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Registros recuperados : 125 | |
106. | | DIAZ, R.; QUINCKE, A.; MORON, A.; SAWCHIK, J.; IBÁÑEZ , W.; BALZARIN, M. Efecto de la degradación del carbono orgánico del suelo en la productividad potencial de los cultivos. In:Taller Internacional Sociedad Uruguaya Ciencia Suelo-Uruguay ISTRO: Dinámica de las propiedades del suelo bajo diferentes usos y manejos. (2010, Colonia, Uruguay), SUCS, 2010Biblioteca(s): INIA La Estanzuela. |
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108. | | PRAVIA, V.; KEMANIAN, A.; QUINCKE, A.; DIAZ, R.; TERRA, J.A.; SAHA, D. Does soil organic carbon and the fresh carbon input rate affect humification rate? A test in long-term crop pasture systems. (Poster Abstract]. In: Annual PSU Sustainable Cropping Systems Symposium, (6º, 2016, The Pennsylvania State University, USA), 2016.Biblioteca(s): INIA Treinta y Tres. |
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109. | | PRAVIA, V.; KEMANIAN, A.R.; QUINCKE, A.; DIAZ, R.; TERRA, J.A.; SAHA, D. Does soil organic carbon and the fresh carbon input rate affect humification rate? A test in long-term crop pasture systems. [Poster]. In: Annual PSU Sustainable Cropping Systems Symposium, (6º, 2016, The Pennsylvania State University, USA), 2016.Biblioteca(s): INIA Treinta y Tres. |
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112. | | NIELL, S.; JESÚS, F.; PÉREZ, C.; MENDOZA, Y.; DIAZ, R.; FRANCO, J.; CESIO, V.; HEINZEN, H. QuEChERS adaptability for the analysis of pesticide residues in beehive products seeking the development of an agroecosystem sustainability monitor. Journal of Agricultural and Food Chemistry, 13 May 2015, Volume 63, Issue 18, Pages 4484-4492. Article history: Publication Date (Web): 16 Apr 2015Biblioteca(s): INIA La Estanzuela. |
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115. | | NIELL, S.; JESÚS F.; DÍAZ , R.; MENDOZA, Y.; NOTTE, G.; SANTOS,E.; GÉREZ, N.; VERÓNICA, M.; CANCELA, H. Agroecology environment quality quotient (AEQ), an indicator of both, the beehive fitness and the contamination level of the environment by pesticides Ecological Indicators, November 2019, Volume 106, Article number 105448. Article history: Received 2 March 2019/ Revised 3 May 2019/ Accepted 29 May 2019/ Available online 20 June 2019.Biblioteca(s): INIA La Estanzuela. |
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116. | | NIELL, S.; JESÚS, F.; DÍAZ, R.; MENDOZA, Y.; NOTTE, G.; SANTOS, E.; GÉREZ, N.; CESIO, V.; HORACIO HEINZEN Beehives biomonitor pesticides in agroecosystems: Simple chemical and biological indicators evaluation using Support Vector Machines (SVM). Ecological Indicators, August 2018, Volume 91, Pages 149-154. Article history: Received 13 May 2017/ Revised 10 January 2018/ Accepted 12 March 2018/ Available online 7 April 2018.Biblioteca(s): INIA La Estanzuela. |
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117. | | NIELL, S.; ABBATE, S.; CESIO, V.; DÍAZ, R.; DIAZ-CETTI, S.; CHAMBÓN, C.; CARRASCO-LETELIER, L.; MENDOZA, Y.; HEINZEN, H. Estudio de la colmena como biomonitor de la calidad ambiental del agroecosistema de la soja en el Uruguay. In: ENCUENTRO DE INVESTIGADORES DEL NORTE, 3., 2012, Salto UY. [Posters]. Salto: UdelaR. Regional Norte, 2012.Biblioteca(s): INIA La Estanzuela. |
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118. | | RUSSELL, A.; JOHNSON, S.; CIBILS-STEWART, X.; MCKAY, F.; MOSHMAN, L.; MADEIRA, P.; BLAIR, Z.; DÍAZ, R. Surveys in Argentina and Uruguay reveal Cyrtobagous salviniae (Coleoptera: Curculionidae) populations adapted to survive temperate climates in southeastern USA. Biological Control, 2017, v. 107: 41-49. Article history: Received 13 October 2016 / Revised 18 January 2017 / Accepted 19 January 2017 / Available online 23 January 2017Biblioteca(s): INIA Las Brujas. |
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119. | | DE BARBIERI, I.; GIORELLO, D.; VAN LIER, E.; TAFERNABERRY, A.; ROMANIUK, E.; CARAVIA, E.; DÍAZ, R.; RATTIN, F.; REYNO, R. Una buena recría de corderos utilizando Paspalum notatum INIA Sepé. Producción Animal. Revista INIA Uruguay, Junio 2022, no.69, p.25-28. (Revista INIA; 69).Biblioteca(s): INIA Las Brujas. |
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120. | | Nielli, S.; Cesio, V.; Díaz, R.; Díaz-Cetti, S.; Chambón, C.; Carrasco-Letelier, L.; Mendoza, Y.; Heinzen, H.; Rauduviniche, L.; Ramallo, G. colmena como monitor de calidad ambiental en Uruguay ln: "Uruguay. Instituto Nacional de Investigación Agropecuaria (INIA). Estación Experimental La Estanzuela ""Alberto Boerger""". Avances sobre el manejo de la colmena. La Estanzuela: INIA, 2012. p. 9 Serie Actividades de Difusión ; 683 : Documentos Online ; 192 También disponible en versión electrónicaBiblioteca(s): INIA Las Brujas. |
