| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
29/02/2016 |
|
Data da última atualização: |
21/01/2020 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
BELESINI, A. A.; TELLES, B. R.; CASTRO, G. M. de; GIACHETTO, P. F.; VANTINI, J. da S.; CARVALHO, F. M. de S.; CARLIN, S. R.; CAZETTA, J. O.; FERRO, M. I. T.; PINHEIRO, D. G. |
|
Afiliação: |
ALINE ANDRUCIOLI BELESINI, FCAV/Unesp; BRUNA ROBIATI TELLES, FCAV/Unesp; GIOVANNI MARQUES DE CASTRO, CNPTIA; POLIANA FERNANDA GIACHETTO, CNPTIA; JULIANA DA SILVA VANTINI, FCAV/Unesp; FLÁVIA MARIA DE SOUZA CARVALHO, FCAV/Unesp; SAMIRA RODRIGUES CARLIN, IAC/Apta; JAIRO OSWALDO CAZETTA, FCAV/Unesp; MARIA INES T. FERRO, FCAV/Unesp; DANIEL GUARIZ PINHEIRO, FCAV/Unesp. |
|
Título: |
de novo Assembly and transcriptome analysis of sugarcane leaves from contrasting varieties submitted to prolonged water stress. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. |
|
Páginas: |
Não paginado. |
|
Idioma: |
Inglês |
|
Notas: |
PAG 2016. Pôster P0792. |
|
Conteúdo: |
Sugarcane is an important crop, major source of sugar and alcohol, accounting for two-thirds of the world's sugar production. In Brazil, the sugarcane culture has expanded to areas with prolonged drought seasons, which is constraining its production. In order to identify genes and molecular process related to sugarcane drought tolerance, we performed de novo assembly and transcriptome analysis of two sugarcane genotypes, one tolerant and other sensitive to water stress, submitted to three water deficit condition (30, 60 and 90 days). The de novo assembly of leaves transcriptome was performed using short reads from Illumina RNA-Seq platform, which produced more than 1 billion reads, which were assembled into 177,509 and 185,153 transcripts sequences for the tolerant and sensitive cultivars, respectively. These transcripts were aligned with Sorghum bicolor, Miscanthus giganteus, Arabidopsis thaliana sequences and sugarcane sequences available in public databases. This analysis allowed the identification of a set of sugarcane genes shared with other species, as well as led to the identification of novel transcripts not cataloged yet. Differential expression analysis between genotypes and among days of water deficit were performed with EdgeR and DESeq. The differentially expressed genes were annotated and categorized using Blast2GO. The terms "enzyme regulator" and "transcription regulator" were highlighted within the differentially expressed genes between the contrasting cultivars, suggesting the importance of gene regulation during water deficit. This study found new molecular patterns, which provided hypotheses on plant response to drought and provided important information about genes involved in drought tolerance response. MenosSugarcane is an important crop, major source of sugar and alcohol, accounting for two-thirds of the world's sugar production. In Brazil, the sugarcane culture has expanded to areas with prolonged drought seasons, which is constraining its production. In order to identify genes and molecular process related to sugarcane drought tolerance, we performed de novo assembly and transcriptome analysis of two sugarcane genotypes, one tolerant and other sensitive to water stress, submitted to three water deficit condition (30, 60 and 90 days). The de novo assembly of leaves transcriptome was performed using short reads from Illumina RNA-Seq platform, which produced more than 1 billion reads, which were assembled into 177,509 and 185,153 transcripts sequences for the tolerant and sensitive cultivars, respectively. These transcripts were aligned with Sorghum bicolor, Miscanthus giganteus, Arabidopsis thaliana sequences and sugarcane sequences available in public databases. This analysis allowed the identification of a set of sugarcane genes shared with other species, as well as led to the identification of novel transcripts not cataloged yet. Differential expression analysis between genotypes and among days of water deficit were performed with EdgeR and DESeq. The differentially expressed genes were annotated and categorized using Blast2GO. The terms "enzyme regulator" and "transcription regulator" were highlighted within the differentially expressed genes between the contrasting cultiv... Mostrar Tudo |
|
Palavras-Chave: |
Bioinformática; Cana-de-açúcar; Tolerância à seca; Transcriptoma. |
|
Thesaurus Nal: |
Bioinformatics; Drought tolerance; Sugarcane; Transcriptomics; Water stress. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/140287/1/PAG-p0792.pdf
|
|
Marc: |
LEADER 02866nam a2200349 a 4500
001 2038946
005 2020-01-21
008 2016 bl uuuu u00u1 u #d
100 1 $aBELESINI, A. A.
