Literature DB >> 7790586

The effect of test day models on the estimation of genetic parameters and breeding values for dairy yield traits.

H H Swalve1.   

Abstract

The present study estimated genetic parameters for yields of milk, fat, and protein applying REML procedures under test day animal models. The data consisted of 155,494 test day records from 15,756 Friesian cows in first lactation from one region in northern Germany. The models applied included a traditional herd-year-season model for the analysis of single test days and 305-d records and two test day models differing by the definition of contemporary groups, either as herd-year-season of calving or as herd-test day. For single test days, heritabilities were highest for midlactation yields. For test day models, estimates of heritability varied with the number of test day records included for each cow. Estimates of .32, .19, and .20 for yields of milk, fat, and protein, respectively, were highest when only test d 3 to 7 were included; the corresponding estimates for 305-d records were .39, .32, and .30. Estimates of residual variances were reduced when test day records were converted to records of average yield in standardized intervals of 30 d. Breeding values were estimated for 305-d and test day models. A comparison of both sets of breeding values indicates only minor changes in sire rank, but more drastic reranking for individual cows.

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Year:  1995        PMID: 7790586     DOI: 10.3168/jds.S0022-0302(95)76708-X

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


  5 in total

1.  Use of test-day records to predict first lactation 305-day milk yield using artificial neural network in Kenyan Holstein-Friesian dairy cows.

Authors:  D M Njubi; J W Wakhungu; M S Badamana
Journal:  Trop Anim Health Prod       Date:  2009-10-10       Impact factor: 1.559

2.  Genetic parameters for milk, fat and protein yields in Murrah buffaloes (Bubalus bubalis Artiodactyla, Bovidae).

Authors:  Rusbel Raúl Aspilcueta-Borquis; Roberta Cristina Sesana; Milthon Honorio Munoz Berrocal; Leonardo de Oliveira Seno; Annaiza Braga Bignardi; Lenira El Faro; Lucia Galvão de Albuquerque; Gregório Miguel Ferreira de Camargo; Humberto Tonhati
Journal:  Genet Mol Biol       Date:  2010-03-01       Impact factor: 1.771

3.  Variance Components and Genetic Parameters Estimated for Fat and Protein Content in Individual Months of Lactation: The Case of Tsigai Sheep.

Authors:  Marta Oravcová
Journal:  Asian-Australas J Anim Sci       Date:  2016-02       Impact factor: 2.509

4.  Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle.

Authors:  Ajay Singh; Avtar Singh; Manvendra Singh; Ved Prakash; G S Ambhore; S K Sahoo; Soumya Dash
Journal:  Asian-Australas J Anim Sci       Date:  2015-11-23       Impact factor: 2.509

5.  Influence of model selection and data structure on the estimation of genetic parameters in honeybee populations.

Authors:  Manuel Du; Richard Bernstein; Andreas Hoppe; Kaspar Bienefeld
Journal:  G3 (Bethesda)       Date:  2022-02-04       Impact factor: 3.154

  5 in total

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