scholarly journals Genetic Association of PPARGC1A Gene Single Nucleotide Polymorphism with Milk Production Traits in Italian Mediterranean Buffalo

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Seyed Mahdi Hosseini ◽  
Ye Tingzhu ◽  
Majid Pasandideh ◽  
Aixin Liang ◽  
Guohua Hua ◽  
...  

PPARGC1A gene plays an important role in the activation of various important hormone receptors and transcriptional factors involved in the regulation of adaptive thermogenesis, gluconeogenesis, fiber-type switching in skeletal muscle, mitochondrial biogenesis, and adipogenesis, regulating the reproduction and proposed as a candidate gene for milk-related traits in cattle. This study identified polymorphisms in the PPARGC1A gene in Italian Mediterranean buffaloes and their associations to milk production and quality traits (lactation length, peak milk yield, fat and protein yield, and percentage). As a result, a total of seven SNPs (g.-78A>G, g.224651G>C, g.286986G>A, g.304050G>A, g.325647G>A, g.325817T>C, and g.325997G>A) were identified by DNA pooled sequencing. Analysis of productivity traits within the genotyped animals revealed that the g.286986G>A located at intron 4 was associated with milk production traits, but the g.325817T>C had no association with milk production. Polymorphisms in g.-78A>G was associated with peak milk yield and milk yield, while g.304050G>A and g.325997 G>A were associated with both milk yield and protein percentage. Our findings suggest that polymorphisms in the buffalo PPARGC1A gene are associated with milk production traits and can be used as a candidate gene for milk traits and marker-assisted selection in the buffalo breeding program.

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.


1998 ◽  
Vol 66 (2) ◽  
pp. 307-318 ◽  
Author(s):  
A. Dahlin ◽  
U. N. Khan ◽  
A. H. Zafar ◽  
M. Saleem ◽  
M. A. Chaudhry ◽  
...  

AbstractData from about 4000 Sahiwal cows from eight large herds in Pakistan were used to study the influence of genetic and environmental factors on some milk production traits. First-lactation mean values were 1363 kg, 1395 kg and 252 days for milk yield up to 305 days after calving, total lactation yield and lactation length, respectively. Second and third lactation yields were proportionately 0·12 and 0·18 higher, respectively, at 305 days. The effect of herd-year at calving was by far the most important source of variation for all traits. Heritabilities estimated in uni- and trivariate analyses, using restricted maximum likelihood (REML) with an expectation maximization algorithm for an animal model, ranged from 0·14 to 0·17 for first-lactation traits. The estimates were generally lower for second lactation and higher for third lactation traits. Genetic correlation between lactations for the same trait were close to unity, whilst the phenotypic were considerably lower. Repeatabilities for milk yield traits were 0·42 and for lactation length 0·31. Genetic and phenotypic correlations between first-lactation 305-day milk yield and lactation length were 0·83 and 0·71, respectively. Genetic trends for all traits were close to zero but a substantial deterioration in performance, caused by negative environmental factors, was observed. Although the heritabilities were low, the prospects for genetic improvement are good, as indicated by a rather large additive genetic variation. A multivariate animal model, including the first three lactations of 305-day milk yield, was recommended for the most accurate prediction of breeding values for milk production.


Author(s):  
Andrea Szentléleki ◽  
Jeremy Hervé ◽  
Ferenc Pajor ◽  
Daniel Falta ◽  
János Tőzsér

The aim of this study was to evaluate the change of temperament of Holstein cows scored before and during milking during the entire lactation and to calculate correlation between temperament measured in the two moments as well as milk production traits and temperament. Observations were carried out on 17 primiparous Holstein Friesian cows starting their lactation within 85 days. Measurements of temperament and milk production traits were taken once in each month of the lactation, during the morning milking, in a milking parlour. Temperament was assessed in a 5-point scale during udder preparation and milking procedure (1: very nervous, 5: very quiet). Data of milk yield and milk flow were collected individually on each test day morning. Results showed changes during the lactation in temperament of cows scored directly before milking (P < 0.01), however, temperament during milking did not alter with months (P > 0.10). By correlation coefficients, behaviour assessed in the two moments cannot be regarded as the same. In addition loose, significant relations were found only between milk traits and temperament before milking.


