Prediction of voluntary intake and enteric methane emission by dairy heifers in integrated systems
DOI:
https://doi.org/10.17765/2176-9168.2023v16n4e10712Keywords:
Bovinos de leite, Gases de efeito estufa, Mudanças climáticas, Pecuária sustentávelAbstract
To compare the predictions of voluntary intake and enteric methane (CH4) emissions in integrated crop-livestock (ICL) and integrated crop-livestock-forestry (ICLF) systems, a 2 × 2 crossover trial was carried out with eight Girolando heifers divided into two groups according to their live weight (LW) and age. The daily means of total dry matter intake (9.66 and 8.44 kg day-1) and total enteric CH4 emission (9.99 and 8.79 MJ day-1; and 186.68 and 164.30 g day-1) were similar between ICL and ICLF, respectively. The CH4 emission expressed per unit of crude protein intake (CPI) was lower (P<0.001) in the ICLF (8.40 MJ kg CPI-1; 157.00 g kg CPI-1) than in the ICL (10.94 MJ kg CPI-1; 204.37 g kg CPI-1), but per intake unit of total digestible nutrient (TDNI) or non-fiber carbohydrate (NFCI) CH4 emission was higher (P<0.001) in the ICLF system. Significant correlations between forage digestibility and nutrient composition with CH4 emissions per unit of nutrient intake were observed. In conclusion, the daily means of total intake and total enteric methane emissions per heifer did not differ between the ICL and ICLF systems; however, the CH4 emission per nutrient intake depended on the digestibility and nutrient composition of the pasture.References
ABDALLA, A. L.; LOUVANDINI, H.; SALLAM, S. M. A. H.; BUENO, I. C. S.; TSAI, S. M.; FIGUEIRA, A.V.O. In vitro evaluation, in vivo quantification, and microbial diversity studies of nutritional strategies for reducing enteric methane production. Tropical Animal Health and Production v. 44, n. 3, p. 953-964, 2012. DOI: https://doi.org/10.1007/s11250-011-9992-0
ALBUQUERQUE, I.; ALENCAR, A.; ANGELO, C.; AZEVEDO, T.; BARCELLOS, F.; COLUNA, I.; COSTA JÚNIOR, C.; CREMER, M.; PIATTO, M.; POTENZA, R.; QUINTANA, G.; SHIMBO, J.; TSAI, D.; ZIMBRES, B. Análise das emissões brasileiras de gases de efeito estufa e suas implicações para as metas do clima do Brasil 1970–2019. Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa – SEEG8, 2020. Available on: https://www.oc.eco.br/wp-content/uploads/2020/12/OC_RelatorioSEEG2020_final.pdf.
ALVARES, C. A.; STAPE, J. L.; SENTELHAS, P. C.; MORAES, G.; LEONARDO, J.; SPAROVEK, G. Mapa de classificação climática de Köppen para o Brasil. Meteorologische Zeitschrift, v. 22, n. 6, p. 711-728, 2014. Available on: http://www.lerf.eco.br/img/publicacoes/Alvares_etal_2014.pdf
ANKOM. Technology Method 3. In vitro true digestibility using the DAISYP II P incubator, 2020. Available on: http://www.ankom.com/media/documents/IVDMD_0805_D200.pdf
ARCHIMÈDE, H.; EUGÈNE, M.; MARIE-MAGDALEINE, C.; BOVAL, M.; MARTIN, C.; MORGAVI, D. P.; LECOMTE, P.; DOREAU, M. Comparison of methane production between C3 and C4 grasses and legumes. Animal Feed Science and Technology v. 166, p. 59-64, 2011. DOI: https://doi.org/10.1016/j.anifeedsci.2011.04.003
BENAOUDA, M.; GONZÁLEZ-RONQUILLO, M.; APPUHAMY, J. A. D. R. N.; KEBREAB, E.; MOLINA, L. T.; HERRERA-CAMACHO, J.; KU-VERA, J. C.; ÁNGELES-HERNÁNDEZ, J. C.; CASTELÁN-ORTEGA, O. A. Development of mathematical models to predict enteric methane emission by cattle in Latin America. Livestock Science. v. 241, p. 104177, 2020. DOI: https://dx.doi.org/10.1016/j.livsci.2020.104177
BHARANIDHARAN, R.; AROKIYARAJ, S.; KIM, E. B.; LEE, C. H.; WOO, Y. W.; NA, Y.; KIM, D.; KIM, K. H. Ruminal methane emissions, metabolic, and microbial profile of Holstein steers fed forage and concentrate, separately or as a total mixed ration. PLoS ONE v. 13, n. 8, p. e0202446, 2018. DOI: https://doi.org/10.1371/journal.pone.0202446
