ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2005
Artificial selection and maintenance of genetic variance in the global dairy cow population.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed.
- Climate-resilient genetic selection in cattle: Insights from resilience phenotypes of Fogera cattle under climate variabilities.Veterinary and animal science · 2025Article
- Abundant genetic variation is retained in many laboratory schistosome populations.PLoS pathogens · 2025Article
- Beef cattle phenotypic plasticity and stability of dry matter intake and respiration rate across varying levels of temperature humidity index.Journal of animal science · 2025Article
- Potential approaches to create ultimate genotypes in crops and livestock.Nature genetics · 2024Review
- An Analysis of DNA Sequence Polymorphism in the Swamp Buffalo Toll-like Receptor (Animals : an open access journal from MDPI · 2023Article
- Comparison of blood gas parameters, ions, and glucose concentration in polish Holstein-Friesian Dairy cows at different milk production levels.Scientific reports · 2023Article
- Pedigree and genome-based patterns of homozygosity in the South African Ayrshire, Holstein, and Jersey breeds.Frontiers in genetics · 2023Article
- Calving Ease Risk Factors and Subsequent Survival, Fertility and Milk Production in Italian Holstein Cows.Animals : an open access journal from MDPI · 2022Article
- Moving towards sustainable breeding objectives and cow welfare in dairy production: a South African perspective.Tropical animal health and production · 2021Review
- Genetic Diversity in the Italian Holstein Dairy Cattle Based on Pedigree and SNP Data Prior and After Genomic Selection.Frontiers in veterinary science · 2021Article
- Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.Genetics · 2019Review
- A Strategy To Exploit Surrogate Sire Technology in Livestock Breeding Programs.G3 (Bethesda, Md.) · 2019Article
- Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls.Communications biology · 2019Article
- Article
- Artificial selection increased body weight but induced increase of runs of homozygosity in Hanwoo cattle.PloS one · 2018Article
- A dual targeted β-defensin and exome sequencing approach to identify, validate and functionally characterise genes associated with bull fertility.Scientific reports · 2017Article
- Antagonistic genetic correlations for milking traits within the genome of dairy cattle.PloS one · 2017Article
- Dimensionality of genomic information and performance of the Algorithm for Proven and Young for different livestock species.Genetics, selection, evolution : GSE · 2016Article
- Use of canonical discriminant analysis to study signatures of selection in cattle.Genetics, selection, evolution : GSE · 2016Article
- Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
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2 authors.
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Abstract
Genetic improvement of dairy cows, which has increased the milk yield of cows in the UK by 1200 kg per lactation in 12 years, is an excellent example of the application of quantitative genetics to agriculture. The most important traits of dairy cattle are expressed only in females, but the main opportunity for selection is in males. Despite this, genetic improvement was achieved by the invention of a new statistical methodology, called 'best linear unbiased prediction' to estimate the breeding value of bulls. Intense selection of the best bulls, combined with the worldwide use of these bulls through artificial insemination and frozen semen, has created a global population and caused concern that the genetic variation available in the future will be reduced. Maintenance of genetic variation and long-term genetic gains would be aided by rational payment systems, use of crossbreeding where profitable, inclusion of all economically important traits in the breeding objective, recognition of genotype by environment interactions and the use of selection algorithms that balance estimated breeding value against the average relationship among the selected animals. Fortunately, all of these things are happening to some degree.
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