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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Cerrados. |
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Data corrente: |
25/02/2022 |
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Data da última atualização: |
25/02/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
KOTHARI, K.; BATTISTI, R.; BOOTE, K. J.; ARCHONTOULIS, S. V.; CONFALONE, A.; CONSTANTIN, J.; CUADRA, S. V.; DEBAEKE, P.; FAYE, B.; GRANT, B.; HOOGENBOOM, G.; JING, Q.; VAN DER LAAN, M.; SILVA, F. A. M. da; MARIN, F. R.; NEHBANDANI, A.; NENDEL, C.; PURCELL, L. C.; QIAN, B.; RUANE, A. C.; SCHOVING, C.; SILVA, E. H. F. M.; SMITH, W.; SOLTANI, A.; SRIVASTAVA, A.; VIEIRA JÚNIOR, N. A.; SLONE, S.; SALMERÓN, M. |
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Afiliação: |
KRITIKA KOTHARI, UNIVERSITY OF KENTUCKY; RAFAEL BATTISTI, UFG; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; SOTIRIOS V. ARCHONTOULIS, IOWA STATE UNIVERSITY; ADRIANA CONFALONE, UNIVERSIDAD NACIONAL DEL CENTRO DE LA PROVINCIA DE BUENOS AIRES; JULIE CONSTANTIN, UNIVERSITÉ DE TOULOUSE; SANTIAGO VIANNA CUADRA, CNPTIA; PHILIPPE DEBAEKE, UNIVERSITÉ DE TOULOUSE; BABACAR FAYE, INSTITUT DE RECHERCHE POUR LE D ́EVELOPPEMENT (IRD) ESPACE-DEV; BRIAN GRANT, AGRICULTURE AND AGRI-FOOD CANADA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA; QI JING, AGRICULTURE AND AGRI-FOOD CANADA; MICHAEL VAN DER LAAN, UNIVERSITY OF PRETORIA; FERNANDO ANTONIO MACENA DA SILVA, CPAC; FÁBIO RICARDO MARIN, ESALQ/USP; ALIREZA NEHBANDANI, GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCE; CLAAS NENDEL, University of PotsdaM, Leibniz Centre for Agricultural Landscape ResearcH; LARRY C. PURCELL, UNIVERSITY OF ARKANSAS; BUDONG QIAN, AGRICULTURE AND AGRI-FOOD CANADA; ALEX C. RUANE, NASA GODDARD INSTITUTE FOR SPACE STUDIES; CÉLINE SCHOVING, UNIVERSITÉ DE TOULOUSE, TERRES INOVIA; EVANDRO H. F. M. SILVA, ESALQ/USP; WARD SMITH, AGRICULTURE AND AGRI-FOOD CANADA; AFSHIN SOLTANI, GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RE-SOURCES; AMIT SRIVASTAVA, UNIVERSITY OF BONN; NILSON A. VIEIRA JÚNIOR, ESALQ/USP; STACEY SLONE, UNIVERSITY OF KENTUCKY; MONTSERRAT SALMERÓN, UNIVERSITY OF KENTUCKY. |
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Título: |
Are soybean models ready for climate change food impact assessments? |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
European Journal of Agronomy, v. 135, 126482, Apr. 2022. |
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DOI: |
https://doi.org/10.1016/j.eja.2022.126482 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability to feed a growing population and develop agronomic adaptations to meet future food demand. A coordinated evaluation of yield simulations from process-based eco-physiological models for climate change impact assessment is still missing for soybean, the most widely grown grain legume and the main source of protein in our food chain. In this first soybean multi-model study, we used ten prominent models capable of simulating soybean yield under varying temperature and atmospheric CO2 concentration [CO2] to quantify the uncertainty in soybean yield simulations in response to these factors. Models were first parametrized with high quality measured data from five contrasting environments. We found considerable variability among models in simulated yield responses to increasing temperature and [CO2]. For example, under a + 3 °C temperature rise in our coolest location in Argentina, some models simulated that yield would reduce as much as 24%, while others simulated yield increases up to 29%. In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield. Similarly, when increasing [CO2] from 360 to 540 ppm, the models simulated a yield increase that ranged from 6% to 31%. Model calibration did not reduce variability across models but had an unexpected effect on modifying yield responses to temperature for some of the models. The high uncertainty in model responses indicates the limited applicability of individual models for climate change food projections. However, the ensemble mean of simulations across models was an effective tool to reduce the high uncertainty in soybean yield simulations associated with individual models and their parametrization. Ensemble, ensemble mean yield responses to temperature and [CO2] were similar to those reported from the literature. Our study is the first demonstration of the benefits achieved from using an ensemble of grain legume models for climate change food projections, and highlights that further soybean model development with experiments under elevated [CO2] and temperature is needed to reduce the uncertainty from the individual models. MenosAbstract. An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability to feed a growing population and develop agronomic adaptations to meet future food demand. A coordinated evaluation of yield simulations