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AbstractFull Text

The widespread use of genomic information in dairy cattle breeding programs has presented the opportunity to select for feed intake and feed efficiency. This is because animals from research herds can be used as a reference population to calibrate a genomic prediction equation, which is then used...

Author(s)
Veerkamp, R. F.; Haas, Y. de; Pryce, J. E.; Coffey, M. P.; Spurlock, D. M.; Vandehaar, M. J.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2015, No.19, pp 191-198
AbstractFull Text

Australian dairy farmers record health data for 3 main reasons: 1. farm management decisions at an individual cow and a herd level; 2. to comply with farm quality assurance schemes (e.g. drug usage and withholding periods); and, 3. genetic evaluations. There are at least 10 different farm...

Author(s)
Pryce, J. E.; Blake, M.; Davis, K. E.; Beggs, D. S.
Publisher
International Committee for Animal Recording (ICAR), Roma, Italy
Citation
ICAR Technical Series, 2013, No.17, pp 47-53
Abstract

First parity body condition score (BCS) data from the Holstein Association of Australia recorded between 1999 and 2012 were used to determine the heritability and genetic and environmental correlations of BCS with other economically important traits. Heritability estimates of BCS were 0.16 and 0.22 ...

Author(s)
Haile-Mariam, M.; Butler, R.; Pryce, J. E.
Publisher
Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia
Citation
Proceedings of the Twentieth Conference of the Association for the Advancement of Animal Breeding and Genetics, Translating Science into Action, Napier, New Zealand, 20th-23rd October 2013, 2013, pp 315-318
AbstractFull Text

In this study, we have demonstrated that using dry matter intake (DMI) phenotypes from multiple countries increases the accuracy of genomic breeding values for this important trait, provided a multi-trait approach is used. Data from Australia, Canada, Denmark, Germany, Ireland, the Netherlands, New ...

Author(s)
Haas, Y. de; Pryce, J. E.; Calus, M. P. L.; Hulsegge, I.; Spurlock, D. M.; Berry, D.; Wall, E.; Løvendahl, P.; Weigel, K. A.; Macdonald, K.; Miglior, F.; Krattenmacher, N.; Veerkamp, R. F.
Publisher
Interbull Centre, Uppsala, Sweden
Citation
Interbull Bulletin, 2014, No.48, pp 94-99
AbstractFull Text

Temperature and humidity levels above a certain threshold decrease milk production in dairy cows, and there is genetic variation associated with the amount of lost production. To enable selection for improved heat tolerance, we first developed genomic estimated breeding values (GEBV) for heat...

Author(s)
Nguyen, T. T. T.; Garner, J.; Douglas, M.; Williams, R. O.; Wales, W. J.; Marett, L. C.; Bowman, P. J.; Reich, C.; Haile-Mariam, M.; Pryce, J. E.; Wales, W.; Abernethy, D.; Nieuwhof, G. J.; Hayes, B. J.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2017, No.21, pp 85-92
Abstract

Examples of traits related to feed resource efficiency are residual feed intake (RFI) and methane (CH4) emission. In an experimental dataset of 588 heifers, we showed that it is possible to decrease CH4 emission (predicted on dry matter intake (DMI) and ration) by selecting more efficient cows...

Author(s)
Haas, Y. de; Pryce, J. E.; Dijkstra, J.; Wall, E.; Veerkamp, R. F.
Publisher
Association for the Advancement of Animal Breeding and Genetics, Armidale, Australia
Citation
Proceedings of the Twentieth Conference of the Association for the Advancement of Animal Breeding and Genetics, Translating Science into Action, Napier, New Zealand, 20th-23rd October 2013, 2013, pp 303-306
AbstractFull Text

The widespread use of genomic information in dairy cattle breeding programs has opened up the possibility to select for novel traits, especially for traits that are traditionally difficult to record in a progeny testing scheme. Feed intake and efficiency is such a difficult to measure trait. In...

Author(s)
Veerkamp, R. F.; Pryce, J. E.; Spurlock, D.; Berry, D.; Coffey, M.; Løvendahl, P.; Linde, R. van der; Bryant, J.; Miglior, F.; Wang ZhiQuan; Winters, M.; Krattenmacher, N.; Charfeddine, N.; Pedersen, J.; Haas, Y. de
Publisher
Interbull Centre, Uppsala, Sweden
Citation
Interbull Bulletin, 2013, No.47, pp 15-22
Abstract

Due to lack of good quality fertility data on large numbers of cows, genetic evaluation for fertility in Australian dairy cattle is based on calving interval (CI) and days from calving to first service (CFS) interval. In this study the advantages of using additional traits such as lactation length...

Author(s)
Haile-Mariam, M.; Pryce, J. E.
Publisher
Australasian Dairy Science Symposium, Tallygaroopna, Australia
Citation
Australasian Dairy Science Symposium 2012. Proceedings of the 5th Australasian Dairy Science Symposium, Melbourne, Australia, 13-15 November 2012, 2012, pp 298-301
AbstractFull Text

Claw and foot disorders causing lameness are among the major culling reasons in dairy cattle around the world and play a significant role in farm profitability and compromised animal welfare. In recent years, several countries have started routine recording of claw health data. Documentation of...

Author(s)
Christen, M.; Bergsten, C.; Burgstaller, J.; Capion, N.; Charfeddine, N.; Clarke, J.; Daniel, V.; Döpfer, D.; Fiedler, A.; Fjeldaas, T.; Heringstad, B.; Cramer, G.; Kofler, J.; Mueller, K.; Nielsen, P.; Oakes, E.; Ødegard, C.; O'Driscoll, K.; Pryce, J. E.; Steiner, A.; Stock, K. F.; Thomas, G.; Ulvshammar, K.; Holzhauer, M.; Cole, J.; Egger-Danner, C.
Publisher
International Committee for Animal Recording (ICAR), Rome, Italy
Citation
ICAR Technical Series, 2015, No.19, pp 157-165
Abstract

Excessive ambient temperature and humidity can impair milk production and fertility of dairy cows. Selection for heat-tolerant animals is one possible option to mitigate the effects of heat stress. To enable selection for this trait, we describe the development of a heat tolerance breeding value...

Author(s)
Nguyen, T. T. T.; Bowman, P. J.; Haile-Mariam, M.; Nieuwhof, G. J.; Pryce, J. E.
Publisher
Elsevier Inc., Philadelphia, USA
Citation
Journal of Dairy Science, 2017, 100, 9, pp 7362-7367

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