Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”

Detalhes bibliográficos
Autor(a) principal: Richter, Gean Leonardo
Data de Publicação: 2021
Tipo de documento: Tese
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/23380
Resumo: In 2050 the world population will reach close to 10 billion inhabitants. And Brazil is of great importance due to the production of food, especially with the soybean, where it is the largest producer in the world. And for that, the yield potential is used to make decisions about agricultural policies, due to the growing demand for food and energy in many countries. The objective was to estimate the yield potential and gap in soybean in Brazil. And define the loss of yield due to the delay in the sowing date for all of Brazil. Selection of data sources and quality control are based on guidelines provided in the Global Yield Gap Atlas protocols, using calibrated models and the best available data on harvested soybean area, meteorological data, actual farmer yields and a spatial framework for the specific locations (regional and national levels). We conclude that the yield potential ranges from 5.7 to 7.5 Mg ha-¹, and the average is 6.7 Mg ha−¹. The water limited yield potential ranges from 3.1 to 6.9 Mg ha-¹ and the average is 5.5 Mg ha−¹ and the actual yield is 3.0 Mg ha−¹ for Brazil. The yield gap ranges from 2.7 to 4.6 Mg ha-¹, and the average is 3.7 Mg ha-¹. Dividing the yield gap into management gap and water gap we obtain values of 2.5 Mg ha-¹ and 1.2 Mg ha-¹, respectively, for all of Brazil. Finally, in the 5 soybean macroregions it is possible to identify the yield lost with the delay in the sowing date for all of Brazil.
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spelling 2021-12-20T17:32:41Z2021-12-20T17:32:41Z2021-08-30http://repositorio.ufsm.br/handle/1/23380In 2050 the world population will reach close to 10 billion inhabitants. And Brazil is of great importance due to the production of food, especially with the soybean, where it is the largest producer in the world. And for that, the yield potential is used to make decisions about agricultural policies, due to the growing demand for food and energy in many countries. The objective was to estimate the yield potential and gap in soybean in Brazil. And define the loss of yield due to the delay in the sowing date for all of Brazil. Selection of data sources and quality control are based on guidelines provided in the Global Yield Gap Atlas protocols, using calibrated models and the best available data on harvested soybean area, meteorological data, actual farmer yields and a spatial framework for the specific locations (regional and national levels). We conclude that the yield potential ranges from 5.7 to 7.5 Mg ha-¹, and the average is 6.7 Mg ha−¹. The water limited yield potential ranges from 3.1 to 6.9 Mg ha-¹ and the average is 5.5 Mg ha−¹ and the actual yield is 3.0 Mg ha−¹ for Brazil. The yield gap ranges from 2.7 to 4.6 Mg ha-¹, and the average is 3.7 Mg ha-¹. Dividing the yield gap into management gap and water gap we obtain values of 2.5 Mg ha-¹ and 1.2 Mg ha-¹, respectively, for all of Brazil. Finally, in the 5 soybean macroregions it is possible to identify the yield lost with the delay in the sowing date for all of Brazil.Em 2050 a população mundial vai chegar próximo a 10 bilhões de habitantes. E o Brasil tem grande importância devido à produção de alimentos, principalmente com a cultura da soja, onde se encontra como o maior produtor mundial. E para isso, o potencial de produtividade é utilizado para tomada de decisões sobre políticas agrícolas, devido à crescente demanda de alimentos e de energia em muitos países. O objetivo foi de estimar o potencial e a lacuna de produtividade em soja no Brasil. E definir a perda de produtividade pelo atraso da época de semeadura para todo o Brasil. A seleção de fontes de dados e o controle de qualidade são baseados nas diretrizes fornecidas nos protocolos Global Yield Gap Atlas, utilizando modelos calibrados e os melhores dados disponíveis de área de soja colhida, dados meteorológicos, produtividades reais dos agricultores e uma estrutura espacial para os locais específicos (níveis regional e nacional). Concluímos que o Potencial de Produtividade varia de 5,7 a 7,5 Mg ha-¹, e a média é de 6,7 Mg ha−¹. O Potencial de Produtividade limitado por Água varia de 3,1 a 6,9 Mgha-¹ e a média é de 5,5 Mg ha−¹ e a produtividade atual está em 3,0 Mg ha−¹ para o Brasil. A Lacuna de produtividade (LP) varia de 2,7 a 4,6 Mg ha-¹, e a média é de 3,7 Mg ha-¹. Dividindo a LP em Lacuna de Manejo (LM) e Lacuna de Água (LA) obtemos valores de 2,5 Mg ha-¹ e de 1,2 Mg ha-¹ ,respectivamente, para todo o Brasil. Por fim, nas 5 macrorregiões sojícolas é possível identificar a perda de produtividade com o atraso na época de semeadura para todo o Brasil.