Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Duarte Junior, Ary José
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/23524
Resumo: As the largest rice producer country outside the Asian continent, Brazil can potentially contribute for future global rice supply, by sustainable intensifying cropping systems. One of the strategies to achieve this goal is by narrowing the existing yield gap (Yg) in the current farming area. However, crop yield is determined by biological limitations of the genotype, crop management practices, environmental conditions and it is necessary to understand how each one of these factors affect the yield gap. By using crop simulation models, combined with surveys and regression analysis, the rice yield potential for Rio Grande do Sul (from < 6 t ha-¹ to >14 t ha-¹), and the yield losses caused by the delay of the sowing date (0.03 t ha day-¹ from 01-sept a 13-oct, 0.08 t ha day-¹ from 14-oct to 21-dec and 0.29 t ha day-¹ after 21-dec) were estimated. Also, the yield gap in Rio Grande do Sul was estimated, resulting in 7.6 t ha-¹ (48%) of the yield potential, where 10% of the yield gap is caused by genetics (variety choice), 20% is caused by the environment (sowing date) and 70% is caused by management factors. Managements practices that can contribute for the yield gap reduction were also identified, such as crop rotation with soybeans, no-till planting system and use of lower sowing density.
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spelling 2022-01-13T17:47:04Z2022-01-13T17:47:04Z2021-08-24http://repositorio.ufsm.br/handle/1/23524As the largest rice producer country outside the Asian continent, Brazil can potentially contribute for future global rice supply, by sustainable intensifying cropping systems. One of the strategies to achieve this goal is by narrowing the existing yield gap (Yg) in the current farming area. However, crop yield is determined by biological limitations of the genotype, crop management practices, environmental conditions and it is necessary to understand how each one of these factors affect the yield gap. By using crop simulation models, combined with surveys and regression analysis, the rice yield potential for Rio Grande do Sul (from < 6 t ha-¹ to >14 t ha-¹), and the yield losses caused by the delay of the sowing date (0.03 t ha day-¹ from 01-sept a 13-oct, 0.08 t ha day-¹ from 14-oct to 21-dec and 0.29 t ha day-¹ after 21-dec) were estimated. Also, the yield gap in Rio Grande do Sul was estimated, resulting in 7.6 t ha-¹ (48%) of the yield potential, where 10% of the yield gap is caused by genetics (variety choice), 20% is caused by the environment (sowing date) and 70% is caused by management factors. Managements practices that can contribute for the yield gap reduction were also identified, such as crop rotation with soybeans, no-till planting system and use of lower sowing density.Como o maior produtor de arroz fora do continente Asiático, o Brasil pode contribuir potencialmente para a demanda futura por arroz, através da intensificação dos sistemas de produção. Uma das estratégias para alcançar esse objetivo é por meio da redução da lacuna de produtividade existente na área atual. Entretanto, a produtividade é definida por fatores limitantes, como genética, ambiente e manejo, que precisam ser estudados individualmente como afetam a lacuna de produtividade. Utilizando modelos de simulação de culturas, aplicação de questionários e análises de regressão, foi possível estimar o potencial de produtividade de arroz no Rio Grande do Sul (<6 a >14 t ha-¹), e estimar a perda de produtividade causada pelo atraso na semeadura (0.03 t ha dia-¹ de 01/set a 13/out, 0.08 t ha dia-¹ de 14/out a 21/dez e 0.29 t ha dia-¹ após 21/dez). Além disso determinou-se que a lacuna de produtividade de arroz no Rio Grande do Sul é de 7,6 t ha-¹ (48%) em relação ao potencial de produtividade, sendo 10% devido a fatores genéticos (escolha da cultivar), 20% por data de semeadura, e 70% é causada por fatores de manejo. Além disso, foram identificadas práticas de manejo que contribuem para mitigar a lacuna de produtividade, como rotação de culturas com soja, semeadura direta e redução da densidade de semeadura.