References of "Berry, D.P"
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See detailPhenotyping of robustness and milk quality
Berry, D.P.; McParland, S.; Bastin, Catherine ULg et al

in Advances in Animal Biosciences (2013), 4(3), 600-605

A phenotype describes the outcome of the interacting development between the genotype of an individual and its specific environment throughout life. Animal breeding currently exploits large data sets of ... [more ▼]

A phenotype describes the outcome of the interacting development between the genotype of an individual and its specific environment throughout life. Animal breeding currently exploits large data sets of phenotypic and pedigree information to estimate the genetic merit of animals. Here we describe rapid, low-cost phenomic tools for dairy cattle. We give particular emphasis to infrared spectroscopy of milk because the necessary spectral data are already routinely available on milk samples from individual cows and herds, and therefore the operational cost of implementing such a phenotyping strategy is minimal. The accuracy of predicting milk quality traits from mid-infrared spectroscopy (MIR) analysis of milk, although dependent on the trait under investigation, is particularly promising for differentiating between good and poor-quality dairy products. Many fatty acid concentrations in milk, and in particular saturated fatty acid content, can be very accurately predicted from milk MIR. These results have been confirmed in many international populations. Albeit from only two studied populations investigated in the RobustMilk project, milk MIR analysis also appears to be a reasonable predictor of cow energy balance, a measure of animal robustness; high accuracy of prediction was not expected as the gold standard method of measuring energy balance in those populations was likely to contain error. Because phenotypes predicted from milk MIR are available routinely from milk testing, longitudinal data analyses could be useful to identify animals of superior genetic merit for milk quality and robustness, as well as for monitoring changes in milk quality and robustness because of management, while simultaneously accounting for the genetic merit of the animals. These sources of information can be very valuable input parameters in decision-support tools for both milk producers and processors. [less ▲]

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See detailUsing fatty acid contents in milk to improve fertility of dairy cows?
Bastin, Catherine ULg; Berry, D.P.; Soyeurt, Hélène ULg et al

Poster (2012, February 10)

Improving dairy cow fertility by means of genetic selection has become increasingly important over the last years in order to overcome the declining cow fertility. This study investigated whether the ... [more ▼]

Improving dairy cow fertility by means of genetic selection has become increasingly important over the last years in order to overcome the declining cow fertility. This study investigated whether the fatty acids profile in milk could be used as an early predictor of genetic merit for fertility. Genetic covariances among 17 fatty acid contents in milk and the number of days from calving to conception were estimated from 29,792 first-parity Holstein cows. Results substantiated the unfavorable relationship among fertility and body fat mobilization in early lactation. Also, about 75% of the genetic variability of fertility was explained by the variability in milk fatty acids profile over the lactation indicating that these traits could be used to supplement genetic evaluations for fertility. [less ▲]

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See detailUse of milk fatty acids to substitute for body condition score in breeding purposes
Bastin, Catherine ULg; Berry, D.P.; Soyeurt, Hélène ULg et al

in Journal of Dairy Science (2012), 95, Suppl. 2

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See detailConsequences of selection for milk quality and robustness traits
Bastin, Catherine ULg; Berry, D.P.; Coffey, M.P. et al

in Interbull Bulletin (2012), 44

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See detailInternational genomic co-operation; Who, what, when, where, why and how?
Cromie, A. R.; Berry, D. P.; Wickham, B. et al

in Interbull Bulletin (2010), 42

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