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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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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
09/04/2021 |
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Actualizado : |
24/02/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
LADO, J.; VICENTE, E.; MOLTINI, A.; ALCAIRE, F.; ARES, G. |
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Afiliación : |
JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANA INÉS MOLTINI PALADINO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FLORENCIA ALCAIRE, Sensometrics & Consumer Science, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República. Pando, Canelones, Uruguay; GASTÓN ARES, Sensometrics & Consumer Science, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República. Pando, Canelones, Uruguay. |
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Título : |
Integrating consumer perception in the selection of purple-skin sweet potato cultivars. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of the Science of Food and Agriculture, 2020. [Early view]. Doi: https://doi.org/10.1002/jsfa.10991 |
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ISSN : |
0022-5142 |
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DOI : |
10.1002/jsfa.10991 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 August 2020; Revised 26 October 2020; Accepted article published 4 December 2020. |
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Contenido : |
ABSTRACT.
BACKGROUND: Sweet-potato breeding programs need to integrate sensory characterization and hedonic perception to provide global markets with widely accepted products. The present work aimed to characterize a series of purple-skin sweet potatoes differing in flesh coloration (from pale yellow to slight orange) from a sensory and physicochemical perspective. Uruguayan consumers' perceptions of the genotypes were also explored. Special focus was placed on the influence of flesh color on consumers' expectations and hedonic perception of purple-skin sweet potatoes. RESULTS: Sensory characterization based on projective mapping showed that the evaluated genotypes largely differed in their sensory characteristics in terms of flavor, texture, and color. Soluble solids and the concentration of individual sugars were not good predictors of sensory quality. In the appearance evaluation, consumers associated orange flesh with positive expected sensory characteristics and stronger liking. Flavor (sweetness and typical flavor) and texture (creaminess) were identified as key characteristics influencing consumers' liking and description of sweet-potato samples. Among purple-skin ('criollo or boniato' type)' genotypes, INIA Cambará was identified as the closest to the ideal sweet potato and was described with the terms sweet, tasty, creamy, and characteristic flavor. CONCLUSION: Flesh color was identified as a key driver of consumers' sensory and hedonic expectations. Results showed that Uruguayan consumers positively value traditional purple-skin sweet potatoes with orange flesh, as it drives positive sensory expectations. However, after tasting, flesh color does not seem to have a relevant influence on consumer liking. © 2020 Society of Chemical Industry MenosABSTRACT.
BACKGROUND: Sweet-potato breeding programs need to integrate sensory characterization and hedonic perception to provide global markets with widely accepted products. The present work aimed to characterize a series of purple-skin sweet potatoes differing in flesh coloration (from pale yellow to slight orange) from a sensory and physicochemical perspective. Uruguayan consumers' perceptions of the genotypes were also explored. Special focus was placed on the influence of flesh color on consumers' expectations and hedonic perception of purple-skin sweet potatoes. RESULTS: Sensory characterization based on projective mapping showed that the evaluated genotypes largely differed in their sensory characteristics in terms of flavor, texture, and color. Soluble solids and the concentration of individual sugars were not good predictors of sensory quality. In the appearance evaluation, consumers associated orange flesh with positive expected sensory characteristics and stronger liking. Flavor (sweetness and typical flavor) and texture (creaminess) were identified as key characteristics influencing consumers' liking and description of sweet-potato samples. Among purple-skin ('criollo or boniato' type)' genotypes, INIA Cambará was identified as the closest to the ideal sweet potato and was described with the terms sweet, tasty, creamy, and characteristic flavor. CONCLUSION: Flesh color was identified as a key driver of consumers' sensory and hedonic expectations. Results showed ... Presentar Todo |
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Palabras claves : |
Breeding; PLATAFORMA AGROALIMENTOS; Projective mapping; Sensory analysis; Sweet potato. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02679naa a2200265 a 4500
001 1061971
005 2022-02-24
008 2020 bl uuuu u00u1 u #d
022 $a0022-5142
024 7 $a10.1002/jsfa.10991$2DOI
100 1 $aLADO, J.
245 $aIntegrating consumer perception in the selection of purple-skin sweet potato cultivars.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 4 August 2020; Revised 26 October 2020; Accepted article published 4 December 2020.
520 $aABSTRACT. BACKGROUND: Sweet-potato breeding programs need to integrate sensory characterization and hedonic perception to provide global markets with widely accepted products. The present work aimed to characterize a series of purple-skin sweet potatoes differing in flesh coloration (from pale yellow to slight orange) from a sensory and physicochemical perspective. Uruguayan consumers' perceptions of the genotypes were also explored. Special focus was placed on the influence of flesh color on consumers' expectations and hedonic perception of purple-skin sweet potatoes. RESULTS: Sensory characterization based on projective mapping showed that the evaluated genotypes largely differed in their sensory characteristics in terms of flavor, texture, and color. Soluble solids and the concentration of individual sugars were not good predictors of sensory quality. In the appearance evaluation, consumers associated orange flesh with positive expected sensory characteristics and stronger liking. Flavor (sweetness and typical flavor) and texture (creaminess) were identified as key characteristics influencing consumers' liking and description of sweet-potato samples. Among purple-skin ('criollo or boniato' type)' genotypes, INIA Cambará was identified as the closest to the ideal sweet potato and was described with the terms sweet, tasty, creamy, and characteristic flavor. CONCLUSION: Flesh color was identified as a key driver of consumers' sensory and hedonic expectations. Results showed that Uruguayan consumers positively value traditional purple-skin sweet potatoes with orange flesh, as it drives positive sensory expectations. However, after tasting, flesh color does not seem to have a relevant influence on consumer liking. © 2020 Society of Chemical Industry
653 $aBreeding
653 $aPLATAFORMA AGROALIMENTOS
653 $aProjective mapping
653 $aSensory analysis
653 $aSweet potato
700 1 $aVICENTE, E.