CAPPELLE, E. R.; VALADARES FILHO, S. C.; SILVA, J. F. C.; CECON, P. R. Estimativas do valor energético a partir de características químicas e bromatológicas dos alimentos. Revista Brasileira de Zootecnia, v. 30, n. 6, p. 1837-1856, 2001. DOI: https://doi.org/10.1590/S1516-35982001000700022
CEPEA - Centro de Estudos Avançados em Economia Aplicada 2020. PIB do agronegócio brasileiro Available on: https://www.cepea.esalq.usp.br/br/pib-do-agronegocio-brasileiro.aspx
COTA, O. L.; FIGUEREDO, D. M.; BRANCO, R. H.; MAGNANI, E.; NASCIMENTO, C. F.; OLIVEIRA, L. F.; MERCADANTE, M. E. Z. Methane emission by Nellore cattle subjected to different nutritional plans. Tropical Animal Health and Production, v. 46, n. 7, p. 1229-1234, 2014. DOI: http://dx.doi.org/10.1007/s11250-014-0632-3
DETMANN, E.; QUEIROZ, A. C.; CABRAL, L.S. Avaliação do nitrogênio total (proteína bruta) pelo método Kjeldahl. In: DETMANN, E.; SOUZA, M. A.; VALADARES FILHO, S. C.; QUEIROZ, A. C.; BERCHIELLI, T. T.; SALIBA, E. O. S.; CABRAL, L. S.; PINA, D. S.; LADEIRA, M. M.; AZEVÊDO, J. A. G. Métodos para análise de alimentos. Instituto Nacional de Ciência e Tecnologia de Ciência Animal. INCT, 2012. Viçosa. 214 p.
DINI, Y.; GERE, J. I.; CAJARVILLE, C.; CIGANDA VERÓNICA, S. Using highly nutritious pastures to mitigate enteric methane emissions from cattle grazing systems in South America. Animal Production Science, v. 58, p. 2329-2334, 2017. DOI: https://doi.org/10.1071/AN16803
ELLIS, J. L.; KEBREAB, E.; ODONGO, N. E.; MCBRIDE, B. W.; OKINE, E. K.; FRANCE, J. 2007. Prediction of methane production from dairy and beef cattle. Journal of Dairy Science, v. 90, n, 7, p. 3456-3466, 2007. DOI: https://doi.org/10.3168/jds.2006-675
FAO. 2020. Background information on Livestock Environmental Assessment and Performance Partnership and technical Advisory Group on Biodiversity. In: Biodiversity and the livestock sector – Guidelines for quantitative assessment – Version 1. Rome, Livestock Environmental Assessment and Performance Partnership (FAO LEAP). DOI: https://doi.org/10.4060/ca9295en
FIGUEIREDO, E. B.; JAYASUNDARA, S.; BORDONAL, R. O.; BERCHIELLI, T. T.; REIS, R. A.; RIDDLE, C. W.; LA SCALA JÚNIOR, L. Greenhouse gas balance and carbon footprint of beef cattle in three contrasting pasture-management systems in Brazil. Journal of Cleaner Production, v. 12, p. 420-431, 2017. DOI: https://doi.org/10.1016/j.jclepro.2016.03.132
FROTA, M. N. L.; CARNEIRO, M. S. S.; PEREIRA, E. S.; BERNDT, A.; FRIGHETTO, R. T. S.; SAKAMOTO, L. S.; MOREIRA FILHO, M. A.; CUTRIM JÚNIOR, J. A.; CARVALHO, G. M. C. Metano entérico de bovinos em pastagem a pleno sol e em sistema silvopastoril na Amazônia. Pesquisa Agropecuária Brasileira, v. 52, n. 11, p. 1099-1108, 2017. DOI: https://doi.org/10.1590/S0100-204X2017001100016
GUIMARÃES, C. G.; RIBEIRO, K. G.; VIANA, M. C. M.; PEREIRA, R. C.; SANTOS, J. B. Capim-braquiária no sistema agrossilvipastoril sob diferentes arranjos de eucalipto. Revista Brasileira de Ciências Agrárias, v. 13, n. 1, p. e5512, 2018. DOI: https://doi.org/10.5039/agraria.v13i1a5512
HAMMOND, K. L.; MUETZEL, S.; WAGHORN, G. C.; PINARES-PATINO, C. S.; BURKE, J. L.; HOSKIN, S. O. The variation in methane emissions from sheep and cattle cannot be explained by the chemical composition of ryegrass. Proceedings of the New Zealand Society of Animal Production, v. 69, p. 174-178, 2009. Available on: http://www.nzsap.org/proceedings/2009/variation-methane-emissions-sheep-and-cattle-not-explained-chemical-composition
HODGSON, J. Grazing Management: Science into Practice Ed. Logman Scientific & Technical, 1990, 203p.
