Troubleshooting Poor Reproductive Performance in Large Herds

Sanders, Donald E.

doi:10.1016/j.cvfa.2005.02.004

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…The generalized linear model solution corresponding to category 1 was not estimable because of confounding and lack of information. Employee training was previously identified by Sanders (2005) as an essential component of the reproductive management program on commercial dairy farms.…”

Section: Pregnancy Status At 150 Dimmentioning

confidence: 99%

Analysis of Reproductive Performance of Lactating Cows on Large Dairy Farms Using Machine Learning Algorithms

Caraviello¹,

Weigel²,

Craven

et al. 2006

Journal of Dairy Science

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The fertility of lactating dairy cows is economically important, but the mean reproductive performance of Holstein cows has declined during the past 3 decades. Traits such as first-service conception rate and pregnancy status at 150 d in milk (DIM) are influenced by numerous explanatory factors common to specific farms or individual cows on these farms. Machine learning algorithms offer great flexibility with regard to problems of multicollinearity, missing values, or complex interactions among variables. The objective of this study was to use machine learning algorithms to identify factors affecting the reproductive performance of lactating Holstein cows on large dairy farms. This study used data from farms in the Alta Genetics Advantage progeny-testing program. Production and reproductive records from 153 farms were obtained from on-farm DHI-Plus, Dairy Comp 305, or PCDART herd management software. A survey regarding management, facilities, labor, nutrition, reproduction, genetic selection, climate, and milk production was completed by managers of 103 farms; body condition scores were measured by a single evaluator on 63 farms; and temperature data were obtained from nearby weather stations. The edited data consisted of 31,076 lactation records, 14,804 cows, and 317 explanatory variables for first-service conception rate and 17,587 lactation records, 9,516 cows, and 341 explanatory variables for pregnancy status at 150 DIM. An alternating decision tree algorithm for first-service conception rate classified 75.6% of records correctly and identified the frequency of hoof trimming maintenance, type of bedding in the dry cow pen, type of cow restraint system, and duration of the voluntary waiting period as key explanatory variables. An alternating decision tree algorithm for pregnancy status at 150 DIM classified 71.4% of records correctly and identified bunk space per cow, temperature for thawing semen, percentage of cows with low body condition scores, number of cows in the maternity pen, strategy for using a clean-up bull, and milk yield at first service as key factors.

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Section: Pregnancy Status At 150 Dimmentioning

confidence: 99%

Analysis of Reproductive Performance of Lactating Cows on Large Dairy Farms Using Machine Learning Algorithms

Caraviello¹,

Weigel²,

Craven

et al. 2006

Journal of Dairy Science

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“…When the pregnancy rate is lower than expected, common causes related to bull performance, breeding pasture management, body condition, and infectious disease should be considered. If there is no apparent diagnosis, micronutrient deficiency is often suggested as a potential contributor to poor pregnancy rates (Sanders 2005;Maas 2007). This study investigates the relationship between reproductive health and Cu and Mo serum concentrations.…”

mentioning

confidence: 99%

Geographic determinants of copper and molybdenum concentrations in serum at the end of the grazing season and associations with reproductive performance in beef cows from western Canada

WeyerLeanne

Waldner

2011

Can. J. Anim. Sci.

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Van De Weyer, L. M. and Waldner, C. L. 2011. Geographic determinants of copper and molybdenum concentrations in serum at the end of the grazing season and associations with reproductive performance in beef cows from western Canada. Can. J. Anim. Sci. 91: 423–431. Serum concentrations of Cu and Mo were measured at the end of the summer grazing season in an observational field study of 783 breeding females from 66 cow-calf herds located in western Canada. The mean Cu concentration was 0.82 ppm (S, 0.30 ppm) and the mean Mo concentration was 0.056 ppm (S, 0.055 ppm). Serum Cu concentration differed across ecoregions (P=0.013). Serum Mo concentrations varied by ecoregion (P =0.002), soil type (P =0.011), soil color (P=0.018), and total precipitation during the growing season (P =0.004). Copper and Mo serum concentrations at the end of the grazing season were not associated with reproductive outcomes. Herd location is an important determinant of the risk of primary and secondary Cu deficiency and can inform the need for trace mineral testing of feed samples as well as supplementation.

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“…M icronutrient deficiencies are frequently suggested as risk factors for reproductive failure in beef herds. 1,2 However, the impact of inadequate circulating concentrations of micronutrients on the reproductive performance of cattle remains unclear, despite evidence of less than adequate blood and serum concentrations of copper, selenium, manganese, and vitamin E in beef cows in many regions of North America. [3][4][5][6] To the authors' knowledge, the effect of prebreeding serum micronutrient concentrations on the subsequent pregnancy outcome of beef cows has not been examined under field conditions.…”

mentioning

confidence: 99%

Associations between prebreeding serum micronutrient concentrations and pregnancy outcome in beef cows

Weyer

Hendrick²,

Waldner³

2011

javma

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Troubleshooting Poor Reproductive Performance in Large Herds

Cited by 4 publications

References 12 publications

Analysis of Reproductive Performance of Lactating Cows on Large Dairy Farms Using Machine Learning Algorithms

Analysis of Reproductive Performance of Lactating Cows on Large Dairy Farms Using Machine Learning Algorithms

Geographic determinants of copper and molybdenum concentrations in serum at the end of the grazing season and associations with reproductive performance in beef cows from western Canada

Associations between prebreeding serum micronutrient concentrations and pregnancy outcome in beef cows

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