2022
DOI: 10.1080/10495398.2022.2039169
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High resolution melt curve analysis identifies a novel SNP (G21A) in butyrophilin gene having significant association with milk production traits in Holstein Friesian crossbreds of Kerala

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Cited by 5 publications
(4 citation statements)
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“…As the most complex trait in dairy cow production, milk production trait is regulated by many genes and environmental factors. Some nucleotide polymorphisms may be caused by a large (Fu et al, 2022;Jia et al, 2021;Potu et al, 2022) have discussed that SNPs in milk production candidate functional genes can significantly affect milk production traits of dairy cows. In addition, by adding functional gene information of target traits with large genetic effects to expand SNP marker data, the accuracy of genome breeding value prediction can be improved (de Las et al, 2020;Ye et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As the most complex trait in dairy cow production, milk production trait is regulated by many genes and environmental factors. Some nucleotide polymorphisms may be caused by a large (Fu et al, 2022;Jia et al, 2021;Potu et al, 2022) have discussed that SNPs in milk production candidate functional genes can significantly affect milk production traits of dairy cows. In addition, by adding functional gene information of target traits with large genetic effects to expand SNP marker data, the accuracy of genome breeding value prediction can be improved (de Las et al, 2020;Ye et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Scientific evaluation of population genetic structure can provide reference for genetic evaluation, protection and utilization of high‐quality resource populations of Holstein. At present, a large number of studies (Fu et al., 2022; Jia et al., 2021; Potu et al., 2022) have discussed that SNPs in milk production candidate functional genes can significantly affect milk production traits of dairy cows. In addition, by adding functional gene information of target traits with large genetic effects to expand SNP marker data, the accuracy of genome breeding value prediction can be improved (de Las et al., 2020; Ye et al., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Then, all the generated ssDNA strands bind with universal probes labeled with uorophores and quench the uorescence signal. Finally, a melting curve analysis (MCA) [32][33][34] is performed following the reaction. The concentration of miRNAs can thus be quantied by calculating the rate of uorescence change at the corresponding T m value.…”
Section: Introductionmentioning
confidence: 99%
“…Since 2009, the United States, Canada, and other dairy developed countries have successively applied genomic selection (GS) to cow breeding, which selects target traits through single nucleotide polymorphism (SNP) markers to improve selection intensity, efficiency, and accuracy [ 8 ]. Studies have shown that SNPs in the candidate functional genes can significantly affect the milk production traits of dairy cattle [ 9 , 10 , 11 , 12 , 13 ]. Moreover, some researchers showed that extending SNP marker data by adding functional gene information with a large genetic effect of target traits can improve the accuracy of genome breeding value prediction [ 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%