JDS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Interpretive Summary
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Macciotta, N. P. P.
Right arrow Articles by Cappio-Borlino, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Macciotta, N. P. P.
Right arrow Articles by Cappio-Borlino, A.
J. Dairy Sci. 87:1092-1098
© American Dairy Science Association, 2004.

A Multivariate Approach to Modeling Shapes of Individual Lactation Curves in Cattle

N. P. P. Macciotta1, D. Vicario2, Corrado Di Mauro1 and A. Cappio-Borlino1

1 Dipartimento di Scienze Zootecniche, Università di Sassari, Via De Nicola 9, 07100 Sassari, Italy
2 Italian Association of Simmental Breeders, Via Nievo 19, 33100 Udine, Italy

Corresponding author: N. P. P. Macciotta; e-mail: macciott{at}uniss.it.

Milk test-day records of 5728 lactations of Italian Simmental cows were analyzed with multivariate factor analysis in order to extract 2 common factors, whose scores were used as quantitative measures of 2 main features of lactation curve shape—i.e., the increasing rate of yield in the first part of lactation and the rate of decline of milk yield after the lactation peak. The 2 indices, objectively derived from the correlation matrix of original test-day records, showed a high discriminant power in separating lactation curves with different shapes. The weak correlation between the 2 factors (0.11), together with the high correlation of factors and the total 305-d yield (about 0.70), suggests that an increase in lactation yield could be achieved by acting only on one of the 2 factors related to lactation-curve shape, with the other kept constant at a medium or low value. The suitability of the 2 factors as descriptors of lactation patterns has been confirmed by the relationships found between factor scores and the main environmental effects known to affect the shape of the lactation curve, such as parity and season of calving.

Key Words: lactation curve • lactation peak • test day • multivariate factor analysis

Abbreviation key: TD = test day




This article has been cited by other articles:


Home page
J DAIRY SCIHome page
K. Togashi and C. Y. Lin
Genetic Modification of the Lactation Curve by Bending the Eigenvectors of the Additive Genetic Random Regression Coefficient Matrix
J Dairy Sci, December 1, 2007; 90(12): 5753 - 5758.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
A. M. Sogstad, O. Osteras, T. Fjeldaas, and A. O. Refsdal
Bovine Claw and Limb Disorders at Claw Trimming Related to Milk Yield
J Dairy Sci, February 1, 2007; 90(2): 749 - 759.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
K. Togashi and C. Y. Lin
Selection for Milk Production and Persistency Using Eigenvectors of the Random Regression Coefficient Matrix
J Dairy Sci, December 1, 2006; 89(12): 4866 - 4873.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
N. P. P. Macciotta, D. Vicario, and A. Cappio-Borlino
Use of multivariate analysis to extract latent variables related to level of production and lactation persistency in dairy cattle.
J Dairy Sci, August 1, 2006; 89(8): 3188 - 3194.
[Abstract] [Full Text] [PDF]


Home page
J DAIRY SCIHome page
C. Y. Lin and K. Togashi
Maximization of Lactation Milk Production Without Decreasing Persistency
J Dairy Sci, August 1, 2005; 88(8): 2975 - 2980.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2004 by the American Dairy Science Association ®.