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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
02/10/2023 |
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Actualizado : |
02/10/2023 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
ROEL, A.; MACEDO, I.; CASTILLO, J.; MARTÍNEZ, S.; CARRASCO-LETELIER, L.; AYALA, W.; TERRA, J.A.; FERNÁNDEZ, A.; FERRANDO, L.; IRISARRI, P.; PÉREZ-PARADA, A.; CANTOU, G. |
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Afiliación : |
ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMILSE JESUS CASTILLO VELAZQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SEBASTIÁN MARTÍNEZ KOPP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA FERNÁNDEZ, Facultad de Química - Udelar; LUCÍA FERRANDO, Facultad de Química - Udelar; PILAR IRISARRI, Facultad de Agronomía - Udelar; ANDRÉS PÉREZ-PARADA, CURE - Udelar; MARIA GUILLERMINA CANTOU MAYOL, CURE - Udelar. |
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Título : |
Sostenibilidad ambiental de los sistemas de producción arroceros. |
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Complemento del título : |
Arroz-Ganadería. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Revista INIA Uruguay, Setiembre 2023, no.74 p.48-52. |
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Serie : |
(Revista INIA; 74). |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
El artículo sintetiza los principales mensajes vertidos por investigadores de diversas instituciones en una jornada de divulgación de resultados de varios proyectos de investigación interinstitucionales sobre la sostenibilidad de los sistemas de producción de arroz en Uruguay. --------------- Información generada en el marco de los Proyectos ANII-Innovagro: FSA_PP_2018_1_148336: Evaluación de la sostenibilidad ambiental de sistemas de producción arroceros de intensidad variable. / FSA_PI_2018_1_148442: Eficiencia del uso del agua y nutrientes en rotaciones arroceras bajo irrigación. / FSA_PI_2018_1_148579: Ciclo del C y emisiones GEI en sistemas de producción de arroz. / FSA_PI_2018_1_148630: Evaluación del impacto ecotoxicológico de los fitosanitarios utilizados en rotaciones arroceras contrastantes. Proyecto INIA: AZ_44: Salud de suelos en rotaciones arroceras. |
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Palabras claves : |
PRODUCCIÓN DE ARROZ; SISTEMA ARROZ-GANADERÍA - INIA; SISTEMAS ARROZ-GANADERÍA. |
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Thesagro : |
ARROZ. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17375/1/Revista-INIA-74-set-2023-12.pdf
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Marc : |
LEADER 01786naa a2200325 a 4500
001 1064329
005 2023-10-02
008 2023 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aROEL, A.
245 $aSostenibilidad ambiental de los sistemas de producción arroceros.$h[electronic resource]
260 $c2023
490 $a(Revista INIA; 74).
520 $aEl artículo sintetiza los principales mensajes vertidos por investigadores de diversas instituciones en una jornada de divulgación de resultados de varios proyectos de investigación interinstitucionales sobre la sostenibilidad de los sistemas de producción de arroz en Uruguay. --------------- Información generada en el marco de los Proyectos ANII-Innovagro: FSA_PP_2018_1_148336: Evaluación de la sostenibilidad ambiental de sistemas de producción arroceros de intensidad variable. / FSA_PI_2018_1_148442: Eficiencia del uso del agua y nutrientes en rotaciones arroceras bajo irrigación. / FSA_PI_2018_1_148579: Ciclo del C y emisiones GEI en sistemas de producción de arroz. / FSA_PI_2018_1_148630: Evaluación del impacto ecotoxicológico de los fitosanitarios utilizados en rotaciones arroceras contrastantes. Proyecto INIA: AZ_44: Salud de suelos en rotaciones arroceras.
650 $aARROZ
653 $aPRODUCCIÓN DE ARROZ
653 $aSISTEMA ARROZ-GANADERÍA - INIA
653 $aSISTEMAS ARROZ-GANADERÍA
700 1 $aMACEDO, I.
700 1 $aCASTILLO, J.
700 1 $aMARTÍNEZ, S.
700 1 $aCARRASCO-LETELIER, L.
