scholarly journals Associations between the bovine PPARGC1A gene and milk production traits

2010 ◽  
Vol 55 (No. 5) ◽  
pp. 195-199 ◽  
Author(s):  
I. Kowalewska-Łuczak ◽  
H. Kulig ◽  
M. Kmieć

The aim of this study was to investigate associations between PPARGC1A genotypes and haplotypes and milk production traits. The study included 181 Jersey cows. The genotypes were identified by the PCR-RFLP method. The frequencies of the most common alleles were as follows: T – 0.63 (c.1892T>C) and A – 0.88 (c.3359A>C). The frequency of the most common haplotype was TC/AA – 0.558. The results showed that there were no statistically significant associations between the individual genotypes of both SNPs and milk traits; however, individuals with the CC/AC haplotype produced significantly (P ≤ 0.05; P ≤ 0.001) less milk and had a significantly (P ≤ 0.001) higher protein content in milk.

2005 ◽  
Vol 48 (2) ◽  
pp. 149-156 ◽  
Author(s):  
A. Dybus ◽  
W. Grzesiak ◽  
H. Kamieniecki ◽  
I. Szatkowska ◽  
Z. Sobek ◽  
...  

Abstract. Associations between polymorphism localised in the third exon of the prolactin gene (PRL-RsaI) and milk xproduction traits of Black-and-White and Jersey cattle were analysed. A total of 427 cows were included in the study. PCR-RFLP method was used. The frequencies of genotypes and alleles were as follows: 0.7107 – AA, 0.2851 – AB, 0.0042 – BB; 0.8533 – PRLA and 0.1467 – PRLB for Black-and-White cattle and 0.0919 – AA, 0.4324 – AB, 0.4757 – BB; 0.3081 – PRLA and 0.6919 – PRLB for Jersey cattle. Statistically significant differences between the breeds were observed in the frequencies of genotypes and alleles. Associations between PRL-RsaI polymorphism and milk production traits of Jersey cows and lack of associations with these traits in Black-and-White cows were observed.


Author(s):  
Veronika Gazdová ◽  
Petr Humpolíček ◽  
Vanda Déduchová ◽  
Jitka Filkuková ◽  
Josef Dvořák

The effect of the χ-casein (C-CSN) and β –casein (B-CSN) loci on the milk production traits (milk yield, fat, protein and lactose content) was estimated for 807 and 488 Czech Fleckvieh and 402 and 244 Holstein cows, respectively. Genotypes of C-CNS and B-CNS were determined by the use of PCR–RFLP method. The genotypes were detected by use of electrophoresis on agarose gel. The associations of studied polymorphisms with milk production traits were estimated using the mixed linear model procedure REML in SAS for Windows 9.1.3. Results indicated that protein content is significantly affected (P ≤ 0.01) by C-CSN genotype (genotype BB > AB > AA). Fat and lactose content were not affected by C-CSN locus. The B-CNS locus had no significant effect on any milk production traits.


2009 ◽  
Vol 52 (6) ◽  
pp. 647-649
Author(s):  
I. Kowalewska-Łuczak ◽  
H. Kulig ◽  
M. Kmieć

Abstract. ABCG2 (ATP-binding cassette, subfamily G, member 2) belongs to the superfamily of ATPbinding cassette (ABC) transporters. In ATP-dependent processes, ABCG2 is responsible for transporting xenobiotics and cytostatic drugs across various cellular membranes. The ABCG2 gene is expressed in the apical membrane of alveolar mammary epithelial cells and is responsible for the active secretion of substrates into mouse milk. Other members of the ABC subfamily G are sterol transporters. It therefore appears that ABCG2 might transport cholesterol into milk (COHEN-ZINDER et al. 2005). In the study by COHEN-ZINDER et al. (2005), several SNPs were detected in the ABCG2 gene but only two were genotyped – in exon 14 and in intron 3. In the case of SNP A/C in exon 14 resulting in an amino acid change Y581S, it was demonstrated that this substitution affects milk yield and composition. To detect theses polymorphisms in our study we used a new PCR-RFLP method based on an amplification created restriction site (ACRS). This method has been frequently used by various researchers in recent times (e.g. ZYCH et al. 2007). The aim of this study was to estimate the frequencies of genotypes and alleles and to investigate possible associations between ABCG2 polymorphisms and milk production traits in Jersey cows.


