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| Registros recuperados : 4 | |
| 1. |  | PRETINI, N.; VANZETTI, L. S.; TERRILE, I. I.; SILVA, P.; FERRARI, G.; GONZÁLEZ, F. G. Enhancing wheat yield potential through the QTL QFFE.perg-5A and QFEm.perg-3A associated to spike fruiting efficiency: Insights from plot-level analysis. Field Crops Research, March 2025, volume 322, 109721. https://doi.org/10.1016/j.fcr.2024.109721 Article history: Received 30 September 2024, Revised 12 December 2024, Accepted 19 December 2024, Available online 6 January 2025, Version of Record 6 January 2025. -- Corresponding author at: Instituto Nacional de Tecnología Agropecuaria...| Biblioteca(s): INIA Las Brujas. |
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| 2. | | CURIN, F.; BALMACEDA, M.; BRACH, A.; CASTRO, M.; KAVANOVÁ, M.; OTERO, A.; ROSETTI, L.; RUIZ, M.; ALFARO, C.; QUINCKE, A.; ZUIL, S.; GONZÁLEZ, F.G. Evaluación de cultivares de trigo contrastantes para tolerancia a deficit hídrico en un amplio rango de ambientes en el cono sur de America. In: IX Congreso Nacional de Calidad de Trigo, 9°; VII Simposio de Cereales de siembra otoño-invernal; III Reunión del Mercosur, 29-30 setiembre 2021, tres arroyos, Provincia de Buenos Aires, Argentina: La Chacra Experimental Integrada Barrow, Instituto Nacional de Tecnología Agropecuaria (INTA), Centro Regional de Ingenieros Agrónomos de Tres Arroyos (CRIATA), Centro Regional de Estudios Superiores de Tres Arroyos (CRESTA).Modalidad Virtual.| Biblioteca(s): INIA La Estanzuela. |
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| 3. | | JARDON, M.; ALVAREZ PRADO, S.; SEVERINI, A.D.; FERNÁNDEZ LONG, M.E.; CRESPO, A.O.; CASTRO, M.; QUINCKE, M.; KAVANOVÁ, M.; SCHOLZ DRODOWSKI, R.; CHÁVEZ SANABRIA, P.; PEREZ-GIANMARCO, T.; ALFARO, C.; CASTILLO, D.; MATUS, I.; GÓMEZ, D; SERRAGO, R.; GÓNZALEZ, F.G.; MIRALLES, D.J. CRONOTRIGO 2.0: nueva versión del modelo de predicción fenológica para el cultivo de trigo. In: Revista Técnica de la Asociación Argentina de Productores en Siembra Directa, Abril 2021, Rosario: AAPRESID. p. 53-60. Se incorporaron cambios respecto a la versión original en cuanto al alcance y la precisión del modelo.| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | BODEN, S.A.; MCINTOSH, R.A.; UAUY, C.; KRATTINGER, S.G.; DUBCOVSKY, J.; ROGERS, W.J.; XIA, X.C.; BADAEVA, E.D.; BENTLEY, A.R.; BROWN-GUEDIRA, G.; CACCAMO, M.; CATTIVELLI, L.; CHHUNEJA, P.; COCKRAM, J.; CONTRERAS-MOREIRA, B.; DREISIGACKER, S.; EDWARDS, D.; GONZÁLEZ, F.G.; GUZMÁN, C.; IKEDA, T.M.; KARSAI, I.; NASUDA, S.; POZNIAK, C.; PRINS, R.; SEN, T.Z.; SILVA, P.; SIMKOVA, H.; ZHANG, Y. Updated guidelines for gene nomenclature in wheat. Theoretical and Applied Genetics, 2023, Volume 136, Issue 4, article 72. OPEN ACCESS. Doi: https://doi.org/10.1007/s00122-023-04253-w Article history: Received 25 May 2022, Accepted 10 October 2022, Published 23 March 2023. -- Communicated by Peter Langridge. -- Correspondence authors: Boden, S.A.; School of Agriculture, Food and Wine, Waite Research Institute,...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 4 | |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
23/09/2019 |
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Actualizado : |
23/09/2019 |
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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 : |
NIELL, S.; JESÚS F.; DÍAZ , R.; MENDOZA, Y.; NOTTE, G.; SANTOS,E.; GÉREZ, N.; VERÓNICA, M.; CANCELA, H. |
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Afiliación : |
SILVINA NIELL, Universidad de la República, CENUR Litoral Norte Sede Paysandú, DQL, PAAP, Ruta 3 km 363, Paysandú, Uruguay.; FLORENCIA JESÚS, Universidad de la República, CENUR Litoral Norte Sede Paysandú, DQL, PAAP, Ruta 3 km 363, Paysandú, Uruguay.; ROSANA DÍAZ, Ministerio Ganadería Agricultura y Pesca-DIGEGRA Montevideo, Uruguay; YAMANDU MENDOZA SPINA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GASTÓN NOTTE, Universidad de la República, CENUR Litoral Norte Sede Paysandú, DQL, PAAP, Ruta 3 km 363, Paysandú, Uruguay.; ESTELA SANTOS, Universidad de la República, Facultad de Ciencias, Sección Entomología, Iguá esq. Mataojo, Montevideo, Uruguay.; NATALIA GÉREZ, Universidad de la República, Facultad de Química, Cátedra de Farmacognosia, Gral. Flores 2124, Montevideo, Uruguay.; MARIA VERÓNICA, Cesio Universidad de la República, CENUR Litoral Norte Sede Paysandú, DQL, PAAP, Ruta 3 km 363, Paysandú, Uruguay; HÉCTOR CANCELA, Universidad de la República, Facultad de Ingeniería, Instituto de Computación, Montevideo, Uruguay. |
