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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
03/09/2008 |
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Data da última atualização: |
29/07/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TEIXEIRA, A. H. de C.; BASTIAANSSEN, W. G. M.; MOURA, M. S. B. de; SOARES, J. M.; AHMAD, M. D.; BOS, M. G. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; W.G.M. Bastiaanssen; MAGNA SOELMA BESERRA DE MOURA, CPATSA; José Monteiro Soares, CPATSA; M.D. Ahmad, IWMI. |
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Título: |
Energy and water balance measurements for water productivity analysis in irrigated mango trees, Northeast Brazil. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, Amsterdam, v. 148, p. 1524-1537, 2008. |
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Idioma: |
Inglês |
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Conteúdo: |
Crop water parameters, including actual evapotranspiration, transpiration, soil evaporation,crop coefficients, evaporative fractions, aerodynamic resistances, surface resistances andpercolation fluxes were estimated in a commercial mango orchard during two growingseasons in Northeast Brazil. The actual evapotranspiration (Ea) was obtained by the eddycovariance (EC) technique, while for the reference evapotranspiration (E0); the FAO Penman–Monteith equation was applied. The energy balance closure showed a gap of 12%. For waterproductivity analysis theEawas then computed with the Bowen ratio determined from theeddy covariance fluxes. The mean accumulatedEafor the two seasons was 1419 mm year1,which corresponded to a daily average rate of 3.7 mm day1. The mean values of the cropcoefficients based on evapotranspiration (Kc) and based on transpiration (Kcb) were 0.91 and0.73, respectively. The single layerKcwas fitted with a degree days function. Twenty percent ofevapotranspiration originated from direct soil evaporation. The evaporative fraction was 0.83on average. The average relative water supply was 1.1, revealing that, in general, irrigationwater supply was in good harmony with the crop water requirements. The resulting evapo-transpiration deficit was 73–95 mm per season only. The mean aerodynamic resistance (ra)was 37 s m1and the bulk surface resistance (rs) was 135 s m1. The mean unit yield was45 tonne ha1being equivalent to a crop water productivity of 3.2 kg m3when based onEawith an economic counterpart of US$ 3.27 m3. The drawback of this highly productive use ofwater resources is an unavoidable percolation flux of approximately 300 mm per growingseason that is detrimental to the downstream environment and water users. MenosCrop water parameters, including actual evapotranspiration, transpiration, soil evaporation,crop coefficients, evaporative fractions, aerodynamic resistances, surface resistances andpercolation fluxes were estimated in a commercial mango orchard during two growingseasons in Northeast Brazil. The actual evapotranspiration (Ea) was obtained by the eddycovariance (EC) technique, while for the reference evapotranspiration (E0); the FAO Penman–Monteith equation was applied. The energy balance closure showed a gap of 12%. For waterproductivity analysis theEawas then computed with the Bowen ratio determined from theeddy covariance fluxes. The mean accumulatedEafor the two seasons was 1419 mm year1,which corresponded to a daily average rate of 3.7 mm day1. The mean values of the cropcoefficients based on evapotranspiration (Kc) and based on transpiration (Kcb) were 0.91 and0.73, respectively. The single layerKcwas fitted with a degree days function. Twenty percent ofevapotranspiration originated from direct soil evaporation. The evaporative fraction was 0.83on average. The average relative water supply was 1.1, revealing that, in general, irrigationwater supply was in good harmony with the crop water requirements. The resulting evapo-transpiration deficit was 73–95 mm per season only. The mean aerodynamic resistance (ra)was 37 s m1and the bulk surface resistance (rs) was 135 s m1. The mean unit yield was45 tonne ha1being equivalent to a crop water productivity of 3.2 kg m3when based... Mostrar Tudo |
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Palavras-Chave: |
Nordeste. |
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Thesagro: |
Água; Colheita; Energia; Evapotranspiração; Irrigação; Manga; Produtividade. |
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Thesaurus Nal: |
Irrigation. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPATSA/38552/1/OPB1841.pdf
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Marc: |
LEADER 02576naa a2200289 a 4500
001 1160138
005 2019-07-29
008 2008 bl uuuu u00u1 u #d
100 1 $aTEIXEIRA, A. H. de C.
245 $aEnergy and water balance measurements for water productivity analysis in irrigated mango trees, Northeast Brazil.
