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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
16/08/2016 |
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Actualizado : |
16/11/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ZOPPOLO, R.; SCATONI, I.B.; DUARTE, F.; MUJICA, V.; GABARD, Z. |
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Afiliación : |
ROBERTO JOSE ZOPPOLO GOLDSCHMIDT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IRIS BEATRIZ SCATONI, Universidad de la República (UdelaR)/ Facultad de Agronomía; FELICIA DUARTE, MGAP/ DGSA (Dirección General de Servicios Agricolas); MARIA VALENTINA MUJICA TELIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ZULMA GABARD, MGAP/ DIGEGRA (Dirección General de la Granja, Ex-JUNAGRA). |
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Título : |
Area-wide pest management in deciduous fruits of southern Uruguay. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Acta Horticulturae, 2016, no. 1137, p. 153-160. |
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DOI : |
http://dx.doi.org/10.17660/ActaHortic.2016.1137.21 |
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Idioma : |
Inglés |
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Notas : |
Proc. International Symposium on Innovation in Integrated and Organic Horticulture (INNOHORT). Eds.: S. Bellon et al. |
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Contenido : |
ABSTRACT.
Fruit production in southern Uruguay takes place mostly in orchards with an average area of 7 ha and creates a diverse landscape due to multispecies planting. Since the 1990s, researchers have been addressing the control of major pests in deciduous fruit production within Integrated Pest Management (IPM) guidelines. The mating disruption (MD) method has been relatively successful against both the codling moth (Cydia pomonella - CM) and the oriental fruit moth (Grapholita molesta - OFM) at the farm level. To improve results, an area-wide approach was initiated and, with the participation of the agricultural cooperative JUMECAL, a local plan was implemented covering up to 300 ha during the 2012 growing season. That year, a program to cover over 2100 ha was designed. After two more seasons of successful control, and with increasing grower participation aiming for full coverage to include all neighboring orchards, the program presently includes 3563 ha, nearly 85% of the commercial production area. The system involves 360 growers, and almost 70 scouts that assess damage in the field, follow the insect populations through pheromone traps, and register pesticide applications. Our results show that over 95% of the area counts less than 0.5% of the damage from lepidopteran pests (CM, OFM and two South American leaf rollers) and a reduction of insecticide use. Many growers even obtain very good results with only one insecticide spray. These changes bring about new balances within the fruit production system, with some secondary pests decreasing while the economic importance of others increases. This has set new challenges for managing certain pests and developing alternative tactics to replace conventional insecticides. Current results, changes in the program design and future projections are presented and discussed.
© ISHS MenosABSTRACT.
Fruit production in southern Uruguay takes place mostly in orchards with an average area of 7 ha and creates a diverse landscape due to multispecies planting. Since the 1990s, researchers have been addressing the control of major pests in deciduous fruit production within Integrated Pest Management (IPM) guidelines. The mating disruption (MD) method has been relatively successful against both the codling moth (Cydia pomonella - CM) and the oriental fruit moth (Grapholita molesta - OFM) at the farm level. To improve results, an area-wide approach was initiated and, with the participation of the agricultural cooperative JUMECAL, a local plan was implemented covering up to 300 ha during the 2012 growing season. That year, a program to cover over 2100 ha was designed. After two more seasons of successful control, and with increasing grower participation aiming for full coverage to include all neighboring orchards, the program presently includes 3563 ha, nearly 85% of the commercial production area. The system involves 360 growers, and almost 70 scouts that assess damage in the field, follow the insect populations through pheromone traps, and register pesticide applications. Our results show that over 95% of the area counts less than 0.5% of the damage from lepidopteran pests (CM, OFM and two South American leaf rollers) and a reduction of insecticide use. Many growers even obtain very good results with only one insecticide spray. These changes bring about new balances... Presentar Todo |
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Palabras claves : |
CODING MOTH; MATING DISRUPTION; ORIENTAL MOTH; POME FRUITS; STONE FRUITS. |
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Thesagro : |
FRUTALES; FRUTAS DE HUESO; FRUTAS DE PEPITA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02774naa a2200289 a 4500
001 1055275
005 2020-11-16
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.17660/ActaHortic.2016.1137.21$2DOI
100 1 $aZOPPOLO, R.
245 $aArea-wide pest management in deciduous fruits of southern Uruguay.$h[electronic resource]
260 $c2016
500 $aProc. International Symposium on Innovation in Integrated and Organic Horticulture (INNOHORT). Eds.: S. Bellon et al.
