Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões
Ano de defesa: | 2020 |
---|---|
Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Santa Maria
UFSM Palmeira das Missões |
Programa de Pós-Graduação: |
Programa de Pós-Graduação em Agronegócios
|
Departamento: |
Agronomia
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://repositorio.ufsm.br/handle/1/21173 |
Resumo: | The objective of this research was to quantify the physical and economic losses in the pre-harvest and harvest of soybeans (Glycine max.) And the factors that may influence them. Data were analyzed according to the different models of harvesters, year of manufacture, platform size, trail systems, height of insertion of the first pod, cutting height, travel speed at harvest time, type of machine overhaul and factors linked to the operator such as age, education and participation in courses. A structured questionnaire was used to characterize the rural properties where the loss data were collected and the perception of the owners in relation to the losses in the soybean harvest and transport process. Data were collected in the months of March and April of the year 2015 and 2019, in the municipalities of Palmeira das Missões, São Pedro das Missões, Sagrada Família, Cerro Grande, Jaboticaba and Novo Tiradentes, all located in the Northwest Region of the state of Rio Grande do Sul. 215 samples were collected in the pre-harvest, 215 in the platform and 215 in the separation and cleaning trail system (STSL) in properties of 29 producers. In total, the losses of 72 self-propelled harvesters were evaluated, with a year of manufacture between 1986 and 2018. The losses were estimated using the grain weighing method and samples were collected from an area of 2m2, evaluating the losses in the pre-harvest , on the platform, STSL, on the machine and in total. Among the main results, it is noteworthy that the largest losses occurred on the platform and averaged 1.41 sc.ha-1, reflecting machine and total losses, 2.49 and 2.98 sc.ha-1, respectively . The factor year of manufacture, model (commercial brand), type of revision showed difference (P <0.05), while for the model (helical and draper) and platform size, track systems (conventional and axial), height of insertion of the first pod, cutting height, travel speed at harvest time and factors related to the operator, such as age, education, participation in courses, did not show statistical difference (P> 0.05) for harvest losses. Losses in the soybean harvest are above what is considered acceptable. The total average losses of the evaluated producers were 2.98 sc.ha-1, generating an economic loss of R $ 228.83 per ha-1. Regarding the position of the owners, the greatest losses occur due to the age of the harvester, cutting height (cm), the failure to use advanced precision technologies and the inadequate speed at harvest. Thus, considering food waste and that in developing countries, such as Brazil, this waste is greater or more concentrated in the pre-harvest and harvest the monetization of these losses, based on the average soybean price in the 2019/2020 harvest. The results point to the need to adopt preventive measures, such as the review of harvesters before harvesting, to mitigate the negative impact of losses on soybean grain production in the Northwest Region of Rio Grande do Sul. |
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2021-06-22T11:40:54Z2021-06-22T11:40:54Z2020-12-28http://repositorio.ufsm.br/handle/1/21173The objective of this research was to quantify the physical and economic losses in the pre-harvest and harvest of soybeans (Glycine max.) And the factors that may influence them. Data were analyzed according to the different models of harvesters, year of manufacture, platform size, trail systems, height of insertion of the first pod, cutting height, travel speed at harvest time, type of machine overhaul and factors linked to the operator such as age, education and participation in courses. A structured questionnaire was used to characterize the rural properties where the loss data were collected and the perception of the owners in relation to the losses in the soybean harvest and transport process. Data were collected in the months of March and April of the year 2015 and 2019, in the municipalities of Palmeira das Missões, São Pedro das Missões, Sagrada Família, Cerro Grande, Jaboticaba and Novo Tiradentes, all located in the Northwest Region of the state of Rio Grande do Sul. 215 samples were collected in the pre-harvest, 215 in the platform and 215 in the separation and cleaning trail system (STSL) in properties of 29 producers. In total, the losses of 72 self-propelled harvesters were evaluated, with a year of manufacture between 1986 and 2018. The losses were estimated using the grain weighing method and samples were collected from an area of 2m2, evaluating the losses in the pre-harvest , on the platform, STSL, on the machine and in total. Among the main results, it is noteworthy that the largest losses occurred on the platform and averaged 1.41 sc.ha-1, reflecting machine and total losses, 2.49 and 2.98 sc.ha-1, respectively . The factor year of manufacture, model (commercial brand), type of revision showed difference (P <0.05), while for the model (helical and draper) and platform size, track systems (conventional and axial), height of insertion of the first pod, cutting height, travel speed at harvest time and factors related to the operator, such as age, education, participation in courses, did not show statistical difference (P> 0.05) for harvest losses. Losses in the soybean harvest are above what is considered