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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
21/06/2023 |
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Actualizado : |
21/06/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CARRA, B.; FRANCESCATTO, P.; RODRIGUEZ, P.; CABRERA, D.; FALERO, M.; DINI, M. |
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Afiliación : |
BRUNO CARRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; P. FRANCESCATTO, Global Technical Development Specialist, PhD., Valent BioSciences Corporation, 870 Technology Way, Libertyville, IL, 60048, USA.; PABLO ANDRES RODRIGUEZ BRUNO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS DANILO CABRERA BOLOGNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARCELO FABIAN FALERO DELGADO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MAXIMILIANO ANTONIO DINI VIÑOLY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Crop load management on apples: alternatives to carbaryl and an organic thinning option on the Uruguay conditions. [Conference paper]. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Acta Horticulturae. 2023, 1366, pp.111-120. https://doi.org/10.17660/ActaHortic.2023.1366.13 |
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ISSN : |
0567-7572 (print); 2406-6168 (electronic) |
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DOI : |
10.17660/ActaHortic.2023.1366.13 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published 30 April 2023. -- Correspondence: Bruno Carra, email: bcarra@inia.org.uy -- In: Acta Horticulturae (ISHS) 1366: XXXI International Horticultural Congress (IHC2022): International Symposium on Innovative Perennial Crops Management. Editors: S. Serra, P.-E. Lauri. -- Place: Angers, France. |
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Contenido : |
ABSTRACT.- Apple trees set many more fruit than desired, requiring a crop load adjustment to achieve acceptable fruit size in the season and an adequate return bloom, thus avoiding biennial bearing. Thus, the aim of this study was to evaluate the effect of different plant growth regulators as 6-benzyladenine (6-BA) and naphthaleneacetic acid (NAA) sprays and lime sulfur (LS) in apple thinning. Two trials were carried out in Uruguay on 2020/2021 growing season in 'Gala Baigent' and 'Rosy Glow' apples, respectively. Productive and quality parameters were evaluated. LS (3%) sprayed three times near the bloom and the different combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) showed positive results reducing the number of thinned fruit and time of hand thinning compared to control trees in 'Gala Baigent' in 2020/2021 growing season. LS (3%) and the combination of 6-BA + NAA increased fruit weight of 'Gala Baigent' and did not significantly reduce yield on 2020/2021 growing season. For 'Rosy Glow' apples, LS sprayed three times reduced the number of thinned fruit and time of hand thinning compared to control. Fruit weight of 'Rosy Glow' apples was not increased by LS neither NAA at full bloom + 6-BA at petal fall, however, the combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) at petal fall and the multiple sprays of NAA at full bloom plus the combination of 6-BA and NAA at petal fall, plus 6-BA + mineral oil at 15-18 mm increased fruit weight compared to untreated control trees. Collectively, our results are promising and indicate all the thinners used are potential tools on a chemical thinning program for apples to replace carbaryl. Furthermore, LS could be an option for growers in a thinning program, including for organic production. © 2023 International Society for Horticultural Science. All rights reserved. MenosABSTRACT.- Apple trees set many more fruit than desired, requiring a crop load adjustment to achieve acceptable fruit size in the season and an adequate return bloom, thus avoiding biennial bearing. Thus, the aim of this study was to evaluate the effect of different plant growth regulators as 6-benzyladenine (6-BA) and naphthaleneacetic acid (NAA) sprays and lime sulfur (LS) in apple thinning. Two trials were carried out in Uruguay on 2020/2021 growing season in 'Gala Baigent' and 'Rosy Glow' apples, respectively. Productive and quality parameters were evaluated. LS (3%) sprayed three times near the bloom and the different combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) showed positive results reducing the number of thinned fruit and time of hand thinning compared to control trees in 'Gala Baigent' in 2020/2021 growing season. LS (3%) and the combination of 6-BA + NAA increased fruit weight of 'Gala Baigent' and did not significantly reduce yield on 2020/2021 growing season. For 'Rosy Glow' apples, LS sprayed three times reduced the number of thinned fruit and time of hand thinning compared to control. Fruit weight of 'Rosy Glow' apples was not increased by LS neither NAA at full bloom + 6-BA at petal fall, however, the combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) at petal fall and the multiple sprays of NAA at full bloom plus the combination of 6-BA and NAA at petal fall, plus 6-BA + mineral oil at 15-18 mm increased fruit weight compared to untreated control trees... Presentar Todo |
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Palabras claves : |
6-benzyladenine; Fruit set; Lime sulfur; Malus × domestica Borkh; Naphthaleneacetic acid; Plant growth regulators; SISTEMA VEGETAL INTENSIVO - INIA; Yield. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03173naa a2200313 a 4500
001 1064204
005 2023-06-21
008 2023 bl uuuu u00u1 u #d
022 $a0567-7572 (print); 2406-6168 (electronic)
024 7 $a10.17660/ActaHortic.2023.1366.13$2DOI
100 1 $aCARRA, B.
