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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
31/03/2023 |
Data da última atualização: |
31/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ARAÚJO, F. H. V.; SILVA, A. F. da; RAMOS, R. S.; FERREIRA, S. R.; SANTOS, J. B. dos; SILVA, R. S. da; SHABANI, F. |
Afiliação: |
FAUSTO HENRIQUE VIEIRA ARAÚJO, Universidade Federal do Jequitinhonha e Vale do Mucuri; ALEXANDRE FERREIRA DA SILVA, CNPMS; RODRIGO SOARES RAMOS, Universidade Federal de Viçosa; SABRINA RODRIGUES FERREIRA, Universidade Federal do Jequitinhonha e Vale do Mucuri; JOSE BARBOSA DOS SANTOS, Universidade Federal do Jequitinhonha e Vale do Mucuri; RICARDO SIQUEIRA DA SILVA, Universidade Federal do Jequitinhonha e Vale do Mucuri; FARZIN SHABANI, Flinders University. |
Título: |
Modelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Crop Protection, v. 160, 106050, 2022. |
DOI: |
https://doi.org/10.1016/j.cropro.2022.106050 |
Idioma: |
Inglês |
Conteúdo: |
Striga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreement between CLIMEX and MaxEnt outputs. MenosStriga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreem... Mostrar Tudo |
Palavras-Chave: |
Adequação climática. |
Thesagro: |
Erva Daninha. |
Thesaurus Nal: |
Climate change; Invasive species; Weeds. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02328naa a2200265 a 4500 001 2152904 005 2023-03-31 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.cropro.2022.106050$2DOI 100 1 $aARAÚJO, F. H. V. 245 $aModelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops.$h[electronic resource] 260 $c2022 520 $aStriga asiatica (L.) Kuntze (Lamiales: Orobanchaceae), a hemi-parasitic plant native to sub-Saharan Africa and tropical Asia, is particularly problematic to rice, corn, and sorghum cultivation in Africa. Striga asiatica produces a large number of small sized (<0.5 mm) seeds, thereby facilitating easy dispersion by commercial exchange of contaminated grains. The distribution of this species in Africa is regulated by climate, which is the main factor determining local suitability. Modelling is a useful tool to analyse climate suitability for species. This study aimed to determine the areas more vulnerable to S. asiatica invasion both in the present and under the projected climate change model using two methods: MaxEnt (as a correlative approach) and CLIMEX (as a semi-mechanistic approach). The MIROC-H Global Climate Model and the A2 and RCP 8.5 scenarios (the most pessimistic one) were used. Our projections indicated areas suitable for S. asiatica invasion in all continents under both present and projected climate change, with high suitability areas in South America, Africa, and Europe. We found agreement and disagreement between CLIMEX and MaxEnt outputs and the extent of disagreement on the increases in climate suitability by 2050 and 2100 in North America, Europe, and eastern, southern, and western Australia. This study provides a useful tool to design strategies aimed at preventing the introduction and establishment of S. asiatica in South America, with considerable agreement between CLIMEX and MaxEnt outputs. 650 $aClimate change 650 $aInvasive species 650 $aWeeds 650 $aErva Daninha 653 $aAdequação climática 700 1 $aSILVA, A. F. da 700 1 $aRAMOS, R. S. 700 1 $aFERREIRA, S. R. 700 1 $aSANTOS, J. B. dos 700 1 $aSILVA, R. S. da 700 1 $aSHABANI, F. 773 $tCrop Protection$gv. 160, 106050, 2022.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo; Embrapa Pesca e Aquicultura; Embrapa Soja. |
Data corrente: |
14/05/2019 |
Data da última atualização: |
14/02/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FARIA, I. K. P. de; VIEIRA, J. L. V.; TENELLI, S.; ALMEIDA, R. E. M. de; CAMPOS, L. J. M.; COSTA, R. V. da; ZAVASCHI, E.; ALMEIDA, R. F. de; CARNEIRO, L. de M. e S.; OTTO, R. |
Afiliação: |
ITALO KAYE PINTO DE FARIA, ESALQ; JOSE LUIS VILELA VIEIRA, ESALQ; SARAH TENELLI, ESALQ; RODRIGO ESTEVAM MUNHOZ DE ALMEIDA, CNPASA; LEONARDO JOSE MOTTA CAMPOS, CNPSO; RODRIGO VERAS DA COSTA, CNPMS; EDUARDO ZAVASCHI, ESALQ; RISELY FERRAZ DE ALMEIDA, ESALQ; LEANDRO DE MELLO E SILVA CARNEIRO, UNIVERSIDADE FEDERAL DE UBERLÂNDIA; RAFAEL OTTO, ESALQ. |
