Modelling reproductive management systems for beef cattle

Sara Melin Azzam, J. E. Kinder, M. K. Nielsen

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Management alternatives for beef herds that varied in level of reproductive efficiency were studied by computer modelling. This paper describes the stochastic dynamic model developed to describe reproductive processes in beef cattle. The model is compared with other stochastic models of reproduction in cattle. Results from modelling different management alternatives (length of breeding season and breeding heifers 21 days ahead of cows in spring-calving herds) are discussed. Proportion of females in the breeding herd that became pregnant increased with length of breeding season and by breeding heifers ahead of cows. Proportion of females in the breeding herd that weaned a calf was mostly affected by the pregnancy rate but also by survival of calves to weaning. Average age of calves at weaning increased with increasing first-service conception rate and decreased length of breeding season. With high first-service conception rate, length of breeding season had relatively little effect on age and weight at weaning.

Original languageEnglish (US)
Pages (from-to)103-122
Number of pages20
JournalAgricultural Systems
Volume34
Issue number2
DOIs
StatePublished - 1990

Fingerprint

beef cattle
management systems
breeding season
herds
weaning
breeding
calves
conception rate
heifers
cows
reproductive efficiency
pregnancy rate
dynamic models
calving
beef
cattle

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Agronomy and Crop Science

Cite this

Modelling reproductive management systems for beef cattle. / Azzam, Sara Melin; Kinder, J. E.; Nielsen, M. K.

In: Agricultural Systems, Vol. 34, No. 2, 1990, p. 103-122.

Research output: Contribution to journalArticle

Azzam, Sara Melin ; Kinder, J. E. ; Nielsen, M. K. / Modelling reproductive management systems for beef cattle. In: Agricultural Systems. 1990 ; Vol. 34, No. 2. pp. 103-122.
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