HUHTANEN, P.; RAMIN, M.; HRISTOV, A. N. Enteric methane emissions can be reliably measured using the GreenFeed monitoring unit. Livestock Science, v. 222, p. 31-40, 2019. DOI : http://dx.doi.org/10.1016/j.livsci.2019.01.017
IPCC. Intergovernmental Panel on Climate Change. Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: HIRAISHI, T.; KRUG, T.; TANABE, K.; SRIVASTAVA, N.; BAASANSUREN, J.; FUKUDA, M.; TROXLER, T. G. (Eds.) Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands, IPCC, Switzerland, 2014. Available on: https://www.ipcc.ch/publication/2013-supplement-to-the-2006-ipcc-guidelines-for-national-greenhouse-gas-inventories-wetlands/
KNAPP, J. R.; LAUR, G. L.; VADAS, P. A.; WEISS, W. P.; TRICARICO, J. M. Invited review: Enteric methane in dairy cattle production: Quantifying the opportunities and impact of reducing emissions. Journal of Dairy Science, v. 97, n. 6, p. 3231–3261, 2014. DOI: https://doi.org/10.3168/jds.2013-7234
LAZZARINI, I.; DETMANN, E.; SAMPAIO, C. B. I.; PAULINO, M. F.; VALADARES FILHO, S. C.; SOUZA, M. A.; OLIVEIRA, F. A. Intake and digestibility in cattle fed low-quality tropical forage supplemented with nitrogenous compounds. Revista Brasileira de Zootecnia, v. 38, n. 10, 2021- 2030, 2009.
MACHADO, F. S.; PEREIRA, L. G. R.; GUIMARÃES JÚNIOR, R.; LOPES, F. C. F.; CHAVES, A. V.; CAMPOS, M. M.; MORENZ, M. J. F. Emissões de metano na pecuária: Conceitos, métodos de avaliação e estratégias de mitigação. Juiz de Fora:Embrapa Gado de Leite, 92 (Documentos, 147) ISSN 1516-7453, 2011. Available on: https://www.infoteca.cnptia.embrapa.br/bitstream/doc/895247/1/Doc147EmissoesCH4.pdf
MOMBACH, M. A.; PEDREIRA, B. C.; PEREIRA, D. H.; CABRAL, L. S.; RODRIGUES, R. A. R. Emissão de metano entérico por bovinos: O que sabemos e que podemos fazer? In: Simpósio de pecuária integrada, 2., Sinop-MT. Recuperação de pastagens: anais. Cuiabá: Fundação Uniselva, 181-202p, 2016. Available on: https://www.alice.cnptia.embrapa.br/handle/doc/1060780
MORAES, L. E.; STRATHE, A. B.; FADEL, J. G.; CASPER, D. P.; KEBREAB, E. Prediction of enteric methane emissions from cattle. Global Change Biology, v. 20, n. 7, p. 2140–2148, 2014. DOI: https://doi.org/10.1111/gcb.12471
NATIONAL RESEARCH COUNCIL, NRC. Nutrient requirements of dairy cattle. 7th ed. Washington: National Research Council, 2001, 381p. Available on: https://nap.nationalacademies.org/catalog/9825/nutrient-requirements-of-dairy-cattle-seventh-revised-edition-2001
NUSSIO, L. G.; CAMPOS, F. P.; LIMA, M. L. M. Metabolismo de carboidratos estruturais. In: BERCHIELLI, T. T.; PIRES, A. V.; OLIVEIRA, S. G. Nutrição de Ruminantes. 2 ed. Jaboticabal: Funep, 2011, 193-234p.
