Bull efficiency using dairy genetic traits

Whitt, Christine; Tauer, Loren W.; Huson, Heather J.

doi:10.1371/journal.pone.0223436

Cited by 4 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a second approach, we used principal component analysis (PCA) with SVS v7.7.6 (Golden Helix, Inc., Bozeman, MT, www.goldenhelix.com). Female genetics was not included in the present study, which is in similar lines with several reports [3,[38][39][40][41][42].…”

Section: Genetic Diversity and Population Structure Analysissupporting

confidence: 81%

See 1 more Smart Citation

Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight

et al. 2020

View full text Add to dashboard Cite

The domestic Nili-Ravi water buffalo (Bubalus bubalis) is the best dairy animal contributing 68% to total milk production in Pakistan. In this study, we identified genome-wide single nucleotide polymorphisms (SNPs) to estimate various population genetic parameters such as diversity, pairwise population differentiation, linkage disequilibrium (LD) distribution and for genome-wide association study for milk yield and body weight traits in the Nili-Ravi dairy bulls that they may pass on to their daughters who are retained for milking purposes. The genotyping by sequencing approach revealed 13,039 reference genome-anchored SNPs with minor allele frequency of 0.05 among 167 buffalos. Population structure analysis revealed that the bulls were grouped into two clusters (K = 2), which indicates the presence of two different lineages in the Pakistani Nili-Ravi water buffalo population, and we showed the extent of admixture of these two lineages in our bull collection. LD analysis revealed 4169 significant SNP associations, with an average LD decay of 90 kb for these buffalo genome. Genome-wide association study involved a multi-locus mixed linear model for milk yield and body weight to identify genome-wide male effects. Our study further illustrates the utility of the genotyping by sequencing approach for identifying genomic regions to uncover additional demographic complexity and to improve the complex dairy traits of the Pakistani Nili-Ravi water buffalo population that would provide the lot of economic benefits to dairy industry.

show abstract

Section: Genetic Diversity and Population Structure Analysissupporting

confidence: 81%

“…Some bulls excel in certain economic traits but not all. All the selected bulls for this study have been made available for artificial insemination, and so these bulls were genetically tested for various traits deemed important in milk production and body weight [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Progeny testing is based on the performance of the offspring, which, when superior to the parental generation, leads to genetic improvement [ 42 , 44 ]. Recent technologies have made it possible to evaluate genetic merit or value through genomic prediction [ 45 ], whereby, through the analysis of the genome of the animals, the predicted breeding values (EBV) can be estimated [ 44 ]. Due to the high amount of data available, as well as pedigree information, and phenotypes information, the estimation of the breeding values of the selected animals is highly reliable [ 46 ].…”

Section: Milk Production: From Rearing To Milkingmentioning

confidence: 99%

Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries

Medeiros

Fernández-Novo

Astiz³

et al. 2022

Veterinary Sciences

View full text Add to dashboard Cite

This work aimed to review the important aspects of the dairy industry evolution at herd level, interrelating production with health management systems. Since the beginning of the industrialization of the dairy cattle sector (1950s), driven by the need to feed the rapidly growing urban areas, this industry has experienced several improvements, evolving in management and technology. These changes have been felt above all in the terms of milking, rearing, nutrition, reproductive management, and design of facilities. Shortage of labor, emphasis on increasing farm efficiency, and quality of life of the farmers were the driving factors for these changes. To achieve it, in many areas of the world, pasture production has been abandoned, moving to indoor production, which allows for greater nutritional and reproductive control of the animals. To keep pace with this paradigm in milk production, animal health management has also been improved. Prevention and biosecurity have become essential to control and prevent pathologies that cause great economic losses. As such, veterinary herd health management programs were created, allowing the management of health of the herd as a whole, through the common work of veterinarians and farmers. These programs address the farms holistically, from breeding to nutrition, from prevention to consultancy. In addition, farmers are now faced with a consumer more concerned on animal production, valuing certified products that respect animal health and welfare, as well as environmental sustainability.

show abstract

Dairy Farming from a Production Economics Perspective: An Overview of the Literature

Bravo‐Ureta

Wall

Neubauer

2021

Handbook of Production Economics

View full text Add to dashboard Cite

Bull efficiency using dairy genetic traits

Cited by 4 publications

References 18 publications

Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight

Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight

Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries

Dairy Farming from a Production Economics Perspective: An Overview of the Literature

Contact Info

Product

Resources

About