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESFundação de Amparo à Pesquisa do Estado do Rio Grande do Sul - FAPERGSFundação de Amparo à Pesquisa do Estado de São Paulo - FAPESPporUniversidade 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/openAccessGlicine maxMacrorregiões sojícolasÉpoca de semeaduraAumento populacionalSustentabilidadeSoybean macroregionsSowing datePopulation increaseSustainabilityCNPQ::CIENCIAS AGRARIAS::AGRONOMIAPotencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”Soybean yield potential and gaps in Brazil: an analysis by the methodology of the “Global Yield Gap Atlas”info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisStreck, Nereu Augustohttp://lattes.cnpq.br/8121082379157248Zanon, Alencar JuniorMedeiros, Sandro Luis PetterAlberto, Cleber MausFoloni, José Salvador Simonetihttp://lattes.cnpq.br/9736928933056158Richter, Gean Leonardo5001000000096006006006006006006003b01ed40-f2a9-4cc8-9109-59e6f482b05db55f93c1-1f74-4e3e-8e12-497141d1b16f7c7b164e-daea-46ed-90e4-44bf948e81884b569ec4-ef48-442a-84ee-9056d96aeff4f7202535-8406-401c-bf84-21fe8b3bd2531bb903df-fd87-447f-b66e-b0e97b52487areponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMLICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
dc.title.alternative.eng.fl_str_mv Soybean yield potential and gaps in Brazil: an analysis by the methodology of the “Global Yield Gap Atlas”
title Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
spellingShingle Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
Richter, Gean Leonardo
Glicine max
Macrorregiões sojícolas
Época de semeadura
Aumento populacional
Sustentabilidade
Soybean macroregions
Sowing date
Population increase
Sustainability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
title_full Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
title_fullStr Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
title_full_unstemmed Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
title_sort Potencial e lacunas de produtividade em soja no Brasil: uma análise pela metodologia do “Global Yield Gap Atlas”
author Richter, Gean Leonardo
author_facet Richter, Gean Leonardo
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 Medeiros, Sandro Luis Petter
dc.contributor.referee3.fl_str_mv Alberto, Cleber Maus
dc.contributor.referee4.fl_str_mv Foloni, José Salvador Simoneti
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9736928933056158
dc.contributor.author.fl_str_mv Richter, Gean Leonardo
contributor_str_mv Streck, Nereu Augusto
Zanon, Alencar Junior
Medeiros, Sandro Luis Petter
Alberto, Cleber Maus
Foloni, José Salvador Simoneti
dc.subject.por.fl_str_mv Glicine max
Macrorregiões sojícolas
Época de semeadura
Aumento populacional
Sustentabilidade
topic Glicine max
Macrorregiões sojícolas
Época de semeadura
Aumento populacional
Sustentabilidade
Soybean macroregions
Sowing date
Population increase
Sustainability
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Soybean macroregions
Sowing date
Population increase
Sustainability
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description In 2050 the world population will reach close to 10 billion inhabitants. And Brazil is of great importance due to the production of food, especially with the soybean, where it is the largest producer in the world. And for that, the yield potential is used to make decisions about agricultural policies, due to the growing demand for food and energy in many countries. The objective was to estimate the yield potential and gap in soybean in Brazil. And define the loss of yield due to the delay in the sowing date for all of Brazil. Selection of data sources and quality control are based on guidelines provided in the Global Yield Gap Atlas protocols, using calibrated models and the best available data on harvested soybean area, meteorological data, actual farmer yields and a spatial framework for the specific locations (regional and national levels). We conclude that the yield potential ranges from 5.7 to 7.5 Mg ha-¹, and the average is 6.7 Mg ha−¹. The water limited yield potential ranges from 3.1 to 6.9 Mg ha-¹ and the average is 5.5 Mg ha−¹ and the actual yield is 3.0 Mg ha−¹ for Brazil. The yield gap ranges from 2.7 to 4.6 Mg ha-¹, and the average is 3.7 Mg ha-¹. Dividing the yield gap into management gap and water gap we obtain values of 2.5 Mg ha-¹ and 1.2 Mg ha-¹, respectively, for all of Brazil. Finally, in the 5 soybean macroregions it is possible to identify the yield lost with the delay in the sowing date for all of Brazil.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-12-20T17:32:41Z
dc.date.available.fl_str_mv 2021-12-20T17:32:41Z
dc.date.issued.fl_str_mv 2021-08-30
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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
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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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