260 $c2008
520 $aCrop water parameters, including actual evapotranspiration, transpiration, soil evaporation,crop coefficients, evaporative fractions, aerodynamic resistances, surface resistances andpercolation fluxes were estimated in a commercial mango orchard during two growingseasons in Northeast Brazil. The actual evapotranspiration (Ea) was obtained by the eddycovariance (EC) technique, while for the reference evapotranspiration (E0); the FAO Penman–Monteith equation was applied. The energy balance closure showed a gap of 12%. For waterproductivity analysis theEawas then computed with the Bowen ratio determined from theeddy covariance fluxes. The mean accumulatedEafor the two seasons was 1419 mm year1,which corresponded to a daily average rate of 3.7 mm day1. The mean values of the cropcoefficients based on evapotranspiration (Kc) and based on transpiration (Kcb) were 0.91 and0.73, respectively. The single layerKcwas fitted with a degree days function. Twenty percent ofevapotranspiration originated from direct soil evaporation. The evaporative fraction was 0.83on average. The average relative water supply was 1.1, revealing that, in general, irrigationwater supply was in good harmony with the crop water requirements. The resulting evapo-transpiration deficit was 73–95 mm per season only. The mean aerodynamic resistance (ra)was 37 s m1and the bulk surface resistance (rs) was 135 s m1. The mean unit yield was45 tonne ha1being equivalent to a crop water productivity of 3.2 kg m3when based onEawith an economic counterpart of US$ 3.27 m3. The drawback of this highly productive use ofwater resources is an unavoidable percolation flux of approximately 300 mm per growingseason that is detrimental to the downstream environment and water users.
650 $aIrrigation
650 $aÁgua
650 $aColheita
650 $aEnergia
650 $aEvapotranspiração
650 $aIrrigação
650 $aManga
650 $aProdutividade
653 $aNordeste
700 1 $aBASTIAANSSEN, W. G. M.
700 1 $aMOURA, M. S. B. de
700 1 $aSOARES, J. M.
700 1 $aAHMAD, M. D.
700 1 $aBOS, M. G.
773 $tAgricultural and Forest Meteorology, Amsterdam$gv. 148, p. 1524-1537, 2008.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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Data corrente: |
16/09/2022 |
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Data da última atualização: |
16/09/2022 |
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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: |
CONGIO, G. F. S.; BANNINK, A.; MAYORGA, O. L.; RODRIGUES, J. P. P.; BOUGOUIN, A.; KEBREAD, E.; SILVA, R. R.; MAURÍCIO, R. M.; SILVA, S. C. DA; OLIVEIRA, P. P. A.; MUÑOZ, C.; PEREIRA, L. G. R.; GÓMEZ, C.; ARIZA-NIETO, C.; RIBEIRO-FILHO, H. M. N.; CASTELÁN-ORTEGA, O. A.; ROSERO-NOGUERA, J. R.; TIERI, M. P.; RODRIGUES, P. H. M.; MARCONDES, M. I.; ASTIGARRAGA, L.; ABARCA, S.; HRISTOV, A. N. |
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Afiliação: |
GUILHERMO F. S. CONGIO, UNIVERSIDADE DE SÃO PAULO; ANDRÉ BANNINK, WAGENINGEN UNIVERSITY & RESEARCH; OLGA L. MAYORGA, COLOMBIAN CORPORATION FOR AGRICULTURAL RESEARCH; JOÃO P. P. RODRIGUES, UNIVERSIDADE FEDERAL DO SUL E SUDESTE DO PARÁ; ADELINE BOUGOUIN, UNIVERSITY OF CALIFORNIA; ERMIAS KEBREAD, UNIVERSITY OF CALIFORNIA; RICARDO R. SILVA, UNIVERSIDADE FEDERAL DE MINAS GERAIS; ROGÉRIO M. MAURÍCIO, UNIVERSIDADE FEDERAL DE SÃO JOÃO DEL REI; SILA C. DA SILVA, UNIVERSIDADE DE SÃO PAULO; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; CAMILA MUÑOZ, INSTITUTO DE INVESTIGACIONES AGROPECUARIAS; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; CARLOS GÓMEZ, NATIONAL AGRARIAN UNIVERSITY LA MOLINA; CLAUDIA ARIZA-NIETO, COLOMBIAN CORPORATION FOR AGRICULTURAL RESEARCH; HENRIQUE M. N. RIBEIRO-FILHO, UNIVERSIDADE ESTADUAL DE SANTA CATARINA; OCTAVIO A. CASTELÁN-ORTEGA, AUTONOMOUS UNIVERSITY OF THE STATE OF MEXICO; JAIME R. ROSERO-NOGUERA, UNIVERSITY OF ANTIOQUIA; MARIA P. TIERI, NATIONAL INSTITUTE OF AGRICULTURAL TECHNOLOGY; PAULO H. M. RODRIGUES, UNIVERSIDADE DE SÃO PAULO; MARCOS I. MARCONDES, WASHINGTON STATE UNIVERSITY; LAURA ASTIGARRAGA, UNIVERSITY OF THE REPUBLIC OF URUGUAY; SERGIO ABARCA, NATIONAL INSTITUTE OF INNOVATION AND AGRICULTURAL TECHNOLOGY TRANSFER; ALEXANDER N. HRISTOV, THE PENNSYLVANIA STATE UNIVERSITY. |
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Título: |
