Genetic parameters and trends of milk, fat, days open, and body weight after calving in North Carolina experimental herds

Citation
Jm. Abdallah et Bt. Mcdaniel, Genetic parameters and trends of milk, fat, days open, and body weight after calving in North Carolina experimental herds, J DAIRY SCI, 83(6), 2000, pp. 1364-1370
Citations number
34
Categorie Soggetti
Food Science/Nutrition
Journal title
JOURNAL OF DAIRY SCIENCE
ISSN journal
00220302 → ACNP
Volume
83
Issue
6
Year of publication
2000
Pages
1364 - 1370
Database
ISI
SICI code
0022-0302(200006)83:6<1364:GPATOM>2.0.ZU;2-K
Abstract
The main objective of this study was to estimate genetic trends for 3.7% FC M, fat yield, days open, and predicted body weight after calving in six exp erimental dairy herds owned by the State Farm Division of the North Carolin a Department of Agriculture. Body weights were predicted from heart girths measured at or before the first test day after calving. Data analyzed were 23,052 records from 8575 cows, daughters of 681 bulls. Heritabilities and b reeding values were estimated using the multiple-trait, derivative-free REM L programs and a single-trait repeatability model. Breeding values of cows were averaged by and regressed on birth year to estimate genetic trends. Ge netic correlations between traits were estimated by correlating breeding va lues. Estimates of heritability were 0.25 for 3.7% FCM, 0.28 for fat yield, 0.03 for days open, and 0.17 for predicted body weight. Unfavorable geneti c relationships were found between yields and days open and between yields and body weight. Genetically cows that were heavier after calving produced less milk and fat but conceived earlier than smaller cows. Genetic changes in yields and days open were greater for cows born after 1970, but the grea test genetic changes were after 1980 (FCM, 94.7 kg/yr; fat yield, 3.46 kg/y r; days open, 1.1 d/yr). Breeding values for body weight increased for cows born from 1950 to 1970, decreased until 1980, and increased for later pari ties. The results of our study suggest that AI organizations may need to in clude fertility traits in progeny testing and relax the emphasis on increas ed body weight.