Phenotyping of robustness and milk quality

DP Berry, S McParland, C Bastin, E Wall, N Gengler, H Soyeurt

Research output: Contribution to journalArticle

Abstract

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.
Original languageEnglish
Pages (from-to)600 - 605
Number of pages6
JournalAdvances in Animal Biosciences
Volume4
Issue number3
DOIs
Publication statusPrint publication - Jul 2013

Fingerprint

milk quality
infrared spectroscopy
phenotype
milk
genetic merit
energy balance
cows
milk analysis
animals
animal breeding
information sources
pedigree
spectral analysis
gold
dairy products
dairy cattle
saturated fatty acids
fatty acid composition
herds
prediction

Bibliographical note

1023260

Keywords

  • Dairy
  • Infrared
  • Low cost
  • Phenotype
  • Rapid

Cite this

Berry, DP., McParland, S., Bastin, C., Wall, E., Gengler, N., & Soyeurt, H. (2013). Phenotyping of robustness and milk quality. Advances in Animal Biosciences, 4(3), 600 - 605. https://doi.org/10.1017/S2040470013000150
Berry, DP ; McParland, S ; Bastin, C ; Wall, E ; Gengler, N ; Soyeurt, H. / Phenotyping of robustness and milk quality. In: Advances in Animal Biosciences. 2013 ; Vol. 4, No. 3. pp. 600 - 605.
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Berry, DP, McParland, S, Bastin, C, Wall, E, Gengler, N & Soyeurt, H 2013, 'Phenotyping of robustness and milk quality', Advances in Animal Biosciences, vol. 4, no. 3, pp. 600 - 605. https://doi.org/10.1017/S2040470013000150

Phenotyping of robustness and milk quality. / Berry, DP; McParland, S; Bastin, C; Wall, E; Gengler, N; Soyeurt, H.

In: Advances in Animal Biosciences, Vol. 4, No. 3, 07.2013, p. 600 - 605.

Research output: Contribution to journalArticle

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AU - Bastin, C

AU - Wall, E

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Berry DP, McParland S, Bastin C, Wall E, Gengler N, Soyeurt H. Phenotyping of robustness and milk quality. Advances in Animal Biosciences. 2013 Jul;4(3):600 - 605. https://doi.org/10.1017/S2040470013000150