Mastitis is one of the most significant diseases affecting dairy cattle profitability. A genome wide association study (GWAS) was performed using the selective genotyping approach to identify Quantitative Trait Loci (QTL) associated with mastitis susceptibility. According to the received antibiotic treatments in all their productive life, 52 lactating cows have been classified in resistant (no therapy and low SCC) and susceptible (more than one treatment and high SCC) to mastitis. Genotyping of animals was performed using the NEOGEN’s GGP Bovine 100K SNP chip and QTL were identified comparing the SNPs allelic frequencies between the two groups. 26 SNPs related to mastitis susceptibility were identified in 9 chromosomes. The use of treatment data, coupled with SCC from milk recording, improved cow’s classification accuracy in resistant and susceptible individuals. For this reason, the mandatory recording of treatments active from January 2022, could be a new source of information to improve the genetic selection for mastitis resistance.

Antibiotic treatments and somatic cell count as phenotype to map QTL for mastitis susceptibility in Holstein cattle breed / M. Giuseppina Strillacci, C. Punturiero, R. Milanesi, F. Bernini, T. Mason, A. Bagnato. - In: ITALIAN JOURNAL OF ANIMAL SCIENCE. - ISSN 1828-051X. - 22:1(2023), pp. 190-199. [10.1080/1828051X.2023.2175498]

Antibiotic treatments and somatic cell count as phenotype to map QTL for mastitis susceptibility in Holstein cattle breed

C. Punturiero
Secondo
;
R. Milanesi;F. Bernini;T. Mason
Penultimo
;
A. Bagnato
Ultimo
2023

Abstract

Mastitis is one of the most significant diseases affecting dairy cattle profitability. A genome wide association study (GWAS) was performed using the selective genotyping approach to identify Quantitative Trait Loci (QTL) associated with mastitis susceptibility. According to the received antibiotic treatments in all their productive life, 52 lactating cows have been classified in resistant (no therapy and low SCC) and susceptible (more than one treatment and high SCC) to mastitis. Genotyping of animals was performed using the NEOGEN’s GGP Bovine 100K SNP chip and QTL were identified comparing the SNPs allelic frequencies between the two groups. 26 SNPs related to mastitis susceptibility were identified in 9 chromosomes. The use of treatment data, coupled with SCC from milk recording, improved cow’s classification accuracy in resistant and susceptible individuals. For this reason, the mandatory recording of treatments active from January 2022, could be a new source of information to improve the genetic selection for mastitis resistance.
antibiotic treatment; genome wide association study; Mastitis; SCC; selective genotyping approach
Settore AGR/17 - Zootecnica Generale e Miglioramento Genetico
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/954894
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