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em AgronomiaUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessOryza sativa L.Potencial de produtividadeSimulArrozModelagem de culturasYield potentialCrop modellingCNPQ::CIENCIAS AGRARIAS::AGRONOMIADecomposição da lacuna de produtividade de arroz irrigado no Rio Grande do SulDecomposing rice yield gaps in Rio Grande do Sulinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisStreck, Nereu Augustohttp://lattes.cnpq.br/8121082379157248Silva, João Vasco Nunes Vieira daHeinemann, Alexandre Bryanhttp://lattes.cnpq.br/0515424715253433Duarte Junior, Ary José5001000000096006006006006003b01ed40-f2a9-4cc8-9109-59e6f482b05d6eb61c44-9940-41ae-add6-871b8d800374f02c9706-83fc-4ab1-85b2-43d0792f0fc2778d0ec9-e62b-4395-b082-a76a378f6af9reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGAGRONOMIA_2021_DUARTE_JUNIOR_ARY.pdfDIS_PPGAGRONOMIA_2021_DUARTE_JUNIOR_ARY.pdfDissertação de Mestradoapplication/pdf2524786http://repositorio.ufsm.br/bitstream/1/23524/1/DIS_PPGAGRONOMIA_2021_DUARTE_JUNIOR_ARY.pdf66950f9ec45c188ae99d8310fd737d20MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/23524/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/23524/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/235242022-01-13 14:47:05.117oai:repositorio.ufsm.br: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 Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2022-01-13T17:47:05Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
dc.title.alternative.eng.fl_str_mv Decomposing rice yield gaps in Rio Grande do Sul
title Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
spellingShingle Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
Duarte Junior, Ary José
Oryza sativa L.
Potencial de produtividade
SimulArroz
Modelagem de culturas
Yield potential
Crop modelling
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
title_full Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
title_fullStr Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
title_full_unstemmed Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
title_sort Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
author Duarte Junior, Ary José
author_facet Duarte Junior, Ary José
author_role author
dc.contributor.advisor1.fl_str_mv Streck, Nereu Augusto
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8121082379157248
dc.contributor.referee1.fl_str_mv Silva, João Vasco Nunes Vieira da
dc.contributor.referee2.fl_str_mv Heinemann, Alexandre Bryan
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0515424715253433
dc.contributor.author.fl_str_mv Duarte Junior, Ary José
contributor_str_mv Streck, Nereu Augusto
Silva, João Vasco Nunes Vieira da
Heinemann, Alexandre Bryan
dc.subject.por.fl_str_mv Oryza sativa L.
Potencial de produtividade
SimulArroz
Modelagem de culturas
topic Oryza sativa L.
Potencial de produtividade
SimulArroz
Modelagem de culturas
Yield potential
Crop modelling
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Yield potential
Crop modelling
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description As the largest rice producer country outside the Asian continent, Brazil can potentially contribute for future global rice supply, by sustainable intensifying cropping systems. One of the strategies to achieve this goal is by narrowing the existing yield gap (Yg) in the current farming area. However, crop yield is determined by biological limitations of the genotype, crop management practices, environmental conditions and it is necessary to understand how each one of these factors affect the yield gap. By using crop simulation models, combined with surveys and regression analysis, the rice yield potential for Rio Grande do Sul (from < 6 t ha-¹ to >14 t ha-¹), and the yield losses caused by the delay of the sowing date (0.03 t ha day-¹ from 01-sept a 13-oct, 0.08 t ha day-¹ from 14-oct to 21-dec and 0.29 t ha day-¹ after 21-dec) were estimated. Also, the yield gap in Rio Grande do Sul was estimated, resulting in 7.6 t ha-¹ (48%) of the yield potential, where 10% of the yield gap is caused by genetics (variety choice), 20% is caused by the environment (sowing date) and 70% is caused by management factors. Managements practices that can contribute for the yield gap reduction were also identified, such as crop rotation with soybeans, no-till planting system and use of lower sowing density.
publishDate 2021
dc.date.issued.fl_str_mv 2021-08-24
dc.date.accessioned.fl_str_mv 2022-01-13T17:47:04Z
dc.date.available.fl_str_mv 2022-01-13T17:47:04Z
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
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dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
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