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Título : |
Agroecology environment quality quotient (AEQ), an indicator of both, the beehive fitness and the contamination level of the environment by pesticides |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Ecological Indicators, November 2019, Volume 106, Article number 105448. |
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DOI : |
10.1016/j.ecolind.2019.105448 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 2 March 2019/ Revised 3 May 2019/ Accepted 29 May 2019/ Available online 20 June 2019. |
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Contenido : |
Abstract:Three years pesticide residues monitoring data in pollen, wax, bees and honey from sentinel apiaries in different agroecosystems in Uruguay were used for meta analysis. Support vector machines (SVM) algorithm was used previously to classify environments and is the basis of the present work. An useful indicator was developed to classify the contamination status of both beehives and associated environment. The index is a quotient between hive simple demographic parameters and the sum of toxic units for each pesticide found in it. The Agroecology Environment Quality quotient (AEQ) can be scaled in three different levels. When it is below 1, the hive will hardly develop in such environment. AEQ values between 1 and 2 indicate that the hive could have some restrictions to develop in such environment due to pesticide contamination but probably it will be productive. In the cases where the index is above 2, the hive will develop well in the environment where it is located. AEQ permits simultaneously to obtain different information. These are: the surveillance of good agricultural practices accomplishment in agroecosystems, the selection of the best environment to perform apicultural activities as well as to monitor the productivity and development of the beehives. |
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Palabras claves : |
AGROECOSYSTEMS; BEES; CALIDAD DEL MEDIO AMBIENTE AGROECOLÓGICO (AEQ); INDICATORS; NIVEL DE CONTAMINACIÓN; PESTICIDAS; PESTICIDES; RISKS. |
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Thesagro : |
ABEJAS. |
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Asunto categoría : |
T01 Polución |
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Marc : |
LEADER 02431naa a2200349 a 4500
001 1060205
005 2019-09-23
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ecolind.2019.105448$2DOI
100 1 $aNIELL, S.
245 $aAgroecology environment quality quotient (AEQ), an indicator of both, the beehive fitness and the contamination level of the environment by pesticides$h[electronic resource]
260 $c2019
500 $aArticle history: Received 2 March 2019/ Revised 3 May 2019/ Accepted 29 May 2019/ Available online 20 June 2019.
520 $aAbstract:Three years pesticide residues monitoring data in pollen, wax, bees and honey from sentinel apiaries in different agroecosystems in Uruguay were used for meta analysis. Support vector machines (SVM) algorithm was used previously to classify environments and is the basis of the present work. An useful indicator was developed to classify the contamination status of both beehives and associated environment. The index is a quotient between hive simple demographic parameters and the sum of toxic units for each pesticide found in it. The Agroecology Environment Quality quotient (AEQ) can be scaled in three different levels. When it is below 1, the hive will hardly develop in such environment. AEQ values between 1 and 2 indicate that the hive could have some restrictions to develop in such environment due to pesticide contamination but probably it will be productive. In the cases where the index is above 2, the hive will develop well in the environment where it is located. AEQ permits simultaneously to obtain different information. These are: the surveillance of good agricultural practices accomplishment in agroecosystems, the selection of the best environment to perform apicultural activities as well as to monitor the productivity and development of the beehives.
650 $aABEJAS
653 $aAGROECOSYSTEMS
653 $aBEES
653 $aCALIDAD DEL MEDIO AMBIENTE AGROECOLÓGICO (AEQ)
653 $aINDICATORS
653 $aNIVEL DE CONTAMINACIÓN
653 $aPESTICIDAS
653 $aPESTICIDES
653 $aRISKS
700 1 $aJESÚS F.
700 1 $aDÍAZ , R.
700 1 $aMENDOZA, Y.
700 1 $aNOTTE, G.
700 1 $aSANTOS,E.
700 1 $aGÉREZ, N.
700 1 $aVERÓNICA, M.
700 1 $aCANCELA, H.
773 $tEcological Indicators, November 2019, Volume 106, Article number 105448.
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