PLoS ONE · 2009 · 161 citations · 23 references
Life SciencesDairy ScienceGeneticsGenomic SelectionGenomicsPopulation GeneticsGene MappingGenome-wide Association StudiesLivestock Climate AdaptationMarker ValidationMolecular MarkersClimate Change ScenariosClimate Stress ScenariosGenome-wide Association Study DesignGenomic Selection ResponseLinkage Disequilibrium AnalysisLinkage Disequilibrium PatternsMilk Production GeneticsMilk Production Responses
Continued production of food in areas predicted to be most affected by climate change, such as dairy farming regions of Australia, will be a major challenge in coming decades. Along with rising temperatures and water shortages, scarcity of inputs such as high energy feeds is predicted. With the motivation of selecting cattle adapted to these changing environments, we conducted a genome wide association study to detect DNA markers (single nucleotide polymorphisms) associated with the sensitivity of milk production to environmental conditions. To do this we combined historical milk production and weather records with dense marker genotypes on dairy sires with many daughters milking across a wide range of production environments in Australia. Markers associated with sensitivity of milk production to feeding level and sensitivity of milk production to temperature humidity index on chromosome nine and twenty nine respectively were validated in two independent populations, one a different breed of cattle. As the extent of linkage disequilibrium across cattle breeds is limited, the underlying causative mutations have been mapped to a small genomic interval containing two promising candidate genes. The validated marker panels we have reported here will aid selection for high milk production under anticipated climate change scenarios, for example selection of sires whose daughters will be most productive at low levels of feeding.
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Adapting agriculture to climate change
Mark Howden, Jean‐François Soussana, Francesco N. Tubiello et al. · Proceedings of the National Academy of Sciences · 2007 · 2.1K citations · Full text
Genome-Wide Survey of SNP Variation Uncovers the Genetic Structure of Cattle Breeds
Richard A. Gibbs, Jeremy F. Taylor, Curtis P. Van Tassell et al. · Science · 2009 · 907 citations · Full text