Literature DB >> 31495621

A breeding index to rank beef bulls for use on dairy females to maximize profit.

D P Berry1, P R Amer2, R D Evans3, T Byrne2, A R Cromie3, F Hely2.   

Abstract

The desire to increase profit on dairy farms necessitates consideration of the revenue attainable from the sale of surplus calves for meat production. However, the generation of calves that are expected to excel in efficiency of growth and carcass merit must not be achieved to the detriment of the dairy female and her ability to calve and re-establish pregnancy early postcalving without any compromise in milk production. Given the relatively high heritability of many traits associated with calving performance and carcass merit, and the tendency for many of these traits to be moderately to strongly antagonistic, a breeding index that encompasses both calving performance and meat production could be a useful tool to fill the void in supporting decisions on bull selection. The objective of the present study was to derive a dairy-beef index (DBI) framework to rank beef bulls for use on dairy females with the aim of striking a balance between the efficiency of valuable meat growth in the calf and the subsequent performance of the dam. Traits considered for inclusion in this DBI were (1) direct calving difficulty; (2) direct gestation length; (3) calf mortality; (4) feed intake; (5) carcass merit reflected by carcass weight, conformation, and fat and the ability to achieve minimum standards for each; (6) docility; and (7) whether the calf was polled. Each trait was weighted by its respective economic weight, most of which were derived from the analyses of available phenotypic data, supplemented with some assumptions on costs and prices. The genetic merit for a range of performance metrics of 3,835 artificial insemination beef bulls from 14 breeds ranked on this proposed DBI was compared with an index comprising only direct calving difficulty and gestation length (the 2 generally most important characteristics of dairy farmers when selecting beef bulls). Within the Angus breed (i.e., the beef breed most commonly used on dairy females), the correlation between the DBI and the index of genetic merit for direct calving difficulty plus gestation length was 0.74; the mean of the within-breed correlations across all other breeds was 0.87. The ranking of breeds changed considerably when ranked based on the top 20 artificial insemination bulls excelling in the DBI versus excelling in the index of calving difficulty and gestation length. Dairy breeds ranked highest on the index of calving difficulty and gestation length, whereas the Holstein and Friesian breeds were intermediate on the DBI; the Jersey breed was one of the poorest breeds on DBI, superior only to the Charolais breed. The results clearly demonstrate that superior carcass and growth performance can be achieved with the appropriate selection of beef bulls for use on dairy females with only a very modest increase in collateral effect on cow performance (i.e., 2-3% greater dystocia expected and a 6-d-longer gestation length).
Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  carcass; dairy–beef; dystocia; easy calving

Mesh:

Year:  2019        PMID: 31495621     DOI: 10.3168/jds.2019-16912

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


  12 in total

1.  Feed efficiency and carcass metrics in growing cattle1.

Authors:  David N Kelly; Craig Murphy; Roy D Sleator; Michelle M Judge; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

2.  The achievement of a given carcass specification is under moderate genetic control in cattle.

Authors:  David Kenny; Michelle M Judge; Roy D Sleator; Craig P Murphy; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-06-01       Impact factor: 3.159

3.  Animal-level factors associated with the achievement of desirable specifications in Irish beef carcasses graded using the EUROP classification system.

Authors:  David Kenny; Craig P Murphy; Roy D Sleator; Michelle M Judge; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-07-01       Impact factor: 3.159

4.  Phenotypic and genetic associations between feeding behavior and carcass merit in crossbred growing cattle.

Authors:  David N Kelly; Roy D Sleator; Craig P Murphy; Stephen B Conroy; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

5.  Feed and production efficiency of young crossbred beef cattle stratified on a terminal total merit index.

Authors:  David N Kelly; Stephen B Conroy; Craig P Murphy; Roy D Sleator; Donagh P Berry
Journal:  Transl Anim Sci       Date:  2020-07-01

6.  Carcass and efficiency metrics of beef cattle differ by whether the calf was born in a dairy or a beef herd.

Authors:  Alan J Twomey; Siobhán C Ring; Noirin McHugh; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

7.  Validation of a beef cattle maternal breeding objective based on a cross-sectional analysis of a large national cattle database.

Authors:  Alan J Twomey; Andrew R Cromie; Noirin McHugh; Donagh P Berry
Journal:  J Anim Sci       Date:  2020-11-01       Impact factor: 3.159

8.  Genetic and non-genetic factors associated with health and vitality traits in beef calves.

Authors:  Tom Condon; Craig Murphy; Roy D Sleator; Michelle M Judge; Siobhan Ring; Donagh P Berry
Journal:  J Anim Sci       Date:  2021-07-01       Impact factor: 3.159

9.  Sire Effects on Carcass of Beef-Cross-Dairy Cattle: A Case Study in New Zealand.

Authors:  Natalia Martín; Nicola Schreurs; Stephen Morris; Nicolás López-Villalobos; Julie McDade; Rebecca Hickson
Journal:  Animals (Basel)       Date:  2021-02-27       Impact factor: 2.752

10.  Sire Effects on Post-Weaning Growth of Beef-Cross-Dairy Cattle: A Case Study in New Zealand.

Authors:  Natalia Martín; Nicola Schreurs; Stephen Morris; Nicolás López-Villalobos; Julie McDade; Rebecca Hickson
Journal:  Animals (Basel)       Date:  2020-12-07       Impact factor: 2.752

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