2020 ◽  
Vol 17 (2) ◽  
pp. 141-154 ◽  
Author(s):  
F Ferdous ◽  
MP Choudhury ◽  
MO Faruque ◽  
MM Hossain ◽  
AKFH Bhuiyan

The current study was carried out using data of the Nucleus Herd and Community Herd of Red Chittagong Cattle (RCC) established through USDA funded Red Chittagong Cattle project under the Department of Animal Breeding and Genetics, BAU, Mymensingh. Data on 151 calves and 75 lactating cows were analyzed. The estimated heritability values were 0.45 ± 0.05 for birth weight, 0.48 ± 0.05 for weaning weight, 0.41 ± 0.08 for pre-weaning daily gain, 0.47 ± 0.06 for lactation length, 0.43 ± 0.07 for lactation milk yield and 0.35 ± 0.09 for average daily milk yield. The highest Breeding Value (BV) were for birth weight (3.2 kg), weaning weight (24.46 kg), pre-weaning daily gain (82.39g), lactation length (52.25 days), lactation milk yield (186.04 kg) and average daily milk yield (0.66 kg). The minimum and maximum phenotypic index values by using phenotypic parameters were for growth traits (1196.24 and 4713.24) and milk production traits (8573.93 and 40670.81). The minimum and maximum genetic index values by using breeding values were for growth traits (1812.49 and 2870.21) and milk production traits (-1812.49 and 2870.21). All the estimated index values can be used in animal selection and breeding programs for RCC improvement and similar index selection can be applied for other indigenous cattle development programs in Bangladesh or elsewhere. SAARC J. Agri., 17(2): 141-154(2019)


Author(s):  
Nawal Kishor Pareek ◽  
K. J. Ankuya ◽  
M. P. Patel ◽  
B. S. Rathod ◽  
K. B. Prajapati

The present investigation was undertaken to study the effect of non-genetic factors, viz., service period (SP), dry period (DP) and gestation period (GP) on various milk production traits in Kankrej cattle. 1235 lactation records (2nd-7th) of 475 Kankrej cows, progeny of 75 bulls that were maintained at University Livestock Research Station, Sardarkrushinagar (Gujarat), calved during 1980-2014, were studied. The effects of service period (111.64 ± 52.55 days) and dry period (143.17±28.78 days) on total lactation milk yield (2089.45±582.38 kg),305 days milk yield (2045.66±531.92 kg) and lactation length (282.90±49.46 days) were highly significant (pis less than 0.01), while the effect of gestation period (288.86±7.14 days) was non-significant on all these production traits. Cows which took more time to conceive after parturition produced more milk with longer lactation length


2008 ◽  
Vol 51 (5) ◽  
pp. 498-506 ◽  
Author(s):  
H. Deger Oral Toplu ◽  
A. Altinel

Abstract. This study was conducted to investigate the reproductive performance, milk yield, hair production, fleece characteristics and body weight after shearing of Hair goats (Anatolian Black Goats), bred under extensive conditions in Turkey. The material of the study was formed a total data of 456 Hair goats, which were between 2 and 7 years of age bred in the period of two years. Conception rate, infertility rate, abortion rate, kidding rate, single birth rate, twin birth rate, the percentage of kids born according to mated does and litter size were 97.81 %, 2.19 %, 3.59 %, 94.30 %, 97.91 %, 2.09 %, 96.27 % and 1.02, respectively. Lactation length, milk yield in lactation period, milking period and milk yield in milking period of goats were determined as 232.29 days, 100.92 kg, 132.09 days and 43.14 kg, respectively. Hair production, fibre diameter and staple length of Hair goats in the study were determined as 381.00 g, 76.70 micrones and 13.63 cm, respectively. It was found that the effects of production year and farm on the reproductive traits given by percentage weren’t statistically significant, whereas the difference among production years for litter size was significant. It was found that the effect of production year on milk production traits except for lactation length and on the hair production; the effect of farm factor on the hair production, staple length and live weigth after shearing; the effect of age on the milk production traits, hair production traits and live weight after shearing; the effect of live weight on the hair production were statistically significant (p<0.05).


