Decomposição da lacuna de produtividade de arroz irrigado no Rio Grande do Sul
Main Author: | |
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Publication Date: | 2021 |
Format: | Master thesis |
Language: | por |
Source: | Biblioteca Digital de Teses e Dissertações do UFSM |
Download full: | http://repositorio.ufsm.br/handle/1/23524 |
Summary: | 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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/23524 |
url |
http://repositorio.ufsm.br/handle/1/23524 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
500100000009 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 600 |
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Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Rurais |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Agronomia |
dc.publisher.initials.fl_str_mv |
UFSM |
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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Biblioteca Digital de Teses e Dissertações do UFSM |
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