Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-19T22:53:00.476Z Has data issue: false hasContentIssue false

Genetic aspects of condition score, heart girth and milk-yield traits in Italian Friesian cows

Published online by Cambridge University Press:  27 February 2018

L. Gallo
Affiliation:
Department of Animal Science, University of Padova, Agripolis, 35020 Legnaro (PD), Italy
P. Carnier
Affiliation:
Department of Animal Science, University of Padova, Agripolis, 35020 Legnaro (PD), Italy
M. Cassandro
Affiliation:
Department of Animal Science, University of Padova, Agripolis, 35020 Legnaro (PD), Italy
R. Dal Zotto
Affiliation:
Department of Animal Science, University of Padova, Agripolis, 35020 Legnaro (PD), Italy
G. Bittante
Affiliation:
Department of Animal Science, University of Padova, Agripolis, 35020 Legnaro (PD), Italy
Get access

Abstract

Functional traits related to costs are currently of interest for selection and management of dairy cattle. The present study was aimed to estimate heritability for body condition score (BCS) and heart girth (HG), to investigate the genetic relationships between BCS, HG and milk-yield traits using a test-day model and to analyse the consistency of the estimates in different lactation stages. Cows from 25 dairy herds were scored for BCS and measured for HG at 3-month intervals for 2 years. Approximately 5000 test-day observations on BCS, HG and milk fat and protein yield from 1429 Italian Friesian cows were analysed using two approaches: (1) repeated observations were treated as repeated measurements of the same trait, both within and across lactations; (2) observations collected in different stages of lactation (dry period, 1 to 75 days in milk (DIM), 76 to 130 DIM, 131 to 210 DIM, 211 to 300 DIM) were treated as different traits. (Co)variance components and related parameters were estimated using REML multiple-trait procedures and unequal design animal models.

Heritability estimates (approach 1) for fat and protein test-day yield, BCS and HG were 0.22, 0.18, 0.29 and 0.33, respectively. BCS was negatively correlated with yield traits (-0.43 and -0.48 for fat and protein yield, respectively) but positively correlated (0.33) with HG. Genetic relationships between HG and milk-yield traits were negligible. Heritability estimates (approach 2) were 0.28 and 0.27 for BCS recorded in the first half of lactation (1 to 75 and 76 to 130 DIM, respectively), 0.36 for BCS measured on cows in the second half of lactation and 0.32 for BCS recorded on dry cows. Heritability estimates for HG in different lactation stages ranged from 0.31 to 0.40. Genetic correlations between BCS measured in different lactation stages were generally high (0.85 or more), with the exception of the correlation between the first and the last stage of lactation (0.74) and of the relationships between the beginning of lactation and the dry period (0.7). Genetic correlations between HG measured in different lactation stages were mostly higher than 0.80.

Type
Research Article
Copyright
Copyright © British Society of Animal Science 1999

