Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil
The objective of this study was to model the spatio-temporal distribution of <i>Digitaria insularis</i> (<i>D. insularis</i>) and analyze the risk of selection of glyphosate-resistant biotypes in eucalyptus cultivation in Brazil. Global data on the distribution of the specie...
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doaj-ffb3cf155d4c46b0888075a779addb842021-09-26T01:29:49ZengMDPI AGSustainability2071-10502021-09-0113104051040510.3390/su131810405Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in BrazilGabriela Madureira Barroso0Ricardo Siqueira da Silva1Danielle Piuzana Mucida2Cláudia Eduarda Borges3Sabrina Rodrigues Ferreira4José Carlos Barbosa dos Santos5Hamurábi Anizio Lins6Vander Mendonça7Daniel Valadão Silva8José Barbosa dos Santos9Department of Forestry, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomy, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Forestry, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomy, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomy, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomy, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomic and Forestry Sciences, Universidade Federal Rural do Semi-Árido, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomic and Forestry Sciences, Universidade Federal Rural do Semi-Árido, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomic and Forestry Sciences, Universidade Federal Rural do Semi-Árido, Diamantina 391000-000, Minas Gerais, BrazilDepartment of Agronomy, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Diamantina 391000-000, Minas Gerais, BrazilThe objective of this study was to model the spatio-temporal distribution of <i>Digitaria insularis</i> (<i>D. insularis</i>) and analyze the risk of selection of glyphosate-resistant biotypes in eucalyptus cultivation in Brazil. Global data on the distribution of the specie were collected and associated with their ideal growth characteristics. The models were generated using Climex software, providing a predictive modeling technique. Biological data, species distribution, and climatic parameters were used to predict and map potential areas for the species of interest through the combination of growth and stress indices, giving rise to the Ecoclimatic Index (EI). The spatial distribution of <i>D. insularis</i> is predominantly in South and Central America and southern North America. The model had a good fit with the collected data and predicted higher EI values for tropical and subtropical regions, as was the case in Brazil. Species growth can occur throughout the year, with lower rates in winter, mainly in the country’s southern regions. Brazil has high climatic suitability for the occurrence of <i>Digitaria insularis</i>. Due to the climate suitability evidenced by the models and the expressive use of the same active ingredient, there is a risk of selecting glyphosate-resistant <i>Digitaria insularis</i> biotypes in eucalyptus cultivation areas.https://www.mdpi.com/2071-1050/13/18/10405Climexherbicidesmodelingplant healthweedresistance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabriela Madureira Barroso Ricardo Siqueira da Silva Danielle Piuzana Mucida Cláudia Eduarda Borges Sabrina Rodrigues Ferreira José Carlos Barbosa dos Santos Hamurábi Anizio Lins Vander Mendonça Daniel Valadão Silva José Barbosa dos Santos |
spellingShingle |
Gabriela Madureira Barroso Ricardo Siqueira da Silva Danielle Piuzana Mucida Cláudia Eduarda Borges Sabrina Rodrigues Ferreira José Carlos Barbosa dos Santos Hamurábi Anizio Lins Vander Mendonça Daniel Valadão Silva José Barbosa dos Santos Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil Sustainability Climex herbicides modeling plant health weed resistance |
author_facet |
Gabriela Madureira Barroso Ricardo Siqueira da Silva Danielle Piuzana Mucida Cláudia Eduarda Borges Sabrina Rodrigues Ferreira José Carlos Barbosa dos Santos Hamurábi Anizio Lins Vander Mendonça Daniel Valadão Silva José Barbosa dos Santos |
author_sort |
Gabriela Madureira Barroso |
title |
Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil |
title_short |
Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil |
title_full |
Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil |
title_fullStr |
Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil |
title_full_unstemmed |
Spatio-Temporal Distribution of <i>Digitaria insularis</i>: Risk Analysis of Areas with Potential for Selection of Glyphosate-Resistant Biotypes in Eucalyptus Crops in Brazil |
title_sort |
spatio-temporal distribution of <i>digitaria insularis</i>: risk analysis of areas with potential for selection of glyphosate-resistant biotypes in eucalyptus crops in brazil |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-09-01 |
description |
The objective of this study was to model the spatio-temporal distribution of <i>Digitaria insularis</i> (<i>D. insularis</i>) and analyze the risk of selection of glyphosate-resistant biotypes in eucalyptus cultivation in Brazil. Global data on the distribution of the specie were collected and associated with their ideal growth characteristics. The models were generated using Climex software, providing a predictive modeling technique. Biological data, species distribution, and climatic parameters were used to predict and map potential areas for the species of interest through the combination of growth and stress indices, giving rise to the Ecoclimatic Index (EI). The spatial distribution of <i>D. insularis</i> is predominantly in South and Central America and southern North America. The model had a good fit with the collected data and predicted higher EI values for tropical and subtropical regions, as was the case in Brazil. Species growth can occur throughout the year, with lower rates in winter, mainly in the country’s southern regions. Brazil has high climatic suitability for the occurrence of <i>Digitaria insularis</i>. Due to the climate suitability evidenced by the models and the expressive use of the same active ingredient, there is a risk of selecting glyphosate-resistant <i>Digitaria insularis</i> biotypes in eucalyptus cultivation areas. |
topic |
Climex herbicides modeling plant health weed resistance |
url |
https://www.mdpi.com/2071-1050/13/18/10405 |
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