245 $ade novo Assembly and transcriptome analysis of sugarcane leaves from contrasting varieties submitted to prolonged water stress.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016.$c2016
300 $aNão paginado.
500 $aPAG 2016. Pôster P0792.
520 $aSugarcane is an important crop, major source of sugar and alcohol, accounting for two-thirds of the world's sugar production. In Brazil, the sugarcane culture has expanded to areas with prolonged drought seasons, which is constraining its production. In order to identify genes and molecular process related to sugarcane drought tolerance, we performed de novo assembly and transcriptome analysis of two sugarcane genotypes, one tolerant and other sensitive to water stress, submitted to three water deficit condition (30, 60 and 90 days). The de novo assembly of leaves transcriptome was performed using short reads from Illumina RNA-Seq platform, which produced more than 1 billion reads, which were assembled into 177,509 and 185,153 transcripts sequences for the tolerant and sensitive cultivars, respectively. These transcripts were aligned with Sorghum bicolor, Miscanthus giganteus, Arabidopsis thaliana sequences and sugarcane sequences available in public databases. This analysis allowed the identification of a set of sugarcane genes shared with other species, as well as led to the identification of novel transcripts not cataloged yet. Differential expression analysis between genotypes and among days of water deficit were performed with EdgeR and DESeq. The differentially expressed genes were annotated and categorized using Blast2GO. The terms "enzyme regulator" and "transcription regulator" were highlighted within the differentially expressed genes between the contrasting cultivars, suggesting the importance of gene regulation during water deficit. This study found new molecular patterns, which provided hypotheses on plant response to drought and provided important information about genes involved in drought tolerance response.
650 $aBioinformatics
650 $aDrought tolerance
650 $aSugarcane
650 $aTranscriptomics
650 $aWater stress
653 $aBioinformática
653 $aCana-de-açúcar
653 $aTolerância à seca
653 $aTranscriptoma
700 1 $aTELLES, B. R.
700 1 $aCASTRO, G. M. de
700 1 $aGIACHETTO, P. F.
700 1 $aVANTINI, J. da S.
700 1 $aCARVALHO, F. M. de S.
700 1 $aCARLIN, S. R.
700 1 $aCAZETTA, J. O.
700 1 $aFERRO, M. I. T.
700 1 $aPINHEIRO, D. G.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Gado de Corte. |
|
Data corrente: |
02/12/2016 |
|
Data da última atualização: |
21/01/2020 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
MOREIRA, J. M. M. A. P.; FASIABEN, M. do C. R.; BARIONI, L. G.; OLIVEIRA, A. F. de; COSTA, F. P.; DIAS, F. R. T.; ABREU, U. G. P. de; SANTOS, J. C. dos; SENA, A. L. dos S.; LAMPERT, V. do N.; OLIVEIRA, P. P. A.; PEDROSO, A. de F.; SILVA, R. de O. |
|
Afiliação: |
JOSE MAURO M AVILA PAZ MOREIRA, CNPF; MARIA DO CARMO RAMOS FASIABEN, CNPTIA; LUIS GUSTAVO BARIONI, CNPTIA; ARYEVERTON FORTES DE OLIVEIRA, CNPTIA; FERNANDO PAIM COSTA, CNPGC; FERNANDO RODRIGUES TEIXEIRA DIAS, CPAP; URBANO GOMES PINTO DE ABREU, CPAP; JAIR CARVALHO DOS SANTOS, CPATU; ANA LAURA DOS SANTOS SENA, CPATU; VINICIUS DO NASCIMENTO LAMPERT, CPPSUL; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; ANDRE DE FARIA PEDROSO, CPPSE; RAFAEL DE OLIVEIRA SILVA, The University of Edinburgh. |
|
Título: |
An optimization model to deal with livestock production and emissions while maximizing the overall net revenue. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016. |
|
Páginas: |
p. 153-157. |
|
Série: |
(Embrapa Gado de Corte. Documentos, 216). |
|
ISSN: |
1983-974X |
|
Idioma: |
Inglês |
|
Notas: |
Coordenador: Roberto Giolo de Almeida. II SIGEE. |
|
Conteúdo: |
