Literature DB >> 22440764

Responses of prolactin and hair growth to selection for age at puberty in Angus cattle.

C A Morris1, N C Amyes, S M Hickey.   

Abstract

A trial was carried out over a 7-year period (1999 to 2005 calf crops) to compare indicators of seasonality in Angus cattle, which were part of a long-term genetic selection experiment. Divergent selection was applied for early ('AGE-') or late ('AGE+') age at puberty (AP) in heifers, and selection lines differed over the 7-year period by 62 days (15% of the mean). The primary measures of seasonality studied in 629 heifer progeny (59 sire groups) were serum concentration of prolactin (PRL), and winter and summer hair growth. Serial samples were obtained for PRL from 11 to 18 months of age, and data were analysed with adjustment for cortisol concentration. Using restricted maximum likelihood procedures with an animal model, heritability estimates were: AP, 0.26 ± 0.03; log(e)PRL concentration, 0.23 ± 0.07; log(e)cortisol concentration, 0.22 ± 0.07; hair weight, 0.21 ± 0.04; and hair length, 0.09 ± 0.05. Corresponding repeatability estimates for the last four traits were 0.49 ± 0.03, 0.38 ± 0.03, 0.21 ± 0.04, and 0.64 ± 0.02, respectively. The genetic correlation between AP and log(e)PRL concentration was estimated at -0.29 ± 0.13 (P < 0.05). PRL concentration in the AGE- line after passing through puberty was 11 ± 5% lower than in the AGE+ line (P < 0.05). Line effects were not significant for hair weight or hair length. It was concluded that divergent selection for AP changed PRL concentration, which may partly reflect sensitivity to changing day length.

Entities:  

Year:  2011        PMID: 22440764     DOI: 10.1017/S1751731110001825

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  1 in total

1.  Effect of Overcrowding on Hair Corticosterone Concentrations in Juvenile Male Wistar Rats.

Authors:  Duvn G Uarquin; Jerrold S Meyer; Fernando P Cardenas; Manuel J Rojas
Journal:  J Am Assoc Lab Anim Sci       Date:  2016-11       Impact factor: 1.232

  1 in total

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