520 $aABSTRACT. Fruit production in southern Uruguay takes place mostly in orchards with an average area of 7 ha and creates a diverse landscape due to multispecies planting. Since the 1990s, researchers have been addressing the control of major pests in deciduous fruit production within Integrated Pest Management (IPM) guidelines. The mating disruption (MD) method has been relatively successful against both the codling moth (Cydia pomonella - CM) and the oriental fruit moth (Grapholita molesta - OFM) at the farm level. To improve results, an area-wide approach was initiated and, with the participation of the agricultural cooperative JUMECAL, a local plan was implemented covering up to 300 ha during the 2012 growing season. That year, a program to cover over 2100 ha was designed. After two more seasons of successful control, and with increasing grower participation aiming for full coverage to include all neighboring orchards, the program presently includes 3563 ha, nearly 85% of the commercial production area. The system involves 360 growers, and almost 70 scouts that assess damage in the field, follow the insect populations through pheromone traps, and register pesticide applications. Our results show that over 95% of the area counts less than 0.5% of the damage from lepidopteran pests (CM, OFM and two South American leaf rollers) and a reduction of insecticide use. Many growers even obtain very good results with only one insecticide spray. These changes bring about new balances within the fruit production system, with some secondary pests decreasing while the economic importance of others increases. This has set new challenges for managing certain pests and developing alternative tactics to replace conventional insecticides. Current results, changes in the program design and future projections are presented and discussed. © ISHS
650 $aFRUTALES
650 $aFRUTAS DE HUESO
650 $aFRUTAS DE PEPITA
653 $aCODING MOTH
653 $aMATING DISRUPTION
653 $aORIENTAL MOTH
653 $aPOME FRUITS
653 $aSTONE FRUITS
700 1 $aSCATONI, I.B.
700 1 $aDUARTE, F.
700 1 $aMUJICA, V.
700 1 $aGABARD, Z.
773 $tActa Horticulturae, 2016, no. 1137, p. 153-160.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha actual : |
12/11/2015 |
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Actualizado : |
09/10/2019 |
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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 : |
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. |
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Afiliación : |
MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Agricultural and Forest Meteorology, 2015, v.214-215, p. 483-493. |
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ISSN : |
0168-1923 |
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DOI : |
10.1016/j.agrformet.2015.09.013 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015. |
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Contenido : |
ABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2].
© 2015 Elsevier B.V. All rights reserved. MenosABSTRACT.
Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in... Presentar Todo |
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Palabras claves : |
Climate change; CROP MODEL; Emulator; MAIZE; Meta-model; MODELIZACIÓN DE LOS CULTIVOS; RICE; Statistical model; WHEAT; Yield. |
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Thesagro : |
ARROZ; CAMBIO CLIMÁTICO; MAÍZ; MODELOS ESTADISTICOS; TRIGO. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 05363naa a2201417 a 4500
001 1053856
005 2019-10-09
008 2015 bl uuuu u00u1 u #d
022 $a0168-1923
024 7 $a10.1016/j.agrformet.2015.09.013$2DOI
100 1 $aMARCAIDA, M.
245 $aA statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration.
260 $c2015
500 $aArticle history: Received 6 March 2015 / Received in revised form 29 July 2015 / Accepted 20 September 2015 / Available online 1 October 2015.
520 $aABSTRACT. Ensembles of process-based crop models are increasingly used to simulate crop growth for scenariosof temperature and/or precipitation changes corresponding to different projections of atmospheric CO2concentrations. This approach generates large datasets with thousands of simulated crop yield data. Suchdatasets potentially provide new information but it is difficult to summarize them in a useful way due totheir structural complexities. An associated issue is that it is not straightforward to compare crops and tointerpolate the results to alternative climate scenarios not initially included in the simulation protocols.Here we demonstrate that statistical models based on random-coefficient regressions are able to emulateensembles of process-based crop models. An important advantage of the proposed statistical models isthat they can interpolate between temperature levels and between CO2concentration levels, and canthus be used to calculate temperature and [CO2] thresholds leading to yield loss or yield gain, without re-running the original complex crop models. Our approach is illustrated with three yield datasets simulatedby 19 maize models, 26 wheat models, and 13 rice models. Several statistical models are fitted to thesedatasets, and are then used to analyze the variability of the yield response to [CO2] and temperature.Based on our results, we show that, for wheat, a [CO2] increase is likely to outweigh the negative effectof a temperature increase of +2◦C in the considered sites. Compared to wheat, required levels of [CO2]increase are much higher for maize, and intermediate for rice. For all crops, uncertainties in simulatingclimate change impacts increase more with temperature than with elevated [CO2]. © 2015 Elsevier B.V. All rights reserved.