700 1 $aAYALA, W.
700 1 $aTERRA, J.A.
700 1 $aFERNÁNDEZ, A.
700 1 $aFERRANDO, L.
700 1 $aIRISARRI, P.
700 1 $aPÉREZ-PARADA, A.
700 1 $aCANTOU, G.
773 $tRevista INIA Uruguay, Setiembre 2023, no.74 p.48-52.
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Tacuarembó. Por información adicional contacte bibliotb@tb.inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
22/10/2014 |
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Actualizado : |
04/05/2020 |
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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 : |
VOTE, D.J.; BOWLING, M.B.; CUNHA, B.C.N.; BELK, K.E.; TATUM, J.D.; MONTOSSI, F.; SMITH, G.C. |
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Afiliación : |
D.J. VOTE, Cargill Meat Solutions, United States; M.B. BOWLING, Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, United States; B.C.N. CUNHA, Minerva Ltd., Sao Paulo, Brazil; K.E. BELK, Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, United States; J.D. TATUM, Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, United States; FABIO MARCELO MONTOSSI PORCHILE, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; G.C. SMITH, Center for Meat Safety and Quality, Department of Animal Sciences, Colorado State University, United States. |
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Título : |
Video image analysis as a potential grading system for Uruguayan beef carcasses. |
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Fecha de publicación : |
2009 |
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Fuente / Imprenta : |
Journal of Animal Science, Volume 87, Issue 7, July 2009, Pages 2376-2390.DOI: https://doi.org/10.2527/jas.2009-1791 |
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DOI : |
10.2527/jas.2009-1791 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received January 12, 2009; Accepted March 26, 2009. Corresponding author: keith.belk@colostate.edu |
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Contenido : |
Abstract: A study was conducted in 2 phases to evaluate the effectiveness of 1) the VIAscan Beef Carcass System (BCSys; hot carcass system) and the CVS BeefCam (chilled carcass system), used independently or in combination, to predict Uruguayan beef carcass fabrication yields; and 2) the CVS BeefCam to segregate Uruguayan beef carcasses into groups that differ in the Warner-Bratzler shear force (WBSF) values of their LM steaks. The results from the meat yield phase of the present study indicated that the prediction of saleable meat yield percentages from Uruguayan beef carcasses by use of the BCSys or CVS BeefCam is similar to, or slightly better than, the use of USDA yield grade calculated to the nearest 0.1 and was much more effective than prediction based on Uruguay National Institute of Meat (INAC) grades. A further improvement in fabrication yield prediction could be obtained by use of a dual-component video image analysis (VIA) system. Whichever method of VIA prediction of fabrication yield is used, a single predicted value of fabrication yield for every carcass removes an impediment to the implementation of a value-based pricing system. Additionally, a VIA method of predicting carcass yield has the advantage over the current INAC classification system in that estimates would be produced by an instrument rather than by packing plant personnel, which would appeal to cattle producers. Results from the tenderness phase of the study indicated that the CVS BeefCam output variable for marbling was not (P > 0.05) able to segregate steer and heifer carcasses into groups that differed in WBSF values. In addition, the results of segregating steer and heifer carcasses according to muscle color output variables indicate that muscle maturity and skeletal maturity were useful for segregating carcasses according to differences in WBSF values of their steaks (P > 0.05). Use of VIA to predict beef carcass fabrication yields could improve accuracy and reduce subjectivity in comparison with use of current INAC grades. Use of VIA to sort carcasses according to muscle color would allow for the marketing of more consistent beef products with respect to tenderness. This would help facilitate the initiation of a value-based marketing system for the Uruguayan beef industry. MenosAbstract: A study was conducted in 2 phases to evaluate the effectiveness of 1) the VIAscan Beef Carcass System (BCSys; hot carcass system) and the CVS BeefCam (chilled carcass system), used independently or in combination, to predict Uruguayan beef carcass