Effect of Breed and Some Non - Genetic Factors on Milk Production and Some Proportions of Its Chemical Components in Two Breeds of Local Sheep

2020 ◽  
Vol 10 (1) ◽  
pp. 227-231
Author(s):  
Rahman Hussein AL-Qasimi ◽  
Shatha Mohammed Abbas ◽  
Allawi L.D. AL-Khauzai
Keyword(s):  
Milk Production ◽  
Genetic Factors ◽  
Chemical Components ◽  
Lactation Period ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Awassi Sheep ◽  
Total Milk ◽  
Milk Components

The study was carried out on 19 ewes of local Awassi sheep and 12ewes local Arabi sheep in the Al-kafeel sheep station Karbala, to determine the effect of breed and some non-genetic factors such as (sex of the lamb, type of birth, age and weight of ewes at birth) on daily and total milk production and lactation period and some of milk components (fat, protein and lactose). The results showed that a significant effect (P <0.05) of the breed on milk production traits where Awassi sheep recorded the highest mean (0.91 kg , 101.63 kg , 104.86 day) compared to the Arabi sheep she was means (0.77 kg , 88.15 kg , 99.15 day) respectively. As well as in proportions of milk components with mean( 5.1 , 4.90 , 5.51) % respectively compared to the Arabi sheep (4.70 . 4.20 . 4.89) ewes with male lambs also exceeded superior ewes with female lambs in daily and total milk production and the lactation period the sex of the lamb did not affect the proportions of milk components the weight of the ewes had a significant effect (P <0.05) in milk production attributes with superior weight of ewes on lower ewes and did not affect the proportions of milk ingredients except for lactose. The type of birth and the age of the ewes did not have a significant effect in all the studied traits except for the superiority (P<0.05) of young ewes on age ewes in the fat percentage of milk.

scholarly journals Genetic Analysis of Milk Production Traits and Mid-Infrared Spectra in Chinese Holstein Population

Animals ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 139
Author(s):  
Chao Du ◽  
Liangkang Nan ◽  
Lei Yan ◽  
Qiuyue Bu ◽  
Xiaoli Ren ◽  
...  
Keyword(s):  
Milk Production ◽  
Genetic Factors ◽  
Genetic Correlations ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Mid Infrared ◽  
Lactation Stage ◽  
Calving Season ◽  
Holstein Population

Milk composition always serves as an indicator for the cow’s health status and body condition. Some non-genetic factors such as parity, days in milk (DIM), and calving season, which obviously affect milk performance, therefore, need to be considered in dairy farm management. However, only a few milk compositions are used in the current animal selection programs. The mid-infrared (MIR) spectroscopy can reflect the global composition of milk, but this information is currently underused. The objectives of this study were to detect the effect of some non-genetic factors on milk production traits as well as 1060 individual spectral points covering from 925.92 cm−1 to 5011.54 cm−1, estimate heritabilities of milk production traits and MIR spectral wavenumbers, and explore the genetic correlations between milk production traits and 1060 individual spectral points in a Chinese Holstein population. The mixed models procedure of SAS software was used to test the non-genetic factors. Single-trait animal models were used to estimate heritabilities and bivariate animal models were used to estimate genetic correlations using the package of ASReml in R software. The results showed that herd, parity, calving season, and lactation stage had significant effects on the percentages of protein and lactose, whereas herd and lactation stage had significant effects on fat percentage. Moreover, the herd showed a significant effect on all of the 1060 individual wavenumbers, whereas lactation stage, parity, and calving season had significant effect on most of the wavenumbers of the lactose-region (925 cm−1 to 1200 cm−1), protein-region (1240 cm−1 to 1600 cm−1), and fat-regions (1680 cm−1 to 1770 cm−1 and 2800 cm−1 to 3015 cm−1). The estimated heritabilities for protein percentage (PP), fat percentage (FP), and lactose percentage (LP) were 0.08, 0.05, and 0.09, respectively. Further, the milk spectrum was heritable but low for most individual points. Heritabilities of 1060 individual spectral points were 0.04 on average, ranging from 0 to 0.11. In particular, heritabilities for wavenumbers of spectral regions related to water absorption were very low and even null, and heritabilities for wavenumbers of specific MIR regions associated with fat-I, fat-II, protein, and lactose were 0.04, 0.06, 0.05, and 0.06 on average, respectively. The genetic correlations between PP and FP, PP and LP, FP, and LP were 0.78, −0.29, and −0.14, respectively. In addition, PP, FP, and LP shared the similar patterns of genetic correlations with the spectral wavenumbers. The genetic correlations between milk production traits and spectral regions related to important milk components varied from weak to very strong (0.01 to 0.94, and −0.01 to −0.96). The current study could be used as a management tool for dairy farms and also provides a further understanding of the genetic background of milk MIR spectra.

scholarly journals Evaluation of DGAT1-exon 8 K232A substitution in Gir and Kankrej (Bos indicus), Indian origin cattle and its association with milk production traits

