Literature DB >> 23290433

Some factors affecting the number of days open in Argentinean dairy herds.

M Piccardi1, A Capitaine Funes, M Balzarini, G A Bó.   

Abstract

The objective of this study was to estimate the relative contribution of factors affecting how quickly cattle become pregnant in Argentine dairy herds. Data from 76,401 cows from 249 dairy herds were analyzed. A hazard model was used to explore days open (DO). The factors considered were milk yield, lactation number, calving season, and breeding technique (i.e., type of service: artificial insemination [AI], or combined service). Cows with lower milk yield had 1.09 to 1.38 higher likelihood to become pregnant than those with higher milk yield (P < 0.0001). The number of DO increased linearly with an increasing number of lactations (P < 0.0001). Cows calving in fall-winter had a shorter interval to conception than those calving in summer. The hazard rate for combined service was 1.27; therefore, cows with combined service were more likely to become pregnant during the observation period than those bred by AI. The difference in DO between cows of high versus low milk yield was smaller when dairies used AI as the main breeding technique than when they used combined service. Furthermore, dairies using mainly combined service had lower milk yield (5693.7 L) than those using mainly AI (7684.4 L). Although lactation number and calving season contributed to explain the number of DO, the influence of production level, the type of service, and the interaction between them was also associated with reproductive efficiency in Argentine dairy herds.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23290433     DOI: 10.1016/j.theriogenology.2012.11.032

Source DB:  PubMed          Journal:  Theriogenology        ISSN: 0093-691X            Impact factor:   2.740


  1 in total

1.  Dynamic Changes in Progesterone Concentration in Cows' Milk Determined by the At-Line Milk Analysis System Herd NavigatorTM.

Authors:  Ramūnas Antanaitis; Dovilė Malašauskienė; Mindaugas Televičius; Vida Juozaitienė; Henrikas Žilinskas; Walter Baumgartner
Journal:  Sensors (Basel)       Date:  2020-09-04       Impact factor: 3.576

  1 in total

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