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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
18/05/2023 |
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Actualizado : |
18/05/2023 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
MENONI, M.; CASTRO, A.; GALLINO, J.P.; BONNECARRERE, V.; VIDAL, S. |
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Afiliación : |
MARIANA MENONI, Laboratorio de Biología Molecular Vegetal, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Uruguay; ALEXANDRA CASTRO, Laboratorio de Biología Molecular Vegetal, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Uruguay; JUAN PABLO GALLINO, Laboratorio de Biología Molecular Vegetal, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Uruguay; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SABINA VIDAL, Laboratorio de Biología Molecular Vegetal, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Uruguay. |
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Título : |
Buscando mejorar la calidad nutricional del grano de soja y aumentar su tamaño utilizando CRISPR/Cas9. 344. (resúmen) |
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Complemento del título : |
Conferencia 10. Mesa Edición genómica de los cultivos. Organiza SBBM (Sociedad de Bioquímica & Biología Molecular). |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.55. |
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ISSN : |
1669-5410 |
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Idioma : |
Español |
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Notas : |
Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable". |
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Contenido : |
El objetivo del presente trabajo es mejorar la calidad nutricional del grano de soja, a través de la edición de genes que controlan el tamaño y composición del grano. Este trabajo se centró en generar mutaciones de tipo knockout en genes asociados con el tamaño de la semilla (BS) y con la calidad de proteínas de grano, utilizando el sistema CRISPR-Cas9. |
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Palabras claves : |
ÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA; MEJORAMIENTO GENÉTICO VEGETAL. |
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Thesagro : |
BIOTECNOLOGIA; FITOMEJORAMIENTO; SOJA. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/17142/1/MenoniM..-et.al-p55-3er-Congreso-Nacional-Biociencias-2022.pdf
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Marc : |
LEADER 01386nam a2200241 a 4500
001 1064126
005 2023-05-18
008 2022 bl uuuu u01u1 u #d
022 $a1669-5410
100 1 $aMENONI, M.
245 $aBuscando mejorar la calidad nutricional del grano de soja y aumentar su tamaño utilizando CRISPR/Cas9. 344. (resúmen)$h[electronic resource]
260 $aIn: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.55.$c2022
500 $aResumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".
520 $aEl objetivo del presente trabajo es mejorar la calidad nutricional del grano de soja, a través de la edición de genes que controlan el tamaño y composición del grano. Este trabajo se centró en generar mutaciones de tipo knockout en genes asociados con el tamaño de la semilla (BS) y con la calidad de proteínas de grano, utilizando el sistema CRISPR-Cas9.
650 $aBIOTECNOLOGIA
650 $aFITOMEJORAMIENTO
650 $aSOJA
653 $aÁREA MEJORAMIENTO GENÉTICO Y BIOTECNOLOGÍA VEGETAL - INIA
653 $aMEJORAMIENTO GENÉTICO VEGETAL
700 1 $aCASTRO, A.
700 1 $aGALLINO, J.P.
700 1 $aBONNECARRERE, V.
700 1 $aVIDAL, S.
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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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