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arendonk, J. A. M. van, Nieuwhof, G.J., Vos, H. and Korver, S. 1991. Genetic aspects of feed intake and efficiency in lactating dairy heifers. Livestock Production Science 29:263275.Google Scholar
Bauman, D. E. and Currie, W.B. 1980. Partitioning of nutrient during pregnancy and lactation: a review of mechanism involving homeostasis and homeorhesis. Journal of Dairy Science 63:15141529.Google Scholar
Danell, B. 1990. Genetic aspects of different parts of lactation. Proceedings of the fourth world congress on genetics applied to livestock production, Edinburgh, vol. 14, pp. 114117.Google Scholar
Domecq, J. J., Sjidmore, A. L., Lloyd, J. W. and Kaneene, J. B. 1997. Relationship between body condition score and conception at first artificial insemination in a large dairy herd of high yielding holstein cows. Journal of Dairy Science 80:113120.CrossRefGoogle Scholar
Edmonson, A. J., Lean, L. J., Weaver, L. D., Farver, T. and Webster, G. 1989. A body condition scoring chart for Holstein dairy cows. Journal of Dairy Science 72: 6878.CrossRefGoogle Scholar
Ferguson, J. D., Galligan, T. D. and Thomsen, N. 1994. Principal descriptors of body condition score in Holstein cows. Journal of Dairy Science 77:26952703.CrossRefGoogle ScholarPubMed
Gallo, L., Carnier, P., Cassandra, M., Mantovani, R., Bailoni, L., Contiero, B. and Bittante, G. 1996. Change in body condition score of Holstein cows as affected by parity and mature equivalent milk yield. Journal of Dairy Science 79:10091015.CrossRefGoogle ScholarPubMed
Groen, A. F. 1989. Economic values in cattle breeding. I. Influences of production circumstances in situations without output limitations. Livestock Production Science 22: 116.Google Scholar
Groeneveld, E. 1996. REML VCE a multivariate multi model restricted maximum likelihood (co)variance component estimation package. Version 3.2 user’s guide. Federal Research Centre of Agriculture, Mariensee, Germany.Google Scholar
Heinrichs, A. J., Rogers, G. W. and Cooper, J. B. 1992 Predicting body weight and wither height in Holstein heifers using body measurements. Journal of Dairy Science 75: 35763581.CrossRefGoogle ScholarPubMed
Koenen, E. P.C. and Groen, A. F. 1998. Genetic evaluation of body weight of lactating Holstein heifers using body measurements and conformation traits. Journal of Dairy Science 81:17091713.CrossRefGoogle ScholarPubMed
Moore, R. K., Kennedy, B. W., Schaeffer, L. R. and Moxley, J. E. 1992. Relationships between age and body weight at calving, feed intake, production, days open and selection indexes in Ayrshires and Holsteins. Journal of Dairy Science 75:294306.CrossRefGoogle Scholar
Pander, B. L., Hill, W. G. and Thompson, R. 1992. Genetic parameters of test day records of British Holstein-Friesian heifers. Animal Production 55:1121.Google Scholar
Persaud, P., Simm, G. and Hill, W. G. 1991. Genette and phenotypic parameters for yield, food intake and efficiency of dairy cows fed ad libitum. 1. Estimates for ‘total’ lactation measures and their relationship with live-weight traits. Animal Production 52:435444.Google Scholar
Reents, R., Jamrozik, J., Schaeffer, L. R. and Dekkers, J. C. M. 1995. Estimation of genetic parameters for test day records of somatic cell score. Journal of Dairy Science 78: 28472857.CrossRefGoogle ScholarPubMed
Ruegg, P. L. and Milton, R. L. 1995. Body condition score of Holstein cows on Prince Edward Island, Canada: relationships with yield, reproductive performance and disease. Journal of Dairy Science 78: 552564.Google Scholar
Statistical Analysis Systems Institute. 1990. SAS procedures guide, version 6, third edition. Statistical Analysis Systems Institute, Cary, NC.Google Scholar
Swalve, H. H. 1995. The effect of test day models on the estimation of genetic parameters and breeding values for dairy yield traits. Journal of Dairy Science 78:929938.CrossRefGoogle ScholarPubMed
Veerkamp, R. F. and Brotherstone, S. 1997. Genetic correlations between linear type traits, food intake, live weight and condition score in Holstein Friesian dairy cattle. Animal Science 64: 385392.CrossRefGoogle Scholar
Veerkamp, R. F., Simm, G. and Oldham, J. D. 1994. Effects of interaction between genotype and feeding system on milk production, feed intake, efficiency and body tissue mobilization in dairy cows. Livestock Production Science 39: 229241.Google Scholar
Villa Godoy, A., Hughes, T. L., Emery, R. S., Stanisiewsky, E. P. and Fogwell, R. L. 1990. Influence of energy balance and body condition on estrous cycles in Holstein heifers. Journal of Dairy Science 73:27592765.Google Scholar
Wildman, E. E., Jones, G. M., Wagner, P. E., Bowman, R. L., Troutt, H. F. and Lesch, T. N. 1982. A dairy cow body condition scoring system and its relationship to selected production characteristics. Journal of Dairy Science 65: 495501.CrossRefGoogle Scholar
Yerex, R. P., Young, C W., Donker, J. D. and Marx, G. D. 1988. Effects of selection for body size on feed efficiency and size of Holsteins. Journal of Dairy Science 71:13551360.Google Scholar