Application of Genetics and Genomics in Livestock Production

The delivery of genome sequences for most livestock species over the past 10-15 years has generated the potential to revolutionise livestock production globally, by providing farmers with the ability to match individual animals to rapidly changing climates, production systems and markets. Initially,...

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Bibliographic Details
Other Authors: Burrow, Heather (Editor), Goddard, Michael (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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DOAB: description of the publication
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520 |a The delivery of genome sequences for most livestock species over the past 10-15 years has generated the potential to revolutionise livestock production globally, by providing farmers with the ability to match individual animals to rapidly changing climates, production systems and markets. Initially, technologies such as marker-assisted selection, functional genomics, gene expression, transcriptomics, proteomics and metabolomics were hailed as technologies with the greatest promise of delivering on that potential. To date, however, their potential for the delivery of practical solutions for livestock farmers is still to be realised, though they do provide supportive evidence of value to other approaches. Gene editing using tools such as CRISPR-Cas9 also show strong promise, but face regulatory hurdles before practical applications can be delivered for use by farmers. The technology that has had the greatest impact to date is genomic selection. This year marks 20 years since genomic selection was developed by Meuwissen, Hayes and Goddard (Genetics, 2001, 157: 1819-1829) and genomic selection has been successfully applied in livestock, plants and even human health applications. However, genomic selection also faces ongoing limitations around lack of essential phenotypes, particularly for expensive or difficult-to-measure traits and possibly the need for faster/greater computational capacity. It is therefore timely to examine the impact of genomic technologies generally, and to identify successes and limitations that need to be overcome in order to achieve practical applications for livestock producers in future. 
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653 |a DNA pooling 
653 |a parentage 
653 |a reproduction 
653 |a genomic relationship 
653 |a genomic prediction 
653 |a genomic selection 
653 |a smallholder farmers 
653 |a beef and dairy cattle 
653 |a sheep and goats 
653 |a phenotypes 
653 |a reference populations 
653 |a capacity-building 
653 |a value of genomic information 
653 |a OTUD7A 
653 |a goose 
653 |a inflammation 
653 |a immune 
653 |a nonalcoholic fatty liver disease 
653 |a high density genotyping 
653 |a imputation 
653 |a sequencing 
653 |a reference population 
653 |a ssGBLUP 
653 |a ssGTBLUP 
653 |a genomic evaluation 
653 |a single-step 
653 |a Holstein 
653 |a genetic groups 
653 |a metafounder 
653 |a positive selection 
653 |a adaptive introgression 
653 |a runs of homozygosity 
653 |a haplotype 
653 |a cattle 
653 |a bursa of Fabricius 
653 |a development 
653 |a degradation 
653 |a chicken 
653 |a transcriptomic analysis 
653 |a genotype by environment 
653 |a breeding strategies 
653 |a selection index 
653 |a response 
653 |a circRNAs 
653 |a DPCs 
653 |a cashmere goats 
653 |a HOXC8 
653 |a RSPO1 
653 |a CCBE1 
653 |a implementation 
653 |a strategy 
653 |a beef cattle 
653 |a tropical environments 
653 |a crossbreeding 
653 |a within-breed selection 
653 |a productive traits 
653 |a resistance to environmental stressors 
653 |a breed conservation 
653 |a causal variants 
653 |a linkage disequilibrium 
653 |a quantitative trait loci 
653 |a fertility 
653 |a heritability 
653 |a genetic evaluation 
653 |a variance components 
653 |a index selection 
653 |a n/a 
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