Literature DB >> 27179856

Genetic and environmental variation in bovine milk infrared spectra.

Qiuyu Wang1, Alex Hulzebosch2, Henk Bovenhuis2.   

Abstract

Fourier transform infrared (FTIR) spectroscopy is widely used to determine milk composition. In this study, 1,060 milk infrared wavenumbers ranging from 925 to 5,008cm(-1) of 1,748 Holstein Friesian cows on 371 herds in the Netherlands were available. The extent to which infrared wavenumbers are affected by genetic and environmental factors was investigated. Inter-herd heritabilities of 1,060 infrared wavenumbers ranged from 0 to 0.63, indicating that the genetic background of infrared wavenumbers differs considerably. The majority of the wavenumbers have moderate to high inter-herd heritabilities ranging from 0.20 to 0.60. The diacylglycerol O-acyltransferase 1 (DGAT1), stearoyl-CoA desaturase (SCD1), κ-casein (CSN3), and β-lactoglobulin (LGB) polymorphisms are known to have a large effect on milk composition, and therefore we studied the effects of these polymorphisms on infrared wavenumbers. The DGAT1 polymorphism had highly significant effects on many wavenumbers. In contrast, the SCD1 polymorphism did not significantly affect any of the wavenumbers. The SCD1 is known to have a strong effect on the content of C10:1, C12:1, C14:1, and C16:1 fatty acids. Therefore, these results suggest that FTIR spectra contain little direct information on these monounsaturated fatty acids. The CSN3 and LGB polymorphisms had significant effects on a few wavenumbers. Differences between herds explained 10 to 25% of the total variance for most wavenumbers. This suggests that the wavenumbers of milk FTIR spectra are indicative for differences in feeding and management between herds. The wavenumbers between 1,619 and 1,674cm(-1) and between 3,073 and 3,667cm(-1) are strongly influenced by water absorption and usually excluded when setting up prediction equations. However, we found that some of the wavenumbers in the water absorption region are affected by the DGAT1 polymorphism and lactation stage. This suggests that these wavenumbers contain useful information regarding milk composition.
Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  FTIR wavenumbers; bovine milk; genetic polymorphisms; herd; heritability

Mesh:

Substances:

Year:  2016        PMID: 27179856     DOI: 10.3168/jds.2015-10488

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


  8 in total

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Journal:  Animals (Basel)       Date:  2021-04-22       Impact factor: 2.752

2.  Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition.

Authors:  G Gebreyesus; A J Buitenhuis; N A Poulsen; M H P W Visker; Q Zhang; H J F van Valenberg; D Sun; H Bovenhuis
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Review 3.  The evolving role of Fourier-transform mid-infrared spectroscopy in genetic improvement of dairy cattle.

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Journal:  J Anim Sci Biotechnol       Date:  2020-04-17

4.  Genome-wide association study on Fourier transform infrared milk spectra for two Danish dairy cattle breeds.

Authors:  R M Zaalberg; L Janss; A J Buitenhuis
Journal:  BMC Genet       Date:  2020-01-31       Impact factor: 2.797

5.  The heritable landscape of near-infrared and Raman spectroscopic measurements to improve lipid content in Atlantic salmon fillets.

Authors:  Gareth F Difford; Siri S Horn; Katinka R Dankel; Bente Ruyter; Binyam S Dagnachew; Borghild Hillestad; Anna K Sonesson; Nils K Afseth
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6.  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

7.  Phenotypic and genetic variation of ultraviolet-visible-infrared spectral wavelengths of bovine meat.

Authors:  Giovanni Bittante; Simone Savoia; Alessio Cecchinato; Sara Pegolo; Andrea Albera
Journal:  Sci Rep       Date:  2021-07-06       Impact factor: 4.379

8.  Genetic Analysis of Milk Production Traits and Mid-Infrared Spectra in Chinese Holstein Population.

Authors:  Chao Du; Liangkang Nan; Lei Yan; Qiuyue Bu; Xiaoli Ren; Zhen Zhang; Ahmed Sabek; Shujun Zhang
Journal:  Animals (Basel)       Date:  2020-01-15       Impact factor: 2.752

  8 in total

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