Título: |
Optimal plant density and nitrogen rates for improving off-season corn yields in Brazil. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Scientia Agricola, v. 76, n. 4, p. 344-352, jul./ago. 2019. |
ISSN: |
1678-992X |
DOI: |
10.1590/1678-992X-2017-0295 |
Idioma: |
Inglês |
Conteúdo: |
Integrating plant density and nitrogen (N) management is a strategy for improving corn yields, especially for off-season corn production in the tropics. This study tested the hypothesis that increasing plant densities and N rates promotes yield gains for off-season corn production in high-yielding environments. The aim of the study was to investigate the yield performances of two hybrid versions (DKB PRO and DKB PRO3) submitted to three plant densities (55,000; 65,000 and 75,000 plants ha−1) and four N rates (control, 60, 120 and 180 kg ha−1 N). Field trials were undertaken at Uberlândia-MG (site1 and 2) and Pedro Afonso-TO (site 3), Brazil from which data on corn yield parameters were collected and analyzed. Multivariate analysis separated the three trial areas into two groups, presenting high (sites 1 and 2) and low yields (site 3), which were related to weather conditions. There was no influence of a hybrid version or plant densities on crop yields at site 1 or 2. In contrast, there was a positive response to increasing plant densities and the use of DKB PRO3 at site 3. A significant response to N was observed at sites 2 and 3, following a plateau model. Our results suggest that N application rates and plant densities do have the potential to increase off-season corn yields in low yielding environments. |
Thesagro: |
Densidade de Plantio; Milho; Milho Hibrido; População de Planta; Zea Mays. |
Thesaurus NAL: |
Corn; Hybrids; Population density. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/197326/1/CNPASA-2019-sa.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/197976/1/Faria-Optimal.pdf
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Marc: |
LEADER 02337naa a2200349 a 4500 001 2109019 005 2020-02-14 008 2019 bl uuuu u00u1 u #d 022 $a1678-992X 024 7 $a10.1590/1678-992X-2017-0295$2DOI 100 1 $aFARIA, I. K. P. de 245 $aOptimal plant density and nitrogen rates for improving off-season corn yields in Brazil.$h[electronic resource] 260 $c2019 520 $aIntegrating plant density and nitrogen (N) management is a strategy for improving corn yields, especially for off-season corn production in the tropics. This study tested the hypothesis that increasing plant densities and N rates promotes yield gains for off-season corn production in high-yielding environments. The aim of the study was to investigate the yield performances of two hybrid versions (DKB PRO and DKB PRO3) submitted to three plant densities (55,000; 65,000 and 75,000 plants ha−1) and four N rates (control, 60, 120 and 180 kg ha−1 N). Field trials were undertaken at Uberlândia-MG (site1 and 2) and Pedro Afonso-TO (site 3), Brazil from which data on corn yield parameters were collected and analyzed. Multivariate analysis separated the three trial areas into two groups, presenting high (sites 1 and 2) and low yields (site 3), which were related to weather conditions. There was no influence of a hybrid version or plant densities on crop yields at site 1 or 2. In contrast, there was a positive response to increasing plant densities and the use of DKB PRO3 at site 3. A significant response to N was observed at sites 2 and 3, following a plateau model. Our results suggest that N application rates and plant densities do have the potential to increase off-season corn yields in low yielding environments. 650 $aCorn 650 $aHybrids 650 $aPopulation density 650 $aDensidade de Plantio 650 $aMilho 650 $aMilho Hibrido 650 $aPopulação de Planta 650 $aZea Mays 700 1 $aVIEIRA, J. L. V. 700 1 $aTENELLI, S. 700 1 $aALMEIDA, R. E. M. de 700 1 $aCAMPOS, L. J. M. 700 1 $aCOSTA, R. V. da 700 1 $aZAVASCHI, E. 700 1 $aALMEIDA, R. F. de 700 1 $aCARNEIRO, L. de M. e S. 700 1 $aOTTO, R. 773 $tScientia Agricola$gv. 76, n. 4, p. 344-352, jul./ago. 2019.
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