acceptable. The total average losses of the evaluated producers were 2.98 sc.ha-1, generating an economic loss of R $ 228.83 per ha-1. Regarding the position of the owners, the greatest losses occur due to the age of the harvester, cutting height (cm), the failure to use advanced precision technologies and the inadequate speed at harvest. Thus, considering food waste and that in developing countries, such as Brazil, this waste is greater or more concentrated in the pre-harvest and harvest the monetization of these losses, based on the average soybean price in the 2019/2020 harvest. The results point to the need to adopt preventive measures, such as the review of harvesters before harvesting, to mitigate the negative impact of losses on soybean grain production in the Northwest Region of Rio Grande do Sul.O objetivo da presente pesquisa foi quantificar as perdas físicas e econômicas na pré-colheita e colheita da soja (Glycine max.) e os fatores que podem influenciar as mesmas. Analisaram-se dados segundo os diferentes modelos de colheitadeiras, ano de fabricação, tamanho de plataforma, sistemas de trilha, altura de inserção da primeira vagem, altura de corte, velocidade de deslocamento no momento da colheita, tipo de revisão das máquinas e os fatores ligados ao operador como idade, escolaridade e participação de cursos. Utilizou-se um questionário estruturado para realizar a caracterização das propriedades rurais onde os dados de perdas foram coletados e a percepção dos proprietários em relação às perdas no processo de colheita e transporte do grão de soja. Os dados foram coletados nos meses de março e abril dos anos de 2015 e 2019, nos municípios de Palmeira das Missões, São Pedro das Missões, Sagrada Família, Cerro Grande, Jaboticaba e Novo Tiradentes, todos localizados na Região Noroeste do estado do Rio Grande do Sul. Foram coletadas 215 amostras na pré-colheita, 215 na plataforma e 215 no sistema de trilha separação e limpeza (STSL) em propriedades de 29 produtores. Ao total, foram avaliadas as perdas de 72 colheitadeiras autopropelidas, com ano de fabricação entre 1986 a 2018. A estimativa de perdas foi realizada pelo método de pesagem dos grãos e foram coletadas amostras de uma área de 2m2, avaliando as perdas na pré-colheita, na plataforma, STSL, na máquina e no total. Entre os principais resultados, destaca-se que as maiores perdas ocorreram na plataforma e foram em média 1,41 sc.ha-1, refletindo nas perdas da máquina e total, 2,49 e 2,98 sc.ha-1, respectivamente. O fator ano de fabricação, modelo (marca comercial), tipo de revisão apresentaram diferença (P<0,05), enquanto para o modelo (helicoidal e draper) e tamanho de plataforma, sistemas de trilha (convencional e axial), altura de inserção da primeira vagem, altura de corte, velocidade de deslocamento no momento da colheita e fatores ligados ao operador como idade, escolaridade, participação de cursos não apresentaram diferença estatística (P>0,05) para as perdas de colheita. As perdas médias totais dos produtores avaliados foram de 2,98 sc.ha-1, gerando uma perda econômica de R$ 228,83 por ha-1. Em relação a posição dos proprietarios as maiores perdas ocorrem em função da idade da colheitadeira, altura de corte (cm), na não utilização de tecnologias avançadas de precisão e na velocidade inadequada na colheita. Desta forma, considerando o desperdício de alimentos e que em países em desenvolvimento, como o Brasil, esse desperdício é maior ou mais concentrado na pré-colheita e colheita a monetização destas perdas, baseado na média de preço da soja na safra 2019/2020. Os resultados apontam para a necessidade de adoção de medidas preventivas, como a revisão das colheitadeiras antes da colheita, para mitigar o impacto negativo das perdas na produção de grãos de soja na Região Noroeste do Rio Grande do Sul.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaUFSM Palmeira das MissõesPrograma de Pós-Graduação em AgronegóciosUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessCommoditiesGlycine maxHarvesterProfitabilityPlatformRural producerTrail unitColheitadeiraRentabilidadePlataformaProdutor ruralUnidade de trilhaCNPQ::CIENCIAS AGRARIAS::AGRONOMIAEstimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missõesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisCosta, Nilson Luizhttp://lattes.cnpq.br/4436596248591572Velho, João PedroSantana, Antônio Cordeiro deRhoden, Anderson Claytonhttp://lattes.cnpq.br/9274091375215256Barbosa, Erlei José Alessio500100000009600600600600600600fcef137a-959e-4c1f-b546-cad9113bc10b87bc24a5-4375-4b69-aa29-7097908ee8bb86b554c0-d7d6-497b-b9cb-c22938ab5f1d11f6250f-f9aa-4e43-8ba2-b9bdd147fb01abe758da-fc0f-4a55-8915-d98cb12a2e4ereponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
title |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
spellingShingle |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões Barbosa, Erlei José Alessio Commodities Glycine max Harvester Profitability Platform Rural producer Trail unit Colheitadeira Rentabilidade Plataforma Produtor rural Unidade de trilha CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
title_full |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
title_fullStr |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
title_full_unstemmed |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
title_sort |
Estimativa das perdas físicas e econômicas na colheita da soja em propriedades da região de Palmeira das Missões |
author |
Barbosa, Erlei José Alessio |
author_facet |
Barbosa, Erlei José Alessio |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Costa, Nilson Luiz |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4436596248591572 |
