Last edited by Zuzil
Wednesday, May 13, 2020 | History

3 edition of Predicting genetic merit of young dairy bulls found in the catalog.

Predicting genetic merit of young dairy bulls

Joe K. Hillers

Predicting genetic merit of young dairy bulls

by Joe K. Hillers

  • 21 Want to read
  • 3 Currently reading

Published by Cooperative Extension Service, College of Agriculture, Washington State University in Pullman, [Wash.] .
Written in English

    Subjects:
  • Dairy cattle

  • Edition Notes

    StatementJ.K. Hillers, J.W. Bernard, and G.F. Williams.
    SeriesEB -- 0778., Extension bulletin (Washington State University. Cooperative Extension Service) -- 778.
    ContributionsBernard, John W., Williams, Grady F., Washington State University. Cooperative Extension Service., United States. Dept. of Agriculture.
    The Physical Object
    Pagination1 sheet ;
    ID Numbers
    Open LibraryOL17618609M
    OCLC/WorldCa54674615

    The accuracies of DNA-based estimates of genetic merit derived from Angus or the dairy industry (VanRaden et al., ) using the Il-lumina Bovine SNP50 Bead Chip assay predicting USMARC MBV, missing values due to less than % call rate and differences in 50K SNP ver-sion (Table 2) in the combined dataset were imputed. Genomic Selection for Non-Dairy Audience: This article helps those who are not familiar with dairy or cows. It discusses some basic knowledge of cows, genetics, genetic evaluations, and mating. TPI & JPI Comparison (Net Merit): Here you can see how a producer might select for certain traits and how net merit compares with TPI and JPI.

    Use of genotype x environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle. Journal of Dairy Science Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. and merit of young versus proven bulls. J Dairy Sci 94 (3): Estimates of genetic selection differentials and generation intervals for four paths of gedatsuusakendodojo.com by:

    The development of breeding strategies for the large scale commercial dairy sector in Zimbabwe Ntombizakhe Mpofu () a progeny testing scheme was initiated to test young bulls sired by both local and foreign-born bulls. are expected to be of higher . Dairy cows with improved milk quality. A longer production life. This is the promise of bovine genetics. This is the promise that is being fulfilled. Now. Fundamentally changing business. Accurately predicting genetic merit used to be time consuming and expensive—taking years and costing tens of thousands of dollars. Not any more.


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Predicting genetic merit of young dairy bulls by Joe K. Hillers Download PDF EPUB FB2

Pedigree Information to Predict Genetic Merit for Type of Holstein Bulls 1 K. LEE, W. VINSON, and J. WHITE Department of Dairy Science Virginia Polytechnic Institute and State University Blacksburg H.

NORMAN Animal Improvement Programs Laboratory Agricultural Research Service United States Department of Agriculture Beltsville, MD R. KLIEWER Holstein-Friesian Cited by: 2. Accuracy of Predicting Genetic Merit from Pedigree Information for Bulls Entering Stud Sampling Programs D.

SAMUELSON1 and R. PEARSON Department of Dairy Science Virginia Polytechnic Institute and State University Blacksburg Q ABSTRACT Four sources of pedigree infonnation were used to detennine the most accurate prediction of daughter yield deviation and PTA milk, fat, and Cited by: 7.

A key issue in genomic selection Predicting genetic merit of young dairy bulls book predicting genetic merit in young animals across a wide range of traits. In the case of dairy cattle breeding, this is particularly advantageous given the sex limited expression of most traits and the long generation interval due to relying on progeny testing to select superior replacement gedatsuusakendodojo.com by: Dec 31,  · A key issue in genomic selection is predicting genetic merit in young animals across a wide range of traits.

In the case of dairy cattle breeding, this is particularly advantageous given the sex limited expression of most traits and the long generation interval due to relying on progeny testing to select superior replacement gedatsuusakendodojo.com by: This involves simultaneously identifying the chromosome fragments that contribute to the prediction of genetic merit, estimating the proportion of variation accounted for by that fragment and predicting its substitution effect.

In the second step, genotypes of new animals are used to predict their genetic merit, given the results from the training. The answer to this question is provided in Figure 2, which is based on young bulls marketed by A.I.

companies with semen used in Canada. Genomic young bulls that had their semen released for use in Canada in have an average genetic merit of LPI (Figure 1) and $ Pro$.

