Abstract

The cow-calf industry in North America is in a period of rapid consolidation with corresponding increases in herd sizes and changes in management. The objectives of this study were to examine longitudinal data on reproductive performance in cow-calf herds and identify benchmarks for the most critical measures and important sources of differences among herds. To address these questions, a surveillance network was established in western Canada to collect data between 2013 to 2017 privately owned cow-calf herds during calving (n = 105 herds) and at pregnancy testing (n = 94 herds). Data were summarized for a number of indices of herd performance. However, the values considered to be most reliable and accurate were the percentage of females not pregnant when tested by a veterinarian, the percentage of calves dead within 24 hours of birth, and the percentage of calves dead from 24 hours to weaning. The mean and variation between herds for heifers, measured using standard deviation, was greater than for cows for: non-pregnancy (cows 6.8% (mean)±3.4%(SD), heifers 9.7%±8.2%), calf death from birth to 24 hours (cows 2.1%±1.6%, heifers 3.6%±4.5%), and calf death from 24 hours to weaning (cows 2.5%±2.4%, heifers 2.9%±3.9%). Benchmarks or performance targets derived from the 25th percentiles of these data for both cows and heifers were <5% for non-pregnancy risk and <1% for calf loss within 24 hours of birth. The suggested benchmark for calf loss from 24 hours to weaning was <2% for cows and <1% for heifers. All outcomes consistently displayed greater variation between herds as compared to year to year differences within herds with the exception of calf loss before 24 hours in cows. The timing of the start of breeding season was a consistent source of variation in risks of non-pregnancy and calf losses. Cows bred in April or earlier to start calving in late December or January were at increased risk of low pregnancy percentages (p<0.001) and calf losses at birth (p<0.04), as well as increased calf loss before weaning in both cows and heifers (p<0.02). There was also an increase in the risk of non-pregnancy for cows and heifers (p<0.001) where first exposure to breeding was not until July or August. In contrast, the risks of calf loss within 24 hrs of birth (p<0.001) and from 24 hrs to weaning in cows (p<0.02) first exposed to breeding in July and August were significantly lower than for herds that had earlier breeding seasons.

Highlights

  • The Canadian beef industry is undergoing important changes characterized by decreasing herd numbers and increasing herd sizes [1]

  • The recruitment of herds for this study provided a distribution of herd sizes and geographic location that was representative of the herd distribution in Western Canada, if Reproductive performance and calf survival using a longitudinal field study of cow-calf herds considering herd sizes of at least 100 cows

  • For future studies of reproductive performance in client-owned herds, we suggest focussing effort on the accurate collection of pregnancy testing data, stillbirth and calf loss information

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Summary

Introduction

The Canadian beef industry is undergoing important changes characterized by decreasing herd numbers and increasing herd sizes [1]. One anecdotal example of these changes is the decision by many producers with larger herds to delay breeding to allow for later calving on pastures and, reduce the need for labor to manage newborns in extreme cold and winter storms during the calving season. To assess the potential impacts from ongoing industry changes to reproductive performance, surveillance data are needed. These data must be collected on an appropriate geographic scale to consider regional variation in climate, nutrition and management decisions on herd performance. While other one time surveys have been successful in providing data to inform performance expectations [3,4,5,6,7,8,9], there is limited understanding of how herd productivity fluctuates from year-to-year in response to changing weather patterns, feed quality, and management decisions. In addition to examining trends over time, regional surveillance data can be used to develop benchmarks against which producers and veterinarians can evaluate individual herd performance and set goals for improvement

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