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DOI: https://doi.org/10.5713/ab.20.0596    [Accepted] Published online February 15, 2021.
Composite genotypes of progestagen-associated endometrial protein gene and their association with composition and quality of dairy cattle milk
Magdalena Kolenda1,*  , Beata Sitkowska1  , Dariusz Kamola2  , Barry D. Lambert3 
1Department of Animal Biotechnology and Genetics, Faculty of Animal Breeding and Biology, UTP University of Science and Technology, Bydgoszcz 85-084, Poland
2Department of Physiological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-776, Warsaw, Poland
3Department of Animal Science and Veterinary Technology, Tarleton State University, Stephenville, TX 76402, United States
Correspondence:  Magdalena Kolenda, Tel: +48-52-37-49-721, Email: kolenda@utp.edu.pl
Received: 26 August 2020   • Revised: 24 October 2020   • Accepted: 2 February 2021
Abstract
Objective
The PAEP (progestagen-associated endometrial protein) gene encodes the main whey protein in milk, β-lactoglobulin. The aim of the study was to investigate polymorphism in the PAEP gene and its association with milk yield, composition, and quality.
Methods
Test-day records for 782 dairy cows were analysed. A total of 10 single nucleotide polymorphisms (SNP) within the PAEP gene were investigated. The following parameters were recorded: milk yield (MY, kg/day), percent milk fat (FP, %), protein (PP, %), dry matter (DMP, %) and lactose (LP, %), urea content (UC, mg/l) as well as natural logarithm for somatic cell count (LnSCC, ln). Effect on (G)EBVs accuracy was evaluated with pedigree and single step model.
Results
Results show that only three SNPs were polymorphic, creating 5 composite genotypes: P1-P5. Differences in MY between composite genotypes were noted in the two tested herds. Cows with P5 composite genotypes were characterised by the highest PP and LnSCC and the lowest LP and UC (P<0.05). P4 was linked to an increased DMP and UC, while P3 to an increase in LP and decrease in PP and LnSCC. Both of these factors are very important markers in herd management and have high influences on the herds economics. For 5 out of 7 traits the accuracy of prediction was improved by including the haplotype as a fixed effect.
Conclusion
Presented results may suggest a new way to optimise breeding programmes and demonstrate the impact of using genomic data during that process.
Keywords: β-lactoglobulin; Cattle; Genetics; PAEP; Polymorphisms; Milk Performance


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