Literature DB >> 18436992

Practical application of daughter yield deviations in dairy cattle breeding.

Joanna Szyda1, Ewa Ptak, Jolanta Komisarek, Andrzej Zarnecki.   

Abstract

Daughter yield deviations (DYDs) of bulls and yield deviations (YDs) of cows, besides estimated breeding values (EBVs), are standard measures of animals' genetic merits in routine genetic evaluations worldwide. In this contribution, we first point out differences and similarities between DYDs and EBVs calculated for milk, fat and protein yields. While the latter measure represents the additive polygenic value of an animal, the former consists of both the additive polygenic and residual components. Then, a summary of DYDs and YDs calculated for the Polish population of dairy cattle is presented. The estimated correlations between DYDs and EBVs are generally high, but vary considerably depending on the minimum number of daughters used for calculation of DYDs and on the accuracy of calculated DYDs. Using DYDs estimated for each production year for 16 452 bulls, we demonstrate how to use DYDs for the validation of genetic trend estimated in the model used for genetic evaluation. Based on genotypic data of 252 bulls, we show that DYDs can be used for the estimation of candidate gene effects. For each of the yield traits, the within-bull genetic trend was relatively high, ranging between 1.39% of genetic standard deviation per production year for milk and 7.67% of genetic standard deviation per production year for fat, both in the 2nd lactation. Out of 8 polymorphisms tested, 5 showed a significant correlation with DYD, with the highest effect attributed to the polymorphism within the leptin receptor gene, whose additive effect was estimated as 247.33 kg of milk at 2nd parity.

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Year:  2008        PMID: 18436992     DOI: 10.1007/BF03195611

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  13 in total

1.  Proven and young Holstein bulls compared for daughter yields, productive life, somatic cell score, and inbreeding.

Authors:  J M Abdallah; B T McDaniel
Journal:  J Dairy Sci       Date:  2002-03       Impact factor: 4.034

2.  Effects of DGAT1 variants on milk production traits in German cattle breeds.

Authors:  G Thaller; W Krämer; A Winter; B Kaupe; G Erhardt; R Fries
Journal:  J Anim Sci       Date:  2003-08       Impact factor: 3.159

3.  The role of the bovine growth hormone receptor and prolactin receptor genes in milk, fat and protein production in Finnish Ayrshire dairy cattle.

Authors:  Sirja Viitala; Joanna Szyda; Sarah Blott; Nina Schulman; Martin Lidauer; Asko Mäki-Tanila; Michel Georges; Johanna Vilkki
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

4.  Statistical modeling of candidate gene effects on milk production traits in dairy cattle.

Authors:  J Szyda; J Komisarek
Journal:  J Dairy Sci       Date:  2007-06       Impact factor: 4.034

5.  Positional candidate cloning of a QTL in dairy cattle: identification of a missense mutation in the bovine DGAT1 gene with major effect on milk yield and composition.

Authors:  Bernard Grisart; Wouter Coppieters; Frédéric Farnir; Latifa Karim; Christine Ford; Paulette Berzi; Nadine Cambisano; Myriam Mni; Suzanne Reid; Patricia Simon; Richard Spelman; Michel Georges; Russell Snell
Journal:  Genome Res       Date:  2002-02       Impact factor: 9.043

6.  Three methods to validate the estimation of genetic trend for dairy cattle.

Authors:  D Boichard; B Bonaiti; A Barbat; S Mattalia
Journal:  J Dairy Sci       Date:  1995-02       Impact factor: 4.034

7.  Characterization of the DGAT1 mutations and the CSN1S1 promoter in the German Angeln dairy cattle population.

Authors:  K Sanders; J Bennewitz; N Reinsch; G Thaller; E-M Prinzenberg; C Kühn; E Kalm
Journal:  J Dairy Sci       Date:  2006-08       Impact factor: 4.034

8.  Hot topic: an association between a leptin single nucleotide polymorphism and milk and protein yield.

Authors:  F C Buchanan; A G Van Kessel; C Waldner; D A Christensen; B Laarveld; S M Schmutz
Journal:  J Dairy Sci       Date:  2003-10       Impact factor: 4.034

9.  Derivation and calculation of approximate reliabilities and daughter yield-deviations of a random regression test-day model for genetic evaluation of dairy cattle.

Authors:  Z Liu; F Reinhardt; A Bünger; R Reents
Journal:  J Dairy Sci       Date:  2004-06       Impact factor: 4.034

10.  Characterization of the DGAT1 K232A and variable number of tandem repeat polymorphisms in French dairy cattle.

Authors:  M Gautier; A Capitan; S Fritz; A Eggen; D Boichard; T Druet
Journal:  J Dairy Sci       Date:  2007-06       Impact factor: 4.034

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  1 in total

1.  Estimation of genetic parameters for monthly egg production in laying hens based on random regression models.

Authors:  A Wolc; T Szwaczkowski
Journal:  J Appl Genet       Date:  2009       Impact factor: 3.240

  1 in total

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