| |
|
|
| Registros recuperados : 3 | |
| 1. |  | CLARIGET, J.M.; KELLY, A.K.; BANCHERO, G.; KEOGH, K.; KENNY, D.A.; CROSSON, P. Profitability, greenhouse gas emissions and feed-food competition of strategies to exploit compensatory growth in Uruguayan weanling-to-beef systems. Livestock Science, October 2024, Volume 288, 105553. https://doi.org/10.1016/j.livsci.2024.105553 -- OPEN ACCESS. Article history: Received 12 June 2024, Revised 22 July 2024, Accepted 15 August 2024, Available online 21 August 2024, Version of Record 29 August 2024. -- Clariget, J.M.; Instituto Nacional de Investigación Agropecuaria, Ruta 50, km 11,...| Biblioteca(s): INIA Las Brujas. |
|    |
| 2. | | CLARIGET, J.M.; BANCHERO, G.; CIGANDA, V.; SANTANDER, D.; KEOGH, K.; SMITH, P. E.; KELLY, A. K.; KENNY, D. A. Methane emissions and rumen microbiome response during compensatory growth on either a forage or grain-based finishing diet in beef cattle. Issue Section: Environmental Animal Science Translational Animal Science, 2024, Volume 8, txae143, https://doi.org/10.1093/tas/txae143 -- [In Press]. -- OPEN ACCESS. Article history: Received 06 June 2024, Accepted 26 September 2024, Published 27 September 2024, Corrected and typeset 23 October 2024. -- Correspondence: Clariget, J.M.; Instituto Nacional de Investigación Agropecuaria, Colonia, Uruguay;...| Biblioteca(s): INIA Las Brujas. |
|  |
| 3. | | CLARIGET, J.M.; BANCHERO, G.; SARAVIA, A.; LUZARDO, S.; DE SOUZA, G.; KENNY, D.A.; KEOGH, K.; KELLY, A.K. Optimising compensatory growth in pastoral beef production systems: insights into feed efficiency, body composition, carcass characteristics and meat quality attributes. Animal, February 2025, Volume 19, Issue 2, 101408. https://doi.org/10.1016/j.animal.2024.101408 -- OPEN ACCESS. Article history: Received 4 September 2024, Revised 11 December 2024, Accepted 13 December 2024, Available online 19 December 2024, Version of Record 16 January 2025. -- Document type: Gold Open Access. -- Corresponding author: Clariget,...| Biblioteca(s): INIA Las Brujas. |
| |
| Registros recuperados : 3 | |
|
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
21/02/2014 |
|
Actualizado : |
24/01/2019 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
B - 1 |
|
Autor : |
COZZOLINO, D.; CORBELLA, E. |
|
Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDUARDO DANIEL CORBELLA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
|
Título : |
Determination of honey quality components by near infrared reflectance spectroscopy. |
|
Fecha de publicación : |
2003 |
|
Fuente / Imprenta : |
Journal of Apicultural Research, 2003, volume 42, Issue 1-2, Pages 16-20. |
|
DOI : |
10.1080/00218839.2003.11101081 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 19 Aug 2002 // Accepted 10 Dec 2002 // Published online: 24 Mar 2015. |
|
Contenido : |
ABSTRACT.
Near infrared reflectance spectroscopy (NIRS) was used to assess the chemical composition of fresh honey samples. Samples (n = 110) from different locations across Uruguay were scanned in transreflectance (0.2 mm path?length) in a NIRS 6500 monochromator in both the visible and near infrared region (400?2500 nm). Prediction equations were developed using modified partial least squares and cross validation was applied to avoid overfitting. Calibrations for water content (g kg−1), pH, electrical conductivity (mS/cm), colour (mm Pfund) and hydroxymethylfurfural (mg kg−1) yielded a coefficient of determination in calibration (R2CAL) and standard error in cross validation of 0.96 (SECV: 31); 0.88 (SECV: 0.21); 0.94 (SECV: 0.07); 0.98 (SECV: 4.7) and 0.67 (SECV: 3.9), respectively. It is concluded that NIRS is a useful method to evaluate chemical composition on fresh honey samples.
© 2003 International Bee Research Association. |
|
Palabras claves : |
COLOUR; ELECTRICAL CONDUCTIVITY; HMF; HONEY; NEAR INFRARED REFLECTANCE; PH; WATER CONTENT. |
|
Thesagro : |
APICULTURA; MIEL. |
|
Asunto categoría : |
-- |
|
Marc : |
LEADER 01800naa a2200265 a 4500
001 1002979
005 2019-01-24
008 2003 bl uuuu u00u1 u #d
024 7 $a10.1080/00218839.2003.11101081$2DOI
100 1 $aCOZZOLINO, D.
245 $aDetermination of honey quality components by near infrared reflectance spectroscopy.$h[electronic resource]
260 $c2003
500 $aArticle history: Received 19 Aug 2002 // Accepted 10 Dec 2002 // Published online: 24 Mar 2015.
520 $aABSTRACT. Near infrared reflectance spectroscopy (NIRS) was used to assess the chemical composition of fresh honey samples. Samples (n = 110) from different locations across Uruguay were scanned in transreflectance (0.2 mm path?length) in a NIRS 6500 monochromator in both the visible and near infrared region (400?2500 nm). Prediction equations were developed using modified partial least squares and cross validation was applied to avoid overfitting. Calibrations for water content (g kg−1), pH, electrical conductivity (mS/cm), colour (mm Pfund) and hydroxymethylfurfural (mg kg−1) yielded a coefficient of determination in calibration (R2CAL) and standard error in cross validation of 0.96 (SECV: 31); 0.88 (SECV: 0.21); 0.94 (SECV: 0.07); 0.98 (SECV: 4.7) and 0.67 (SECV: 3.9), respectively. It is concluded that NIRS is a useful method to evaluate chemical composition on fresh honey samples. © 2003 International Bee Research Association.
650 $aAPICULTURA
650 $aMIEL
653 $aCOLOUR
653 $aELECTRICAL CONDUCTIVITY
653 $aHMF
653 $aHONEY
653 $aNEAR INFRARED REFLECTANCE
653 $aPH
653 $aWATER CONTENT
700 1 $aCORBELLA, E.
773 $tJournal of Apicultural Research, 2003, volume 42, Issue 1-2, Pages 16-20.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
