Literature DB >> 12836956

Genetic relationships among body condition score, body weight, milk yield, and fertility in dairy cows.

D P Berry1, F Buckley, P Dillon, R D Evans, M Rath, R F Veerkamp.   

Abstract

Genetic (co)variances between body condition score (BCS), body weight (BW), milk production, and fertility-related traits were estimated. The data analyzed included 8591 multiparous Holstein-Friesian cows with records for BCS, BW, milk production, and/or fertility from 78 seasonal calving grass-based farms throughout southern Ireland. Of the cows included in the analysis, 4402 had repeated records across the 2 yr of the study. Genetic correlations between level of BCS at different stages of lactation and total lactation milk production were negative (-0.51 to -0.14). Genetic correlations between BW at different stages of lactation and total lactation milk production were all close to zero but became positive (0.01 to 0.39) after adjusting BW for differences in BCS. Body condition score at different stages of lactation correlated favorably with improved fertility; genetic correlations between BCS and pregnant 63 d after the start of breeding season ranged from 0.29 to 0.42. Both BW at different stages of lactation and milk production tended to exhibit negative genetic correlations with pregnant to first service and pregnant 63 d after the start of the breeding season and positive genetic correlations with number of services and the interval from first service to conception. Selection indexes investigated illustrate the possibility of continued selection for increased milk production without any deleterious effects on fertility or average BCS, albeit, genetic merit for milk production would increase at a slower rate.

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Year:  2003        PMID: 12836956     DOI: 10.3168/jds.S0022-0302(03)73809-0

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


  20 in total

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3.  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

4.  The association of ruminal pH and some metabolic parameters with conception rate at first artificial insemination in Thai dairy cows.

Authors:  Chaidate Inchaisri; Somchai Chanpongsang; Jos Noordhuizen; Henk Hogeveen
Journal:  Trop Anim Health Prod       Date:  2012-12-28       Impact factor: 1.559

5.  A novel measure of ewe efficiency for breeding and benchmarking purposes.

Authors:  Nóirín McHugh; Thierry Pabiou; Kevin McDermott; Eamon Wall; Donagh P Berry
Journal:  J Anim Sci       Date:  2018-06-04       Impact factor: 3.159

6.  Dressing percentage and the differential between live weight and carcass weight in cattle are influenced by both genetic and non-genetic factors1.

Authors:  Jessica M Coyne; Ross D Evans; Donagh P Berry
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

7.  Characterization and mitigation option of greenhouse gas emissions from lactating Holstein dairy cows in East China.

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Journal:  J Anim Sci Biotechnol       Date:  2022-06-30

8.  Sequencing and annotated analysis of full genome of Holstein breed bull.

Authors:  Sulev Kõks; Ene Reimann; Rutt Lilleoja; Freddy Lättekivi; Andres Salumets; Paula Reemann; Ülle Jaakma
Journal:  Mamm Genome       Date:  2014-04-26       Impact factor: 2.957

9.  Calf health and management in smallholder dairy farms in Tanzania.

Authors:  Jelly S Chang'a; Robinson H Mdegela; Ruth Ryoba; Torleiv Løken; Olav Reksen
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10.  Associations between the clinical signs of chronic endometritis with ovarian cysts and body condition loss in German Holstein Friesian cows.

Authors:  Georgios Tsousis; Reza Sharifi; Martina Hoedemaker
Journal:  J Vet Sci       Date:  2009-12       Impact factor: 1.672

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