Genetic parameters for total lactation yields of milk, fat, protein, and somatic cell score in New Zealand dairy goats

2019 ◽  
Vol 91 (1) ◽  
Author(s):  
Megan R. Scholtens ◽  
Nicolas Lopez‐Villalobos ◽  
Dorian Garrick ◽  
Hugh Blair ◽  
Klaus Lehnert ◽  
...  
Keyword(s):  
New Zealand ◽  
Somatic Cell ◽  
Milk Fat ◽  
Genetic Parameters ◽  
Somatic Cell Score ◽  
Dairy Goats

scholarly journals Advantage of including Genomic Information to Predict Breeding Values for Lactation Yields of Milk, Fat, and Protein or Somatic Cell Score in a New Zealand Dairy Goat Herd

Animals ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Megan Scholtens ◽  
Nicolas Lopez-Villalobos ◽  
Klaus Lehnert ◽  
Russell Snell ◽  
Dorian Garrick ◽  
...  
Keyword(s):  
New Zealand ◽  
Somatic Cell ◽  
Milk Fat ◽  
Single Step ◽  
Somatic Cell Score ◽  
Dairy Goat ◽  
Nucleotide Polymorphisms ◽  
Genomic Information ◽  
Breeding Values ◽  
Goat Population

Selection on genomic breeding values (GBVs) is now readily available for ranking candidates in improvement schemes. Our objective was to quantify benefits in terms of accuracy of prediction from including genomic information in the single-trait estimation of breeding values (BVs) for a New Zealand mixed breed dairy goat herd. The dataset comprised phenotypic and pedigree records of 839 does. The phenotypes comprised estimates of 305-day lactation yields of milk, fat, and protein and average somatic cell score from the 2016 production season. Only 388 of the goats were genotyped with a Caprine 50K SNP chip and 41,981 of the single nucleotide polymorphisms (SNPs) passed quality control. Pedigree-based best linear unbiased prediction (PBLUP) was used to obtain across-breed breeding values (EBVs), whereas a single-step BayesC model (ssBC) was used to estimate across-breed GBVs. The average prediction accuracies ranged from 0.20 to 0.22 for EBVs and 0.34 to 0.43 for GBVs. Accuracies of GBVs were up to 103% greater than EBVs. Breed effects were more reliably estimated in the ssBC model compared with the PBLUP model. The greatest benefit of genomic prediction was for individuals with no pedigree or phenotypic records. Including genomic information improved the prediction accuracy of BVs compared with the current pedigree-based BLUP method currently implemented in the New Zealand dairy goat population.

scholarly journals Genetic parameters of weeping teats in Italian Saanen and Alpine dairy goats and their relationship with milk production and somatic cell score

2020 ◽  
Vol 103 (10) ◽  
pp. 9167-9176 ◽  
Author(s):  
Stefano Biffani ◽  
Francesco Tiezzi ◽  
Pancrazio Fresi ◽  
Alessandra Stella ◽  
Giulietta Minozzi
Keyword(s):  
Somatic Cell ◽  
Milk Production ◽  
Genetic Parameters ◽  
Somatic Cell Score ◽  
Dairy Goats

scholarly journals Genomic prediction of lactation curves for milk, fat, protein, and somatic cell score in Holstein cattle

2019 ◽  
Vol 102 (1) ◽  
pp. 452-463 ◽  
Author(s):  
H.R. Oliveira ◽  
L.F. Brito ◽  
F.F. Silva ◽  
D.A.L. Lourenco ◽  
J. Jamrozik ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Genomic Prediction ◽  
Milk Fat ◽  
Somatic Cell Score ◽  
Holstein Cattle

scholarly journals Milk, Fat, Protein, Somatic Cell Score, and Days Open Among Holstein, Brown Swiss, and Their Crosses

