Results 61 to 70 of about 2,073 (141)
The objectives were to determine the variation explained by the BovineSNP50v2 BeadChip for cholesterol (CH), polyunsaturated fatty acids (PUFA), monounsaturated fatty acids (MUFA), protein, and minerals in beef cattle, and to identify chromosomal regions
Ahlberg, C. M. +4 more
core
Growth data collected from 2011 to 2024 at Debre Birhan Agricultural Research Center sheep breeding station in Ethiopia was used to estimate crossbreeding parameters and describe the growth pattern of Dorper × Menz crossbred sheep.
Yeshaw, Shanbel
core +1 more source
The objective of the study was to estimate heritability and repeatability for milk yield (MY) and lactation length (LL) in buffaloes using Bayesian inference.
Carneiro, P. L. S. +4 more
core +1 more source
Genomic insights into the admixture and diversity of Kerala crossbred cattle. [PDF]
Khan KD +9 more
europepmc +1 more source
SNP-Panel Design for Dairy Proportion Estimation and Parentage Testing
The selection of small numbers of SNPs to analyse population features is an important task in the livestock industry. Populations differ in their genetic architecture, which often requires the selection of population specific SNPs.
Gondro, Cedric +5 more
core
Genetic Diversity and Population Structure Analysis of Seven Duck Populations of Bangladesh Using Microsatellite Markers. [PDF]
Saha P +7 more
europepmc +1 more source
Multi-omics analysis revealed that oxidative phosphorylation contributed to the heterosis for feed efficiency in laying chickens. [PDF]
Li Q +11 more
europepmc +1 more source
Comparison between repeatability, reproductive stage stratified repeatability, and relative risk models for prediction of breeding values for functional survival in rotationally crossbred sows. [PDF]
Poulsen BG +6 more
europepmc +1 more source
Python Based Genetic Evaluation System for the Improvement of Multi-Breed and Crossbred Beef Cattle
The beef cattle industry faces the challenge of balancing sustainability and profitability. Technological advancements offer potential solutions, However AgSights commercial genetic evaluation system (GES) is currently implemented in lower-level ...
Lee, Kristin
core