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Registros recuperados : 125 | |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
12/09/2014 |
Actualizado : |
08/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 2 |
Autor : |
FITZGERALD, M.A.; BERGMAN, C.J.; RESURRECCION, A.P.; MOLLER, J.; JIMENEZ, R.; REINKE, R.F.; MARTIN, M.; BLANCO, P.; MOLINA, F.; CHEN, M.-H.; KURI, V.; ROMERO, M.V.; HABIBI, F.; UMEMOTO, T.; JONGDEE, S.; GRATEROL, E.; REDDY, K.R.; BASSINELLO, P.Z.; SIVAKAMI, R.; RANI, N.S.; DAS, S.; WANG, Y.J.; INDRASARI, S.D.; RAMLI, A.; AHMAD, R.; DIPTI, S.S.; XIE, L.; LANG, N.T.; SINGH, P.; PORO, D.C.; TAVASOLI, F.; MESTRES, C. |
Afiliación : |
BLANCO BARRAL, PEDRO HORACIO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; MOLINA CASELLA, FEDERICO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Addressing the dilemmas of measuring amylose in rice. |
Fecha de publicación : |
2009 |
Fuente / Imprenta : |
Cereal Chemistry, 2009, v. 86, no. 5, p. 492-498. |
ISSN : |
0009-0352 |
DOI : |
10.1094/CCHEM-86-5-0492 |
Idioma : |
Inglés |
Contenido : |
Amylose content is a parameter that correlates with the cooking behavior of rice. It is measured at the earliest possible stages of rice improvement programs to enable breeders to build the foundations of appropriate grain quality during cultivar development. Amylose is usually quantified by absorbance of the amylose-iodine complex. The International Network for Quality Rice (INQR) conducted a survey to determine ways that amylose is measured, reproducibility between laboratories, and sources of variation. Each laboratory measured the amylose content of a set of 17 cultivars of rice. The study shows that five different versions of the iodine binding method are in use. The data show that repeatability was high within laboratories but reproducibility between laboratories was low. The major sources of variability were the way the standard curve was constructed and the iodine binding capacity of the potato amylose used to produce the standard. Reproducibility is much lower between laboratories using a standard curve of potato amylose alone compared with those using calibrated rice cultivars. This study highlights the need to standardize the way amylose is measured, and presents research avenues for doing so. |
Thesagro : |
AMILOSA; ARROZ; CALIDAD CULINARIA. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 02591naa a2200553 a 4500 001 1050218 005 2019-10-08 008 2009 bl uuuu u00u1 u #d 022 $a0009-0352 024 7 $a10.1094/CCHEM-86-5-0492$2DOI 100 1 $aFITZGERALD, M.A. 245 $aAddressing the dilemmas of measuring amylose in rice.$h[electronic resource] 260 $c2009 520 $aAmylose content is a parameter that correlates with the cooking behavior of rice. It is measured at the earliest possible stages of rice improvement programs to enable breeders to build the foundations of appropriate grain quality during cultivar development. Amylose is usually quantified by absorbance of the amylose-iodine complex. The International Network for Quality Rice (INQR) conducted a survey to determine ways that amylose is measured, reproducibility between laboratories, and sources of variation. Each laboratory measured the amylose content of a set of 17 cultivars of rice. The study shows that five different versions of the iodine binding method are in use. The data show that repeatability was high within laboratories but reproducibility between laboratories was low. The major sources of variability were the way the standard curve was constructed and the iodine binding capacity of the potato amylose used to produce the standard. Reproducibility is much lower between laboratories using a standard curve of potato amylose alone compared with those using calibrated rice cultivars. This study highlights the need to standardize the way amylose is measured, and presents research avenues for doing so. 650 $aAMILOSA 650 $aARROZ 650 $aCALIDAD CULINARIA 700 1 $aBERGMAN, C.J. 700 1 $aRESURRECCION, A.P. 700 1 $aMOLLER, J. 700 1 $aJIMENEZ, R. 700 1 $aREINKE, R.F. 700 1 $aMARTIN, M. 700 1 $aBLANCO, P. 700 1 $aMOLINA, F. 700 1 $aCHEN, M.-H. 700 1 $aKURI, V. 700 1 $aROMERO, M.V. 700 1 $aHABIBI, F. 700 1 $aUMEMOTO, T. 700 1 $aJONGDEE, S. 700 1 $aGRATEROL, E. 700 1 $aREDDY, K.R. 700 1 $aBASSINELLO, P.Z. 700 1 $aSIVAKAMI, R. 700 1 $aRANI, N.S. 700 1 $aDAS, S. 700 1 $aWANG, Y.J. 700 1 $aINDRASARI, S.D. 700 1 $aRAMLI, A. 700 1 $aAHMAD, R. 700 1 $aDIPTI, S.S. 700 1 $aXIE, L. 700 1 $aLANG, N.T. 700 1 $aSINGH, P. 700 1 $aPORO, D.C. 700 1 $aTAVASOLI, F. 700 1 $aMESTRES, C. 773 $tCereal Chemistry, 2009$gv. 86, no. 5, p. 492-498.
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