from process-based eco-physiological models for climate change impact assessment is still missing for soybean, the most widely grown grain legume and the main source of protein in our food chain. In this first soybean multi-model study, we used ten prominent models capable of simulating soybean yield under varying temperature and atmospheric CO2 concentration [CO2] to quantify the uncertainty in soybean yield simulations in response to these factors. Models were first parametrized with high quality measured data from five contrasting environments. We found considerable variability among models in simulated yield responses to increasing temperature and [CO2]. For example, under a + 3 °C temperature rise in our coolest location in Argentina, some models simulated that yield would reduce as much as 24%, while others simulated yield increases up to 29%. In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield. Similarly, when increasing [CO2] from 360 to 540 ppm, the models simulated a yield increase that ranged from 6% to 31%. Model calibration did not reduce variability across models but had an unexpected effect on modifying yield res... Mostrar Tudo |
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Palavras-Chave: |
AgMIP; Agricultural Model Intercomparison and Improvement Project; Impacto das mudanças climáticas; Legume model; Model calibration; Model ensemble; Modelos de soja; Temperature Atmospheric CO2 concentration. |
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Thesagro: |
Glycine Max; Soja; Temperatura. |
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Thesaurus Nal: |
Models; Soybeans; Temperature. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232002/1/AP-Soybean-models-2022.pdf
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Marc: |
LEADER 04032naa a2200625 a 4500
001 2140426
005 2022-02-25
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.eja.2022.126482$2DOI
100 1 $aKOTHARI, K.
245 $aAre soybean models ready for climate change food impact assessments?$h[electronic resource]
260 $c2022
520 $aAbstract. An accurate estimation of crop yield under climate change scenarios is essential to quantify our ability to feed a growing population and develop agronomic adaptations to meet future food demand. A coordinated evaluation of yield simulations from process-based eco-physiological models for climate change impact assessment is still missing for soybean, the most widely grown grain legume and the main source of protein in our food chain. In this first soybean multi-model study, we used ten prominent models capable of simulating soybean yield under varying temperature and atmospheric CO2 concentration [CO2] to quantify the uncertainty in soybean yield simulations in response to these factors. Models were first parametrized with high quality measured data from five contrasting environments. We found considerable variability among models in simulated yield responses to increasing temperature and [CO2]. For example, under a + 3 °C temperature rise in our coolest location in Argentina, some models simulated that yield would reduce as much as 24%, while others simulated yield increases up to 29%. In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield. Similarly, when increasing [CO2] from 360 to 540 ppm, the models simulated a yield increase that ranged from 6% to 31%. Model calibration did not reduce variability across models but had an unexpected effect on modifying yield responses to temperature for some of the models. The high uncertainty in model responses indicates the limited applicability of individual models for climate change food projections. However, the ensemble mean of simulations across models was an effective tool to reduce the high uncertainty in soybean yield simulations associated with individual models and their parametrization. Ensemble, ensemble mean yield responses to temperature and [CO2] were similar to those reported from the literature. Our study is the first demonstration of the benefits achieved from using an ensemble of grain legume models for climate change food projections, and highlights that further soybean model development with experiments under elevated [CO2] and temperature is needed to reduce the uncertainty from the individual models.
650 $aModels
650 $aSoybeans
650 $aTemperature
650 $aGlycine Max
650 $aSoja
650 $aTemperatura
653 $aAgMIP
653 $aAgricultural Model Intercomparison and Improvement Project
653 $aImpacto das mudanças climáticas
653 $aLegume model
653 $aModel calibration
653 $aModel ensemble
653 $aModelos de soja
653 $aTemperature Atmospheric CO2 concentration
700 1 $aBATTISTI, R.
700 1 $aBOOTE, K. J.
700 1 $aARCHONTOULIS, S. V.
700 1 $aCONFALONE, A.
700 1 $aCONSTANTIN, J.
700 1 $aCUADRA, S. V.
700 1 $aDEBAEKE, P.
700 1 $aFAYE, B.
700 1 $aGRANT, B.
700 1 $aHOOGENBOOM, G.
700 1 $aJING, Q.
700 1 $aVAN DER LAAN, M.
700 1 $aSILVA, F. A. M. da
700 1 $aMARIN, F. R.
