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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
28/09/2016 |
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Data da última atualização: |
27/10/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ARAÚJO, L. G.; FIGUEIREDO, C. C.; SOUSA, D. M. G. de. |
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Afiliação: |
UnB; UnB; DJALMA MARTINHAO GOMES DE SOUSA, CPAC. |
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Título: |
Gypsum application increases the carbon stock in soil under sugar cane in the Cerrado region of Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Soil Research, v. 55, n. 1, p. 38-46, 2017. |
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DOI: |
http://dx.doi.org/10.1071/SRI5219 |
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Idioma: |
Português |
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Conteúdo: |
Abstract: Gypsum is widely used in agriculture in the Cerrado region of Brazil to increase root volume and distribution in the profile of predominantly acidic soils with high aluminium toxicity. The gypsum-induced increase in the root system may be an effective strategy to increase sequestration of atmospheric CO2. However, few studies have investigated the relationship between the use of gypsum and carbon accumulation in the soil under sugar cane. In the present study, total carbon stock (TC) in the soil and its fractions were estimated after four growing seasons of sugar cane under gypsum application. The experiment was arranged in a randomised block design with four replicates and two treatments: control (0 Mg ha(-1)) and the technically recommended rate of gypsum application (5 Mg ha(-1)). Sugarcane stalk biomass and straw production were evaluated in plant cane and three ratoon crops. Soil samples were taken after evaluation of the third ratoon from seven layers (0-5, 5-10, 10-20, 20-40, 40-60, 60-80 and 80-100 cm) to determine organic carbon, TC, particulate carbon (PC) and bulk density. Gypsum increased TC by 5.4 and 4.4 Mg ha(-1) in the 0-100 and 40-100 cm layers respectively. The PC pool in the 40-100 cm layer was increased by 18.4%, whereas the carbon stock associated with mineral increased by 6.8% with gypsum application. Of the total increase in C stocks resulting from gypsum application, 80% occurred in the 40-100 cm layer. |
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Palavras-Chave: |
Reservatório de carbono. |
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Thesagro: |
Biomassa; Carbono; Colheita; Solo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02091naa a2200217 a 4500
001 2053662
005 2017-10-27
008 2017 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1071/SRI5219$2DOI
100 1 $aARAÚJO, L. G.
245 $aGypsum application increases the carbon stock in soil under sugar cane in the Cerrado region of Brazil.
260 $c2017
520 $aAbstract: Gypsum is widely used in agriculture in the Cerrado region of Brazil to increase root volume and distribution in the profile of predominantly acidic soils with high aluminium toxicity. The gypsum-induced increase in the root system may be an effective strategy to increase sequestration of atmospheric CO2. However, few studies have investigated the relationship between the use of gypsum and carbon accumulation in the soil under sugar cane. In the present study, total carbon stock (TC) in the soil and its fractions were estimated after four growing seasons of sugar cane under gypsum application. The experiment was arranged in a randomised block design with four replicates and two treatments: control (0 Mg ha(-1)) and the technically recommended rate of gypsum application (5 Mg ha(-1)). Sugarcane stalk biomass and straw production were evaluated in plant cane and three ratoon crops. Soil samples were taken after evaluation of the third ratoon from seven layers (0-5, 5-10, 10-20, 20-40, 40-60, 60-80 and 80-100 cm) to determine organic carbon, TC, particulate carbon (PC) and bulk density. Gypsum increased TC by 5.4 and 4.4 Mg ha(-1) in the 0-100 and 40-100 cm layers respectively. The PC pool in the 40-100 cm layer was increased by 18.4%, whereas the carbon stock associated with mineral increased by 6.8% with gypsum application. Of the total increase in C stocks resulting from gypsum application, 80% occurred in the 40-100 cm layer.
650 $aBiomassa
650 $aCarbono
650 $aColheita
650 $aSolo
653 $aReservatório de carbono
700 1 $aFIGUEIREDO, C. C.
700 1 $aSOUSA, D. M. G. de
773 $tSoil Research$gv. 55, n. 1, p. 38-46, 2017.
