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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
09/10/2020 |
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Data da última atualização: |
25/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
XIN, F.; XIAO, X.; CABRAL, O. M. R.; WHITE JUNIOR, P. M.; GUO, H.; MA, J.; LI, B.; ZHAO, B. |
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Afiliação: |
FENGFEI XIN, Fudan University; XIANGMING XIAO, University of Oklahoma; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; PAUL M WHITE JUNIOR, ARS-USDA; HAIQIANG GUO, Fudan University; JUN MA, Fudan University; BO LI, Fudan University; BIN ZHAO, Fudan University. |
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Título: |
Understanding the land surface phenology and gross primary production of sugarcane plantations by eddy flux measurements, MODIS images, and data-driven models. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Remote Sensing, v. 12, n. 14, article 2186, 2020. |
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Páginas: |
p. 1-20. |
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DOI: |
https://doi.org/10.3390/rs12142186 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Sugarcane (complex hybrids of Saccharum spp., C4 plant) croplands provide cane stalk feedstock for sugar and biofuel (ethanol) production. It is critical for us to analyze the phenology and gross primary production (GPP) of sugarcane croplands, which would help us to better understand and monitor the sugarcane growing condition and the carbon cycle. In this study, we combined the data from two sugarcane EC flux tower sites in Brazil and the USA, images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, and data-driven models to study the phenology and GPP of sugarcane croplands. The seasonal dynamics of climate, vegetation indices from MODIS images, and GPP from two sugarcane flux tower sites (GPPEC) reveal the temporal consistency in sugarcane phenology (crop calendar: green-up dates and harvesting dates) as estimated by the vegetation indices and GPPEC data. The Land Surface Water Index (LSWI) is shown to be useful to delineate the phenology of sugarcane croplands. The relationship between the sugarcane GPPEC and the Enhanced Vegetation Index (EVI) is stronger than the relationship between the GPPEC and the Normalized Difference Vegetation Index (NDVI). We ran the Vegetation Photosynthesis Model (VPM), which uses the light use efficiency (LUE) concept and is driven by climate data and MODIS images, to estimate the daily GPP at the two sugarcane sites (GPPVPM). The seasonal dynamics of the GPPVPM and GPPEC at the two sites agreed reasonably well with each other, which indicates that VPM is a powerful tool for estimating the GPP of sugarcane croplands in Brazil and the USA. This study clearly highlights the potential of combining eddy covariance technology, satellite-based remote sensing technology, and data-driven models for better understanding and monitoring the phenology and GPP of sugarcane croplands under different climate and management practices. MenosAbstract: Sugarcane (complex hybrids of Saccharum spp., C4 plant) croplands provide cane stalk feedstock for sugar and biofuel (ethanol) production. It is critical for us to analyze the phenology and gross primary production (GPP) of sugarcane croplands, which would help us to better understand and monitor the sugarcane growing condition and the carbon cycle. In this study, we combined the data from two sugarcane EC flux tower sites in Brazil and the USA, images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, and data-driven models to study the phenology and GPP of sugarcane croplands. The seasonal dynamics of climate, vegetation indices from MODIS images, and GPP from two sugarcane flux tower sites (GPPEC) reveal the temporal consistency in sugarcane phenology (crop calendar: green-up dates and harvesting dates) as estimated by the vegetation indices and GPPEC data. The Land Surface Water Index (LSWI) is shown to be useful to delineate the phenology of sugarcane croplands. The relationship between the sugarcane GPPEC and the Enhanced Vegetation Index (EVI) is stronger than the relationship between the GPPEC and the Normalized Difference Vegetation Index (NDVI). We ran the Vegetation Photosynthesis Model (VPM), which uses the light use efficiency (LUE) concept and is driven by climate data and MODIS images, to estimate the daily GPP at the two sugarcane sites (GPPVPM). The seasonal dynamics of the GPPVPM and GPPEC at the two sites agreed reasonably wel... Mostrar Tudo |
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Palavras-Chave: |
CO2; Eddy covariance flux tower; MODIS images; Vegetation photosynthesis model. |
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Thesagro: |
Cana de Açúcar; Dióxido de Carbono; Fenologia; Sensoriamento Remoto. |
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Thesaurus Nal: |
Carbon dioxide; Eddy covariance; Photosynthesis; Remote sensing; Sugarcane; Vegetation index. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216551/1/Cabral-Understanding-Land-2020.pdf
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Marc: |
LEADER 03091naa a2200397 a 4500
001 2125400
005 2021-08-25
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs12142186$2DOI
100 1 $aXIN, F.
