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2008 | 49 | 2 |

Tytuł artykułu

Fractical application of daughter yield deviations in dairy cattle breeding

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
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.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

49

Numer

2

Opis fizyczny

p.183-191,fig.,ref.

Twórcy

autor
  • Institute of Natural Sciences, Wroclaw University of Life Sciences, Kozuchowska 7, 51-631 Wroclaw, Poland
  • Department of Animal Genetics, Wroclaw University of Life Sciences, Kozuchowska 7, 51-631 Wroclaw, Poland
autor
  • Department of Genetics and Animal Breeding, Agricultural University of Kraków, Kraków, Poland
autor
  • Department of Cattle Breeding and Milk Production, August Cieszkowski Agricultural University, Poznań, Poland
autor
  • National Research Institute of Animal Production, Balice, Poland

Bibliografia

  • Abdallah JM, McDaniel ВТ, 2002. Proven and young Holstein bulls compared for daughter yields, productive life, somatic cell score, and inbreeding. J Dairy Sci 85: 665-669.
  • Boichard D, Bonaiti B, Barbat A, Mattalia S, 1995. Three methods to validate the estimation of genetic trend for dairy cattle. J Dairy Sci 78: 431-437.
  • Buchanan FC, Van Kessel AG, Waldner C, Christensen DA, Laarveld B, Schmutz SM, 2003. An association between a leptin single nucleotide polymorphism and milk and protein yield. J Dairy Sci 86: 3164-3166.
  • Ducrocq V, Boichard D, Barbat A, Larroque H, 2001. Implementation of an approximate multi-trait BLUP evaluation to combine production traits and functional traits into a total merit index. Book of Abstracts of 52nd Annual Meeting of European Association for Animal Production, Budapest, Hungary.
  • Gautier M, Capitan A, Fritz S, Eggen A, Boichard D, Druet T, 2007. Characterization of the DGAT1 K232A and variable number of tandem repeat polymorphisms in French dairy cattle. J Dairy Sci 90: 2980-2988.
  • Grisart B, Coppieters W, Farnir F, Karim L, Ford C, Berzi P, et al. 2002. 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. Genome Res 12: 222-231.
  • Komisarek J, Szyda J, Michalak A, Dorynek Z, 2005. Impact of leptin gene polymorphisms on breeding value for milk production traits in cattle. J Anim Feed Sci 14: 491-500.
  • Liu Z, Reinhardt F, Bunger A, Reents R, 2004. Derivation and calculation of approximate reliabilities and daughter yield-deviations of a random regression test-day model for genetic evaluation of dairy cattle. J Dairy Sci 87: 1896-1907.
  • Madeja Z, Adamowicz T, Chmurzynska А, Jankowski T, Melonek J, Switonski M, Strabel T. 2004. Effect of leptin gene polymorphisms on breeding value for milk production traits. J Dairy Sci 87: 3925-3927.
  • Mrode RA, Swanson GJT, 2002. The calculation of cow and daughter yield deviations and partitioning of genetic evaluations when using a random regression model. Pages 51-54 in Proc 7 WCGALP, Communication #01-04, Montpellier, France.
  • Sanders K, Bennewitz J, Reinsch N, Thaller G, Prinzenberg EM, Kühn C, Kalm E, 2006. Characterization of the DGAT1 mutations and the CSN1S1 promoter in the German Angeln dairy cattle population. J Dairy Sci 89: 3164-3174.
  • Szyda J, Komisarek J, 2007. Statistical modeling of candidate gene effects on milk production traits in dairy cattle. J Dairy Sci 90: 2971-2979.
  • Szyda J, Liu Z, Reinhardt F, Reents R, 2005. Estimation of Quantitative Trait Loci Parameters for Milk Production Traits in German Holstein Dairy Cattle Population. J Dairy Sci 88: 356-367.
  • Thaller G, Krämer W, Winter А, Kauре В, Erhardt G, Fries R, 2003. Effects of DGAT1 variants on milk production traits in German cattle breeds. J Anim Sci 81: 1911-1918.
  • VanRaden PM, Wiggans GR, 1991. Derivation, calculation, and use of national animal model information. J Dairy Sci 74: 2737-2746.
  • Viitala S, Szyda J, Blott S, Schulman N, Lidauer M, Mäki-Tanila A, et al. 2006. The Role of the Bovine Growth Hormone Receptor and Prolactin Receptor Genes in Milk, Fat and Protein Production in Finnish Ayrshire Dairy Cattle. Genetics 173: 2151-2164.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-b997d833-b694-4bb5-96b0-670c46c2bb79
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