Literature DB >> 12613880

Genetic change for clinical mastitis in Norwegian cattle: a threshold model analysis.

B Heringstad1, R Rekaya, D Glanola, G Klemetsdal, K A Welgel.   

Abstract

Records of clinical mastitis on 1.6 million first-lactation daughters of 2,411 Norwegian Cattle sires that were progeny tested from 1978 through 1998 were analyzed with a threshold model. The main objective was to infer genetic change for the disease in the population. A Bayesian approach via Gibbs sampling was used. The model for the underlying liability had age at first calving, month x year of calving, herd x 3-year-period, and sire of the cow as explanatory variables. Posterior mean (SD) of heritability of liability to clinical mastitis was 0.066 (0.003). Genetic evaluations (posterior means) of sires both in the liability and observable scales were computed. Annual genetic change of liability to clinical mastitis for progeny tested bulls born from 1973 to 1993 was assessed. The linear regression of mean sire effect on year of birth had a posterior mean (SD) of -0.00018 (0.0004), suggesting a nearly constant genetic level for clinical mastitis. However, an analysis of sire posterior means by birth-year of daughters indicated an approximately constant genetic level in the cow population from 1976 to 1990 (-0.02%/yr), and a genetic improvement thereafter (-0.27%/yr). This reflects more emphasis on mastitis in selection of bulls in recent years. Corresponding results obtained with a standard linear model analysis were -0.01% and -0.23% per year, respectively (regression of sire predicted transmitting ability on birth-year of daughters). Genetic change seems to be slightly understated with the linear model, assuming the threshold model holds true.

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Year:  2003        PMID: 12613880     DOI: 10.3168/jds.s0022-0302(03)73615-7

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

Review 1.  Gene polymorphisms: the keys for marker assisted selection and unraveling core regulatory pathways for mastitis resistance.

Authors:  Gina M Pighetti; A A Elliott
Journal:  J Mammary Gland Biol Neoplasia       Date:  2011-10-14       Impact factor: 2.673

2.  Norwegian mastitis control programme.

Authors:  O Osterås; L Sølverød
Journal:  Ir Vet J       Date:  2009-04-01       Impact factor: 2.146

3.  A simple algorithm to estimate genetic variance in an animal threshold model using Bayesian inference.

Authors:  Jørgen Ødegård; Theo H E Meuwissen; Bjørg Heringstad; Per Madsen
Journal:  Genet Sel Evol       Date:  2010-07-22       Impact factor: 4.297

4.  Genetic evaluation of mastitis liability and recovery through longitudinal analysis of transition probabilities.

Authors:  Jessica Franzén; Daniel Thorburn; Jorge I Urioste; Erling Strandberg
Journal:  Genet Sel Evol       Date:  2012-04-04       Impact factor: 4.297

5.  Genome-wide association study in Chinese Holstein cows reveal two candidate genes for somatic cell score as an indicator for mastitis susceptibility.

Authors:  Xiao Wang; Peipei Ma; Jianfeng Liu; Qin Zhang; Yuan Zhang; Xiangdong Ding; Li Jiang; Yachun Wang; Yi Zhang; Dongxiao Sun; Shengli Zhang; Guosheng Su; Ying Yu
Journal:  BMC Genet       Date:  2015-09-15       Impact factor: 2.797

6.  A genome-wide association study for clinical mastitis in first parity US Holstein cows using single-step approach and genomic matrix re-weighting procedure.

Authors:  Francesco Tiezzi; Kristen L Parker-Gaddis; John B Cole; John S Clay; Christian Maltecca
Journal:  PLoS One       Date:  2015-02-06       Impact factor: 3.240

7.  Fine mapping of a QTL on bovine chromosome 6 using imputed full sequence data suggests a key role for the group-specific component (GC) gene in clinical mastitis and milk production.

Authors:  Hanne Gro Olsen; Tim Martin Knutsen; Anna M Lewandowska-Sabat; Harald Grove; Torfinn Nome; Morten Svendsen; Mariann Arnyasi; Marte Sodeland; Kristil K Sundsaasen; Sandra Rinne Dahl; Bjørg Heringstad; Hanne H Hansen; Ingrid Olsaker; Matthew Peter Kent; Sigbjørn Lien
Journal:  Genet Sel Evol       Date:  2016-10-19       Impact factor: 4.297

8.  The genomic architecture of mastitis resistance in dairy sheep.

Authors:  G Banos; G Bramis; S J Bush; E L Clark; M E B McCulloch; J Smith; G Schulze; G Arsenos; D A Hume; A Psifidi
Journal:  BMC Genomics       Date:  2017-08-16       Impact factor: 3.969

9.  Bayesian genomic models boost prediction accuracy for survival to Streptococcus agalactiae infection in Nile tilapia (Oreochromus nilioticus).

Authors:  Rajesh Joshi; Anders Skaarud; Alejandro Tola Alvarez; Thomas Moen; Jørgen Ødegård
Journal:  Genet Sel Evol       Date:  2021-04-21       Impact factor: 4.297

10.  Single Nucleotide Polymorphisms, Gene Expression and Economic Evaluation of Parameters Associated with Mastitis Susceptibility in European Cattle Breeds.

Authors:  Ahmed I Ateya; Samer S Ibrahim; Mona M Al-Sharif
Journal:  Vet Sci       Date:  2022-06-14
  10 in total

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