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The use of mid-infrared spectral data to predict traits for genetic selection in dairy cattle

Code: 9781786765611
Nicolas Gengler and Hélène Soyeurt, University of Liège, Belgium

Chapter synopsis: Even in the era of genomic selection, relevant phenotypes are still needed and therefore phenotyping through the precise monitoring of the status of the cows, and their health, behaviour, and well-being as well as their environmental impact and the quality of their products is essential. The arrival of mid-infrared (MIR) based phenotypes have made a significant impact, as they can be obtained cheaply and quickly, are usable on a large scale, and are robust and reliable. This chapter covers the state of the art, the opportunities, and also the issues that need to be addressed in order to allow the even more successful use of MIR for genetic selection of dairy cattle. The authors cover different topics from the development of MIR-based prediction equations, their specificities in modelling, and their use in animal breeding. The latest developments and opportunities related to this novel technology for genetic and genomic selection in dairy cattle are also discussed.

DOI: 10.19103/AS.2019.0058.15
Table of contents 1 Introduction 2 Mid-infrared spectrometry and development of prediction equations 3 New phenotypes for novel breeding objectives 4 Predicting and using milk composition, milk and milk product quality traits 5 Predicting and using animal health, fertility and metabolic status traits 6 Predicting and using animal well-being and behavioural traits 7 Predicting and using environmental impact and adaptation traits 8 Limitations related to the prediction of MIR traits 9 Modelling MIR-based traits for genetic and genomic selection 10 Limitations related to the use of MIR-based traits in genetic selection and suggestions to mitigate these limitations 11 Conclusion and future trends 12 Where to look for further information 13 References

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