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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. |
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Fecha : |
29/09/2014 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
VICENTE, E.; VARELA, P.; DE SALDAMANDO, L.; ARES, G. |
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Afiliación : |
CARLOS ESTEBAN VICENTE CASTRO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PABLO NICOLAS VARELA PESSOLANO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Evaluation of the sensory characteristics of strawberry cultivars throughout the harvest season using projective mapping. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Journal of the Science of Food and Agriculture, 2014, v.94, no.3, p.591-599. |
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ISSN : |
0022-5142 |
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DOI : |
10.1002/jsfa.6307 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 17 May 2013 / Revised: 20 June 2013 / Accepted article published: 18 July 2013 /Published online in: 9 August 2013. |
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Contenido : |
ABSTRACT.
Strawberry breeding programs should be able to rely on valid and simple methodologies for evaluating sensory quality of new cultivars. In this context, the aim of the present work was to evaluate the applicability of a simple sensory methodology, named projective mapping, to evaluate the sensory characteristics of strawberry cultivars and advanced selections throughout the harvest season. Three strawberry cultivars and two advanced selections were evaluated by an untrained assessor panel using projective mapping in three different moments of the harvest season: June (early season), August (mid-season) and September (peak harvest). Instrumental measurements were also performed. RESULTS: Projective mapping enabled the identification of the main sensory characteristics of the strawberry cultivars and advanced selections, as well as the similarities and differences among them. Sensory characteristics of the five evaluated strawberry cultivars and advanced selections largely varied throughout the harvest season. Simple instrumental measurements were not able to predict the sensory characteristics of the strawberry cultivars, suggesting the importance of sensory methodologies for the evaluation of new cultivars in breeding programs. CONCLUSIONS: Projective mapping consisted of a quick alternative for the evaluation of new cultivars relative to standard commercial cultivars. Its main advantage is that a large number of cultivars can be screened with minimal investment of time and resources.
© 2013 Society of Chemical Industry. MenosABSTRACT.
Strawberry breeding programs should be able to rely on valid and simple methodologies for evaluating sensory quality of new cultivars. In this context, the aim of the present work was to evaluate the applicability of a simple sensory methodology, named projective mapping, to evaluate the sensory characteristics of strawberry cultivars and advanced selections throughout the harvest season. Three strawberry cultivars and two advanced selections were evaluated by an untrained assessor panel using projective mapping in three different moments of the harvest season: June (early season), August (mid-season) and September (peak harvest). Instrumental measurements were also performed. RESULTS: Projective mapping enabled the identification of the main sensory characteristics of the strawberry cultivars and advanced selections, as well as the similarities and differences among them. Sensory characteristics of the five evaluated strawberry cultivars and advanced selections largely varied throughout the harvest season. Simple instrumental measurements were not able to predict the sensory characteristics of the strawberry cultivars, suggesting the importance of sensory methodologies for the evaluation of new cultivars in breeding programs. CONCLUSIONS: Projective mapping consisted of a quick alternative for the evaluation of new cultivars relative to standard commercial cultivars. Its main advantage is that a large number of cultivars can be screened with minimal investment of... Presentar Todo |
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Thesagro : |
FRAGARIA X ANANASSA DUCH; FRUTILLA; MEJORAMIENTO GENÉTICO DE FRUTILLA. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02428naa a2200229 a 4500
001 1050708
005 2019-10-15
008 2014 bl uuuu u00u1 u #d
022 $a0022-5142
024 7 $a10.1002/jsfa.6307$2DOI
100 1 $aVICENTE, E.
245 $aEvaluation of the sensory characteristics of strawberry cultivars throughout the harvest season using projective mapping.$h[electronic resource]
260 $c2014
500 $aArticle history: Received: 17 May 2013 / Revised: 20 June 2013 / Accepted article published: 18 July 2013 /Published online in: 9 August 2013.
520 $aABSTRACT. Strawberry breeding programs should be able to rely on valid and simple methodologies for evaluating sensory quality of new cultivars. In this context, the aim of the present work was to evaluate the applicability of a simple sensory methodology, named projective mapping, to evaluate the sensory characteristics of strawberry cultivars and advanced selections throughout the harvest season. Three strawberry cultivars and two advanced selections were evaluated by an untrained assessor panel using projective mapping in three different moments of the harvest season: June (early season), August (mid-season) and September (peak harvest). Instrumental measurements were also performed. RESULTS: Projective mapping enabled the identification of the main sensory characteristics of the strawberry cultivars and advanced selections, as well as the similarities and differences among them. Sensory characteristics of the five evaluated strawberry cultivars and advanced selections largely varied throughout the harvest season. Simple instrumental measurements were not able to predict the sensory characteristics of the strawberry cultivars, suggesting the importance of sensory methodologies for the evaluation of new cultivars in breeding programs. CONCLUSIONS: Projective mapping consisted of a quick alternative for the evaluation of new cultivars relative to standard commercial cultivars. Its main advantage is that a large number of cultivars can be screened with minimal investment of time and resources. © 2013 Society of Chemical Industry.