Genetika ◽  
2017 ◽  
Vol 49 (2) ◽  
pp. 627-634
Author(s):  
Jainikkumar Patel ◽  
Jenabhai Chauhan
Keyword(s):  
Allele Frequency ◽  
Milk Production ◽  
Bos Indicus ◽  
Cattle Breed ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Indian Origin ◽  
Dgat1 Gene ◽  
Total Milk

The aim of the present study was to screen the genotype profile of bovine DGAT1 gene among Gir and Kankrej cattle in Gujarat, India. Total number of 200 Gir cattle and 100 Kankrej cattle were evaluated for CfrI-RFLP based genotyping of DGAT1 gene. We observed that only two genotypes (KK and KA) exist among the studied population with the alleles frequency of 0.925 (n=170) and 0.075 (n=30), respectively for K and A in Gir cattle as well as 0.895 (n=79) and 0.105 (n=21) respectively in Kankrej cattle. The overall calculated allele frequency for K and A was 0.915 and 0.085, respectively in both zebu (Bos indicus) cattle. Association of genotypes with milk production traits revealed that KA had significant (P<0.05) effect on total milk yield, as compared to KK in Gir and Kankrej cattle breed. Similarly, KK genotype had significant (P<0.05) effect on fat percentage, as compared to KA in Gir and Kankrej.

scholarly journals QTL mapping for production traits in Czech Fleckvieh cattle

2013 ◽  
Vol 58 (No. 9) ◽  
pp. 396-403 ◽  
Author(s):  
J. Matějíčková ◽  
M. Štípková ◽  
G. Sahana ◽  
T. Kott ◽  
J. Kyseľová ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Qtl Mapping ◽  
Milk Production ◽  
Variance Component ◽  
Variance Component Analysis ◽  
Production Traits ◽  
Milk Production Traits ◽  
Chromosome 14 ◽  
Fat Percentage ◽  
Mapping Model

The objective of this study was to find QTL for milk production traits in Czech Fleckvieh cattle on chromosomes 6, 7, 11, 14, and 23 where QTL were previously identified in other dairy cattle populations. Sixteen grandsire families were genotyped for 38 microsatellite markers on the selected chromosomes. A QTL mapping model based on variance component analysis was implemented via restricted maximum likelihood (REML) to estimate QTL positions and their effects. A significant QTL affecting fat percentage was found at the beginning of chromosome 14 (0 cM), near marker ILSTS039. Suggestive QTL associated with milk production traits appeared on other studied chromosomes (BTA6, BTA7, BTA11, and BTA23). This first QTL search on five chromosomes in Czech Fleckvieh population showed several suggestive QTL that can be promising for further studies and contribute to better understanding of genetics of milk production in the Czech Fleckvieh cattle. &nbsp;

Using quantile regression for fitting lactation curve in dairy cows

2019 ◽  
Vol 86 (1) ◽  
pp. 19-24
Author(s):  
Hossein Naeemipour Younesi ◽  
Mohammad Mahdi Shariati ◽  
Saeed Zerehdaran ◽  
Mehdi Jabbari Nooghabi ◽  
Peter Løvendahl
Keyword(s):  
Quantile Regression ◽  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Information Criterion ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Breeding Center

AbstractThe main objective of this study was to compare the performance of different ‘nonlinear quantile regression’ models evaluated at theτth quantile (0·25, 0·50, and 0·75) of milk production traits and somatic cell score (SCS) in Iranian Holstein dairy cows. Data were collected by the Animal Breeding Center of Iran from 1991 to 2011, comprising 101 051 monthly milk production traits and SCS records of 13 977 cows in 183 herds. Incomplete gamma (Wood), exponential (Wilmink), Dijkstra and polynomial (Ali & Schaeffer) functions were implemented in the quantile regression. Residual mean square, Akaike information criterion and log-likelihood from different models and quantiles indicated that in the same quantile, the best models were Wilmink for milk yield, Dijkstra for fat percentage and Ali & Schaeffer for protein percentage. Over all models the best model fit occurred at quantile 0·50 for milk yield, fat and protein percentage, whereas, for SCS the 0·25th quantile was best. The best model to describe SCS was Dijkstra at quantiles 0·25 and 0·50, and Ali & Schaeffer at quantile 0·75. Wood function had the worst performance amongst all traits. Quantile regression is specifically appropriate for SCS which has a mixed multimodal distribution.

scholarly journals Associations between polymorphisms of SLC22A7, NGFR, ARNTL and PPP2R2B genes and Milk production traits in Chinese Holstein

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ruike Jia ◽  
Yihan Fu ◽  
Lingna Xu ◽  
Houcheng Li ◽  
Yanhua Li ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Association Analysis ◽  
Milk Yield ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Fat Yield ◽  
Percentage Protein

