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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
02/02/2022 |
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Actualizado : |
02/02/2022 |
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Autor : |
PRIETO, N.; NAVAJAS, E.; RICHARDSON, R.I.; ROSS, D.W.; HYSLOP, J.J.; SIMM, G.; ROEHE, R. |
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Afiliación : |
N. PRIETO, Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK; ELLY ANA NAVAJAS VALENTINI, Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK; R.I. RICHARDSON, University of Bristol, Division of Farm Animal Science, Langford, Bristol, BS40 5DU, UK; D.W. ROSS, Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK; J.J. HYSLOP, Select Services, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK; G. SIMM, Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK; R. ROEHE, Sustainable Livestock Systems Group, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK. |
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Título : |
Predicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Meat Science, 2010, Volume 86, Issue 3, Pages 770-779. doi: https://doi.org/10.1016/j.meatsci.2010.06.020 |
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ISSN : |
0309-1740 |
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DOI : |
10.1016/j.meatsci.2010.06.020 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 February 2010; Received in revised form 18 June 2010; Accepted 21 June 2010. |
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Contenido : |
ABSTRACT.- The potential of X-ray computed tomography (CT) as a predictor of cuts composition and meat quality traits using a multivariate calibration method (partial least square regression, PLSR) was investigated in beef cattle. Sirloins from 88 crossbred Aberdeen Angus (AAx) and 106 Limousin (LIMx) cattle were scanned using spiral CT. Subsequently, they were dissected and analyzed for technological and sensory parameters, as well as for intramuscular fat (IMF) content and fatty acid composition. CT-PLSR calibrations, tested by cross-validation, were able to predict with high accuracy the subcutaneous fat (R2, RMSECV=0.94, 34.60 g and 0.92, 34.46 g), intermuscular fat (R2, RMSECV=0.81, 161.54 g and 0.86, 42.16 g), total fat (R2, RMSECV=0.89, 65.96 g and 0.93, 48.35 g) and muscle content (R2, RMSECV=0.99, 58.55 g and 0.97, 57.45 g) in AAx and LIMx samples, respectively. Accurate CT predictions were found for fatty acid profile (R2=0.61?0.75) and intramuscular fat content (R2=0.71?0.76) in both sire breeds. However, low to very low accuracies were obtained for technological and sensory traits with R2 ranged from 0.01 to 0.26. The image analysis evaluated provides the basis for an alternative approach to deliver very accurate predictions of cuts composition, IMF content and fatty acid profile with lower costs than the reference methods (dissection, chemical analysis), without damaging or depreciating the beef cuts.
© 2010 The American Meat Science Association. Published by Elsevier Ltd. All rights reserved. MenosABSTRACT.- The potential of X-ray computed tomography (CT) as a predictor of cuts composition and meat quality traits using a multivariate calibration method (partial least square regression, PLSR) was investigated in beef cattle. Sirloins from 88 crossbred Aberdeen Angus (AAx) and 106 Limousin (LIMx) cattle were scanned using spiral CT. Subsequently, they were dissected and analyzed for technological and sensory parameters, as well as for intramuscular fat (IMF) content and fatty acid composition. CT-PLSR calibrations, tested by cross-validation, were able to predict with high accuracy the subcutaneous fat (R2, RMSECV=0.94, 34.60 g and 0.92, 34.46 g), intermuscular fat (R2, RMSECV=0.81, 161.54 g and 0.86, 42.16 g), total fat (R2, RMSECV=0.89, 65.96 g and 0.93, 48.35 g) and muscle content (R2, RMSECV=0.99, 58.55 g and 0.97, 57.45 g) in AAx and LIMx samples, respectively. Accurate CT predictions were found for fatty acid profile (R2=0.61?0.75) and intramuscular fat content (R2=0.71?0.76) in both sire breeds. However, low to very low accuracies were obtained for technological and sensory traits with R2 ranged from 0.01 to 0.26. The image analysis evaluated provides the basis for an alternative approach to deliver very accurate predictions of cuts composition, IMF content and fatty acid profile with lower costs than the reference methods (dissection, chemical analysis), without damaging or depreciating the beef cuts.
© 2010 The American Meat Science Association. Published by E... Presentar Todo |
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Palabras claves : |
Beef quality; Carcass composition; Computed tomography; Fatty acids; Sensory characteristics; Technological parameters. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 02568naa a2200301 a 4500
001 1062727
005 2022-02-02
008 2010 bl uuuu u00u1 u #d
022 $a0309-1740
024 7 $a10.1016/j.meatsci.2010.06.020$2DOI
100 1 $aPRIETO, N.
245 $aPredicting beef cuts composition, fatty acids and meat quality characteristics by spiral computed tomography.$h[electronic resource]
260 $c2010
500 $aArticle history: Received 12 February 2010; Received in revised form 18 June 2010; Accepted 21 June 2010.
