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| Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
03/11/2023 |
Data da última atualização: |
25/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MATSUNAGA, W. K.; SALES, E. S. G.; ASSIS JÚNIOR, G. C.; SILVA, M. T.; LACERDA, F. F.; LIMA, E. de P.; SANTOS, C. A. C. dos; BRITO, J. I. B. de. |
Afiliação: |
WENDY KAORI MATSUNAGA, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; ELITON SANCLER GOMES SALES, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; GERVÁSIO COSTA ASSIS JÚNIOR, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; MADSON TAVARES SILVA, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; FRANCINETE FRANCIS LACERDA, INSTITUTO AGRONÔMICO DE PERNAMBUCO; EVALDO DE PAIVA LIMA, CNPS; CARLOS ANTONIO COSTA DOS SANTOS, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE; JOSÉ IVALDO BARBOSA DE BRITO, UNIVERSIDADE FEDERAL DE CAMPINA GRANDE. |
Título: |
Application of ERA5-Land reanalysis data in zoning of climate risk for corn in the state of Bahia-Brazil. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Theoretical and Applied Climatology, v. 155, p. 945-963, 2024. |
DOI: |
https://doi.org/10.1007/s00704-023-04670-3 |
Idioma: |
Inglês |
Conteúdo: |
The agricultural zoning of climate risk (AZCR) is a fundamental tool for agricultural activities, as it identifies regions and times of lower climatic risk for planting and sowing crops. An AZCR representative of large areas requires a network of meteorological stations with dense spatial distribution, routine, and accurate observations. In Brazil, there is a good spatial distribution of rain gauges, but there is a scarcity in the spatial distribution of meteorological stations necessary to conduct an AZCR. One way to overcome the lack of data observed in situ is to use reanalysis data. However, it is necessary to show that it is possible to perform a reliable AZCR using it. Therefore, the objective of this research is to elaborate an AZCR for corn in the state of Bahia using reanalysis data and quantifying its viability. The ERA5-Land reanalysis database was chosen. When performing the validation of the ERA5-Land reanalysis data, it was verified that rainfall was the only meteorological variable needed for an AZCR that did not present seasonal and interannual values and variability similar to those already observed. Therefore, it was decided to validate the rainfall data from the CPC/NOAA Precipitation Project. With data from the ERA5-Land and CPC/NOAA Precipitation Project reanalysis validated, the AZCR for corn was performed in the state of Bahia, leading to the conclusion that it is possible to develop a reliable and robust AZCR with reanalysis data. |
Palavras-Chave: |
ZARC. |
Thesagro: |
Milho; Risco Climático; Zoneamento Agrícola. |
Thesaurus Nal: |
Agricultural zoning; Corn. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02361naa a2200289 a 4500 001 2157712 005 2024-01-25 008 2024 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s00704-023-04670-3$2DOI 100 1 $aMATSUNAGA, W. K. 245 $aApplication of ERA5-Land reanalysis data in zoning of climate risk for corn in the state of Bahia-Brazil.$h[electronic resource] 260 $c2024 520 $aThe agricultural zoning of climate risk (AZCR) is a fundamental tool for agricultural activities, as it identifies regions and times of lower climatic risk for planting and sowing crops. An AZCR representative of large areas requires a network of meteorological stations with dense spatial distribution, routine, and accurate observations. In Brazil, there is a good spatial distribution of rain gauges, but there is a scarcity in the spatial distribution of meteorological stations necessary to conduct an AZCR. One way to overcome the lack of data observed in situ is to use reanalysis data. However, it is necessary to show that it is possible to perform a reliable AZCR using it. Therefore, the objective of this research is to elaborate an AZCR for corn in the state of Bahia using reanalysis data and quantifying its viability. The ERA5-Land reanalysis database was chosen. When performing the validation of the ERA5-Land reanalysis data, it was verified that rainfall was the only meteorological variable needed for an AZCR that did not present seasonal and interannual values and variability similar to those already observed. Therefore, it was decided to validate the rainfall data from the CPC/NOAA Precipitation Project. With data from the ERA5-Land and CPC/NOAA Precipitation Project reanalysis validated, the AZCR for corn was performed in the state of Bahia, leading to the conclusion that it is possible to develop a reliable and robust AZCR with reanalysis data. 650 $aAgricultural zoning 650 $aCorn 650 $aMilho 650 $aRisco Climático 650 $aZoneamento Agrícola 653 $aZARC 700 1 $aSALES, E. S. G. 700 1 $aASSIS JÚNIOR, G. C. 700 1 $aSILVA, M. T. 700 1 $aLACERDA, F. F. 700 1 $aLIMA, E. de P. 700 1 $aSANTOS, C. A. C. dos 700 1 $aBRITO, J. I. B. de 773 $tTheoretical and Applied Climatology$gv. 155, p. 945-963, 2024.
