Literature DB >> 30343907

Genetic analysis of Fourier transform infrared milk spectra in Danish Holstein and Danish Jersey.

R M Zaalberg1, N Shetty2, L Janss2, A J Buitenhuis2.   

Abstract

Fourier transform infrared milk spectral data are routinely used for milk quality control and have been revealed to be driven by genetics. This study aimed to (1) estimate heritability for 1,060 wavenumbers in the infrared region from 5,008 to 925 cm-1, (2) estimate genomic correlations between wavenumbers with increased heritability, and (3) compare results between Danish Holstein and Danish Jersey cows. For Danish Holstein, 3,275 cows and 19,656 milk records were available. For Danish Jersey, 3,408 cows and 20,228 milk records were available. We used a hierarchical mixed model, with a Bayesian approach. Heritability of individual wavenumbers ranged from 0.00 to 0.31 in Danish Holstein, and from 0.00 to 0.30 in Danish Jersey. Genomic correlation was calculated between 15 selected wavenumbers, and varied from weak to very strong, in both Danish Holstein and Danish Jersey (0.03 to 0.97, and -0.11 to -0.97). Within the 15 selected wavenumbers, a subdivision into 2 groups of wavenumbers was observed, where genomic correlations were negative between groups, and positive within groups. Heritability and genomic correlations were higher in Danish Holstein compared with Danish Jersey, but followed a similar pattern in both breeds. Breed differences were most pronounced in the mid-infrared region that interacts with lactose and the spectral region that interacts with protein. In conclusion, heritability for individual wavenumbers of Fourier transform milk spectra was moderate, and strong genomic correlations were observed between wavenumbers across the spectrum. Heritability and genomic correlations were higher in Danish Holstein, with the strongest breed differences showing in spectral regions interacting with protein or lactose. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  breed difference; genomic correlation; heritability; mid infrared

Mesh:

Substances:

Year:  2018        PMID: 30343907     DOI: 10.3168/jds.2018-14464

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


  6 in total

1.  Influence of Estrus on the Milk Characteristics and Mid-Infrared Spectra of Dairy Cows.

Authors:  Chao Du; Liangkang Nan; Chunfang Li; Ahmed Sabek; Haitong Wang; Xuelu Luo; Jundong Su; Guohua Hua; Yabing Ma; Shujun Zhang
Journal:  Animals (Basel)       Date:  2021-04-22       Impact factor: 2.752

Review 2.  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

3.  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

4.  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
Journal:  Genet Sel Evol       Date:  2021-02-05       Impact factor: 4.297

5.  Validation of Dairy Cow Bodyweight Prediction Using Traits Easily Recorded by Dairy Herd Improvement Organizations and Its Potential Improvement Using Feature Selection Algorithms.

Authors:  Anthony Tedde; Clément Grelet; Phuong N Ho; Jennie E Pryce; Dagnachew Hailemariam; Zhiquan Wang; Graham Plastow; Nicolas Gengler; Yves Brostaux; Eric Froidmont; Frédéric Dehareng; Carlo Bertozzi; Mark A Crowe; Isabelle Dufrasne; Hélène Soyeurt
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

6.  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

  6 in total

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