2010 ◽  
Vol 53 (5) ◽  
pp. 501-509
Author(s):  
M. Muszyńska ◽  
I. Szatkowska ◽  
W. Grzesiak ◽  
A. Dybus ◽  
D. Zaborski

Abstract. Associations between two polymorphisms localized in the seventh exon of the butyrophilin gene (BTN/HaeIII and BTN/SchI) and milk production traits of Jersey cattle were analysed. A total of 171 cows were included in the study. PCR-RFLP method was used. In both polymorphisms three genotypes were identified. Statistically significant differences between polymorphic variants and milk production traits of Jersey cows were observed. Those differences concerned the percentage fat content in milk in the case of both polymorphisms and additionally the yield of milk and protein in the case of BTN/HaeIII polymorphism. The influence of the combined genotypes (BTN/HaeIII/SchI) on the examined traits was also analysed. GGHaeIII/AGSchI combined genotype was characterized by a significantly lower percentage fat content in comparison to other combinations. Moreover, incomplete linkage between the studied polymorphic sites was observed, despite relatively small distance between them.


2016 ◽  
Vol 56 (4) ◽  
pp. 708 ◽  
Author(s):  
S. F. Walkom ◽  
F. D. Brien ◽  
M. L. Hebart ◽  
N. M. Fogarty ◽  
S. Hatcher ◽  
...  

The profitability of a sheep enterprise is greatly influenced by the ability of the ewe to produce a lamb annually. This paper examines the between- and within-breed association between the liveweight and fat score of the adult ewe and key fleece, reproduction and milk production traits. The study analysed the performance of 2846 first-cross Merino and Corriedale ewes from the maternal central progeny test (MCPT) over their first three production cycles. Breed (9 sire breeds) and within-breed (91 sires) correlations were calculated from bivariate correlations of adult liveweight and fat score with fleece, reproduction and milk production traits. The mean liveweight and fatness of the breeds were low to moderately negatively correlated with greasy fleece weight (–0.55 and –0.25, respectively) and moderate to strongly positively correlated with fibre diameter (0.88 and 0.41, respectively). However, the within-breed correlations were generally low to negligible. The genetic relationships between ewe fat score and reproductive traits at the breed and within-breed level was generally low to negligible and, in some cases, negative under production conditions where the ewes were well managed and averaged a fat score of 3.5 pre-joining and became too fat across the production cycle. Strong breed correlations between ewe fat score and milk fat concentration (0.88) suggest that selection of fatter sire breeds will lead to increased fat in their progenies’ milk, which was associated with larger lambs. The potential advantages of selecting for more fat to improve the maternal performance of the ewe seem to be limited in enterprises where the production system can easily be adjusted to restrict the influence of temporary and long-term feed deficiencies, as was achieved within the MCPT research flocks.


2005 ◽  
Vol 72 (4) ◽  
pp. 470-475 ◽  
Author(s):  
Nicolò PP Macciotta ◽  
Pancrazio Fresi ◽  
Graziano Usai ◽  
Aldo Cappio-Borlino

Test day records of milk yield (38765), fat and protein contents (11357) of Sarda goats (the most numerous Italian goat breed) were analysed with mixed linear models in order to estimate the effects of test date (month and year of kidding for fat and protein contents) parity, number of kids born, altitude of location of flocks (<200 m asl, 200–500 m asl, >500 m asl), flocks within altitude and lactation stage (eight days-in-milk intervals of 30 d each) on milk production. All factors considered in the models affected milk traits significantly. Milk yield was lower in first parity goats than in higher parities whereas fat and protein contents showed an opposite trend. Goats with two kids at parturition had a higher milk yield than goats with one kid and tended to have lower fat and protein percentages. Repeatability between test days within lactation was 0·34, 0·17 and 0·45 for milk yield, fat content and protein content, respectively. Lactation curves of goats farmed at different altitudes were clearly separated, especially for milk yield. Results of the present study highlight differences in milk production traits among the three subpopulations that have been previously identified within the Sarda breed on the basis of the morphological structure of animals and altitude of location of flocks.