2007 ◽  
Vol 90 (7) ◽  
pp. 3542-3549 ◽  
Author(s):  
C.D. Dechow ◽  
G.W. Rogers ◽  
J.B. Cooper ◽  
M.I. Phelps ◽  
A.L. Mosholder
Keyword(s):  
Somatic Cell ◽  
Milk Fat ◽  
Somatic Cell Score ◽  
Brown Swiss ◽  
Days Open

scholarly journals Genetic parameters of test-day somatic cell scores for the first three lactations of Polish Holstein-Friesian cattle

2011 ◽  
Vol 56 (No. 9) ◽  
pp. 381-389 ◽  
Author(s):  
K. Rzewuska ◽  
J. Jamrozik ◽  
A. Żarnecki ◽  
T. Strabel
Keyword(s):  
Somatic Cell ◽  
Bayesian Methods ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Large Data ◽  
Somatic Cell Score ◽  
Data Set ◽  
Holstein Friesian ◽  
Covariance Components ◽  
Friesian Cattle

 Genetic parameters for somatic cell score in the first three lactations of Polish Holstein-Friesian cattle were estimated. A multiple-lactation model was applied with random herd-test-day effect, fixed regressions for herd-year and age-season of calving, and random regressions for the additive genetic and permanent environmental effects. The large data set was used that included over one million test-day records and more than 58 000 cows. Estimates of covariance components and genetic parameters were obtained by Bayesian methods using the Gibbs sampler. Average daily heritabilities of somatic cell score (SCS) in the first three lactations were 0.11, 0.12 and 0.14 for the first, second and third lactation, respectively. Estimates of daily heritabilities were rather independent of days in milk (DIM), with no serious abnormalities at the beginning or the end of lactation. Average genetic correlations between SCS on the same DIM were 0.68, 0.62 and 0.70 for first and second, first and third, and second and third parities, respectively, and did not exceed 0.77. The low level of heritability estimates and relatively low genetic correlations between lactations would suggest that selection based on the first lactation only could limit a response in mastitis resistance for later lactations.

scholarly journals L-selectin gene polymorphism and its association with clinical mastitis, somatic cell score, and milk production in Polish Holstein-Friesian cattle

2018 ◽  
Vol 63 (No. 7) ◽  
pp. 256-262 ◽  
Author(s):  
M. Dusza ◽  
J. Pokorska ◽  
J. Makulska ◽  
D. Kulaj ◽  
M. Cupial
Keyword(s):  
Somatic Cell ◽  
Milk Production ◽  
Milk Fat ◽  
Bacterial Infections ◽  
Clinical Mastitis ◽  
Somatic Cell Score ◽  
Production Traits ◽  
Milk Production Traits ◽  
Holstein Friesian ◽  
Friesian Cows

Bovine mastitis is a widespread disease of the mammary gland, highly contributing to the increase in veterinary costs in dairy industry. In the present study, the genetic polymorphism within bovine L-selectin gene was analysed and its impact on clinical mastitis occurrence, somatic cell score (SCS), and milk production traits in Polish Holstein-Friesian cows was examined. Polymorphism within L-selectin gene, molecule responsible for neutrophil attachment to endothelium, might have a potential role in immune response to bacterial infections and udder health. Two hundred and six Polish Holstein-Friesian cows were genotyped by polymerase chain reaction-restriction fragment length polymorphism method. Two single nucleotide polymorphisms mutations within the coding sequence of L-selectin gene were identified (c.165G>A and c.567C>T). The effect of c.165G>A and c.567C>T mutations on SCS was highly significant (P = 0.0019 and P = 0.0003, respectively). Strong associations (P ≤ 0.0001) were also observed between L-selectin polymorphism and milk production traits (milk yield, milk fat percentage, and milk protein percentage). However, the polymorphism in the analysed gene had no influence on the resistance or susceptibility of cows to clinical mastitis (only the tendency toward significance, P = 0.06 for c.567C>T mutation was found). Potential exploitation of the information on the identified associations in genetic selection needs to confirm the obtained results in further investigations.

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