Impact of Genomics on Dairy Cattle Breeding Bennet Cassell Virginia Tech •Many young PT bulls are no longer “in-waiting” (PA), or the expected genetic merit of an average progeny of a single mating between animals with traditional evaluations. gedatsuusakendodojo.com will provide dairy producers timely Internet access to the information needed to support genetic management of their herds.

gedatsuusakendodojo.com allows producers to search a database of bulls from all domestic and international sources, using selection criteria determined by the visitor. Genomics uses DNA information to predict the genetic merit of bulls and cows. Available in Australia sincegenomic information is routinely used to calculate genomic Australian Breeding Values – ABV(g)s for dairy sires and also for females.

The analysis is primarily done from a hair sample, allowing animals to be tested from a very. Relationship between dairy cow genetic merit and profit on commercial spring calving dairy farms Article in animal 6(07) - · July with 55 Reads How we measure 'reads'.

selection indices and prediction of genetic merit in animal breeding Dec 10, Posted By Louis L Amour Media TEXT ID fd Online PDF Ebook Epub Library breeding value of each animal is known the genetic variance among animals and the generation interval in particular the generation interval varies between farm animal.

J Dairy Sci. Oct;66(10) Pedigree information to predict genetic merit for type of Holstein bulls. Lee KL, Vinson WE, White JM, Norman HD, Kliewer RH. Three methods of computing predicted differences for type were compared for accuracy of pedigree evaluation of young Holstein gedatsuusakendodojo.com by: 2.

Improving Prediction of National Evaluations by Use of Data from Other Countries industry is to progeny test young dairy bulls in multiple countries. of national estimates of genetic merit. Sep 30,  · Goals / Objectives The objective of this research is to develop statistical models that will improve the accuracy of genetic selection of dairy cattle for economically important traits.

Three particular aspects of genetic evaluation of livestock are being considered at present. First, international genetic evaluation of dairy cattle. Nov 06,  · Genomic breeding value prediction: methods and procedures* - Volume 4 Issue 2 - M.

Calus Predicting genetic merit for mastitis and fertility in dairy cattle using genome wide selection and high density SNP screens.

In Conference of the International Society for Animal Genetics, Amsterdam, The Netherlands. reliability of genomic Cited by: Genetics Selection Evolution A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers Gerhard Moser 1 2 Bruce Tier 0 2 Ron E Crump 0 2 Mehar S Khatkar 2 3 Herman W Raadsma 2 3 0 Animal Breeding and Genetics Unit, University of New England, Armidale NSWAustralia 1 Bellbowrie, QLDAustralia 2 The CRC for Innovative Dairy Cited by: Buy Intensive selection in Holstein cattle: Evolution of genetic gains: Genetic improvement in dairy cattle on gedatsuusakendodojo.com FREE SHIPPING on qualified ordersAuthor: Boulbaba Rekik.

A.I. companies are making extensive use of the genomic results in their young sire proving and marketing programs. In the past five years young sire usage by Holstein breeders has risen from less than 20% to over 50%. This rising amount of semen sold is due primarily to the higher genetic merit for the genomic bulls compared to the proven sires.

Jul 23,  · Combined the North American dairy industry used these new products and the BovineSNP50 that we developed in at a rate of more than 12, assa per month to generate genome-based predictions of genetic merit on young animals.

In Junethe genetic base cow, which is the genetic reference point for all dairy cattle in New Zealand, became younger, as we moved from a to a born genetic base cow. The previous genetic base was the average of a group of well recorded born cows.

National genetic improvement programs for dairy cattle in the United States increasing numbers of young bulls sampled, increasing selection intensity of bull dams methods of predicting genetic values, application of genetic information by the industry, challenges, and future directions.

Cited by: The following factors or effects are important when predicting genetic merit: 1) herd management effect, 2) genetic merit of mates, 3) genetic competition of herdmates, 4) environmental correlation between daughters of a sire in the same herd (sire-by-herd interaction) and 5) ancestor information.worked.

To a dairy farmer, the ultimate test would be to see if a bull chosen on the basis of a high genetic evaluation including genomics but no daughter records actually was that good when progeny data were available. Rather than choosing some young bulls and waiting five years to find the answer, the scientists used a short cut.