Beta-Casein Gene Polymorphism in Serbian Holstein-Friesian Cows and Its Relationship with Milk Production Traits

Ristanić, Marko; Glavinić, Uroš; Vejnović, Branislav; Maletić, Milan; Kirovski, Danijela; Teodorović, Vlado; Stanimirović, Zoran

doi:10.2478/acve-2020-0037

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…However, the average values in this study correspond to those reported in the works of scientists [1,28]. Higher percentages of the main components of cheese (content of protein and fat, dry matter) are shown in the work of scientists [29].…”

Section: Discussion Of Results Of Determining the Dependence Of The C...supporting

confidence: 83%

Determining the influence of raw milk protein composition on the yield of cheese and its nutrient content

Ladyka,

Bolgova,

Synenko

et al. 2023

EEJET

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Cheese production is a complex process that is influenced by many factors: protein:fat ratio, acidity, and type of rennet. An option for improving the profitability of the cheese industry is the genetic selection of dairy cows to produce milk with good rennet protein coagulation. The object of the study is the technology of cheeses made from milk from cows with different β-casein genotypes (А1А1, А1А2, А2А2). The subject of the study is the physical-chemical parameters of milk from cows with different genotypes for β-casein; yield of cheese from this milk and its quality indicators. Samples of Gouda cheese were produced according to traditional technology. The research established that the quality indicators of milk samples are typical for fresh cow's milk. The content of fat, protein, and dry matter in the milk of cows with the β-casein genotype A2A2 were slightly higher compared to A1A1 and A1A2. The study of the quality indicators of the cheese samples showed that the type of β-casein did not affect the organoleptic properties of the cheese. However, according to the content of the main chemical components, cheeses made from A1A2 milk had a higher content of dry matter and protein (61,6 % and 19,2 % on average, respectively) and a lower fat content (37.2 %). The amino acid profile of cheese from milk of cows with β-casein A1A2 and A2A2 genotypes showed a higher total content of amino acids – 14.89 mg/g and 13.84 mg/g, respectively. Calculations of cheese yield showed that cheese yield from milk of cows with β-casein genotype A1A2 was higher (mean value 13.1 %) than with A1A1 and A2A2. The obtained results are of practical importance, as it is possible to take into account how changes in the β-casein genotype in milk can affect the yield of cheese, and therefore, the profitability of production

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Section: Discussion Of Results Of Determining the Dependence Of The C...supporting

confidence: 83%

Determining the influence of raw milk protein composition on the yield of cheese and its nutrient content

Ladyka,

Bolgova,

Synenko

et al. 2023

EEJET

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“…These results are in line with a previous literature that indicated a negative relation of allele A2 on milk fat content but a positive relation on milk protein content. Although Ristanić et al, (2020) reported a positive relation of allele A2 on both milk protein and milk fat. The highest percentage of A1 variant observed in the Girolando breed in our study could partly be the result of mating of individuals that are closely related genetically.…”

Section: Discussionmentioning

confidence: 92%

Distribution of the Beta-Casein Gene Variants in Three Cattle Breeds Reared in Benin

Adoligbé¹,

Akpo²,

Adido³

et al. 2022

JAS

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The beta-casein gene is one of the most functional genetic candidate that affect milk quality and composition traits. Among its variants, the A1/A2 are the most common. Therefore, the aim of this study was to identify the distribution of the Beta-casein gene variants (A1/A2) in three different cattle breeds in order to determine which of the breed produce a better milk for consumers’ health. 152 blood samples which comprises 72 (Muturu), 40 (Azawak) and 40 Girolando were used to carry out this study. Genomic DNA was extracted from the blood samples and each variant was subsequently amplified from the extracted DNA samples using an Allele-Specific PCR technique and then confirmed by running the PCR products on 1% agarose gel. The result showed that there were three genotypes (A1A1, A2A1 and A2A2) in the three breeds. The average percentage genotypic frequencies obtained from this study were 42.76%, 31.58% and 25.66% respectively for A1A1, A1A2 and A2A2 genotypes while the percentage allelic frequencies were 58% and 42% respectively for A1 and A2 allele. The genetic parameters of Azawak breed were higher than that of the other breeds, what implies that there was a higher polymorphism and genetic diversity in the Azawak breed in the beta-casein gene compare to the other breeds. The A2 beta-casein variant in milk has been found to be desirable for milk consumer’s health and nutrition. This study therefore showed that the Azawak breed provides a good potential for increasing this favorable allele through appropriate breeding techniques of cattle.

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“…The Holstein-Friesian (HF) is the leading dairy breed in the world; its genetic potential for high milk yields is being exploited in virtually all developed countries. Milk production and milk composition are the most carefully selected traits in dairy cattle breeding programs [1,2]. The discovery of molecular markers associated with the aforementioned traits and the application of marker-assisted selection (MAS) made a huge impact on dairy cattle breeding in recent decades.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Analysis of Milk Production Traits and Selection Signatures in Serbian Holstein-Friesian Cattle

Ristanic,

Zorc,

Glavinic

et al. 2024

Animals

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To improve the genomic evaluation of milk-related traits in Holstein-Friesian (HF) cattle it is essential to identify the associated candidate genes. Novel SNP-based analyses, such as the genetic mapping of inherited diseases, GWAS, and genomic selection, have led to a new era of research. The aim of this study was to analyze the association of each individual SNP in Serbian HF cattle with milk production traits and inbreeding levels. The SNP 60 K chip Axiom Bovine BovMDv3 was deployed for the genotyping of 334 HF cows. The obtained genomic results, together with the collected phenotypic data, were used for a GWAS. Moreover, the identification of ROH segments was performed and served for inbreeding coefficient evaluation and ROH island detection. Using a GWAS, a polymorphism, rs110619097 (located in the intron of the CTNNA3 gene), was detected to be significantly (p < 0.01) associated with the milk protein concentration in the first lactation (adjusted to 305 days). The average genomic inbreeding value (FROH) was 0.079. ROH islands were discovered in proximity to genes associated with milk production traits and genomic regions under selection pressure for other economically important traits of dairy cattle. The findings of this pilot study provide useful information for a better understanding of the genetic architecture of milk production traits in Serbian HF dairy cows and can be used to improve lactation performances in Serbian HF cattle breeding programs.

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Beta-Casein Gene Polymorphism in Serbian Holstein-Friesian Cows and Its Relationship with Milk Production Traits

Cited by 17 publications

References 41 publications

Determining the influence of raw milk protein composition on the yield of cheese and its nutrient content

Determining the influence of raw milk protein composition on the yield of cheese and its nutrient content

Distribution of the Beta-Casein Gene Variants in Three Cattle Breeds Reared in Benin

Genome-Wide Analysis of Milk Production Traits and Selection Signatures in Serbian Holstein-Friesian Cattle

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