scholarly journals Molecular screening of bovine β-casein (CSN2) A2 variant in Indonesian Holstein dairy cattle as attempt to produce digestive friendly milk

2021 ◽  
Vol 902 (1) ◽  
pp. 012060
Author(s):  
A M P Nuhriawangsa ◽  
T Mulyani ◽  
G Pambuko ◽  
R Vanessa ◽  
Purwadi ◽  
...  

Abstract Cow’s milk-intolerance is a digestive problem on people who not able to digest milk. This problem may relate to the variant of (3-casein (CSN2), especially A1, suggested due to (3-casomorphins (BCM-7) formation during enzymatic digestion, for that selecting cattle free BCM-7 become a concern to produce digestive friendly milk. This study aimed to differentiate A1 and A2 allele variant of CSN2 gene in selected population of Indonesian Holstein cattle. In total 70 cows DNA were collected, and fragment of CSN2 exon 7 which contain Single Nucleotide Polymorphism (SNP) rs43703011 and rs43703013 were amplified. Variant analysis was done by mutation site analysis using PCR-Restriction Fragment Length Polymorphism (PCR-RFLP) with Mspl restriction enzyme and DNA sequence for confirmation. Result shows 2 allele variants of (3-casein that are B type, representing A1 family variant, and A2 in mutation site rs43703013C>G. We found A2 allele in the studied population is superior in frequency than A1 (0.916 vs. 0.084). Of that, 8.6% cattle were heterozygotes that is BA2 and 91.4% were homozygotes A2A2. Cattle which carry A1 allele variant should be excluded from dairy cattle breeding program for further milk production free of BCM-7.

Author(s):  
K.ZH. ZHUMANOV ◽  
◽  
T.N. KARYMSAKOV ◽  
M.A. KINEEV ◽  
M.V. TAMAROVSKIY ◽  
...  

According to the current “Instruction” used in dairy cattle selection and breeding in the Republic of Kazakhstan, bulls-producers of dairy breeds are assessed according to the their offspring quality based on the principle of “peer daughter”. This means that the phenotypic indicators of the daughters of the tested bulls are compared with the corresponding indicators of their peers. In European countries with developed dairy cattle breeding, as well as in Canada, the USA, etc., to ensure a reliable forecast of the genetic value of individuals (primarily, bulls-producers), use is made of the best linear unbiased forecast method (BLUP method). This method implies that the breeding value of producers is determined by the deviation values of the development of traits of the examined animal from its average values in the population. Especially urgent area is the research aimed at improving breeding programs, including assessing the breeding value of bulls-producers of dairy breeds using BLUP methods based on the productive qualities of the mass of dairy cattle in the Republic of Kazakhstan. The research material included the data on the phenotypic indicators of the milk productivity of first-calf cows (the amount of milk yield, the content of fat and protein in milk, the yield of milk fat and protein) of the Holstein black-motley dairy cattle breed, obtained from the information and analytical database of the Republic of Kazakhstan for 2016–2017. It was found that when evaluating according to the official “Instruction”, 16 sires out of 256 bulls (6.2%) got the stud category in 2016, 14 sires (9.2%) out of 152 bulls in 2017, and – 30 sires of 249 bulls (12.0%) over the cumulative period. The results of the conducted research prove that the use of the classic “Instructions” in dairy cattle breeding has lower efficiency (by 42.8–90.0%) as compared with the assessment of the breeding value of bulls based on the BLUP method.The selection of sire bulls into breeding groups based on the “peer daughter” methodology is not reliable enough and rather ineffective. Comparing the results of assessing the breeding qualities of sire bulls, obtianed using two methods in all compared periods (2016, 2017, 2016–2017), the authors established a clear superiority of the BLUP method over the current Instruction used in the Republic of Kazakhstan.


Author(s):  
E.E. Melnikova ◽  
◽  
S.N. Kharitonov ◽  
I.N. Yanchukov ◽  
L.V. Ionova ◽  
...  

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