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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Tacuarembó. |
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Fecha : |
05/02/2020 |
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Actualizado : |
11/05/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COZZOLINO, D.; MONTOSSI, F.; SAN JULIÁN, R. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Animal Nutrition and NIRS Laboratory, United States; FABIO MARCELO MONTOSSI PORCHILE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROBERTO SAN JULIAN SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
The use of visible (VIS) and near infrared (NIR) reflectance spectroscopy to predict fibre diameter in both clean and greasy wool samples. |
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Fecha de publicación : |
2005 |
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Fuente / Imprenta : |
Animal Science, June 2005, Volume 80, Issue 3, Pages 333-337. |
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ISSN : |
1357-7298 |
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DOI : |
10.1079/ASC41760333 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 23 September 2004 / Accepted 16 December 2004.
Funding information: The authors acknowledge the technical assistance of the Central Lanera Uruguaya (CLU) for the analysis of the wool samples. The participation and collaboration of farmers involved in the Merino Fino Project is also acknowledged. The work was supported by INIA ? Uruguay (Instituto Nacional de Investigación Agropecuaria), SUL (Secretariado Uruguayo de la Lana) and the Sociedad de Criadores de Merino fino del Uruguay (SCMFU). Suggestions and comments by editorial reviewers are gratefully acknowledged. |
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Contenido : |
ABSTRACT.
Visible (VIS) and near infrared (NIR) reflectance spectroscopy combined with multivariate data analysis were explored to predict fibre diameter in both clean and greasy Merino wool samples. Fifty clean and 400 greasy wool samples were analysed. Samples were scanned in a large cuvette using a NIRSystems 6500 monochromator instrument by reflectance in the VIS and NIR regions (400 to 2500 nm). Partial least square (PLS) regression was used to develop a number of calibration models between the spectral and reference data. Different mathematical treatments were used during model development. Cross validation was used to assess the performance and avoid overfitting of the models. The NIR calibration models gave a coefficient of determination in calibration (R 2) > 0.90 for clean wool samples and a R2 < 0.50 for greasy wool samples. The values for the residual predictive value, RPD (ratio of standard deviation (s. d.) to the root mean square of the standard error of cross validation (RMSECV)) were 3 for clean and 0.6 for greasy wool samples, respectively. The results indicated that fibre diameter in greasy wool samples was poorly predicted with NIR, while clean wool showed good relationships. More research is required to improve the calibration on greasy wool samples if the technology is to be used for rapid analysis to assist in the selection of animals in breeding programmes. © 2005 British Society of Animal Science. |
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Palabras claves : |
Fibres; Spectroscopy; Wool. |
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Thesagro : |
LANA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02729naa a2200229 a 4500
001 1060768
005 2020-05-11
008 2005 bl uuuu u00u1 u #d
022 $a1357-7298
024 7 $a10.1079/ASC41760333$2DOI
100 1 $aCOZZOLINO, D.
245 $aThe use of visible (VIS) and near infrared (NIR) reflectance spectroscopy to predict fibre diameter in both clean and greasy wool samples.$h[electronic resource]
260 $c2005
500 $aArticle history: Received 23 September 2004 / Accepted 16 December 2004. Funding information: The authors acknowledge the technical assistance of the Central Lanera Uruguaya (CLU) for the analysis of the wool samples. The participation and collaboration of farmers involved in the Merino Fino Project is also acknowledged. The work was supported by INIA ? Uruguay (Instituto Nacional de Investigación Agropecuaria), SUL (Secretariado Uruguayo de la Lana) and the Sociedad de Criadores de Merino fino del Uruguay (SCMFU). Suggestions and comments by editorial reviewers are gratefully acknowledged.
520 $aABSTRACT. Visible (VIS) and near infrared (NIR) reflectance spectroscopy combined with multivariate data analysis were explored to predict fibre diameter in both clean and greasy Merino wool samples. Fifty clean and 400 greasy wool samples were analysed. Samples were scanned in a large cuvette using a NIRSystems 6500 monochromator instrument by reflectance in the VIS and NIR regions (400 to 2500 nm). Partial least square (PLS) regression was used to develop a number of calibration models between the spectral and reference data. Different mathematical treatments were used during model development. Cross validation was used to assess the performance and avoid overfitting of the models. The NIR calibration models gave a coefficient of determination in calibration (R 2) > 0.90 for clean wool samples and a R2 < 0.50 for greasy wool samples. The values for the residual predictive value, RPD (ratio of standard deviation (s. d.) to the root mean square of the standard error of cross validation (RMSECV)) were 3 for clean and 0.6 for greasy wool samples, respectively. The results indicated that fibre diameter in greasy wool samples was poorly predicted with NIR, while clean wool showed good relationships. More research is required to improve the calibration on greasy wool samples if the technology is to be used for rapid analysis to assist in the selection of animals in breeding programmes. © 2005 British Society of Animal Science.
650 $aLANA
653 $aFibres
653 $aSpectroscopy
653 $aWool
700 1 $aMONTOSSI, F.
700 1 $aSAN JULIÁN, R.
773 $tAnimal Science, June 2005, Volume 80, Issue 3, Pages 333-337.
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