scholarly journals A Spreadsheet-Based Model Demonstrating the Nonuniform Economic Effects of Varying Reproductive Performance in Ohio Dairy Herds

2005 ◽  
Vol 88 (3) ◽  
pp. 1244-1254 ◽  
Author(s):  
C. Meadows ◽  
P.J. Rajala-Schultz ◽  
G.S. Frazer
1985 ◽  
Vol 33 (1) ◽  
pp. 59-61
Author(s):  
A.A. Dijkhuizen ◽  
S. Hibma ◽  
J.A. Renkema

A 15 year simulation was carried out in order to test a model for dairy cattle culling. Provisional results indicate that decreasing max. allowed calving interval from 520 to 360 days decreases herd income due to adverse effects on herd life. (Abstract retrieved from CAB Abstracts by CABI’s permission)


2001 ◽  
Vol 26 (2) ◽  
pp. 305-311
Author(s):  
J.M. Morton

AbstractThe National Dairy Herd Fertility Project (renamed the InCalf Project) consists of two large, prospective observational studies conducted in commercial dairy herds from 4 Australian states. The project aims to identify factors associated with variation in reproductive performance between cows and herds. The larger of the two studies included over 33,000 cows and 168 herds. The database has undergone extensive error checking and correction resulting in high quality data. Large variations in reproductive performance were observed between cows and herds, indicating that there are important risk factors for reproductive performance and that cows and herds are exposed to varying combinations of these risk factors. Models for several reproductive outcomes were constructed using multivariable stepwise logistic regression. No significant associations were detected between any measures of cow genetic merit and 6 week in-calf rate. Neither milk volume nor protein yield were significantly associated with 6 week in-calf rate. A weak negative association was detected between fat yield in the first 120 days of lactation and 6 week in-calf rate. However, differences in estimated 6-week in-calf rate between moderate and high producing groups (2 to 5 percentage points) were small when contrasted against the 63 percentage point range in performance observed between herds (23% to 86%).


2019 ◽  
Vol 248 ◽  
pp. 1-7 ◽  
Author(s):  
B. Grimard ◽  
A. de Boyer des Roches ◽  
M. Coignard ◽  
A. Lehébel ◽  
A. Chuiton ◽  
...  

2019 ◽  
Vol 64 (No. 11) ◽  
pp. 459-464
Author(s):  
Jörn Rethmeier ◽  
Michael Wenzlau ◽  
Martin Wagner ◽  
Steffi Wiedemann ◽  
Lisa Bachmann

Fertility in dairy cows has decreased over the last fifty years while milk production per cow has increased. Furthermore, dairy herds become larger resulting in fewer employees per cow, which might also influence reproductive performance. To elucidate the situation in Germany, selected parameters (conception rate, service rate, pregnancy rate, days to first insemination and days open) were studied using data on 148 herds. For statistical analysis the herds were categorized concerning milk yield: (1) < 30 kg, (2) 30‒35 kg, and (3) > 35 kg/cow/day as well as concerning herd size: (1) < 200, (2) 200‒400, (3) 400‒1000 and (4) > 1000 milking cows. There was no difference in conception rate among herds. That means on dairy farms of larger size or with high milk yield the chance of an inseminated cow to become pregnant is the same as in small herds or in herds with low milk yield. Small herds (< 200 cows) had lower pregnancy rates than larger herds (200–400 cows). The pregnancy rate in herds with different milk yield was not statistically different. Though there was a trend that dairy farms with higher milk yield (> 30 kg) had higher pregnancy rates. The statistical differences and trends of pregnancy rates are due to higher service rate in larger herds as well as in herds with high milk yield. Therefore, service rate is the key factor for high reproductive performance on dairy farms. Poor fertility is not associated with high milk yield on herd basis or large herd size but may represent inappropriate farm management.


2013 ◽  
Vol 96 (2) ◽  
pp. 1269-1289 ◽  
Author(s):  
James D. Ferguson ◽  
Andrew Skidmore

1980 ◽  
Vol 28 (7) ◽  
pp. 131-142 ◽  
Author(s):  
E.D. Fielden ◽  
R.E. Harris ◽  
K.L. Macmillan ◽  
S.L. Shrestha

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