245 $aCrop load management on apples$balternatives to carbaryl and an organic thinning option on the Uruguay conditions. [Conference paper].$h[electronic resource]
260 $c2023
500 $aArticle history: Published 30 April 2023. -- Correspondence: Bruno Carra, email: bcarra@inia.org.uy -- In: Acta Horticulturae (ISHS) 1366: XXXI International Horticultural Congress (IHC2022): International Symposium on Innovative Perennial Crops Management. Editors: S. Serra, P.-E. Lauri. -- Place: Angers, France.
520 $aABSTRACT.- Apple trees set many more fruit than desired, requiring a crop load adjustment to achieve acceptable fruit size in the season and an adequate return bloom, thus avoiding biennial bearing. Thus, the aim of this study was to evaluate the effect of different plant growth regulators as 6-benzyladenine (6-BA) and naphthaleneacetic acid (NAA) sprays and lime sulfur (LS) in apple thinning. Two trials were carried out in Uruguay on 2020/2021 growing season in 'Gala Baigent' and 'Rosy Glow' apples, respectively. Productive and quality parameters were evaluated. LS (3%) sprayed three times near the bloom and the different combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) showed positive results reducing the number of thinned fruit and time of hand thinning compared to control trees in 'Gala Baigent' in 2020/2021 growing season. LS (3%) and the combination of 6-BA + NAA increased fruit weight of 'Gala Baigent' and did not significantly reduce yield on 2020/2021 growing season. For 'Rosy Glow' apples, LS sprayed three times reduced the number of thinned fruit and time of hand thinning compared to control. Fruit weight of 'Rosy Glow' apples was not increased by LS neither NAA at full bloom + 6-BA at petal fall, however, the combination of 6-BA (100 mg L-1) + NAA (10 mg L-1) at petal fall and the multiple sprays of NAA at full bloom plus the combination of 6-BA and NAA at petal fall, plus 6-BA + mineral oil at 15-18 mm increased fruit weight compared to untreated control trees. Collectively, our results are promising and indicate all the thinners used are potential tools on a chemical thinning program for apples to replace carbaryl. Furthermore, LS could be an option for growers in a thinning program, including for organic production. © 2023 International Society for Horticultural Science. All rights reserved.
653 $a6-benzyladenine
653 $aFruit set
653 $aLime sulfur
653 $aMalus × domestica Borkh
653 $aNaphthaleneacetic acid
653 $aPlant growth regulators
653 $aSISTEMA VEGETAL INTENSIVO - INIA
653 $aYield
700 1 $aFRANCESCATTO, P.
700 1 $aRODRIGUEZ, P.
700 1 $aCABRERA, D.
700 1 $aFALERO, M.
700 1 $aDINI, M.
773 $tActa Horticulturae. 2023, 1366, pp.111-120. https://doi.org/10.17660/ActaHortic.2023.1366.13
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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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