Selection for milk production and persistency using eigenvectors of the random regression coefficient matrix

Journal of Dairy Science

Volumn 89, Issue 12, 2006, Pages 4866-4873

  Togashi, K ^a   Lin, C Y ^b  

^a NATIONAL AGRICULTURAL RESEARCH CENTER FOR HOKKAIDO REGION   (Japan)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Eigenvector index; Lactation curve; Lactation milk; Persistency

Indexed keywords

BOS TAURUS;

EID: 33846311776     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(06)72535-8     Document Type: Article

References (12)

1. Druet, T., F. Jaffrézic, D. Boichard, and V. Ducrocq. 2003. Modeling lactation curves and estimation of genetic parameters for first lactation test-day records of French Holstein cows. J. Dairy Sci. 86:2480-2490.
2. Gengler, N. 1996. Persistency of lactation yields: A review. Interbull Bull. 12:87-96.
3. Lin, C. Y., and K. Togashi. 2005. Maximization of lactation milk production without decreasing persistency. J. Dairy Sci. 88:2975-2980.
4. Macciotta, N. P. P., D. Vicario, C. D. Mauro, and A. Cappio-Borlina. 2004. A multivariate approach to modeling shapes of individual lactation curves in cattle. J. Dairy Sci. 87:1092-1098.
5. Olori, V. E., W. G. Hill, B. J. McGuirk, and S. Brotherstone. 1999. Estimating variance components for test-day milk records by restricted maximum likelihood with a random regression animal model. Livest. Prod. Sci. 61:53-63.
6. Pool, M. H., and T. H. E. Meuwissen. 2000. Reduction of the number of parameters needed for a polynomial random regression test day model. Livest. Prod. Sci. 64:133-145.
7. Searle, S. R. 1966. Matrix Algebra for the Biological Science. John Wiley & Sons, Inc., New York, NY.
8. Togashi, K., Y. Atagi, J. Sato, T. Shirai, H. Takeda, and T. Yamazaki. 2005. Index selection for increased milk yield in mid and late lactation with the highest probability. Sustain. Livest. Prod. Hum. Welf. 59:877-881.
9. Togashi, K., and C. Y. Lin. 2003. Modifying the lactation curve to improve lactation milk and persistency. J. Dairy Sci. 86:1487-1493.
10. Togashi, K., and C. Y. Lin. 2004a. Development of an optimal index to improve lactation yield and persistency with the least selection intensity. J. Dairy Sci. 87:3047-3052.
11. Togashi, K., and C. Y. Lin. 2004b. Efficiency of different selection criteria for persistency and lactation milk yield. J. Dairy Sci. 87:1528-1535.
12. Van der Werf, J. H. J., M. E. Goddard, and K. Meyer. 1998. The use of covariance functions and random regressions for genetic evaluation of milk production based on test day records. J. Dairy Sci. 81:3300-3308.