650 $aARROZ
650 $aCAMBIO CLIMÁTICO
650 $aMAÍZ
650 $aMODELOS ESTADISTICOS
650 $aTRIGO
653 $aClimate change
653 $aCROP MODEL
653 $aEmulator
653 $aMAIZE
653 $aMeta-model
653 $aMODELIZACIÓN DE LOS CULTIVOS
653 $aRICE
653 $aStatistical model
653 $aWHEAT
653 $aYield
700 1 $aASSENG, S.
700 1 $aEWERT, F.
700 1 $aBASSU, S.
700 1 $aDURAND, J.L.
700 1 $aLI, T.
700 1 $aMARTRE, P.
700 1 $aADAM, M.
700 1 $aAGGARWAL, P.K.
700 1 $aANGULO, C.
700 1 $aBARON, C.
700 1 $aBASSO, B.
700 1 $aBERTUZZI, P.
700 1 $aBIERNATH, C.
700 1 $aBOOGAARD, H.
700 1 $aBOOTE, K.J.
700 1 $aBOUMAN, B.
700 1 $aBREGAGLIO, S.
700 1 $aBRISSON, N.
700 1 $aBUIS, S.
700 1 $aCAMMARANO, D.
700 1 $aCHALLINOR, A.J.
700 1 $aCONFALONIERI, R.
700 1 $aCONIJN, J.G.
700 1 $aCORBEELS, M.
700 1 $aDERYNG, D.
700 1 $aDE SANCTIS, G.
700 1 $aDOLTRA, J.
700 1 $aFUMOTO, T.
700 1 $aGAYDON, D.
700 1 $aGAYLER, S.
700 1 $aGOLDBERG, R.
700 1 $aGRANT, R.F.
700 1 $aGRASSINI, P.
700 1 $aHATFIELD, J.L.
700 1 $aHASEGAWA, T.
700 1 $aHENG, L.
700 1 $aHOEK, S.
700 1 $aHOOKER, J.
700 1 $aHUNT, L.A.
700 1 $aINGWERSEN, J.
700 1 $aIZAURRALDE, R.C.
700 1 $aJONGSCHAAP, R.E.E.
700 1 $aJONES, J.W.
700 1 $aKEMANIAN, R.A.
700 1 $aKERSEBAUM, K.C.
700 1 $aKIM, S.-H.
700 1 $aLIZASO, J.
700 1 $aMÜLLER, C.
700 1 $aNAKAGAWA, H.
700 1 $aNARESH KUMAR, S.
700 1 $aNENDEL, C.
700 1 $aO'LEARY, G.J.
700 1 $aOLESEN, J.E.
700 1 $aORIOL, P.
700 1 $aOSBORNE, T.M.
700 1 $aPALOSUO, T.
700 1 $aPRAVIA, V.
700 1 $aPRIESACK, E.
700 1 $aRIPOCHE, D.
700 1 $aROSENZWEIG, C.
700 1 $aRUANE, A.C.
700 1 $aRUGET, F.
700 1 $aSAU, F.
700 1 $aSEMENOV, M.A.
700 1 $aSHCHERBAK, I.
700 1 $aSINGH, B.
700 1 $aSINGH, U.
700 1 $aSOO, H.K.
700 1 $aSTEDUTO, P.
700 1 $aSTÖCKLE, C.
700 1 $aSTRATONOVITCH, P.
700 1 $aSTRECK, T.
700 1 $aSUPIT, I.
700 1 $aTANG, L.
700 1 $aTAO, F.
700 1 $aTEIXEIRA, E.I.
700 1 $aTHORBURN, P.
700 1 $aTIMLIN, D.
700 1 $aTRAVASSO, M.
700 1 $aRÖTTER, R.P.
700 1 $aWAHA, K.
700 1 $aWALLACH, D.
700 1 $aWHITE, J.W.
700 1 $aWILKENS, P.
700 1 $aWILLIAMS, J.R.
700 1 $aWOLF, J.
700 1 $aYIN, X.
700 1 $aYOSHIDA, H.
700 1 $aZHANG, Z.
700 1 $aZHU, Y.
773 $tAgricultural and Forest Meteorology, 2015$gv.214-215, p. 483-493.
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