Abstract Background Our preliminary work confirmed that, SLC22A7 (solute carrier family 22 member 7), NGFR (nerve growth factor receptor), ARNTL (aryl hydrocarbon receptor nuclear translocator like) and PPP2R2B (protein phosphatase 2 regulatory subunit Bβ) genes were differentially expressed in dairy cows during different stages of lactation, and involved in the lipid metabolism through insulin, PI3K-Akt, MAPK, AMPK, mTOR, and PPAR signaling pathways, so we considered these four genes as the candidates affecting milk production traits. In this study, we detected polymorphisms of the four genes and verified their genetic effects on milk yield and composition traits in a Chinese Holstein cow population. Results By resequencing the whole coding region and part of the flanking region of SLC22A7, NGFR, ARNTL and PPP2R2B, we totally found 20 SNPs, of which five were located in SLC22A7, eight in NGFR, three in ARNTL, and four in PPP2R2B. Using Haploview4.2, we found three haplotype blocks including five SNPs in SLC22A7, eight in NGFR and three in ARNTL. Single-SNP association analysis showed that 19 out of 20 SNPs were significantly associated with at least one of milk yield, fat yield, fat percentage, protein yield or protein percentage in the first and second lactations (P < 0.05). Haplotype-based association analysis showed that the three haplotypes were significantly associated with at least one of milk yield, fat yield, fat percentage, protein yield or protein percentage (P < 0.05). Further, we used SOPMA software to predict a SNP, 19:g.37095131C > T in NGFR, changed the structure of NGFR protein. In addition, we used Jaspar software to found that four SNPs, 19:g.37113872C > G,19:g.37113157C > T, and 19:g.37112276C > T in NGFR and 15:g.39320936A > G in ARNTL, could change the transcription factor binding sites and might affect the expression of the corresponding genes. These five SNPs might be the potential functional mutations for milk production traits in dairy cattle. Conclusions In summary, we proved that SLC22A7, NGFR, ARNTL and PPP2R2B have significant genetic effects on milk production traits. The valuable SNPs can be used as candidate genetic markers for genomic selection of dairy cattle, and the effects of these SNPs on other traits need to be further verified.

scholarly journals Genomic Loci Affecting Milk Production in German Black Pied Cattle (DSN)

2021 ◽  
Vol 12 ◽  
Author(s):  
Paula Korkuć ◽  
Danny Arends ◽  
Katharina May ◽  
Sven König ◽  
Gudrun A. Brockmann
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Lactation Period ◽  
Production Traits ◽  
Linear Regression Models ◽  
Milk Production Traits ◽  
Milk Traits ◽  
Dual Purpose ◽  
A Genome ◽  
Reproduction Traits

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.

Effect of DGAT1 and TG gene polymorphisms on intramuscular fat and on milk production traits in different cattle breeds in Hungary

2008 ◽  
Vol 56 (2) ◽  
pp. 181-186 ◽  
Author(s):  
István Anton ◽  
Katalin Kovács ◽  
László Fésüs ◽  
József Várhegyi ◽  
László Lehel ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Fat ◽  
Longissimus Dorsi ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Longissimus Dorsi Muscle ◽  
Cattle Breeds ◽  
Pcr Rflp ◽  
The Difference

The objective of this study was to estimate the effect of the thyroglobulin (TG) locus on beef quality traits in some beef cattle breeds and to investigate the effect of the DGAT1 locus on milk production traits in the Hungarian Holstein Friesian population. TG and DGAT1 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay. At the TG locus TT bulls showed the highest fat percentage values in the longissimus dorsi muscle (m. longissimus dorsi); the difference between CC and TT genotypes was significant. DGAT1 GC/GC cows had the highest milk, fat and protein yield values. Due to the relatively small number of GC/GC cows the difference proved to be significant only between AA/AA and AA/GC genotypes.

scholarly journals Role of Sex Chromatin on performance in the Arabi sheep

2017 ◽  
Vol 41 (1) ◽  
pp. 145-150
Author(s):  
Salim Omar Raoof
Keyword(s):  
Birth Weight ◽  
Milk Production ◽  
Fertility Rate ◽  
Lactation Period ◽  
Production Traits ◽  
Sex Chromatin ◽  
Total Milk ◽  
Daily Milk Production ◽  
Daily Milk

     This study was conducted on 122 Arabi sheep belonged to private flock in Erbil plain Kurdistan region- Iraq, from July/ 2014 to August/ 2015 for studying the role of sex chromatin on daily milk production, total milk production, lactation period, fertility rate, prolificacy, birth weight and fertilizes estrous sequences. The repeatability for the studied traits were estimated. The ratio of sex chromatin shapes drum stick, sessile nodule, tear drop and small club were 23.37%, 60.22%, 8.54% and 7.87% respectively.The overall means of daily milk production, total milk production, lactation period, birth weight, fertilize estrous sequences, fertility rate, and Prolificacy were 814.65 g 81.49 kg 103.53 day, 78.10%, 1.60, 3.84 kg and 1.50 respectively. Sex chromatin shapes had significant (P<0.05) effect on all traits studied. The results revealed that the estimation of the Repeatability coefficient for daily milk production was 0.42. It was concluded from this study that production traits (milk production and birth weight) and reproduction (fertility rate, prolificacy and fertilize estrous sequences) performance of Arabi sheep were significantly affected by the shapes and percentage of sex chromatin distribution and measurements. The sex chromatin shapes could be used as a tool for early selection of the elite individuals.

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