245 $aUnderstanding the land surface phenology and gross primary production of sugarcane plantations by eddy flux measurements, MODIS images, and data-driven models.$h[electronic resource]
260 $c2020
300 $ap. 1-20.
520 $aAbstract: Sugarcane (complex hybrids of Saccharum spp., C4 plant) croplands provide cane stalk feedstock for sugar and biofuel (ethanol) production. It is critical for us to analyze the phenology and gross primary production (GPP) of sugarcane croplands, which would help us to better understand and monitor the sugarcane growing condition and the carbon cycle. In this study, we combined the data from two sugarcane EC flux tower sites in Brazil and the USA, images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor, and data-driven models to study the phenology and GPP of sugarcane croplands. The seasonal dynamics of climate, vegetation indices from MODIS images, and GPP from two sugarcane flux tower sites (GPPEC) reveal the temporal consistency in sugarcane phenology (crop calendar: green-up dates and harvesting dates) as estimated by the vegetation indices and GPPEC data. The Land Surface Water Index (LSWI) is shown to be useful to delineate the phenology of sugarcane croplands. The relationship between the sugarcane GPPEC and the Enhanced Vegetation Index (EVI) is stronger than the relationship between the GPPEC and the Normalized Difference Vegetation Index (NDVI). We ran the Vegetation Photosynthesis Model (VPM), which uses the light use efficiency (LUE) concept and is driven by climate data and MODIS images, to estimate the daily GPP at the two sugarcane sites (GPPVPM). The seasonal dynamics of the GPPVPM and GPPEC at the two sites agreed reasonably well with each other, which indicates that VPM is a powerful tool for estimating the GPP of sugarcane croplands in Brazil and the USA. This study clearly highlights the potential of combining eddy covariance technology, satellite-based remote sensing technology, and data-driven models for better understanding and monitoring the phenology and GPP of sugarcane croplands under different climate and management practices.
650 $aCarbon dioxide
650 $aEddy covariance
650 $aPhotosynthesis
650 $aRemote sensing
650 $aSugarcane
650 $aVegetation index
650 $aCana de Açúcar
650 $aDióxido de Carbono
650 $aFenologia
650 $aSensoriamento Remoto
653 $aCO2
653 $aEddy covariance flux tower
653 $aMODIS images
653 $aVegetation photosynthesis model
700 1 $aXIAO, X.
700 1 $aCABRAL, O. M. R.
700 1 $aWHITE JUNIOR, P. M.
700 1 $aGUO, H.
700 1 $aMA, J.
700 1 $aLI, B.
700 1 $aZHAO, B.
