Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/23559 |
Resumo: | With the increase in the world population, expected to occur by the end of the century, there is a need to boost food production. The sustainable alternative to achieve higher production is to improve yield of agricultural crops, among which cassava has a fundamental role. Knowledge of potential yield and yield gap, as well the biophysical and management factors in each agricultural system, is critical to obtain success in this challenge. The aim of this work is to estimate the potential yield and yield gap for cassava crop in a subtropical environment by identifying and quantifying the main biotic and management factors that limit or reduce crop yield. For the estimation of the potential yield, 9 buffer zones (climatic regions) were created, taken in consideration a coverage area greater than 5% of the cassava production, and the meteorological data were obtain from INMET stations. The yield potential and the water-limited yield potential were estimated using the Simanihot model, and the yield gaps were calculated from the average yield of 15 years of IBGE data, and the average yield of farmers in the Central Region (106 surveys). A regression tree was created in order to identifying the factors responsible for the yied gaps. In view of the current yield levels in the state of Rio Grande do Sul, this study allowed a better understanding of the factors that contribute to the reduction of cassava yield. The yield potential ranged from 51.9 to 61.7 ton.ha- 1 between the regions of Rio Grande do Sul, where the mean obtain for the state was 56.2 and 54.9 ton.ha- for yield potential and water-limited yield potential, respectively. The yield gap varied from 66 to 78% of the PP, where the contribution of water-limited gap (% LPPA) was 1.3 ton.ha-1 (3%) and the contribution caused by the gap of management (% LPM) was 39.8 ton.ha-1 (97%). The Central Region of RS showed the smallest management gap, where plant density can be the main factor causing this gap. Others factors such as planting date and weed control number, also can be added to plant density as factors that drive the management gap. |
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2022-01-17T19:26:10Z2022-01-17T19:26:10Z2020-02-07http://repositorio.ufsm.br/handle/1/23559With the increase in the world population, expected to occur by the end of the century, there is a need to boost food production. The sustainable alternative to achieve higher production is to improve yield of agricultural crops, among which cassava has a fundamental role. Knowledge of potential yield and yield gap, as well the biophysical and management factors in each agricultural system, is critical to obtain success in this challenge. The aim of this work is to estimate the potential yield and yield gap for cassava crop in a subtropical environment by identifying and quantifying the main biotic and management factors that limit or reduce crop yield. For the estimation of the potential yield, 9 buffer zones (climatic regions) were created, taken in consideration a coverage area greater than 5% of the cassava production, and the meteorological data were obtain from INMET stations. The yield potential and the water-limited yield potential were estimated using the Simanihot model, and the yield gaps were calculated from the average yield of 15 years of IBGE data, and the average yield of farmers in the Central Region (106 surveys). A regression tree was created in order to identifying the factors responsible for the yied gaps. In view of the current yield levels in the state of Rio Grande do Sul, this study allowed a better understanding of the factors that contribute to the reduction of cassava yield. The yield potential ranged from 51.9 to 61.7 ton.ha- 1 between the regions of Rio Grande do Sul, where the mean obtain for the state was 56.2 and 54.9 ton.ha- for yield potential and water-limited yield potential, respectively. The yield gap varied from 66 to 78% of the PP, where the contribution of water-limited gap (% LPPA) was 1.3 ton.ha-1 (3%) and the contribution caused by the gap of management (% LPM) was 39.8 ton.ha-1 (97%). The Central Region of RS showed the smallest management gap, where plant density can be the main factor causing this gap. Others factors such as planting date and weed control number, also can be added to plant density as factors that drive the management gap.Com o aumento substancial da população mundial, previsto para ocorrer até o final do século, surge a necessidade de aumentar a produção de alimentos. A principal alternativa para aumentar a produção, é aumentar a produtividade das culturas agrícolas, dentre as quais a mandioca tem papel fundamental. Para aumentar a produtividade, é necessário conhecer a produtividade potencial e as lacunas de produtividade das lavouras de mandioca em cada sistema de produção, bem como os fatores biofísicos e de manejo que os limitam. O objetivo com deste trabalho é estimar o potencial e as lacunas de produtividade para a cultura da mandioca em ambiente subtropical, identificando e quantificando os principais fatores bióticos e de manejo que limitam ou reduzem a produtividade. Para a estimativa do potencial de produtividade foram selecionadas as regiões climáticas com abrangência maior de 5% da área produtiva de mandioca, com as estações meteorológicas do INMET foram criadas 9 buffers zones. O potencial de produtividade e o potencial de produtividade limitado por água foram estimado com o modelo Simanihot, e as lacunas de produtividade foram criadas a partir das produtividades médias de 15 anos do IBGE e das produtividades médias dos produtores da região central (106 questionários). Para identificar os fatores responsáveis pelas lacunas de produtividade foi criada uma árvore de regressão. Frente aos atuais índices de produtividade do estado do Rio Grande do Sul este estudo permitiu melhor compreensão os fatores que contribuem para a redução da produtividade de mandioca. O potencial de produtividade variou de 51,9 a 61,7 ton.ha-1 entre as regiões do Rio Grande do Sul, o potencial de produtividade médio para o estado foi 56,2 ton.ha-1 e o potencial de produtividade limitado por água médio, 54,9 ton.ha-1. A lacuna de produtividade potencial variou de 66 a 78% do PP, onde a contribuição da lacuna de produtividade potencial de água (%LPPA) foi 1,3 ton.ha-1 (3%) e a contribuição causada pela lacuna de produtividade de manejo (%LPM) foi de 39,8 ton.ha-1 (97%). A região central do RS apresentou a menor lacuna de produtividade de manejo, sendo a densidade de plantas o principal fator causador da lacuna, somado a época de plantio e número de controle de plantas daninhas.