1981 ◽  
Vol 32 (2) ◽  
pp. 165-170 ◽  
Author(s):  
V. Buvanendran ◽  
M. B. Olayiwole ◽  
K. I. Piotrowska ◽  
B. A. Oyejola

ABSTRACTA study was made of the performance of different grades of Friesian × White Fulani crosses using 12 years' records from 1967 to 1978. Milk yield increased progressively with increases in the proportion of Friesian genes. Lactation length also showed a similar trend, with a difference between 1/2 and 7/8 grades of 41 days. Calving intervals averaged approximately 390 days and did not differ among grades. Calf mortality was high, varying from 16 to 29%. The optimal genetic contribution from the Friesian for this environment is considered to be higher than 75 %


2017 ◽  
Vol 84 (4) ◽  
pp. 430-433 ◽  
Author(s):  
Jun Li ◽  
Aixin Liang ◽  
Zipeng Li ◽  
Chao Du ◽  
Guohua Hua ◽  
...  

This Research Communication describes the association between genetic variation within the prolactin (PRL) gene and the milk production traits of Italian Mediterranean river buffalo (Bufala mediterranea Italiana). High resolution melting (HRM) techniques were developed for genotyping 465 buffaloes. The association of genetic polymorphism with milk production traits was performed and subsequently the effects of parity and calving season were evaluated. Single nucleotide polymorphisms (SNPs) were identified at exons 2 and 5 and at introns 1 and 2. All the SNPs were in Hardy–Weinberg equilibrium, and statistical analysis showed that the polymorphism of intron1 was significantly (P < 0·05) associated with milk yield, milk protein content and peak milk yield. The average contribution of the intron1 genotype (r2intron1) to total phenotypic variance in milk production traits was 0·09, and the TT genotype showed lower values than CC and CT genotypes. A nonsynonymous SNP was identified in exon 2, which resulted in an amino acid change from arginine to cysteine. Moreover, the polymorphism of exon 2 was associated significantly with milk fat content (P < 0·05), and the buffaloes with TT genotype showed higher total fat content than the buffaloes with CT genotype. These findings provide evidence that polymorphisms of the buffalo PRL gene are associated with milk production traits and PRL can be used as a candidate gene for marker-assisted selection in Italian Mediterranean river buffalo breeding.


Genetics ◽  
1996 ◽  
Vol 144 (4) ◽  
pp. 1809-1816 ◽  
Author(s):  
Jianbo Yao ◽  
Samuel E Aggrey ◽  
David Zadworny ◽  
J Flan Hayes ◽  
Urs Kühnlein

Sequence variations in the bovine growth hormone (GH) gene were investigated by single strand conformation polymorphism (SSCP) analysis of seven amplified fragments covering almost the entire gene (2.7 kb). SSCPs were detected in four of these fragments and a total of six polymorphisms were found in a sample of 128 Holstein bulls. Two polymorphisms, a T→C transition in the third intron (designated GH4.1) and an A→C transversion in the fifth exon (designated GH6.2), were shown to be associated with milk production traits. GH4.1c/GH4.1c bulls had higher milk yield than GH4.1c/GH4.1t (P ≤ 0.005) and GH4.1t/GH4.1t (P ≤ 0.0022) bulls. GH4.1c/GH4.1c bulls had higher kg fat (P ≤ 0.0076) and protein (P ≤ 0.0018) than GH4.1c/GH4.1t bulls. Similar effects on milk production traits with the GH6.2 polymorphism were observed with the GH6.2a allele being the favorable allele. The average effects of the gene substitution for GH4.1 and GH6.2 are similar, with ±300 kg for milk yield, ±8 kg for fat content and ±7 kg for protein content per lactation. The positive association of GH4.1c and GH6.2a with milk production traits may be useful for improving milk performance in dairy cattle.


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