520 $aABSTRACT.- The potential of X-ray computed tomography (CT) as a predictor of cuts composition and meat quality traits using a multivariate calibration method (partial least square regression, PLSR) was investigated in beef cattle. Sirloins from 88 crossbred Aberdeen Angus (AAx) and 106 Limousin (LIMx) cattle were scanned using spiral CT. Subsequently, they were dissected and analyzed for technological and sensory parameters, as well as for intramuscular fat (IMF) content and fatty acid composition. CT-PLSR calibrations, tested by cross-validation, were able to predict with high accuracy the subcutaneous fat (R2, RMSECV=0.94, 34.60 g and 0.92, 34.46 g), intermuscular fat (R2, RMSECV=0.81, 161.54 g and 0.86, 42.16 g), total fat (R2, RMSECV=0.89, 65.96 g and 0.93, 48.35 g) and muscle content (R2, RMSECV=0.99, 58.55 g and 0.97, 57.45 g) in AAx and LIMx samples, respectively. Accurate CT predictions were found for fatty acid profile (R2=0.61?0.75) and intramuscular fat content (R2=0.71?0.76) in both sire breeds. However, low to very low accuracies were obtained for technological and sensory traits with R2 ranged from 0.01 to 0.26. The image analysis evaluated provides the basis for an alternative approach to deliver very accurate predictions of cuts composition, IMF content and fatty acid profile with lower costs than the reference methods (dissection, chemical analysis), without damaging or depreciating the beef cuts. © 2010 The American Meat Science Association. Published by Elsevier Ltd. All rights reserved.
653 $aBeef quality
653 $aCarcass composition
653 $aComputed tomography
653 $aFatty acids
653 $aSensory characteristics
653 $aTechnological parameters
700 1 $aNAVAJAS, E.
700 1 $aRICHARDSON, R.I.
700 1 $aROSS, D.W.
700 1 $aHYSLOP, J.J.
700 1 $aSIMM, G.
700 1 $aROEHE, R.
773 $tMeat Science, 2010, Volume 86, Issue 3, Pages 770-779. doi: https://doi.org/10.1016/j.meatsci.2010.06.020
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Treinta y Tres. |
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Fecha actual : |
04/01/2021 |
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Actualizado : |
26/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
RIET-CORREA, F.; SILVA DO CARMO, P. M.; UZAL, F. A. |
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Afiliación : |
FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PRISCILA MARIA SILVA DO CARMO, Hospital Veterinario. Centro de Saude e Tecnologia Rural. Univesidade Federal de Campina Grande, Brazil.; FRANCISCO A. UZAL, California Animal Health and Food Safety Laboratory. University of California-Davis, USA. |
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Título : |
Protothecosis and chlorellosis in sheep and goats: a review |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Veterinary Diagnostic Investigation, 2020, 5 p. DOI: https://doi.org/10.1177/1040638720978781 |
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Páginas : |
5 p. |
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DOI : |
10.1177/1040638720978781 |
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Idioma : |
Inglés |
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Notas : |
Article history: First Published December 15, 2020. |
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Contenido : |
Abstract.
Protothecosis and chlorellosis are sporadic algal diseases that can affect small ruminants. In goats, protothecosis is primarily associated with lesions in the nose and should be included in the differential diagnosis of causes of rhinitis. In sheep, chlorellosis causes typical green granulomatous lesions in various organs. Outbreaks of chlorellosis have been reported in sheep consuming stagnant water, grass from sewage-contaminated areas, and pastures watered by irrigation canals or by
effluents from poultry-processing plants. Prototheca and Chlorella are widespread in the environment, and environmental and climatic changes promoted by anthropogenic activities may have increased the frequency of diseases produced by them.
The diagnosis of these diseases must be based on gross, microscopic, and ultrastructural lesions, coupled with detection of the agent by immunohistochemical-, molecular-, and/or culture-based methods. |
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Palabras claves : |
CHLORELLISIS; GOATS; PROTOTHECOSIS; SHEEP. |
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Asunto categoría : |
L73 Enfermedades de los animales |
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Marc : |
LEADER 01660naa a2200229 a 4500
001 1061694
005 2021-02-26
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1177/1040638720978781$2DOI
100 1 $aRIET-CORREA, F.
245 $aProtothecosis and chlorellosis in sheep and goats$ba review$h[electronic resource]
260 $c2020
300 $a5 p.
500 $aArticle history: First Published December 15, 2020.
520 $aAbstract. Protothecosis and chlorellosis are sporadic algal diseases that can affect small ruminants. In goats, protothecosis is primarily associated with lesions in the nose and should be included in the differential diagnosis of causes of rhinitis. In sheep, chlorellosis causes typical green granulomatous lesions in various organs. Outbreaks of chlorellosis have been reported in sheep consuming stagnant water, grass from sewage-contaminated areas, and pastures watered by irrigation canals or by effluents from poultry-processing plants. Prototheca and Chlorella are widespread in the environment, and environmental and climatic changes promoted by anthropogenic activities may have increased the frequency of diseases produced by them. The diagnosis of these diseases must be based on gross, microscopic, and ultrastructural lesions, coupled with detection of the agent by immunohistochemical-, molecular-, and/or culture-based methods.
653 $aCHLORELLISIS
653 $aGOATS
653 $aPROTOTHECOSIS
653 $aSHEEP
700 1 $aSILVA DO CARMO, P. M.
700 1 $aUZAL, F. A.
773 $tJournal of Veterinary Diagnostic Investigation, 2020, 5 p. DOI: https://doi.org/10.1177/1040638720978781
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