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Embrapa Solos (CNPS) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
28/03/2009 |
Data da última atualização: |
10/07/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SILVA-PINHATI, A. C.; BOSCARIOL-CAMARGO, R. L.; MALOSSO, A.; SOUZA, A. A. de; AMARAL, A. M. do; CARLOS, E. F.; FREITAS-ASTUA, J.; TAKITA, M. A.; TARGON, M. L. N. P.; MACHADO, M. A. |
Afiliação: |
Ana Carla Silva-Pinhati, IAC; Raquel Luciana Boscariol-Camargo, IAC; Adriano Malosso, IAC; Alessandra Alves de Souza, IAC; Alexandre Morais do Amaral, CENARGEN; Eduardo Fermino Carlos, IAC; Juliana Freitas-Astua, CNPMF; Marco Aurelio Takita, IAC; Maria Luisa N.P. Targon, IAC; Marcos Antonio Machado, IAC. |
Título: |
ESTs of roots of different citrus species and differential expression of genes associated to drought tolerance. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: THE INTERNATIONAL CONFERENCE ON THE STATUS OF PLANT & ANIMAL GENOME RESEARCH, 16., 2008, San Diego. Final abstracts guide. San Diego: Illumina, 2008. |
Idioma: |
Inglês |
Conteúdo: |
Biotic and abiotic stresses in citrus species are the main challenges to the breeding programs and to maintain the productivity at field conditions. Among abiotic factors affecting citrus growth water stress represents an important factor around the world, especially in no irrigated citrus orchards. Rangpur lime (Citrus limonia Osb. cv Santa Barbara, tolerant to water stress), Swingle citrumelo (C. paradisi x Poncirus trifoliata, less tolerant to water stress), and trifoliate orange (P. trifoliata cv. Rubidoux, susceptible to water stress) are important rootstocks in Brazil and in other citrus growing areas around the world. Aiming to compare the response to water stress conditions both ESTs libraries and gene expressions were evaluated in these three rootstocks. Libraries of 19,356 ESTs were produced (6325 of Rangpur lime, 7182 of Swingle citrumelo, and 5849 of P. trifoliata), and statistically evaluated to compare the frequency of more expressed sequences, which were used to follow up their expression by RT-qPCR. Roots under induced water stress were used in the biological assays. Selected genes for expression studies included the transcription factor CBF-1, the gene of the enzyme P5CS, germin-like gene, aquaporin, and dehidrin. Analysis of Rangpur lime revealed that germin-like, dehidrin and aquaporin were expressed lately, suggesting no participation in the initial response to the water stress. On the other hand, different response was obtained with p5cs and cbf genes that were quickly activated in Rangpur lime and Swingle citrumelo. These data suggested that transcription factors and proline are involved in initial responses of resistance to drought and could be responsible for the differences involving stress tolerance among the genotypes. MenosBiotic and abiotic stresses in citrus species are the main challenges to the breeding programs and to maintain the productivity at field conditions. Among abiotic factors affecting citrus growth water stress represents an important factor around the world, especially in no irrigated citrus orchards. Rangpur lime (Citrus limonia Osb. cv Santa Barbara, tolerant to water stress), Swingle citrumelo (C. paradisi x Poncirus trifoliata, less tolerant to water stress), and trifoliate orange (P. trifoliata cv. Rubidoux, susceptible to water stress) are important rootstocks in Brazil and in other citrus growing areas around the world. Aiming to compare the