Literature DB >> 17699065

Genetic variability of lactoferrin content estimated by mid-infrared spectrometry in bovine milk.

H Soyeurt1, F G Colinet, V M-R Arnould, P Dardenne, C Bertozzi, R Renaville, D Portetelle, N Gengler.   

Abstract

The effects of lactoferrin (LF) on the immune system have already been shown by many studies. Unfortunately, the current methods used to measure LF levels in milk do not permit the study of the genetic variability of lactoferrin or the performance of routine genetic evaluations. The first aim of this research was to derive a calibration equation permitting the prediction of LF in milk by mid-infrared spectrometry (MIR). The calibration with partial least squares on 69 samples showed a ratio of standard error of cross-validation to standard deviation equal to 1.98. Based on this value, the calibration equation was used to establish an LF indicator trait (predicted LF; pLF) on a large number of milk samples (n = 7,690). A subsequent study of its variability was conducted, which confirmed that stage of lactation and lactation number influence the overall pLF level. Small differences in mean pLF among 7 dairy breeds were also observed. The pLF content of Jersey milk was significantly higher than that in Holstein milk. Therefore, the choice of breed could change the expected LF level. Heritability estimated for pLF was 19.7%. The genetic and phenotypic correlations between somatic cell score and pLF were 0.04 and 0.26, respectively. As somatic cell score increases in presence of mastitis, this observation seems to indicate that pLF, or a function of observed pLF, compared with expected LF might have potential as an indicator of mastitis. The negative genetic correlation (-0.36) between milk yield and pLF could indicate an undesirable effect of selection for high milk production on the overall LF level.

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Year:  2007        PMID: 17699065     DOI: 10.3168/jds.2006-827

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  From cow to cheese: genetic parameters of the flavour fingerprint of cheese investigated by direct-injection mass spectrometry (PTR-ToF-MS).

Authors:  Matteo Bergamaschi; Alessio Cecchinato; Franco Biasioli; Flavia Gasperi; Bruno Martin; Giovanni Bittante
Journal:  Genet Sel Evol       Date:  2016-11-16       Impact factor: 4.297

2.  Structural equation modeling for investigating multi-trait genetic architecture of udder health in dairy cattle.

Authors:  Sara Pegolo; Mehdi Momen; Gota Morota; Guilherme J M Rosa; Daniel Gianola; Giovanni Bittante; Alessio Cecchinato
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

Review 3.  The evolving role of Fourier-transform mid-infrared spectroscopy in genetic improvement of dairy cattle.

Authors:  K M Tiplady; T J Lopdell; M D Littlejohn; D J Garrick
Journal:  J Anim Sci Biotechnol       Date:  2020-04-17

4.  Sequence-based genome-wide association study of individual milk mid-infrared wavenumbers in mixed-breed dairy cattle.

Authors:  Kathryn M Tiplady; Thomas J Lopdell; Edwardo Reynolds; Richard G Sherlock; Michael Keehan; Thomas Jj Johnson; Jennie E Pryce; Stephen R Davis; Richard J Spelman; Bevin L Harris; Dorian J Garrick; Mathew D Littlejohn
Journal:  Genet Sel Evol       Date:  2021-07-20       Impact factor: 4.297

5.  Selecting the quality of mule duck fatty liver based on near-infrared spectroscopy.

Authors:  Christel Marie-Etancelin; Zulma G Vitezica; Laurent Bonnal; Xavier Fernandez; Denis Bastianelli
Journal:  Genet Sel Evol       Date:  2014-06-10       Impact factor: 4.297

  5 in total

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