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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
06/09/2019 |
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Data da última atualização: |
23/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; MENESES, K. C. de; VALERIANO, T. T. B. |
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Afiliação: |
Lucas Eduardo de Oliveira Aparecido, IFMS; José Reinaldo da Silva Cabral de Moraes, UNESP; Glauco de Souza Rolim, UNESP; LUCIETA GUERREIRO MARTORANO, CPATU; Kamila Cunha de Meneses, UNESP; Taynara Tuany Borges Valeriano, UNESP. |
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Título: |
Neural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Archives of Agronomy and Soil Science, v. 65, n. 11, p. 1477-1492, 2019. |
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DOI: |
10.1080/03650340.2019.1566715 |
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Idioma: |
Inglês |
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Conteúdo: |
Sunflower is a species that is sensitive to local climate conditions. However, studies that use artificial neural networks (ANNs) to evaluate this influence and create tools such as agricultural zoning of climate risk (ZARC) have not been conducted for this species. Due to the importance of sunflower as a human food source and for biodiesel production, and also the necessity of conducting research to evaluate the suitability of this oleaginous species under different climatic conditions. Thus, we seek to construct a ZARC for sunflower in Brazil simulating sowing on different dates and using meteorological elements spatialized by ANNs. Climate data were used: air temperature (T), rainfall (P), relative air humidity (UR), solar radiation (MJ_m−2_d−1) and wind velocity (U2). Climatic regions considered suitable for the cultivation of sunflower had average annual values for T between 20 and 28°C, P between 500 and 1.500 mm per cycle, and soil water deficit (DEF) below 140 mm per cycle. A neural network is an efficient tool that can be used in spatialization of climate variables quickly and accurately. Sunflower sowing in the spring and summer are the ones that provide the largest suitable areas in southeastern Brazil, with 58.13 and 64.36% of suitable areas, respectively |
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Thesagro: |
Clima; Girassol; Zoneamento Agrícola. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02087naa a2200229 a 4500
001 2112016
005 2020-01-23
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1080/03650340.2019.1566715$2DOI
100 1 $aAPARECIDO, L. E. de O.
245 $aNeural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates.$h[electronic resource]
260 $c2019
520 $aSunflower is a species that is sensitive to local climate conditions. However, studies that use artificial neural networks (ANNs) to evaluate this influence and create tools such as agricultural zoning of climate risk (ZARC) have not been conducted for this species. Due to the importance of sunflower as a human food source and for biodiesel production, and also the necessity of conducting research to evaluate the suitability of this oleaginous species under different climatic conditions. Thus, we seek to construct a ZARC for sunflower in Brazil simulating sowing on different dates and using meteorological elements spatialized by ANNs. Climate data were used: air temperature (T), rainfall (P), relative air humidity (UR), solar radiation (MJ_m−2_d−1) and wind velocity (U2). Climatic regions considered suitable for the cultivation of sunflower had average annual values for T between 20 and 28°C, P between 500 and 1.500 mm per cycle, and soil water deficit (DEF) below 140 mm per cycle. A neural network is an efficient tool that can be used in spatialization of climate variables quickly and accurately. Sunflower sowing in the spring and summer are the ones that provide the largest suitable areas in southeastern Brazil, with 58.13 and 64.36% of suitable areas, respectively
650 $aClima
650 $aGirassol
650 $aZoneamento Agrícola
700 1 $aMORAES, J. R. da S. C. de
700 1 $aROLIM, G. de S.
700 1 $aMARTORANO, L. G.
700 1 $aMENESES, K. C. de
700 1 $aVALERIANO, T. T. B.
773 $tArchives of Agronomy and Soil Science$gv. 65, n. 11, p. 1477-1492, 2019.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
15/03/2021 |
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Data da última atualização: |
15/03/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
GODDARD, R.; STEED, A.; SCHEEREN, P. L.; MACIEL, J. L. N.; CAIERAO, E.; TORRES, G. A. M.; CONSOLI, L.; SANTANA, F. M.; FERNANDES, J. M. C.; SIMOONDS, J.; UAUY, C.; COCKRAM, J.; NICHOLSON, P. |
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Afiliação: |
RACHEL GODDARD, Department of Crop Genetics; ANDREW STEED, Department of Crop Genetics; PEDRO LUIZ SCHEEREN, CNPT; JOAO LEODATO NUNES MACIEL, CNPT; EDUARDO CAIERAO, CNPT; GISELE ABIGAIL MONTAN TORRES, CNPT; LUCIANO CONSOLI, CNPT; FLAVIO MARTINS SANTANA, CNPT; JOSE MAURICIO CUNHA FERNANDES, CNPT; JAMES SIMMONDS, Department of Crop Genetics; CRISTOBAL UAUY, Department of Crop Genetics; JAMES COCKRAM, NIAB; PAUL NICHOLSON, Department of Crop Genetics. |
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Título: |
Identification of Fusarium head blight resistance loci in two Brazilian wheat mapping populations. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Plos One, v. 16, n. 3, e0248184, Mar. 2021. |
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DOI: |
