Literature DB >> 29290427

Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows.

Hugo Toledo-Alvarado1, Ana I Vazquez2, Gustavo de Los Campos2, Robert J Tempelman3, Giovanni Bittante1, Alessio Cecchinato4.   

Abstract

Data on Holstein (16,890), Brown Swiss (31,441), Simmental (25,845), and Alpine Grey (12,535) cows reared in northeastern Italy were used to assess the ability of milk components (fat, protein, casein, and lactose) and Fourier transform infrared (FTIR) spectral data to diagnose pregnancy. Pregnancy status was defined as whether a pregnancy was confirmed by a subsequent calving and no other subsequent inseminations within 90 d of the breeding of specific interest. Milk samples were analyzed for components and FTIR full-spectrum data using a MilkoScan FT+ 6000 (Foss Electric, Hillerød, Denmark). The spectrum covered 1,060 wavenumbers (wn) from 5,010 to 925 cm-1. Pregnancy status was predicted using generalized linear models with fat, protein, lactose, casein, and individual FTIR spectral bands or wavelengths as predictors. We also fitted a generalized linear model as a simultaneous function of all wavelengths (1,060 wn) with a Bayesian variable selection model using the BGLR R-package (https://r-forge.r-project.org/projects/bglr/). Prediction accuracy was determined using the area under a receiver operating characteristic curve based on a 10-fold cross-validation (CV-AUC) assessment based on sensitivities and specificities of phenotypic predictions. Overall, the best prediction accuracies were obtained for the model that included the complete FTIR spectral data. We observed similar patterns across breeds with small differences in prediction accuracy. The highest CV-AUC value was obtained for Alpine Grey cows (CV-AUC = 0.645), whereas Brown Swiss and Simmental cows had similar performance (CV-AUC = 0.630 and 0.628, respectively), followed by Holsteins (CV-AUC = 0.607). For single-wavelength analyses, important peaks were detected at wn 2,973 to 2,872 cm-1 where Fat-B (C-H stretch) is usually filtered, wn 1,773 cm-1 where Fat-A (C=O stretch) is filtered, wn 1,546 cm-1 where protein is filtered, wn 1,468 cm-1 associated with urea and fat, wn 1,399 and 1,245 cm-1 associated with acetone, and wn 1,025 to 1,013 cm-1 where lactose is filtered. In conclusion, this research provides new insight into alternative strategies for pregnancy screening of dairy cows.
Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fourier transform infrared spectroscopy; milk; milk component; pregnancy

Mesh:

Substances:

Year:  2017        PMID: 29290427     DOI: 10.3168/jds.2017-13647

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


  7 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.  Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle.

Authors:  Toshimi Baba; Sara Pegolo; Lucio F M Mota; Francisco Peñagaricano; Giovanni Bittante; Alessio Cecchinato; Gota Morota
Journal:  Genet Sel Evol       Date:  2021-03-16       Impact factor: 4.297

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.  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

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

Review 7.  Infrared Spectrometry as a High-Throughput Phenotyping Technology to Predict Complex Traits in Livestock Systems.

Authors:  Tiago Bresolin; João R R Dórea
Journal:  Front Genet       Date:  2020-08-20       Impact factor: 4.599

  7 in total

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