Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa

Detalhes bibliográficos
Autor(a) principal: Corassa, Geomar Mateus
Data de Publicação: 2018
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/15162
Resumo: Precision planting has been an emerging concept worldwide; however, the benefits of some technologies associated to this approach are still a knowledge gap. Studies evaluating the benefits of automatic section control technology for planters as well as a comprehensive analysis on soybean seeding rate prescription by yield environment, providing guidelines to variable rate seeding adoption were not yet assessed. Thus, the main goal of this study was to provide scientific knowledge about two new precision agriculture tools: a) automatic section control for planters and b) variable rate seeding for soybean. For the first study (a), the specific goals were to quantify the yield losses from double-planted areas in corn and soybean; quantity the planting area necessary to recover the investment from automatic section control technology; and measure the double-planted area proportion in Brazilian fields. For the second study (b), the main goal was to identify the optimum soybean seeding rate at varying yield environments, providing guidelines to variable rate seeding. Bayesian statistical inference models was used as the main approach. The main outcomes for the first study (a) were to: i) the use of automatic section control for planters increased profitability in both corn and soybean crops, by both seed savings and higher yields for corn and primarily by seed savings for soybean; ii) corn yield losses were primarily related to reduction in grain number per ear than the thousand grain weight component; iii) soybean yields were less sensitive to double-planted area due to a similar number of seeds per unit area and thousand seed weight; iv) when only corn was considered, economic return for the automatic section control was recovered with a smaller planted area; v) the average double-planted area proportion within fields was 5.5% of the total area; however, it increased linearly as planted area raised and for irregular field shapes. Finally, for the second study (b) we documented that i) seeding rate prescription can be optimized when yield environment is considered; the most probable optimum seeding rate should follow the trend from high to low yielding environment: low>medium>high; ii) seeding rate could be reduced by 18% at high relative to low environments, without penalizing yields; however, local factors and adjustments in seeding rates to achieve desired final stand densities with stand loss risks should also be considered.
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spelling Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisaAutomatic section control for planters and variable rate seeding: new approaches to precision plantingAgricultura de precisãoTecnologiaMilhoSojaAmbientePrecision agricultureTechnologyCornSoybeanEnvironmentCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLAPrecision planting has been an emerging concept worldwide; however, the benefits of some technologies associated to this approach are still a knowledge gap. Studies evaluating the benefits of automatic section control technology for planters as well as a comprehensive analysis on soybean seeding rate prescription by yield environment, providing guidelines to variable rate seeding adoption were not yet assessed. Thus, the main goal of this study was to provide scientific knowledge about two new precision agriculture tools: a) automatic section control for planters and b) variable rate seeding for soybean. For the first study (a), the specific goals were to quantify the yield losses from double-planted areas in corn and soybean; quantity the planting area necessary to recover the investment from automatic section control technology; and measure the double-planted area proportion in Brazilian fields. For the second study (b), the main goal was to identify the optimum soybean seeding rate at varying yield environments, providing guidelines to variable rate seeding. Bayesian statistical inference models was used as the main approach. The main outcomes for the first study (a) were to: i) the use of automatic section control for planters increased profitability in both corn and soybean crops, by both seed savings and higher yields for corn and primarily by seed savings for soybean; ii) corn yield losses were primarily related to reduction in grain number per ear than the thousand grain weight component; iii) soybean yields were less sensitive to double-planted area due to a similar number of seeds per unit area and thousand seed weight; iv) when only corn was considered, economic return for the automatic section control was recovered with a smaller planted area; v) the average double-planted area proportion within fields was 5.5% of the total area; however, it increased linearly as planted area raised and for irregular field shapes. Finally, for the second study (b) we documented that i) seeding rate prescription can be optimized when yield environment is considered; the most probable optimum seeding rate should follow the trend from high to low yielding environment: low>medium>high; ii) seeding rate could be reduced by 18% at high relative to low environments, without penalizing yields; however, local factors and adjustments in seeding rates to achieve desired final stand densities with stand loss risks should also be considered.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqO conceito de semeadura precisa tem ganhado destaque em todo o mundo; no entanto, os benefícios de algumas tecnologias associadas a essa abordagem vêm sendo pouco explorados. Estudos que avaliem os benefícios da tecnologia de desligamento automático de seção em semeadoras, por exemplo, bem como análises relacionadas a taxa ótima de semeadura em soja considerando o ambiente de produtividade - fornecendo diretrizes para adoção de taxa variada de sementes - ainda são incipientes. Assim, o objetivo principal deste estudo foi avaliar duas ferramentas inovadoras relacionadas a agricultura de precisão: a) desligamento automático de seção em semeadoras, e b) taxa variada de sementes na cultura da soja. No primeiro estudo (a) os objetivos específicos foram: quantificar as perdas de produtividade em áreas com sobreposição na semeadura para as culturas de milho e soja; quantificar a área de semeadura necessária para recuperar o investimento da tecnologia e, quantificar o percentual de sobreposição durante a semeadura em áreas agrícolas comerciais. Para o segundo estudo (b), o objetivo principal foi identificar a taxa ótima de sementes na cultura da soja considerando diferentes ambientes de produtividade; fornecendo diretrizes para a taxa variada de