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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 |
Biblioteca(s): |
Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Semiárido. |
Data corrente: |
21/09/2020 |
Data da última atualização: |
22/09/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Predicting enteric methane production from cattle in the tropics. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Animal, 2020. |
Páginas: |
15 p. |
Idioma: |
Inglês Português |
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 |
Palavras-Chave: |
Carne bovina; Emissões gases. |
Thesagro: |
Bovino; Carne; Digestibilidade; Efeito Estufa; Gado; Gado Leiteiro; Gás; Laticínio; Metano; Nutrição Animal. |
Thesaurus Nal: |
Animal nutrition; Dairy cattle. |
Categoria do assunto: |
-- L Ciência Animal e Produtos de Origem Animal |
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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Registro original: |
Embrapa Cerrados (CPAC) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
03/06/2014 |
Data da última atualização: |
05/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SANTOS, F. C.; FREITAS, A. S.; CASTRO, E. M. de; DAVIDE, L. C.; SOUZA SOBRINHO, F. de; TECHIO, V. H. |
Afiliação: |
FABÍOLA CARVALHO SANTOS, UFLA; ALINE SILVA FREITAS, UFLA; EVARISTO MAURO DE CASTRO, UFLA; LISETE CHAMA DAVIDE, UFLA; FAUSTO DE SOUZA SOBRINHO, CNPGL; VÂNIA HELENA TECHIO, UFLA. |
Título: |
Leaf anatomy and nutritive values of Brachiaria ruziziensis genotypes. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
New Zealand Journal of Agricultural Research, v. 57, n. 2, p. 128-135, 2014. |
Páginas: |
8 p. |
DOI: |
https://doi.org/10.1080/00288233.2014.897237 |
Idioma: |
Inglês |
Conteúdo: |
Relationships between leaf anatomy and nutritive values have been intensively studied in forage plants to optimize crop breeding efforts and to reduce the time and costs involved in genotype selections. We evaluated the associations between the leaf anatomical characteristics and nutritive values of 34 genotypes of Brachiaria ruziziensis during both the rainy (October to March) and dry seasons (April to September). Anatomical characteristics of the median sections of completely expanded leaves were analysed using traditional techniques. High positive correlations (P < 0.05) were observed between in vitro digestibility of the dry material, crude protein and cellulose during both the dry and rainy seasons. The correlations between in vitro digestibility and acid detergent fibre, neutral detergent fibre and lignin fibre were also high and negative in both seasons. There were no apparent correlations between digestibility and the anatomical characteristics of the leaves in either the dry or rainy seasons. |
Palavras-Chave: |
Mesophyll thickness; NDF; Xylem diameter. |
Thesaurus NAL: |
forage; in vitro digestibility; lignin. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01832naa a2200277 a 4500 001 1987561 005 2024-02-05 008 2014 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1080/00288233.2014.897237$2DOI 100 1 $aSANTOS, F. C. 245 $aLeaf anatomy and nutritive values of Brachiaria ruziziensis genotypes.$h[electronic resource] 260 $c2014 300 $a8 p. 520 $aRelationships between leaf anatomy and nutritive values have been intensively studied in forage plants to optimize crop breeding efforts and to reduce the time and costs involved in genotype selections. We evaluated the associations between the leaf anatomical characteristics and nutritive values of 34 genotypes of Brachiaria ruziziensis during both the rainy (October to March) and dry seasons (April to September). Anatomical characteristics of the median sections of completely expanded leaves were analysed using traditional techniques. High positive correlations (P < 0.05) were observed between in vitro digestibility of the dry material, crude protein and cellulose during both the dry and rainy seasons. The correlations between in vitro digestibility and acid detergent fibre, neutral detergent fibre and lignin fibre were also high and negative in both seasons. There were no apparent correlations between digestibility and the anatomical characteristics of the leaves in either the dry or rainy seasons. 650 $aforage 650 $ain vitro digestibility 650 $alignin 653 $aMesophyll thickness 653 $aNDF 653 $aXylem diameter 700 1 $aFREITAS, A. S. 700 1 $aCASTRO, E. M. de 700 1 $aDAVIDE, L. C. 700 1 $aSOUZA SOBRINHO, F. de 700 1 $aTECHIO, V. H. 773 $tNew Zealand Journal of Agricultural Research$gv. 57, n. 2, p. 128-135, 2014.
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