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade 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/openAccessManihot esculenta CrantzPotencial de produtividadeSimanihotLacuna de produtividadeYield potentialWater-limited potentialCNPQ::CIENCIAS AGRARIAS::AGRONOMIAPotencial e lacunas de produtividade na cultura da mandioca em ambiente subtropicalYield gap of cassava crop in subtropical environmentinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisStreck, Nereu Augustohttp://lattes.cnpq.br/8121082379157248Zanon, Alencar JuniorTironi, Luana Fernandeshttp://lattes.cnpq.br/1597791305081952Freitas, Charles Patrick de Oliveira de5001000000096006006003b01ed40-f2a9-4cc8-9109-59e6f482b05dd6c91c8d-9f76-4a07-89f0-6e4acf4aaf687c7b164e-daea-46ed-90e4-44bf948e81886e3f46cc-ab7b-40f8-807e-fb3abab76b5areponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGAGRONOMIA_2020_FREITAS_CHARLES.pdfDIS_PPGAGRONOMIA_2020_FREITAS_CHARLES.pdfDissertação de Mestradoapplication/pdf1725232http://repositorio.ufsm.br/bitstream/1/23559/1/DIS_PPGAGRONOMIA_2020_FREITAS_CHARLES.pdf10b7114305204eb1e7e12a1a22114e44MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.ufsm.br/bitstream/1/23559/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/23559/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD531/235592022-01-17 16:27:24.468oai: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:2022-01-17T19:27:24Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
dc.title.alternative.eng.fl_str_mv |
Yield gap of cassava crop in subtropical environment |
title |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
spellingShingle |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical Freitas, Charles Patrick de Oliveira de Manihot esculenta Crantz Potencial de produtividade Simanihot Lacuna de produtividade Yield potential Water-limited potential CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
title_full |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
title_fullStr |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
title_full_unstemmed |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
title_sort |
Potencial e lacunas de produtividade na cultura da mandioca em ambiente subtropical |
author |
Freitas, Charles Patrick de Oliveira de |
author_facet |
Freitas, Charles Patrick de Oliveira de |
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 |
Zanon, Alencar Junior |
dc.contributor.referee2.fl_str_mv |
Tironi, Luana Fernandes |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1597791305081952 |
dc.contributor.author.fl_str_mv |
Freitas, Charles Patrick de Oliveira de |
contributor_str_mv |
Streck, Nereu Augusto Zanon, Alencar Junior Tironi, Luana Fernandes |
dc.subject.por.fl_str_mv |
Manihot esculenta Crantz Potencial de produtividade Simanihot Lacuna de produtividade |
topic |
Manihot esculenta Crantz Potencial de produtividade Simanihot Lacuna de produtividade Yield potential Water-limited potential CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Yield potential Water-limited potential |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
description |
With the increase in the world population, expected to occur by the end of the century, there is a need to boost food production. The sustainable alternative to achieve higher production is to improve yield of agricultural crops, among which cassava has a fundamental role. Knowledge of potential yield and yield gap, as well the biophysical and management factors in each agricultural system, is critical to obtain success in this challenge. The aim of this work is to estimate the potential yield and yield gap for cassava crop in a subtropical environment by identifying and quantifying the main biotic and management factors that limit or reduce crop yield. For the estimation of the potential yield, 9 buffer zones (climatic regions) were created, taken in consideration a coverage area greater than 5% of the cassava production, and the meteorological data were obtain from INMET stations. The yield potential and the water-limited yield potential were estimated using the Simanihot model, and the yield gaps were calculated from the average yield of 15 years of IBGE data, and the average yield of farmers in the Central Region (106 surveys). A regression tree was created in order to identifying the factors responsible for the yied gaps. In view of the current yield levels in the state of Rio Grande do Sul, this study allowed a better understanding of the factors that contribute to the reduction of cassava yield. The yield potential ranged from 51.9 to 61.7 ton.ha- 1 between the regions of Rio Grande do Sul, where the mean obtain for the state was 56.2 and 54.9 ton.ha- for yield potential and water-limited yield potential, respectively. The yield gap varied from 66 to 78% of the PP, where the contribution of water-limited gap (% LPPA) was 1.3 ton.ha-1 (3%) and the contribution caused by the gap of management (% LPM) was 39.8 ton.ha-1 (97%). The Central Region of RS showed the smallest management gap, where plant density can be the main factor causing this gap. Others factors such as planting date and weed control number, also can be added to plant density as factors that drive the management gap. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020-02-07 |
dc.date.accessioned.fl_str_mv |
2022-01-17T19:26:10Z |
dc.date.available.fl_str_mv |
2022-01-17T19:26:10Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/23559 |
url |
http://repositorio.ufsm.br/handle/1/23559 |
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 |
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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 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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