https://doi.org/ 10.1371/journal.pone.0248184 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract Fusarium head blight (FHB) is a disease of wheat (Triticum aestivum L.) that causes major yield losses in South America, as well as many other wheat growing regions around the world. FHB results in low quality, contaminated grain due to the production of mycotoxins such as deoxynivalenol (DON). In Brazil, FHB outbreaks are increasing in frequency and are currently controlled by fungicides which are costly and potentially harmful to the wider environment. To identify the genetic basis of resistance to FHB in Brazilian wheat, two mapping populations (Anahuac 75 × BR 18-Terena and BR 18-Terena × BRS 179) segregating for FHB resistance were phenotyped and quantitative trait loci (QTL) analysis was undertaken to identify genomic regions associated with FHB-related traits. A total of 14 QTL associated with FHB visual symptoms were identified, each of which explained 3.7?17.3% of the phenotypic variance. Two of these QTL were stable across environments. This suggests FHB resistance in Anahuac 75, BR 18-Terena and BRS 179 is controlled by multiple genetic loci that confer relatively minor differences in resistance. A major, novel QTL associated with DON accumulation was also identified on chromosome 4B (17.8% of the phenotypic variance), as well as a major QTL associated with thousand-grain weight on chromosome 6B (16.8% phenotypic variance). These QTL could be useful breeding targets, when pyramided with major sources of resistance such as Fhb1, to improve grain quality and reduce the reliance on fungicides in Brazil and other countries affected by FHB. MenosAbstract Fusarium head blight (FHB) is a disease of wheat (Triticum aestivum L.) that causes major yield losses in South America, as well as many other wheat growing regions around the world. FHB results in low quality, contaminated grain due to the production of mycotoxins such as deoxynivalenol (DON). In Brazil, FHB outbreaks are increasing in frequency and are currently controlled by fungicides which are costly and potentially harmful to the wider environment. To identify the genetic basis of resistance to FHB in Brazilian wheat, two mapping populations (Anahuac 75 × BR 18-Terena and BR 18-Terena × BRS 179) segregating for FHB resistance were phenotyped and quantitative trait loci (QTL) analysis was undertaken to identify genomic regions associated with FHB-related traits. A total of 14 QTL associated with FHB visual symptoms were identified, each of which explained 3.7?17.3% of the phenotypic variance. Two of these QTL were stable across environments. This suggests FHB resistance in Anahuac 75, BR 18-Terena and BRS 179 is controlled by multiple genetic loci that confer relatively minor differences in resistance. A major, novel QTL associated with DON accumulation was also identified on chromosome 4B (17.8% of the phenotypic variance), as well as a major QTL associated with thousand-grain weight on chromosome 6B (16.8% phenotypic variance). These QTL could be useful breeding targets, when pyramided with major sources of resistance such as Fhb1, to improve grain quality an... Mostrar Tudo |
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Thesagro: |
Doença de Planta; Doença Fúngica; Fungo; Fusarium; Trigo. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221891/1/Artigo-PLOS-ONE-Eduardo-Caierao-Embrapa-Trigo.pdf
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Marc: |
LEADER 02531naa a2200337 a 4500
001 2130692
005 2021-03-15
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/ 10.1371/journal.pone.0248184$2DOI
100 1 $aGODDARD, R.
245 $aIdentification of Fusarium head blight resistance loci in two Brazilian wheat mapping populations.$h[electronic resource]
260 $c2021
520 $aAbstract Fusarium head blight (FHB) is a disease of wheat (Triticum aestivum L.) that causes major yield losses in South America, as well as many other wheat growing regions around the world. FHB results in low quality, contaminated grain due to the production of mycotoxins such as deoxynivalenol (DON). In Brazil, FHB outbreaks are increasing in frequency and are currently controlled by fungicides which are costly and potentially harmful to the wider environment. To identify the genetic basis of resistance to FHB in Brazilian wheat, two mapping populations (Anahuac 75 × BR 18-Terena and BR 18-Terena × BRS 179) segregating for FHB resistance were phenotyped and quantitative trait loci (QTL) analysis was undertaken to identify genomic regions associated with FHB-related traits. A total of 14 QTL associated with FHB visual symptoms were identified, each of which explained 3.7?17.3% of the phenotypic variance. Two of these QTL were stable across environments. This suggests FHB resistance in Anahuac 75, BR 18-Terena and BRS 179 is controlled by multiple genetic loci that confer relatively minor differences in resistance. A major, novel QTL associated with DON accumulation was also identified on chromosome 4B (17.8% of the phenotypic variance), as well as a major QTL associated with thousand-grain weight on chromosome 6B (16.8% phenotypic variance). These QTL could be useful breeding targets, when pyramided with major sources of resistance such as Fhb1, to improve grain quality and reduce the reliance on fungicides in Brazil and other countries affected by FHB.
650 $aDoença de Planta
650 $aDoença Fúngica
650 $aFungo
650 $aFusarium
650 $aTrigo
700 1 $aSTEED, A.
700 1 $aSCHEEREN, P. L.
700 1 $aMACIEL, J. L. N.
700 1 $aCAIERAO, E.
700 1 $aTORRES, G. A. M.
700 1 $aCONSOLI, L.
700 1 $aSANTANA, F. M.
700 1 $aFERNANDES, J. M. C.
700 1 $aSIMOONDS, J.
700 1 $aUAUY, C.
700 1 $aCOCKRAM, J.
700 1 $aNICHOLSON, P.
773 $tPlos One$gv. 16, n. 3, e0248184, Mar. 2021.
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Embrapa Trigo (CNPT) |
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