773 $tRemote Sensing$gv. 12, n. 14, article 2186, 2020.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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Data corrente: |
26/07/2022 |
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Data da última atualização: |
10/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CARDOSO, T. F.; BRUSCADIN, J. J.; AFONSO, J.; PETRINI, J.; ANDRADE, B. G. N.; OLIVEIRA, P. S. N. de; MALHEIROS, J. M.; ROCHA, M. I. P.; ZERLOTINI NETO, A.; FERRAZ, J. B. S.; MOURÃO, G. B.; COUTINHO, L. L.; REGITANO, L. C. de A. |
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Afiliação: |
UFSCar; ESALQ/USP; Munster Technological University; UFSCar; Federal University of Latin American Integration, Foz do Iguaçu; UFSCar; ADHEMAR ZERLOTINI NETO, CNPTIA; FZEA/USP; ESALQ/USP; ESALQ/USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
EEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Mammalian Genome, v. 33, n. 4, p. 619-628, Dec. 2022. |
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DOI: |
https://doi.org/10.1007/s00335-022-09959-8 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. Cis-acting effects of noncoding variants on gene expression and regulatory molecules constitute a significant factor for phenotypic variation in complex traits. To provide new insights into the impacts of single-nucleotide polymorphisms (SNPs) on transcription factors (TFs) and transcription cofactors (TcoF) coding genes, we carried out a multi-omic analysis to identify cis-regulatory effects of SNPs on these genes? expression in muscle and describe their association with feed efficiency-related traits in Nelore cattle. As a result, we identified one SNP, the rs137256008C > T, predicted to impact the EEF1A1 gene expression (? = 3.02; P-value = 3.51E-03) and the residual feed intake trait (? = -3.47; P-value = 0.02). This SNP was predicted to modify transcription factor sites and overlaps with several QTL for feed efficiency traits. In addition, coexpression network analyses showed that animals containing the T allele of the rs137256008 SNP may be triggering changes in the gene network. Therefore, our analyses reinforce and contribute to a better understanding of the biological mechanisms underlying gene expression control of feed efficiency traits in bovines. The cis-regulatory SNP can be used as biomarker for feed efficiency in Nelore cattle. |
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Palavras-Chave: |
Cofatores de transcrição; Expressão gênica; Fatores de transcrição; Loci de característica quantitativa; Nelore cattle; Polimorfismos de nucleotídeo único. |
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Thesagro: |
Gado Nelore. |
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Thesaurus NAL: |
Gene expression; Quantitative trait loci; Single nucleotide polymorphism; Transcription (genetics); Transcription factors. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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Marc: |
LEADER 02647naa a2200421 a 4500
001 2144939
005 2022-11-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00335-022-09959-8$2DOI
100 1 $aCARDOSO, T. F.
245 $aEEF1A1 transcription cofactor gene polymorphism is associated with muscle gene expression and residual feed intake in Nelore cattle.$h[electronic resource]
260 $c2022
520 $aAbstract. Cis-acting effects of noncoding variants on gene expression and regulatory molecules constitute a significant factor for phenotypic variation in complex traits. To provide new insights into the impacts of single-nucleotide polymorphisms (SNPs) on transcription factors (TFs) and transcription cofactors (TcoF) coding genes, we carried out a multi-omic analysis to identify cis-regulatory effects of SNPs on these genes? expression in muscle and describe their association with feed efficiency-related traits in Nelore cattle. As a result, we identified one SNP, the rs137256008C > T, predicted to impact the EEF1A1 gene expression (? = 3.02; P-value = 3.51E-03) and the residual feed intake trait (? = -3.47; P-value = 0.02). This SNP was predicted to modify transcription factor sites and overlaps with several QTL for feed efficiency traits. In addition, coexpression network analyses showed that animals containing the T allele of the rs137256008 SNP may be triggering changes in the gene network. Therefore, our analyses reinforce and contribute to a better understanding of the biological mechanisms underlying gene expression control of feed efficiency traits in bovines. The cis-regulatory SNP can be used as biomarker for feed efficiency in Nelore cattle.
650 $aGene expression
650 $aQuantitative trait loci
650 $aSingle nucleotide polymorphism
650 $aTranscription (genetics)
650 $aTranscription factors
650 $aGado Nelore
653 $aCofatores de transcrição
653 $aExpressão gênica
653 $aFatores de transcrição
653 $aLoci de característica quantitativa
653 $aNelore cattle
653 $aPolimorfismos de nucleotídeo único
700 1 $aBRUSCADIN, J. J.
700 1 $aAFONSO, J.
700 1 $aPETRINI, J.
700 1 $aANDRADE, B. G. N.
700 1 $aOLIVEIRA, P. S. N. de
700 1 $aMALHEIROS, J. M.
700 1 $aROCHA, M. I. P.
700 1 $aZERLOTINI NETO, A.
700 1 $aFERRAZ, J. B. S.
700 1 $aMOURÃO, G. B.
700 1 $aCOUTINHO, L. L.
700 1 $aREGITANO, L. C. de A.
773 $tMammalian Genome$gv. 33, n. 4, p. 619-628, Dec. 2022.
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Embrapa Agricultura Digital (CNPTIA) |
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