Issue |
Genet. Sel. Evol.
Volume 33, Number 3, May-June 2001
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|
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Page(s) | 273 - 287 | |
DOI | https://doi.org/10.1051/gse:2001119 |
Genet. Sel. Evol. 33 (2001) 273-287
Genetic relationship between cyclic ovarian activity in heifers and cows and beef traits in males
Marie-Madeleine Mialona, Gilles Renanda, Daniel Kraussb and François Ménissieraa Station de génétique quantitative et appliquée, Institut national de la recherche agronomique, 78352 Jouy-en-Josas Cedex, France
b Domaine expérimental de Galle, Institut national de la recherche agronomique, 18520 Avord, France
(Received 19 July 2000; accepted 3 January 2001)
Abstract
Records were collected in an experimental herd over an 11-year period
from purebred Charolais heifers (n=351), cows (n=615) and young
entire bulls (n=383). The objective of the study was to estimate the
genetic relationship between the components of female ovarian activity
(age at puberty and postpartum anoestrus length), their
growth rate and body condition score and beef traits measured on
related bulls. Two methods were used to estimate age at puberty and
postpartum anoestrus length: the detection of oestrous
behaviour and a test of cyclicity based on plasmatic progesterone
assay. This study shows the existence of significant heritability
estimates for the different cyclicity traits (h2 between 0.11 and
0.38). Most of the genetic correlation coefficients between ovarian
activity and growth rate of females and males are negative and
favourable ( between - 0.43 and 0.06). Cyclicity is
also favourably related with body condition score in young or adult
females ( between - 0.65 and - 0.22). The genetic
relationship between female ovarian activity and proportion of adipose
tissue in the male carcass is, however, close to zero. These results
show that an antagonism between male beef traits measured in this
study and female ovarian activity is unlikely to be a cause for
concern in the short term.
Key words: genetic relationships / ovarian activity / beef-traits / cattle
Correspondence and reprints: Gilles Renand
e-mail: Renand@dga.jouy.inra.fr
© INRA, EDP Sciences 2001