The Brazil is second world´s largest beef producer (FAO, 2016), with a great variety of climate and natural resources on its Biomas. The grassland area allocated to livestock systems is about 170 Mha, with a great variety of production systems adopted on each one of them (IBGE, 2016). Beef production systems have different input of resources and result on different outputs, as beef, money and greenhouse gases (GEE) emissions. Finding promising solutions dealing with the complexity of the drivers of the trade-offs between profit, production and GEE´s is not trivial. Some authors have evaluated such trade-offs through detailed mathematical models of the technological dynamics in a production system (OLIVEIRA SILVA et al, 2015; 2016). This work uses an alternative approach where the transition of production systems is modeled. The main objective was to develop a linear programming optimization model with that could represent the dynamics of cattle production system?s adoption, maximizing the total net revenue or family revenue profit over the period on different future scenarios. Those considered a beef demand to be met, the amount of capital available, the maximum GEE emission, while complying with constraints considering the producer´s low inclination to adopt new technologies. |
|
Palavras-Chave: |
Emissão de gases; Modelagem. |
|
Thesagro: |
Gado de corte; Pecuária. |
|
Thesaurus NAL: |
Beef; Beef cattle; Greenhouse gas emissions; Livestock production; Models. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/154068/1/An-optimization-model-to-deal.pdf
|
|
Marc: |
LEADER 02628nam a2200409 a 4500
001 2057802
005 2020-01-21
008 2016 bl uuuu u01u1 u #d
022 $a1983-974X
100 1 $aMOREIRA, J. M. M. A. P.
245 $aAn optimization model to deal with livestock production and emissions while maximizing the overall net revenue.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa$c2016
300 $ap. 153-157.
490 $a(Embrapa Gado de Corte. Documentos, 216).
500 $aCoordenador: Roberto Giolo de Almeida. II SIGEE.
520 $aThe Brazil is second world´s largest beef producer (FAO, 2016), with a great variety of climate and natural resources on its Biomas. The grassland area allocated to livestock systems is about 170 Mha, with a great variety of production systems adopted on each one of them (IBGE, 2016). Beef production systems have different input of resources and result on different outputs, as beef, money and greenhouse gases (GEE) emissions. Finding promising solutions dealing with the complexity of the drivers of the trade-offs between profit, production and GEE´s is not trivial. Some authors have evaluated such trade-offs through detailed mathematical models of the technological dynamics in a production system (OLIVEIRA SILVA et al, 2015; 2016). This work uses an alternative approach where the transition of production systems is modeled. The main objective was to develop a linear programming optimization model with that could represent the dynamics of cattle production system?s adoption, maximizing the total net revenue or family revenue profit over the period on different future scenarios. Those considered a beef demand to be met, the amount of capital available, the maximum GEE emission, while complying with constraints considering the producer´s low inclination to adopt new technologies.
650 $aBeef
650 $aBeef cattle
650 $aGreenhouse gas emissions
650 $aLivestock production
650 $aModels
650 $aGado de corte
650 $aPecuária
653 $aEmissão de gases
653 $aModelagem
700 1 $aFASIABEN, M. do C. R.
700 1 $aBARIONI, L. G.
700 1 $aOLIVEIRA, A. F. de
700 1 $aCOSTA, F. P.
700 1 $aDIAS, F. R. T.
700 1 $aABREU, U. G. P. de
700 1 $aSANTOS, J. C. dos
700 1 $aSENA, A. L. dos S.
700 1 $aLAMPERT, V. do N.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aPEDROSO, A. de F.
700 1 $aSILVA, R. de O.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