700 1 $aNEHBANDANI, A.
700 1 $aNENDEL, C.
700 1 $aPURCELL, L. C.
700 1 $aQIAN, B.
700 1 $aRUANE, A. C.
700 1 $aSCHOVING, C.
700 1 $aSILVA, E. H. F. M.
700 1 $aSMITH, W.
700 1 $aSOLTANI, A.
700 1 $aSRIVASTAVA, A.
700 1 $aVIEIRA JÚNIOR, N. A.
700 1 $aSLONE, S.
700 1 $aSALMERÓN, M.
773 $tEuropean Journal of Agronomy$gv. 135, 126482, Apr. 2022.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
29/12/2014 |
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Data da última atualização: |
25/04/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
OLIVEIRA JÚNIOR, A. de; PROCHNOW, L. I.; KLEPKER, D. |
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Afiliação: |
ADILSON DE OLIVEIRA JUNIOR, CNPSO; LUÍS IGNÁCIO PROCHNOW, IPNI; DIRCEU KLEPKER, CPACP. |
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Título: |
Soybean yield in response to application of phosphate rock associated with triple superphosphate. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 68, n. 3, p. 376-385, May/June 2011. |
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ISSN: |
0103-9016 |
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DOI: |
http://dx.doi.org/10.1590/S0103-90162011000300016 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Soybean (Glycine max L. Merrill) crop started to be planted in the Brazilian Cerrado in the 1970's, and this region currently contributes with 57% of total soybean production in Brazil. Under natural conditions in this region, the soils present chemical limitations such as low pH, low Cation Exchange Capacity, low nutrient availability, and moreover, clayey soils have a high P fixation capacity mainly due to high contents of Fe/Al oxides. Since P is the most limiting nutrient is this region, a study was performed in the state of Maranhão, Brazil, in a Typic Hapludox, with clayey texture and low available P (extracted by resin). Treatments were defined to evaluate soybean response to broadcast Arad phosphate rock (PR) plus banded triple superphosphate (TSP) and to evaluate the soybean response to three proportions of PR and TSP. The experiment was established in October 2004 and was carried out for three consecutive crop years (2004/05 to 2006/07). The associated use of PR and TSP, in several situations, resulted in yields at least similar to that obtained with the use of the water soluble P source and, in some cases, even using lower P rates. Regarding the "mixtures", a linear response was observed when they were banded; however, when they were broadcasted, no increase in yield was observed above 50% of relative solubility. In conclusion, the association of sources differing in solubility may be a feasible agronomic option for P fertilizer management of soybeans. RESUMO: O cultivo de soja (Glycine max L. Merrill) na região do Cerrado iniciou-se na década de 1970 e, atualmente, representa aproximadamente 57% da produção total do Brasil. Sob condições naturais, os solos dessa região apresentam limitações químicas, como baixos valores de pH, de Capacidade de Troca de Cátions, de disponibilidade de nutrientes, bem como elevada capacidade de fixação de P nos solos de textura argilosa, principalmente pelos altos teores de óxidos de Fe/Al. Levando-se em conta que o P é o nutriente mais limitante à produção nessa região, foi instalado um experimento no estado do Maranhão, em Latossolo Vermelho-Amarelo distrófico argiloso e com baixo teor disponível de P (extraído com resina). Objetivou-se verificar a resposta da cultura à aplicação do fosfato de rocha Arad (FR) em área total mais superfosfato triplo (SFT) em aplicação localizada; e verificar a resposta da cultura a três proporções de FR e SFT. O experimento foi instalado em outubro de 2004 e conduzido por três safras consecutivas (2004/05 a 2006/07). A utilização associada de FR e SFT, em várias condições, resultou em produtividades no mínimo semelhantes à obtida com a fonte solúvel e, em alguns casos, até utilizando menores quantidades de P. Quanto às "misturas", verificou-se resposta linear para a aplicação localizada; entretanto, para a aplicação a lanço, não houve aumento na produtividade a partir de 50% de solubilidade relativa. Logo, a associação de fontes com solubilidades distintas pode ser uma opção agronomicamente viável para o manejo da adubação fosfatada da soja. MenosABSTRACT: Soybean (Glycine max L. Merrill) crop started to be planted in the Brazilian Cerrado in the 1970's, and this region currently contributes with 57% of total soybean production in Brazil. Under natural conditions in this region, the soils present chemical limitations such as low pH, low Cation Exchange Capacity, low nutrient availability, and moreover, clayey soils have a high P fixation capacity mainly due to high contents of Fe/Al oxides. Since P is the most limiting nutrient is this region, a study was performed in the state of Maranhão, Brazil, in a Typic Hapludox, with clayey texture