4.7 Article

Genome-wide association study for selected cheese-making properties in Dual-Purpose Belgian Blue cows

Journal

JOURNAL OF DAIRY SCIENCE
Volume 105, Issue 11, Pages 8972-8988

Publisher

ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2022-21780

Keywords

genetic parameter; milk composition; mid-infrared spectroscopy; dual-purpose cattle

Funding

  1. Walloon Government (Service Public de Wallonie - Direction Generale Operationnelle Agriculture, Ressources Naturelles et Environnement, SPW-DGARNE, Namur, Belgium)
  2. WALLeSmart Project
  3. Fonds de la Recherche Scientifique - FNRS (Brussels, Belgium) [D31-1392]
  4. INTERREG VA France-Wallonie-Vlaanderen program
  5. Walloon Government through the BlueSter project
  6. Fonds de la Recherche Scientifique - FNRS
  7. [T.0095.19]
  8. [J.0174.18]

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This study estimated genetic parameters and identified genomic regions associated with selected cheese-making properties in Dual-Purpose Belgian Blue (DPBB) cows. The results showed different sets of candidate genes for cheese-making traits between parities and lactation stages, which is important for future improvements in DPBB cows' traits.
This study aimed to estimate genetic parameters and identify genomic region(s) associated with selected cheese-making properties (CMP) in Dual-Purpose Belgian Blue (DPBB) cows. Edited data were 46,301 test-day records of milk yield, fat percentage, protein percentage, casein percentage, milk calcium content (CC), coagulation time (CT), curd firmness after 30 min from rennet addition (a30), and milk titratable acidity (MTA) collected from 2014 to 2020 on 4,077 first-parity (26,027 test-day records), and 3,258 second-parity DPBB cows (20,274 test-day records) distributed in 124 herds in the Walloon Region of Belgium. Data of 28,266 SNP, located on 29 Bos taunts autosomes (BTA) of 1,699 animals were used. Random regression test-day models were used to estimate genetic parameters through the Bayesian Gibbs sampling method. The SNP solutions were estimated using a single-step genomic BLUP approach. The proportion of the total additive genetic variance explained by windows of 25 consecutive SNPs (with an average size of similar to 2 Mb) was calculated, and regions accounting for at least 1.0% of the total additive genetic variance were used to search for candidate genes. Heritability estimates for the included CMP ranged from 0.19 (CC) to 0.50 (MTA), and 0.24 (CC) to 0.41 (MTA) in the first and second parity, respectively. The genetic correlation estimated between CT and a30 varied from -0.61 to -0.41 and from -0.55 to -0.38 in the first and second lactations, respectively. Negative genetic correlations were found between CT and milk yield and composition, while those estimated between curd firmness and milk composition were positive. Genome-wide association analyses results identified 4 genomic regions (BTA1, BTA3, BTA7, and BTA11) associated with the considered CMP. The identified genomic regions showed contrasting results between parities and among the different stages of each parity. It suggests that different sets of candidate genes underlie the phenotypic expression of the considered CMP between parities and lactation stages of each parity. The findings of this study can be used for future implementation and use of genomic evaluation to improve the cheese-making traits in DPBB cows.

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