dc.contributor.advisor-co1.fl_str_mv |
Velho, João Pedro |
dc.contributor.referee1.fl_str_mv |
Santana, Antônio Cordeiro de |
dc.contributor.referee2.fl_str_mv |
Rhoden, Anderson Clayton |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9274091375215256 |
dc.contributor.author.fl_str_mv |
Barbosa, Erlei José Alessio |
contributor_str_mv |
Costa, Nilson Luiz Velho, João Pedro Santana, Antônio Cordeiro de Rhoden, Anderson Clayton |
dc.subject.eng.fl_str_mv |
Commodities Glycine max Harvester Profitability Platform Rural producer Trail unit |
topic |
Commodities Glycine max Harvester Profitability Platform Rural producer Trail unit Colheitadeira Rentabilidade Plataforma Produtor rural Unidade de trilha CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.por.fl_str_mv |
Colheitadeira Rentabilidade Plataforma Produtor rural Unidade de trilha |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
description |
The objective of this research was to quantify the physical and economic losses in the pre-harvest and harvest of soybeans (Glycine max.) And the factors that may influence them. Data were analyzed according to the different models of harvesters, year of manufacture, platform size, trail systems, height of insertion of the first pod, cutting height, travel speed at harvest time, type of machine overhaul and factors linked to the operator such as age, education and participation in courses. A structured questionnaire was used to characterize the rural properties where the loss data were collected and the perception of the owners in relation to the losses in the soybean harvest and transport process. Data were collected in the months of March and April of the year 2015 and 2019, in the municipalities of Palmeira das Missões, São Pedro das Missões, Sagrada Família, Cerro Grande, Jaboticaba and Novo Tiradentes, all located in the Northwest Region of the state of Rio Grande do Sul. 215 samples were collected in the pre-harvest, 215 in the platform and 215 in the separation and cleaning trail system (STSL) in properties of 29 producers. In total, the losses of 72 self-propelled harvesters were evaluated, with a year of manufacture between 1986 and 2018. The losses were estimated using the grain weighing method and samples were collected from an area of 2m2, evaluating the losses in the pre-harvest , on the platform, STSL, on the machine and in total. Among the main results, it is noteworthy that the largest losses occurred on the platform and averaged 1.41 sc.ha-1, reflecting machine and total losses, 2.49 and 2.98 sc.ha-1, respectively . The factor year of manufacture, model (commercial brand), type of revision showed difference (P <0.05), while for the model (helical and draper) and platform size, track systems (conventional and axial), height of insertion of the first pod, cutting height, travel speed at harvest time and factors related to the operator, such as age, education, participation in courses, did not show statistical difference (P> 0.05) for harvest losses. Losses in the soybean harvest are above what is considered acceptable. The total average losses of the evaluated producers were 2.98 sc.ha-1, generating an economic loss of R $ 228.83 per ha-1. Regarding the position of the owners, the greatest losses occur due to the age of the harvester, cutting height (cm), the failure to use advanced precision technologies and the inadequate speed at harvest. Thus, considering food waste and that in developing countries, such as Brazil, this waste is greater or more concentrated in the pre-harvest and harvest the monetization of these losses, based on the average soybean price in the 2019/2020 harvest. The results point to the need to adopt preventive measures, such as the review of harvesters before harvesting, to mitigate the negative impact of losses on soybean grain production in the Northwest Region of Rio Grande do Sul. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020-12-28 |
dc.date.accessioned.fl_str_mv |
2021-06-22T11:40:54Z |
dc.date.available.fl_str_mv |
2021-06-22T11:40:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/21173 |
url |
http://repositorio.ufsm.br/handle/1/21173 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
500100000009 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 600 600 |
dc.relation.authority.fl_str_mv |
fcef137a-959e-4c1f-b546-cad9113bc10b 87bc24a5-4375-4b69-aa29-7097908ee8bb 86b554c0-d7d6-497b-b9cb-c22938ab5f1d 11f6250f-f9aa-4e43-8ba2-b9bdd147fb01 abe758da-fc0f-4a55-8915-d98cb12a2e4e |
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.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria UFSM Palmeira das Missões |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Agronegócios |
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 UFSM Palmeira das Missões |
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 |
bitstream.url.fl_str_mv |
http://repositorio.ufsm.br/bitstream/1/21173/2/license_rdf http://repositorio.ufsm.br/bitstream/1/21173/3/license.txt http://repositorio.ufsm.br/bitstream/1/21173/1/DIS_PPGAGRONEGOCIOS_2020_BARBOSA_ERLEI.pdf http://repositorio.ufsm.br/bitstream/1/21173/4/DIS_PPGAGRONEGOCIOS_2020_BARBOSA_ERLEI.pdf.txt http://repositorio.ufsm.br/bitstream/1/21173/5/DIS_PPGAGRONEGOCIOS_2020_BARBOSA_ERLEI.pdf.jpg |
bitstream.checksum.fl_str_mv |
4460e5956bc1d1639be9ae6146a50347 2f0571ecee68693bd5cd3f17c1e075df f9b646aa500084e0255ae74172665044 60d6fefb214e39a04553e373e4b50622 4f25bebcbe5bb9dd15e7a027ee2127da |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
|
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1801223980192890880 |