OLIVEIRA, L. B. T.; SANTOS, A. C.; ANDRÉ, T. B.; SANTOS, J. G. D.; OLIVEIRA, H. M. R. Influence of a silvopastoral system on anatomical aspects and dry matter quality of mombasa and marandu grasses. Journal of Agriculture and Ecology Research International, v. 13, n. 3, p. 1-11, 2017. Available on: http://www.adaltech.com.br/anais/zootecnia2018/resumos/trab-1727.pdf
OLIVEIRA, P. P. A.; BERNDT, A.; PEDROSO, A. F.; ALVES, T. C.; PEZZOPANE, J. R. M.; SAKAMOTO, L. S.; HENRIQUE, F. L.; RODRIGUES, P. H. M. Greenhouse gas balance and carbon footprint of pasture-based beef cattle production systems in tropical regions (Atlantic Forest biome). Animal, v. 14, n. S3, p. s427- s437, 2020. DOI:
https://doi.org/10.1017/S1751731120001822
PATRA, A. K. Prediction of enteric methane emissions from cattle using linear and non-linear statistical models in tropical production systems. Mitigation and Adaptation Strategies for Global Change, v. 22, n. 4, p. 629-650, 2017. DOI:https://doi.org/10.1007/s11027-015-9691-7
PETERSON, C. A.; EVINER, V. T.; GAUDIN, A. C. M. Ways forward for resilience research in agroecosystems. Agricultural Systems, v. 162, p. 19-27, 2018. DOI: https://doi.org/10.1016/j.agsy.2018.01.011
PEZZOPANE, J. R. M.; BOSI, C.; NICODEMO, M. L. F.; SANTOS, P. M.; CRUZ, P. G.; PARMEJIANI, R. S. Microclimate and soil moisture in the silvopastoral system in southeastern Brazil. Bragantia, v. 74, n. 1, p. 110-119, 2015. DOI: https://doi.org/10.1590/1678-4499.0334
PROHMANN, P. E. F.; BRANCO, A. F.; PARIS, W.; BARRETO, J.C.; MAGALHÃES, V. J. A.; GOES, R. H. T. B.; OLIVEIRA, M. V. M. Método de amostragem e caracterização química da forragem consumida por bovinos em pasto consorciado de aveia e azevém. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 64, n. 4, p. 953-958, 2012. DOI: https://doi.org/10.1590/S0102-09352012000400023
SILVA, F. R. F.; SALMAN, A. K. D.; CRUZ, P. G.; PORTO, M. O.; CAVALI, J.; FERREIRA, E.; SOUZA, E. C.; CARVALHO, G. A. Bromatological composition and ruminal degradability of Xaraés palisade grass under grazing in integrated systems. Acta Scientiarum. Animal Sciences, v. 43, n. 1, p. e53004, 2021. DOI: https://doi.org/10.4025/actascianimsci.v43i1.53004
SNIFFEN, C. J.; O’CONNOR, J. D.; VAN SOEST, P. J.; FOX, D. G.; RUSSELL, J. B. A net carbohydrate and protein system for evaluating cattle diets: II. Carbohydrate and protein availability. Journal of Animal Science, v. 70, n. 11, p. 3562-3577, 1992. DOI: https://doi.org/10.2527/1992.70113562x
SOBRINHO, T. L. P.; BRANCO, R.H.; MAGNANI, E.; BERNDT, A.; CANESIN, R.C.; MARCADANTE, M. E. Z. Development and evaluation of prediction equations for methane emission from Nellore cattle. Acta Scientiarum. Animal Sciences, v. 41, p. e42559, 2019. DOI: https://doi.org/10.4025/actascianimsci.v41i1.42559
SOUZA, E. C.; SALMAN, A. K. D.; CRUZ, P. G.; VEIT, H. M.; CARVALHO, G. A.; SILVA, F. R. F.; SCHMITT, E. Thermal comfort and grazing behavior of Girolando heifers in the ICL and Crop-Livestock-Forest (ICLF) systems. Acta Scientiarum. Animal Sciences,v. 41, p. e46483, 2019. DOI: https://doi.org/10.4025/actascianimsci.v41i1.46483
SOUZA FILHO, W.; NUNES, P. A. A.; BARRO, R. S.; KUNRATH, T. R.; ALMEIDA, G. M.; GENRO, T. C. M.; BAYER, C.; CARVALHO, P. C. F. Mitigation of enteric methane emissions through pasture management in integrated crop-livestock systems: Trade-offs between animal performance and environmental impacts. Journal of Cleaner Production, v. 213, p. 968e975, 2019. DOI: https://doi.org/10.1016/j.jclepro.2018.12.245
WEISS, W.P. Energy prediction equations for ruminant feed. In: Cornell Nutrition Conference for Feed Manufacturers, 61, 1999, Proceedings…, Ithaca: Cornell University, 1991, 176-185p. Available on: https://edisciplinas.usp.br/pluginfile.php/5012801/mod_resource/content/0/weiss%201993.pdf
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