Prediction of enteric methane production and yield in dairy cattle using a Latin America and Caribbean database. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Science of the Total Environment, v. 825, n. 153982, p. 1-11, 2022. |
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ISBN: |
0048-9697 |
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DOI: |
https://doi.org/10.1016/j.scitotenv.2022.153982 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had similar predictive performance to our best-developed models and can be an option for predicting CH4 production from LAC dairy cows. Extant equations were not accurate in predicting CH4 yield. The use of the newly-developed models rather than extant equations based on energy conversion factors, as applied by the IPCC, can substantially improve the accuracy of GHG inventories in LAC countries. MenosABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had... Mostrar Tudo |
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Palavras-Chave: |
Empirical modeling; Enteric methane; Equação de previsão; GHG inventory; Inventário de GEE; Metano entérico; Modelagem empírica; Modelo linear; Prediction equations. |
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Thesagro: |
Dieta; Gado Leiteiro; Metano; Produção; Rendimento. |
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Thesaurus NAL: |
Diet; Linear models. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146525/1/PredictionOfEntericMethaneProductionAndYieldInDairyCattleUsingALatinAmericaAndCaribbeanDatabase.pdf
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Marc: |
LEADER 03612naa a2200601 a 4500
001 2146525
005 2022-09-16
008 2022 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $ahttps://doi.org/10.1016/j.scitotenv.2022.153982$2DOI
100 1 $aCONGIO, G. F. S.
245 $aPrediction of enteric methane production and yield in dairy cattle using a Latin America and Caribbean database.$h[electronic resource]
260 $c2022
520 $aABSTRACT: Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH4 measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH4 emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH4 production (g d−1) and yield [g kg−1 of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated. After removing outliers, the final database retained 34 studies and 610 animal records. Production and yield of CH4 were predicted by fitting mixed-effects models with a random effect of study. Evaluation of developed models and fourteen extant equations was assessed on all-data, confined, and grazing cows subsets. Feed intake was the most important predictor of CH4 production. Our best-developed CH4 production models outperformed Tier 2 equations from the Intergovernmental Panel on Climate Change (IPCC) in the all-data and grazing subsets, whereas they had similar performance for confined animals. Developed CH4 production models that include milk yield can be accurate and useful when feed intake is missing. Some extant equations had similar predictive performance to our best-developed models and can be an option for predicting CH4 production from LAC dairy cows. Extant equations were not accurate in predicting CH4 yield. The use of the newly-developed models rather than extant equations based on energy conversion factors, as applied by the IPCC, can substantially improve the accuracy of GHG inventories in LAC countries.
650 $aDiet
650 $aLinear models
650 $aDieta
650 $aGado Leiteiro
650 $aMetano
650 $aProdução
650 $aRendimento
653 $aEmpirical modeling
653 $aEnteric methane
653 $aEquação de previsão
653 $aGHG inventory
653 $aInventário de GEE
653 $aMetano entérico
653 $aModelagem empírica
653 $aModelo linear
653 $aPrediction equations
700 1 $aBANNINK, A.
700 1 $aMAYORGA, O. L.
700 1 $aRODRIGUES, J. P. P.
700 1 $aBOUGOUIN, A.
700 1 $aKEBREAD, E.
700 1 $aSILVA, R. R.
700 1 $aMAURÍCIO, R. M.
700 1 $aSILVA, S. C. DA
700 1 $aOLIVEIRA, P. P. A.
700 1 $aMUÑOZ, C.
700 1 $aPEREIRA, L. G. R.
700 1 $aGÓMEZ, C.
700 1 $aARIZA-NIETO, C.
700 1 $aRIBEIRO-FILHO, H. M. N.
700 1 $aCASTELÁN-ORTEGA, O. A.
700 1 $aROSERO-NOGUERA, J. R.
700 1 $aTIERI, M. P.
700 1 $aRODRIGUES, P. H. M.
700 1 $aMARCONDES, M. I.
700 1 $aASTIGARRAGA, L.
700 1 $aABARCA, S.
700 1 $aHRISTOV, A. N.
773 $tScience of the Total Environment$gv. 825, n. 153982, p. 1-11, 2022.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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