Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 546617
Title Predicting milk phosphorus content based on genotypic and milk infrared data
Author(s) Bovenhuis, H.; Jibrila, I.; Dijkstra, J.
Source In: Proceedings of the World Congress on Genetics Applied to Livestock Production. - WCGALP - 5 p.
Event 11th World Congress on Genetics Applied to Livestock Production, Auckland, 2018-02-11/2018-02-16
Department(s) WIAS
Animal Breeding and Genomics
Animal Breeding & Genomics
Animal Nutrition
Publication type Contribution in proceedings
Publication year 2018
Abstract Predicting milk phosphorus content based on genotypic and milk infrared data rlands A cheap and accurate method for estimating milk P content of individual cows would better allow farmers to feed their cows according to their P requirements. This study aimed at predicting milk P content based on different information sources: routinely recorded milk composition traits, genotypic data and infrared spectra. Data of 1400 Dutch Holstein-Friesian cows was used. Prediction models were developed using the Partial Least Squares Regression and validated using test set validation. Prediction of milk P content based on protein content has an R2v of 41%. Prediction based on genotypes for the DGAT1 K232A polymorphism and the SNP rs29019625 (BTA1, close to SLC37A1) result in R2v of 8.7% and 4.7%, respectively. Based on the infrared spectrum the R2v for milk P content was 84%. We quantified that phosphorus efficiency can be improved with 17% when feeding cows based on the developed infrared prediction for milk P content. Key words: milk phosphorus, infrared, prediction, efficiency.
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