2021 ◽  
Vol 12 ◽  
Author(s):  
Paula Korkuć ◽  
Danny Arends ◽  
Katharina May ◽  
Sven König ◽  
Gudrun A. Brockmann

German Black Pied cattle (DSN) is an endangered population of about 2,550 dual-purpose cattle in Germany. Having a milk yield of about 2,500 kg less than the predominant dairy breed Holstein, the preservation of DSN is supported by the German government and the EU. The identification of the genomic loci affecting milk production in DSN can provide a basis for selection decisions for genetic improvement of DSN in order to increase market chances through the improvement of milk yield. A genome-wide association analysis of 30 milk traits was conducted in different lactation periods and numbers. Association using multiple linear regression models in R was performed on 1,490 DSN cattle genotyped with BovineSNP50 SNP-chip. 41 significant and 20 suggestive SNPs affecting milk production traits in DSN were identified, as well as 15 additional SNPs for protein content which are less reliable due to high inflation. The most significant effects on milk yield in DSN were detected on chromosomes 1, 6, and 20. The region on chromosome 6 was located nearby the casein gene cluster and the corresponding haplotype overlapped the CSN3 gene (casein kappa). Associations for fat and protein yield and content were also detected. High correlation between traits of the same lactation period or number led to some SNPs being significant for multiple investigated traits. Half of all identified SNPs have been reported in other studies, previously. 15 SNPs were associated with the same traits in other breeds. The other associated SNPs have been reported previously for traits such as exterior, health, meat and carcass, production, and reproduction traits. No association could be detected between DGAT1 and other known milk genes with milk production traits despite the close relationship between DSN and Holstein. The results of this study confirmed that many SNPs identified in other breeds as associated with milk traits also affect milk traits in dual-purpose DSN cattle and can be used for further genetic analysis to identify genes and causal variants that affect milk production in DSN cattle.


Author(s):  
Alok Kumar Yadav ◽  
Anupama Mukherjee ◽  
Suchit Kumar

PCR-RFLP analysis of PCR products were carried out using Aci I / SSi I for 100 Sahiwal and 115 Karan Fries cattle. In Sahiwal cattle and Karan Fries cattle, 438bp has three genotypes AA (438), AB (438+299+139 bp) and BB (299+139 bp). In Sahiwal cattle these genotypes are highly significant for FL305DPY but in Karan Fries cattle these genotypes are highly significant for FL305DMY, FLTMY, FL305DFY and FL305DPY. In Sahiwal cattle, mean ± SE of AA genotype for FL305DMY, FLTMY, FL305DFY, FL305DSNFY, FL305DPY were 1809.90 ± 15.7 kg, 2029.4 ± 15.6 kg, 99.90 ± 0.66 kg, 154.87 ± 0.17 kg and 44.81 ± 0.06 kg, respectively and for AB genotype were 1800.76 ± 9.48 kg, 1993.99 ± 9.42 kg, 100.54 ± 0.39 kg, 154.79 ± 0.10 kg, 43.99 ± 0.04 kg, respectively and for BB genotype were 1830.0 ± 14.10 kg, 2032.80 ± 14.0 kg, 100.24 ± 0.59 kg, 155.11 ± 0.15 kg, 42.98 ± 0.05 kg, respectively. Heterozygous AB genotype was found to be superior for, FL305DFY trait. AA genotype was significantly superior for FL305DPY traits whereas BB genotype was found to be superior for FL305DMY, FLTMY, FL305DSNFY. In Karan Fries cattle, the mean ± SE of AA genotype for FL305DMY, FLTMY, FL305DFY, FL305DSNFY, FL305DPY were 3442.17 ± 8.39 kg, 4461.93 ± 8.39 kg, 124.96 ± 7.20 kg, 277.35 ± 0.08 kg and 112.51 ± 0.08 kg, respectively and for AB genotype were 3572.69 ± 5.93 kg, 4592.45 ± 5.93 kg, 140.17 ± 5.09 kg, 278.60 ± 0.06 kg, 113.91 ± 0.05 kg, respectively and for BB genotypes were 3502.41 ± 9.19 kg, 4522.17 ± 9.19 kg, 136.91 ± 7.89 kg, 277.93 ± 0.09 kg, 113.19 ± 0.08 kg, respectively.


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