Análise de variáveis de produção do milho no município de Boa Vista/PB

This study analyzes the dynamics of corn production in the municipality of Boa Vista – PB between 2004 and 2023, based on data from the Municipal Agricultural Production (IBGE). Five variables were evaluated: planted area, harvested area, volume produced, average yield, and production value. The data were organized into graphs and subjected to Principal Component Analysis (ACP) using the R software. The results showed high interannual variability in all variables, without a defined linear trend of growth or reduction. A recurring discrepancy was observed between planted area and harvested area, in addition to the occurrence of years with total crop failure, strongly influenced by the rainfall irregularity typical of the semi-arid Northeast region. Production and economic value showed punctual peaks, especially in 2008 and 2022, but maintained unstable behavior throughout the historical series. ACP explained 89.4% of the total variance in the first two components, revealing a strong association between average yield, quantity produced, and value of production, while area expansion did not always result in higher productivity. It is concluded that corn production in Boa Vista is extensive, highly vulnerable to climate change, and faces technological limitations, reinforcing the need for adaptive strategies to increase regional resilience.

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Publication Details

Journal
Brazilian Journal of Production Engineering
Published
2026-11-09
DOI
https://doi.org/10.47456/bjpe.v12i4.51831
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Análise de variáveis de produção do milho no município de Boa Vista/PB

Catarina Araújo De Souza, Ana Caroline da Silva Soares, Luiz Henrique Guedes Sousa, Wellerson Leite de Andrade et al.
Brazilian Journal of Production Engineering
Climate change impacts on agriculture
article

Análise de variáveis de produção do milho no município de Boa Vista/PB

Catarina Araújo De Souza, Ana Caroline da Silva Soares, Luiz Henrique Guedes Sousa, Wellerson Leite de Andrade, Mairla Maria Alves De Souza, Luís Karlos Pereira da Silva, Josias Pereira de Melo, Francisco de Assys Romero da Mota Sousa, Khyson Gomes Abreu, Vinícius de Souza Teixeira, Anddreza Maddalena, Raíres Liliane de Oliveira CRUZ, Thuane Barbosa Medeiros Franco, Ana Paula de Souza Ferreira, Afonso Barbosa Júnior, Olga Gonçalves Rodrigues, Rodolfo Batista Lima, Everton Leite dos Santos, Felipe Chaves de Almeida, Alex André Batista Pimentel, Flávio Gomes de Pontes, João Paulo Borges de Queiroz, Kaio Henrique Costa Ferreira, Helder Francisco Santana Nobrega, Franklin Pereira Bernardo Neto
article en

Abstract

This study analyzes the dynamics of corn production in the municipality of Boa Vista – PB between 2004 and 2023, based on data from the Municipal Agricultural Production (IBGE). Five variables were evaluated: planted area, harvested area, volume produced, average yield, and production value. The data were organized into graphs and subjected to Principal Component Analysis (ACP) using the R software. The results showed high interannual variability in all variables, without a defined linear trend of growth or reduction. A recurring discrepancy was observed between planted area and harvested area, in addition to the occurrence of years with total crop failure, strongly influenced by the rainfall irregularity typical of the semi-arid Northeast region. Production and economic value showed punctual peaks, especially in 2008 and 2022, but maintained unstable behavior throughout the historical series. ACP explained 89.4% of the total variance in the first two components, revealing a strong association between average yield, quantity produced, and value of production, while area expansion did not always result in higher productivity. It is concluded that corn production in Boa Vista is extensive, highly vulnerable to climate change, and faces technological limitations, reinforcing the need for adaptive strategies to increase regional resilience.

Brazilian Journal of Production EngineeringVol. 12(4)
Universidade Estadual da Paraíba (BR), Universidade Federal da Paraíba (BR), Universidade Federal de Campina Grande (BR), Centro Universitário Maurício de Nassau (BR)
Climate change impacts on agriculture
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