and low available P (extracted by resin). Treatments were defined to evaluate soybean response to broadcast Arad phosphate rock (PR) plus banded triple superphosphate (TSP) and to evaluate the soybean response to three proportions of PR and TSP. The experiment was established in October 2004 and was carried out for three consecutive crop years (2004/05 to 2006/07). The associated use of PR and TSP, in several situations, resulted in yields at least similar to that obtained with the use of the water soluble P source and, in some cases, even using lower P rates. Regarding the "mixtures", a linear response was observed when they were banded; however, when they were broadcasted, no increase in yield was observed above 50% of relative solubility. In conclusion, the association of sources differing in solubility may be a feasible agronomic option for P fertilizer management of soybeans. R... Mostrar Tudo |
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Thesagro: |
Cerrado; Soja. |
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Thesaurus NAL: |
Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114569/1/Soybean-yield-in-response-to-application-of-phosphate-rock-associated-with-triple-superphosphate.pdf
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Marc: |
LEADER 03790naa a2200205 a 4500
001 2003842
005 2017-04-25
008 2011 bl uuuu u00u1 u #d
022 $a0103-9016
024 7 $ahttp://dx.doi.org/10.1590/S0103-90162011000300016$2DOI
100 1 $aOLIVEIRA JÚNIOR, A. de
245 $aSoybean yield in response to application of phosphate rock associated with triple superphosphate.$h[electronic resource]
260 $c2011
520 $aABSTRACT: Soybean (Glycine max L. Merrill) crop started to be planted in the Brazilian Cerrado in the 1970's, and this region currently contributes with 57% of total soybean production in Brazil. Under natural conditions in this region, the soils present chemical limitations such as low pH, low Cation Exchange Capacity, low nutrient availability, and moreover, clayey soils have a high P fixation capacity mainly due to high contents of Fe/Al oxides. Since P is the most limiting nutrient is this region, a study was performed in the state of Maranhão, Brazil, in a Typic Hapludox, with clayey texture and low available P (extracted by resin). Treatments were defined to evaluate soybean response to broadcast Arad phosphate rock (PR) plus banded triple superphosphate (TSP) and to evaluate the soybean response to three proportions of PR and TSP. The experiment was established in October 2004 and was carried out for three consecutive crop years (2004/05 to 2006/07). The associated use of PR and TSP, in several situations, resulted in yields at least similar to that obtained with the use of the water soluble P source and, in some cases, even using lower P rates. Regarding the "mixtures", a linear response was observed when they were banded; however, when they were broadcasted, no increase in yield was observed above 50% of relative solubility. In conclusion, the association of sources differing in solubility may be a feasible agronomic option for P fertilizer management of soybeans. RESUMO: O cultivo de soja (Glycine max L. Merrill) na região do Cerrado iniciou-se na década de 1970 e, atualmente, representa aproximadamente 57% da produção total do Brasil. Sob condições naturais, os solos dessa região apresentam limitações químicas, como baixos valores de pH, de Capacidade de Troca de Cátions, de disponibilidade de nutrientes, bem como elevada capacidade de fixação de P nos solos de textura argilosa, principalmente pelos altos teores de óxidos de Fe/Al. Levando-se em conta que o P é o nutriente mais limitante à produção nessa região, foi instalado um experimento no estado do Maranhão, em Latossolo Vermelho-Amarelo distrófico argiloso e com baixo teor disponível de P (extraído com resina). Objetivou-se verificar a resposta da cultura à aplicação do fosfato de rocha Arad (FR) em área total mais superfosfato triplo (SFT) em aplicação localizada; e verificar a resposta da cultura a três proporções de FR e SFT. O experimento foi instalado em outubro de 2004 e conduzido por três safras consecutivas (2004/05 a 2006/07). A utilização associada de FR e SFT, em várias condições, resultou em produtividades no mínimo semelhantes à obtida com a fonte solúvel e, em alguns casos, até utilizando menores quantidades de P. Quanto às "misturas", verificou-se resposta linear para a aplicação localizada; entretanto, para a aplicação a lanço, não houve aumento na produtividade a partir de 50% de solubilidade relativa. Logo, a associação de fontes com solubilidades distintas pode ser uma opção agronomicamente viável para o manejo da adubação fosfatada da soja.
650 $aSoybeans
650 $aCerrado
650 $aSoja
700 1 $aPROCHNOW, L. I.
700 1 $aKLEPKER, D.
773 $tScientia Agricola, Piracicaba$gv. 68, n. 3, p. 376-385, May/June 2011.
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