sementes. Para tal, modelos estatísticos de inferência Bayesiana foram utilizados como abordagem principal. Os principais resultados para o primeiro estudo (a) foram: i) o uso de desligamento automático de seção em semeadoras aumentou a lucratividade em ambas as culturas, sendo por meio da economia de sementes e pela maior produtividade em milho e apenas pela economia de sementes em soja; ii) para a cultura do milho as perdas de produtividade estiveram associadas à redução no número de grãos por espiga e em menor grau ao peso de mil grãos; iii) a produtividade de soja foi menos sensível a sobreposição, devido a compensação proporcional no número de sementes por unidade de área; iv) quando apenas a cultura do milho foi considerada, o retorno econômico da tecnologia ocorreu com uma menor área semeada; v) a proporção média de sobreposição em áreas comerciais foi de 5,5%; no entanto, a sobreposição aumentou significativamente em talhões irregulares. Para o segundo estudo (b), os resultados evidenciaram que i) a taxa de sementes pode ser otimizada e função do ambiente de produtividade; baseado nele, a taxa ótima de semeadura ideal deverá seguir a tendência: baixo>médio>alto ambiente de produtividade; ii) para o banco de dados avaliado, o número de sementes poderia ser reduzido em 18% em ambientes de alta produtividade em comparação aos de baixa, sem penalizar a produtividade; no entanto, fatores locais e o ajustes para atingir a densidade de plantas finais desejada, considerando os riscos de perda de estande, devem ser considerados.Universidade Federal de Santa MariaBrasilEngenharia AgrícolaUFSMPrograma de Pós-Graduação em Engenharia AgrícolaCentro de Ciências RuraisAmado, Telmo Jorge Carneirohttp://lattes.cnpq.br/8591926237097756Pires, João Leonardo Fernandeshttp://lattes.cnpq.br/1158338440186569Hörbe, Tiago de Andrade Neveshttp://lattes.cnpq.br/0629417505020263Werner, Valmirhttp://lattes.cnpq.br/6381020055451118Corassa, Geomar Mateus2018-12-21T16:54:31Z2018-12-21T16:54:31Z2018-05-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/15162porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2018-12-22T05:02:11Zoai:repositorio.ufsm.br:1/15162Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2018-12-22T05:02:11Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
Automatic section control for planters and variable rate seeding: new approaches to precision planting
title Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
spellingShingle Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
Corassa, Geomar Mateus
Agricultura de precisão
Tecnologia
Milho
Soja
Ambiente
Precision agriculture
Technology
Corn
Soybean
Environment
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
title_full Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
title_fullStr Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
title_full_unstemmed Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
title_sort Desligamento automático de seção em semeadoras e taxa variada de sementes: novas abordagens para a semeadura precisa
author Corassa, Geomar Mateus
author_facet Corassa, Geomar Mateus
author_role author
dc.contributor.none.fl_str_mv Amado, Telmo Jorge Carneiro
http://lattes.cnpq.br/8591926237097756
Pires, João Leonardo Fernandes
http://lattes.cnpq.br/1158338440186569
Hörbe, Tiago de Andrade Neves
http://lattes.cnpq.br/0629417505020263
Werner, Valmir
http://lattes.cnpq.br/6381020055451118
dc.contributor.author.fl_str_mv Corassa, Geomar Mateus
dc.subject.por.fl_str_mv Agricultura de precisão
Tecnologia
Milho
Soja
Ambiente
Precision agriculture
Technology
Corn
Soybean
Environment
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
topic Agricultura de precisão
Tecnologia
Milho
Soja
Ambiente
Precision agriculture
Technology
Corn
Soybean
Environment
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description Precision planting has been an emerging concept worldwide; however, the benefits of some technologies associated to this approach are still a knowledge gap. Studies evaluating the benefits of automatic section control technology for planters as well as a comprehensive analysis on soybean seeding rate prescription by yield environment, providing guidelines to variable rate seeding adoption were not yet assessed. Thus, the main goal of this study was to provide scientific knowledge about two new precision agriculture tools: a) automatic section control for planters and b) variable rate seeding for soybean. For the first study (a), the specific goals were to quantify the yield losses from double-planted areas in corn and soybean; quantity the planting area necessary to recover the investment from automatic section control technology; and measure the double-planted area proportion in Brazilian fields. For the second study (b), the main goal was to identify the optimum soybean seeding rate at varying yield environments, providing guidelines to variable rate seeding. Bayesian statistical inference models was used as the main approach. The main outcomes for the first study (a) were to: i) the use of automatic section control for planters increased profitability in both corn and soybean crops, by both seed savings and higher yields for corn and primarily by seed savings for soybean; ii) corn yield losses were primarily related to reduction in grain number per ear than the thousand grain weight component; iii) soybean yields were less sensitive to double-planted area due to a similar number of seeds per unit area and thousand seed weight; iv) when only corn was considered, economic return for the automatic section control was recovered with a smaller planted area; v) the average double-planted area proportion within fields was 5.5% of the total area; however, it increased linearly as planted area raised and for irregular field shapes. Finally, for the second study (b) we documented that i) seeding rate prescription can be optimized when yield environment is considered; the most probable optimum seeding rate should follow the trend from high to low yielding environment: low>medium>high; ii) seeding rate could be reduced by 18% at high relative to low environments, without penalizing yields; however, local factors and adjustments in seeding rates to achieve desired final stand densities with stand loss risks should also be considered.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-21T16:54:31Z
2018-12-21T16:54:31Z
2018-05-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/15162
url http://repositorio.ufsm.br/handle/1/15162
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
Centro de Ciências Rurais
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Engenharia Agrícola
UFSM
Programa de Pós-Graduação em Engenharia Agrícola
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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