700 1 $aMOLTINI, A.
700 1 $aALCAIRE, F.
700 1 $aARES, G.
773 $tJournal of the Science of Food and Agriculture, 2020. [Early view]. Doi: https://doi.org/10.1002/jsfa.10991
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
02/02/2024 |
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Actualizado : |
02/02/2024 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
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Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe agroclimático 2024- Situación a Enero. |
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Fecha de publicación : |
2024 |
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Fuente / Imprenta : |
Montevideo (UY): INIA, 2024. |
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Páginas : |
6 p. |
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Serie : |
(Informe Agroclimático; Año 19, No.01) |
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Idioma : |
Español |
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Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
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Contenido : |
CONTENIDO. -- Síntesis de la situación sgroclimática de enero-- Perspectivas climáticas trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de vegetación (NDVI) -- Precipitaciones -- Porcentaje de agua disponible (PAD) -- Agua no retenida (ANR) -- Índice de bienestar hídrico (IBH) -- Perspectivas climáticas feb-mar-abr elaboradas por el IRI de la Universidad de Columbia. -- Destacamos para este mes: INIA Termoestrés: Previsión de condiciones ambientales que causan
estrés calórico en bovinos de carne y leche. Link directo http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-ITH-Vacunos/INIA-Termoestres |
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Palabras claves : |
AGTECH; AGUA DISPONIBLE (PAD); AGUA NO RETENIDA (ANR); BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; ÍNDICE DE BIENESTAR HÍDRICO (IBH); ÍNDICE DE VEGETACIÓN (NDVI); INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2024; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PORCENTAJE DE AGUA DISPONIBLE (PAD); PRECIPITACION NACIONAL; PRECIPITACIONES; PREVENCION HELADAS; PRONOSTICO; SENSOR; SISTEMAS DE INFORMACIÓN GEOGRÁFICA (SIG); SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMÁTICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Enero%20de%202024.pdf
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Marc : |
LEADER 03264nam a2200829 a 4500
001 1064448
005 2024-02-02
008 2024 bl uuuu u0uu1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aInforme agroclimático 2024- Situación a Enero.$h[electronic resource]
260 $aMontevideo (UY): INIA$c2024
300 $a6 p.
490 $a(Informe Agroclimático; Año 19, No.01)
500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García.
520 $aCONTENIDO. -- Síntesis de la situación sgroclimática de enero-- Perspectivas climáticas trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de vegetación (NDVI) -- Precipitaciones -- Porcentaje de agua disponible (PAD) -- Agua no retenida (ANR) -- Índice de bienestar hídrico (IBH) -- Perspectivas climáticas feb-mar-abr elaboradas por el IRI de la Universidad de Columbia. -- Destacamos para este mes: INIA Termoestrés: Previsión de condiciones ambientales que causan estrés calórico en bovinos de carne y leche. Link directo http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-ITH-Vacunos/INIA-Termoestres
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMÁTICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
650 $aEVAPOTRANSPIRACION
650 $aHUMEDAD
650 $aHUMEDAD RELATIVA
650 $aLLUVIA
650 $aMETEOROLOGIA
650 $aPERSPECTIVAS
650 $aPLUVIOMETROS
650 $aPRONOSTICO DEL TIEMPO
650 $aSENSORES
650 $aSISTEMAS
650 $aSISTEMAS DE INFORMACION
650 $aSISTEMAS DE INFORMACION GEOGRAFICOS
650 $aTEMPERATURA
653 $aAGTECH
653 $aAGUA DISPONIBLE (PAD)
653 $aAGUA NO RETENIDA (ANR)
653 $aBOLETIN AGROCLIMÁTICO
653 $aCARACTERIZACIÓN AGROCLIMÁTICA
653 $aDIRECCION VIENTO
653 $aESTACIONES AGROMETEOROLOGICAS
653 $aESTACIONES AUTOMATICAS
653 $aESTACIONES INIA
653 $aESTADO DEL TIEMPO
653 $aGRAFICAS AGROCLIMATICAS
653 $aGRAS
653 $aÍNDICE DE BIENESTAR HÍDRICO (IBH)
653 $aÍNDICE DE VEGETACIÓN (NDVI)
653 $aINFORMACION SATELITAL
653 $aINFORME AGROCLIMÁTICO 2024
653 $aINUNDACIONES
653 $aLLUVIAS DIARIAS
653 $aMAXIMA
653 $aMEDIA
653 $aMINIMA
653 $aPANEL SOLAR
653 $aPERSPECTIVAS CLIMATICAS
653 $aPLUVIOMETRO
653 $aPORCENTAJE DE AGUA DISPONIBLE (PAD)
653 $aPRECIPITACION NACIONAL
653 $aPRECIPITACIONES
653 $aPREVENCION HELADAS
653 $aPRONOSTICO
653 $aSENSOR
653 $aSISTEMAS DE INFORMACIÓN GEOGRÁFICA (SIG)
653 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aGRAS
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