650 $aFRAGARIA X ANANASSA DUCH
650 $aFRUTILLA
650 $aMEJORAMIENTO GENÉTICO DE FRUTILLA
700 1 $aVARELA, P.
700 1 $aDE SALDAMANDO, L.
700 1 $aARES, G.
773 $tJournal of the Science of Food and Agriculture, 2014$gv.94, no.3, p.591-599.
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INIA Las Brujas (LB) |
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| 1. |  | BASSU, S.; BRISSON, N.; DURAND, J.L.; BOOTE, K.; LIZASO, J.; JONES, J.W.; ROSENZWEIG, C.; RUANE, A.C.; ADAM, M.; BARON, C.; BASSO, B.; BIERNATH, C.; BOOGAARD, H.; CONIJN, S.; CORBEELS, M.L; DERYNG, D.; SANTIS, G. DE; GAYLER, S.; GRASSINI, P.; HATFIELD, J.; HOEK, S.; IZAURRALDE, C.; JONGSCHAAP, R.; KEMANIAN, A.R.; KERSEBAUM, C.KIM, S-H.; KUMAR, N.; MAKOWSKI, D.; MÜLLER, C.; NENDEL, C.; PRIESACK, E.; PRAVIA, V.; SAU, F.; SHCHERBAK, I.; TAO, F.; TEXEIRA, E.; TIMLIN, D.; WAHA, K. How do various maize crop models vary in their responses to climate change factors? Global Change Biology, 2014, v.20(7), p. 2301-2320. Article history: Received 7 June 2013 and accepted 2 December 2013, published 2014.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 1 |
| Biblioteca(s): INIA Treinta y Tres. |
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| 2. | | MARCAIDA, M.; ASSENG, S.; EWERT, F.; BASSU, S.; DURAND, J.L.; LI, T.; MARTRE, P.; ADAM, M.; AGGARWAL, P.K.; ANGULO, C.; BARON, C.; BASSO, B.; BERTUZZI, P.; BIERNATH, C.; BOOGAARD, H.; BOOTE, K.J.; BOUMAN, B.; BREGAGLIO, S.; BRISSON, N.; BUIS, S.; CAMMARANO, D.; CHALLINOR, A.J.; CONFALONIERI, R.; CONIJN, J.G.; CORBEELS, M.; DERYNG, D.; DE SANCTIS, G.; DOLTRA, J.; FUMOTO, T.; GAYDON, D.; GAYLER, S.; GOLDBERG, R.; GRANT, R.F.; GRASSINI, P.; HATFIELD, J.L.; HASEGAWA, T.; HENG, L.; HOEK, S.; HOOKER, J.; HUNT, L.A.; INGWERSEN, J.; IZAURRALDE, R.C.; JONGSCHAAP, R.E.E.; JONES, J.W.; KEMANIAN, R.A.; KERSEBAUM, K.C.; KIM, S.-H.; LIZASO, J.; MÜLLER, C.; NAKAGAWA, H.; NARESH KUMAR, S.; NENDEL, C.; O'LEARY, G.J.; OLESEN, J.E.; ORIOL, P.; OSBORNE, T.M.; PALOSUO, T.; PRAVIA, V.; PRIESACK, E.; RIPOCHE, D.; ROSENZWEIG, C.; RUANE, A.C.; RUGET, F.; SAU, F.; SEMENOV, M.A.; SHCHERBAK, I.; SINGH, B.; SINGH, U.; SOO, H.K.; STEDUTO, P.; STÖCKLE, C.; STRATONOVITCH, P.; STRECK, T.; SUPIT, I.; TANG, L.; TAO, F.; TEIXEIRA, E.I.; THORBURN, P.; TIMLIN, D.; TRAVASSO, M.; RÖTTER, R.P.; WAHA, K.; WALLACH, D.; WHITE, J.W.; WILKENS, P.; WILLIAMS, J.R.; WOLF, J.; YIN, X.; YOSHIDA, H.; ZHANG, Z.; ZHU, Y. A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. Agricultural and Forest Meteorology, 2015, v.214-215, p. 483-493. Article history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas; INIA Treinta y Tres. |
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