Multiple Trait Sire Evaluation on Parts of Lactation Milk Yield of Holstein Cows Using Best Linear Unbiased Prediction Procedures PDF Download
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Author: Kwaku Agyemang
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 404
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Book Description
Author: Kwaku Agyemang
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 404
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Book Description
Author: Bobby Dennis Banks
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 398
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Book Description
Author: John Andrew Brooke Robinson
Publisher: Ann Arbor, Mich. : University Microfilms International
ISBN:
Category : Cow testing
Languages : en
Pages : 206
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Book Description
Author: Brian Walter Wickham
Publisher:
ISBN:
Category : Artificial insemination
Languages : en
Pages : 210
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Book Description
Author: Susana L. Mirande
Publisher:
ISBN:
Category : Cow testing
Languages : en
Pages : 266
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Book Description
Author: Glen Raymond Ufford
Publisher:
ISBN:
Category : Dairy cattle
Languages : en
Pages : 254
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Author: Claudio Napolis Costa
Publisher:
ISBN:
Category :
Languages : en
Pages : 394
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Book Description
Genetic relationships between Brazilian and U.S.A. Holstein cattle populations were studies using firstlactation 305-d ME milk and fat records of 29,413 daughters of 705 sires in Brazil and 726,932 daughters of 701 sires in the U.S.A. There were 358 sires with daughter records in both countries. Data sets consisted of all herds and low and high herds stratified by within-year standar deviation for milk (HYSD) computed within counthin country. Components of (co) variance, heritability, and genetic correlations for milk and fat yields were estimated using three data groupings: all, low and high HYDS data sets form within-country and between-country bivariete and multivariate analyses, simutaneous milk and fat yields in both countries. A sire model was solved with a restricted Maximum Likelihood (REML) derivative-free algorithm. Heritabilies for milk and fat yields using all the data were smaller in Brazil (.26 and .23) than in the in the U.S.A. (.33 and .36). Genetic correlations between milk and fat were .79 in Brazil and .62 in the U.S.A. Sire and residual variances for milk yield in Brazil were 59% and 81% (all herds), 51% and 58% (low HYSD herds), and 59% and 101% (high HYSD herds) as large as those obtained for all the U.S.A. data. corresponding percentage values for fat yield were 39% and 65%, and 48%, and 41 and 80%, respectively. Genetic correlations obtained from biavariate analyses between countries ranged from .79 to .87 for milk yield and were .89 or .90 for fat yield. Parameter estimates using all data for bibariate and multivariate analyses were essentially the same. Correlated response from sire selection using the U.S.A. information increased with average HYSD Brazil: daughter response was greatest (.77 kg/kg for milk yield and .63 kg/kg for fat yield) based on information from U.S.A. half-sisters in low HYSD herds. Unequal daughter responses from unequal genetic (co) variances under restrictive Brazilian conditions support the presence of an interaction between genetype and environment, which affects the yield expectation of daughters of U.S.A. sires performing in Brazilian herd enrironments.
Author: SREE RAMACHANDRA MURTHY
Publisher:
ISBN:
Category :
Languages : en
Pages : 261
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Author: New York State College of Agriculture and Life Sciences
Publisher:
ISBN:
Category : Agricultural experiment stations
Languages : en
Pages : 620
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Author: R. A. Mrode
Publisher: Cab International
ISBN: 9781845939816
Category : Technology & Engineering
Languages : en
Pages : 343
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Book Description
The prediction of producing desirable traits in offspring such as increased growth rate or superior meat, milk and wool production is a vital economic tool to the animal scientist. Summarizing the latest developments in genomics relating to animal breeding values and design of breeding programs, this new edition includes models of survival analysis, social interaction and sire and dam models, as well as advancements in the use of SNPs in the computation of genomic breeding values.
