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

Spectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavele...

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Autores principales: Bittante, Giovanni, Savoia, Simone, Cecchinato, Alessio, Pegolo, Sara, Albera, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260661/
https://www.ncbi.nlm.nih.gov/pubmed/34230594
http://dx.doi.org/10.1038/s41598-021-93457-5
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author Bittante, Giovanni
Savoia, Simone
Cecchinato, Alessio
Pegolo, Sara
Albera, Andrea
author_facet Bittante, Giovanni
Savoia, Simone
Cecchinato, Alessio
Pegolo, Sara
Albera, Andrea
author_sort Bittante, Giovanni
collection PubMed
description Spectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle.
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spelling pubmed-82606612021-07-08 Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat Bittante, Giovanni Savoia, Simone Cecchinato, Alessio Pegolo, Sara Albera, Andrea Sci Rep Article Spectroscopic predictions can be used for the genetic improvement of meat quality traits in cattle. No information is however available on the genetics of meat absorbance spectra. This research investigated the phenotypic variation and the heritability of meat absorbance spectra at individual wavelengths in the ultraviolet–visible and near-infrared region (UV–Vis-NIR) obtained with portable spectrometers. Five spectra per instrument were taken on the ribeye surface of 1185 Piemontese young bulls from 93 farms (13,182 Herd-Book pedigree relatives). Linear animal model analyses of 1481 single-wavelengths from UV–Vis-NIRS and 125 from Micro-NIRS were carried out separately. In the overlapping regions, the proportions of phenotypic variance explained by batch/date of slaughter (14 ± 6% and 17 ± 7%,), rearing farm (6 ± 2% and 5 ± 3%), and the residual variances (72 ± 10% and 72 ± 5%) were similar for the UV–Vis-NIRS and Micro-NIRS, but additive genetics (7 ± 2% and 4 ± 2%) and heritability (8.3 ± 2.3% vs 5.1 ± 0.6%) were greater with the Micro-NIRS. Heritability was much greater for the visible fraction (25.2 ± 11.4%), especially the violet, blue and green colors, than for the NIR fraction (5.0 ± 8.0%). These results allow a better understanding of the possibility of using the absorbance of visible and infrared wavelengths correlated with meat quality traits for the genetic improvement in beef cattle. Nature Publishing Group UK 2021-07-06 /pmc/articles/PMC8260661/ /pubmed/34230594 http://dx.doi.org/10.1038/s41598-021-93457-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bittante, Giovanni
Savoia, Simone
Cecchinato, Alessio
Pegolo, Sara
Albera, Andrea
Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title_full Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title_fullStr Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title_full_unstemmed Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title_short Phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
title_sort phenotypic and genetic variation of ultraviolet–visible-infrared spectral wavelengths of bovine meat
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260661/
https://www.ncbi.nlm.nih.gov/pubmed/34230594
http://dx.doi.org/10.1038/s41598-021-93457-5
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