scholarly journals Detection of Mastitis in Dairy Cattle by Use of Mixture Models for Repeated Somatic Cell Scores: A Bayesian Approach via Gibbs Sampling

2003 ◽  
Vol 86 (11) ◽  
pp. 3694-3703 ◽  
Author(s):  
J. Ødegård ◽  
J. Jensen ◽  
P. Madsen ◽  
D. Gianola ◽  
G. Klemetsdal ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Mixture Models ◽  
Gibbs Sampling ◽  
Bayesian Approach

Comparison of milk production, mastitis, lameness and days to conception of Brown Swiss, Holstein and Holstein cross Brown Swiss dairy cattle

2006 ◽  
Vol 2006 ◽  
pp. 86-86
Author(s):  
G Wellwood ◽  
J K Margerison
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Milk Production ◽  
Milk Yield ◽  
Complex Disease ◽  
Economic Loss ◽  
Brown Swiss ◽  
Somatic Cell Counts ◽  
Cell Counts ◽  
Holstein Friesian

Mastitis is a complex disease causing inflammation of the udder, which has been estimated to cost the dairy farmer between £40-£117/cow per year (Stott et al., 2002). Economic loss occurs as a result of discarded milk, reduced milk yield and milk quality, increased vet costs and an increase in replacement costs. The objective of this study was to examine the effect of breed on the incidence of mastitis and somatic cell counts and milk production capabilities of Holstein Friesian, Brown Swiss and Brown Swiss crossbred cows.

scholarly journals Effect of high somatic cell counts on reproductive performance of Chilean dairy cattle

2009 ◽  
Vol 92 (4) ◽  
pp. 1575-1580 ◽  
Author(s):  
P.J. Pinedo ◽  
P. Melendez ◽  
J.A. Villagomez-Cortes ◽  
C.A. Risco
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Reproductive Performance ◽  
Somatic Cell Counts ◽  
Cell Counts

A Numerical Bayesian Approach to Spatial Data Analysis

1997 ◽  
Vol 47 (3-4) ◽  
pp. 181-198
Author(s):  
Indranil Mukherjee ◽  
Himadri Ghosh ◽  
Aditya Chatterjee
Keyword(s):  
Data Analysis ◽  
Gibbs Sampling ◽  
Bayesian Approach ◽  
Spatial Data ◽  
Bayesian Method ◽  
Spatial Data Analysis ◽  
Scientific Investigations ◽  
Sampling Approach

Investigators in diverse fields of scientific investigations (specially the geo-statisticians) have long been concerned with the so called Regionalised Variable (ReV) or variables whose values are in some way related to their positions in space. In such situations it becomes sometimes necessary to estimate the values for certain measures based on the ReV over some suitable blocking or redivision of the space. In thls paper we deliniate a numerical Bayesian method based on the Gibbs sampling approach towards solving this class of problems whlch is capable of being tuned to various situations arising in the geological and other investigations dealing with ReVs. The paper deals with the problem of estimating the volume of an accumulation, from a data comprising of heights of the accumulation at random points, in some details and also reports the results of a few numerical applications of the methodology developed.

167 Genetic and genomic estimation for somatic cell score in relation with milk production traits of Russian Holstein dairy cattle

2017 ◽  
Vol 95 (suppl_4) ◽  
pp. 82-83 ◽  
Author(s):  
A. A. Sermyagin ◽  
E. A. Gladyr' ◽  
A. A. Kharzhau ◽  
K. V. Plemyashov ◽  
E. N. Tyurenkova ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Milk Production ◽  
Somatic Cell Score ◽  
Production Traits ◽  
Milk Production Traits

scholarly journals Heritability of Teat Condition in Italian Holstein Friesian and Its Relationship with Milk Production and Somatic Cell Score

Animals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2271
Author(s):  
Francesco Tiezzi ◽  
Antonio Marco Maisano ◽  
Stefania Chessa ◽  
Mario Luini ◽  
Stefano Biffani
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Milk Yield ◽  
Genetic Factors ◽  
Genetic Correlations ◽  
Somatic Cell Score ◽  
Cattle Industry ◽  
Holstein Friesian ◽  
Selection For ◽  
Current Selection

In spite of the impressive advancements observed on both management and genetic factors, udder health still represents one of most demanding objectives to be attained in the dairy cattle industry. Udder morphology and especially teat condition might represent the first physical barrier to pathogens’ access. The objectives of this study were to investigate the genetic component of teat condition and to elucidate its relationship with both milk yield and somatic cell scores in dairy cattle. Moreover, the effect of selection for both milk yield and somatic cell scores on teat condition was also investigated. A multivariate analysis was conducted on 10,776 teat score records and 30,160 production records from 2469 Italian Holstein cows. Three teat scoring traits were defined and included in the analysis. Heritability estimates for the teat score traits were moderate to low, ranging from 0.084 to 0.238. When teat score was based on a four-classes ordinal scoring, its genetic correlation with milk yields and somatic cell score were 0.862 and 0.439, respectively. The scale used to classify teat-end score has an impact on the magnitude of the estimates. Genetic correlations suggest that selection for milk yield could deteriorate teat health, unless more emphasis is given to somatic cell scores. Considering that both at national and international level, the current selection objectives are giving more emphasis to health traits, a further genetic deterioration in teat condition is not expected.

Sign in / Sign up

Export Citation Format

Share Document