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Registro original: |
Embrapa Cerrados (CPAC) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Semiárido. |
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Data corrente: |
21/09/2020 |
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Data da última atualização: |
22/09/2020 |
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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: |
RIBEIRO, R. S.; RODRIGUES, J. P. P.; MAURÍCIO, R. M.; BORGES, A. L. C. C.; REIS E SILVA, R.; BERCHIELLI, T. T.; VALADARES FILHO, S. C.; MACHADO, F. S.; CAMPOS, M. M.; FERREIRA, A. L.; GUIMARAES JUNIOR, R.; AZEVÊDO, J. A. G.; SANTOS, R. D. dos; TOMICH, T. R.; PEREIRA, L. G. R. |
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Afiliação: |
FERNANDA SAMARINI MACHADO, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; ROBERTO GUIMARAES JUNIOR, CPAC; RAFAEL DANTAS DOS SANTOS, CPATSA; THIERRY RIBEIRO TOMICH, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL. |
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Título: |
Predicting enteric methane production from cattle in the tropics. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Animal, 2020. |
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Páginas: |
15 p. |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Accurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-out cross-validation. The Intergovernmental Panel on Climate Change (2006) Tier 2 method performed better for GEN and GCNL than LAC and overpredicted CH4 production for all datasets. Increasing complexity of the newly developed models resulted in greater performance. The GCNL had a greater number of equations with expanded possibilities to correct for diet characteristics such as EE and NDF concentrations and dietary proportion of concentrate. For the LAC dataset, equations based on intake and animal characteristics were developed. The equations developed in the present study can be useful for accurate and precise estimation of CH4 emissions from cattle in tropical conditions. These equations could improve accuracy of greenhouse gas inventories for tropical countries. The results provide a better understanding of the dietary and animal characteristics that influence the production of enteric CH4 in tropical production systems. MenosAccurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-o... Mostrar Tudo |
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Palavras-Chave: |
Carne bovina; Emissões gases. |
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Thesagro: |
Bovino; Carne; Digestibilidade; Efeito Estufa; Gado; Gado Leiteiro; Gás; Laticínio; Metano; Nutrição Animal. |
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Thesaurus NAL: |
Animal nutrition; Dairy cattle. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03649naa a2200469 a 4500
001 2125038
005 2020-09-22
008 2020 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, R. S.
245 $aPredicting enteric methane production from cattle in the tropics.$h[electronic resource]
260 $c2020
300 $a15 p.
520 $aAccurate estimates of methane (CH4) production by cattle in different contexts are essential to developing mitigation strategies in different regions. We aimed to: (i) compile a database of CH4 emissions from Brazilian cattle studies, (ii) evaluate prediction precision and accuracy of extant proposed equations for cattle and (iii) develop specialized equations for predicting CH4 emissions from cattle in tropical conditions. Data of nutrient intake, diet composition and CH4 emissions were compiled from in vivo studies using open-circuit respiratory chambers, SF6 technique or the GreenFeed® system. A final dataset containing intake, diet composition, digestibility and CH4 emissions (677 individual animal observations, 40 treatment means) obtained from 38 studies conducted in Brazil was used. The dataset was divided into three groups: all animals (GEN), lactating dairy cows (LAC) and growing cattle and non-lactating dairy cows (GCNL). A total of 54 prediction equations available in the literature were evaluated. A total of 96 multiple linear models were developed for predicting CH4 production (MJ/day). The predictor variables were DM intake (DMI), gross energy (GE) intake, BW, DMI as proportion of BW, NDF concentration, ether extract (EE) concentration, dietary proportion of concentrate and GE digestibility. Model selection criteria were significance (P < 0.05) and variance inflation factor lower than three for all predictors. Each model performance was evaluated by leave-one-out cross-validation. The Intergovernmental Panel on Climate Change (2006) Tier 2 method performed better for GEN and GCNL than LAC and overpredicted CH4 production for all datasets. Increasing complexity of the newly developed models resulted in greater performance. The GCNL had a greater number of equations with expanded possibilities to correct for diet characteristics such as EE and NDF concentrations and dietary proportion of concentrate. For the LAC dataset, equations based on intake and animal characteristics were developed. The equations developed in the present study can be useful for accurate and precise estimation of CH4 emissions from cattle in tropical conditions. These equations could improve accuracy of greenhouse gas inventories for tropical countries. The results provide a better understanding of the dietary and animal characteristics that influence the production of enteric CH4 in tropical production systems.
650 $aAnimal nutrition
650 $aDairy cattle
650 $aBovino
650 $aCarne
650 $aDigestibilidade
650 $aEfeito Estufa
650 $aGado
650 $aGado Leiteiro
650 $aGás
650 $aLaticínio
650 $aMetano
650 $aNutrição Animal
653 $aCarne bovina
653 $aEmissões gases
700 1 $aRODRIGUES, J. P. P.
700 1 $aMAURÍCIO, R. M.
700 1 $aBORGES, A. L. C. C.
700 1 $aREIS E SILVA, R.
700 1 $aBERCHIELLI, T. T.
700 1 $aVALADARES FILHO, S. C.
700 1 $aMACHADO, F. S.
700 1 $aCAMPOS, M. M.
700 1 $aFERREIRA, A. L.
700 1 $aGUIMARAES JUNIOR, R.
700 1 $aAZEVÊDO, J. A. G.
700 1 $aSANTOS, R. D. dos
700 1 $aTOMICH, T. R.
700 1 $aPEREIRA, L. G. R.
773 $tAnimal, 2020.
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