarthy, Hinayah Rojas de Oliveira· Journal of Animal Science· 0 citations
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