fabrication yields; and 2) the CVS BeefCam to segregate Uruguayan beef carcasses into groups that differ in the Warner-Bratzler shear force (WBSF) values of their LM steaks. The results from the meat yield phase of the present study indicated that the prediction of saleable meat yield percentages from Uruguayan beef carcasses by use of the BCSys or CVS BeefCam is similar to, or slightly better than, the use of USDA yield grade calculated to the nearest 0.1 and was much more effective than prediction based on Uruguay National Institute of Meat (INAC) grades. A further improvement in fabrication yield prediction could be obtained by use of a dual-component video image analysis (VIA) system. Whichever method of VIA prediction of fabrication yield is used, a single predicted value of fabrication yield for every carcass removes an impediment to the implementation of a value-based pricing system. Additionally, a VIA method of predicting carcass yield has the advantage over the current INAC classification system in that estimates would be produced by an instrument rather than by packing plant personnel, which would appeal to cattle producers. Results from the tenderness phase of the study indicated that the CVS BeefCam output va... Presentar Todo |
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Palabras claves : |
INSTRUMENT GRADING; URUGUAYAN BEEF; VIDEO IMAGE ANALYSIS. |
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Thesagro : |
CARNE; URUGUAY. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03208naa a2200277 a 4500
001 1051246
005 2020-05-04
008 2009 bl uuuu u00u1 u #d
024 7 $a10.2527/jas.2009-1791$2DOI
100 1 $aVOTE, D.J.
245 $aVideo image analysis as a potential grading system for Uruguayan beef carcasses.
260 $c2009
500 $aArticle history: Received January 12, 2009; Accepted March 26, 2009. Corresponding author: keith.belk@colostate.edu
520 $aAbstract: A study was conducted in 2 phases to evaluate the effectiveness of 1) the VIAscan Beef Carcass System (BCSys; hot carcass system) and the CVS BeefCam (chilled carcass system), used independently or in combination, to predict Uruguayan beef carcass fabrication yields; and 2) the CVS BeefCam to segregate Uruguayan beef carcasses into groups that differ in the Warner-Bratzler shear force (WBSF) values of their LM steaks. The results from the meat yield phase of the present study indicated that the prediction of saleable meat yield percentages from Uruguayan beef carcasses by use of the BCSys or CVS BeefCam is similar to, or slightly better than, the use of USDA yield grade calculated to the nearest 0.1 and was much more effective than prediction based on Uruguay National Institute of Meat (INAC) grades. A further improvement in fabrication yield prediction could be obtained by use of a dual-component video image analysis (VIA) system. Whichever method of VIA prediction of fabrication yield is used, a single predicted value of fabrication yield for every carcass removes an impediment to the implementation of a value-based pricing system. Additionally, a VIA method of predicting carcass yield has the advantage over the current INAC classification system in that estimates would be produced by an instrument rather than by packing plant personnel, which would appeal to cattle producers. Results from the tenderness phase of the study indicated that the CVS BeefCam output variable for marbling was not (P > 0.05) able to segregate steer and heifer carcasses into groups that differed in WBSF values. In addition, the results of segregating steer and heifer carcasses according to muscle color output variables indicate that muscle maturity and skeletal maturity were useful for segregating carcasses according to differences in WBSF values of their steaks (P > 0.05). Use of VIA to predict beef carcass fabrication yields could improve accuracy and reduce subjectivity in comparison with use of current INAC grades. Use of VIA to sort carcasses according to muscle color would allow for the marketing of more consistent beef products with respect to tenderness. This would help facilitate the initiation of a value-based marketing system for the Uruguayan beef industry.
650 $aCARNE
650 $aURUGUAY
653 $aINSTRUMENT GRADING
653 $aURUGUAYAN BEEF
653 $aVIDEO IMAGE ANALYSIS
700 1 $aBOWLING, M.B.
700 1 $aCUNHA, B.C.N.
700 1 $aBELK, K.E.
700 1 $aTATUM, J.D.
700 1 $aMONTOSSI, F.
700 1 $aSMITH, G.C.
773 $tJournal of Animal Science, Volume 87, Issue 7, July 2009, Pages 2376-2390.DOI: https://doi.org/10.2527/jas.2009-1791
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