response to water stress conditions both ESTs libraries and gene expressions were evaluated in these three rootstocks. Libraries of 19,356 ESTs were produced (6325 of Rangpur lime, 7182 of Swingle citrumelo, and 5849 of P. trifoliata), and statistically evaluated to compare the frequency of more expressed sequences, which were used to follow up their expression by RT-qPCR. Roots under induced water stress were used in the biological assays. Selected genes for expression studies included the transcription factor CBF-1, the gene of the enzyme P5CS, germin-like gene, aquaporin, and dehidrin. Analysis of Rangpur lime revealed that germin-like, dehidrin and aquaporin were expressed lately, suggesting no participation in the initial response to the water stress. On the other hand, different response was obtained with p5cs and cbf genes th... Mostrar Tudo |
Palavras-Chave: |
Estresse. |
Thesagro: |
Água; Fruta Cítrica; Gene; Genótipo. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02691nam a2200277 a 4500 001 1655627 005 2023-07-10 008 2008 bl uuuu u00u1 u #d 100 1 $aSILVA-PINHATI, A. C. 245 $aESTs of roots of different citrus species and differential expression of genes associated to drought tolerance.$h[electronic resource] 260 $aIn: THE INTERNATIONAL CONFERENCE ON THE STATUS OF PLANT & ANIMAL GENOME RESEARCH, 16., 2008, San Diego. Final abstracts guide. San Diego: Illumina$c2008 520 $aBiotic and abiotic stresses in citrus species are the main challenges to the breeding programs and to maintain the productivity at field conditions. Among abiotic factors affecting citrus growth water stress represents an important factor around the world, especially in no irrigated citrus orchards. Rangpur lime (Citrus limonia Osb. cv Santa Barbara, tolerant to water stress), Swingle citrumelo (C. paradisi x Poncirus trifoliata, less tolerant to water stress), and trifoliate orange (P. trifoliata cv. Rubidoux, susceptible to water stress) are important rootstocks in Brazil and in other citrus growing areas around the world. Aiming to compare the response to water stress conditions both ESTs libraries and gene expressions were evaluated in these three rootstocks. Libraries of 19,356 ESTs were produced (6325 of Rangpur lime, 7182 of Swingle citrumelo, and 5849 of P. trifoliata), and statistically evaluated to compare the frequency of more expressed sequences, which were used to follow up their expression by RT-qPCR. Roots under induced water stress were used in the biological assays. Selected genes for expression studies included the transcription factor CBF-1, the gene of the enzyme P5CS, germin-like gene, aquaporin, and dehidrin. Analysis of Rangpur lime revealed that germin-like, dehidrin and aquaporin were expressed lately, suggesting no participation in the initial response to the water stress. On the other hand, different response was obtained with p5cs and cbf genes that were quickly activated in Rangpur lime and Swingle citrumelo. These data suggested that transcription factors and proline are involved in initial responses of resistance to drought and could be responsible for the differences involving stress tolerance among the genotypes. 650 $aÁgua 650 $aFruta Cítrica 650 $aGene 650 $aGenótipo 653 $aEstresse 700 1 $aBOSCARIOL-CAMARGO, R. L. 700 1 $aMALOSSO, A. 700 1 $aSOUZA, A. A. de 700 1 $aAMARAL, A. M. do 700 1 $aCARLOS, E. F. 700 1 $aFREITAS-ASTUA, J. 700 1 $aTAKITA, M. A. 700 1 $aTARGON, M. L. N. P. 700 1 $aMACHADO, M. A.
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