E3S Web Conf.
Volume 161, 2020International Conference on Efficient Production and Processing (ICEPP-2020)
|Number of page(s)||5|
|Published online||15 April 2020|
- H.A. Aguirre-Villegas, R.A. Larson, Evaluating greenhouse gas emissions from dairy manure management practices using survey data and lifecycle tools, Journal of cleaner Production, 143, 169-179 (2017). [Google Scholar]
- L. Bava, M. Zucali, A. Sandrucci, et al., Environmental impact of the typical heavy pig production in Italy, Journal of cleaner Production, 140, 685-691 (2017). [Google Scholar]
- S. Calsamiglia, S. Astiz, J. Baucells, L. Castillejos, A stochastic dynamic model of a dairy farm to evaluate the technical and economic performance under different scenarios, Journal of dairy science, 101, 8, 7517-7530 (2018). DOI: 10.3168/jds.2017-12980. [CrossRef] [PubMed] [Google Scholar]
- M.J. Carabano, B. Logar, J. Bormann, et al., Modeling heat stress under different environmental conditions, Journal of dairy science, 99, 5, 3798-3814 (2016). [CrossRef] [PubMed] [Google Scholar]
- H.I. Cobuloglu, I.E. Bueyuektahtakin, Food vs. biofuel: An optimization approach to the spatio-temporal analysis of land-use competition and environmental impacts, Applied Energy, 140, 418-434 (2015). [Google Scholar]
- F.C. Cowley, D.G. Barber, A.V. Houlihan, et al., Immediate and residual effects of heat stress and restricted intake on milk protein and casein composition and energy metabolism, Journal of dairy science, 98 (4), 2356-2368 (2015). [CrossRef] [PubMed] [Google Scholar]
- R. Das, L. Sailo, N. Verma, et al., Impact of heat stress on health and performance of dairy animals: A review, Veterinary World, 9, 3, 260-268 (2016). [CrossRef] [PubMed] [Google Scholar]
- D. Divyalakshmi, N. Kumaravelu, B.S.M. Ronald, S.M. Sundaram, T.T. Vanan, Assessment of microclimate and gaseous pollutants in dairy and pig sheds in an organized farm, Indian Journal of animal sciences, 87, 6, 93-96 (2017). [Google Scholar]
- E. Dumont, Impact of the treatment of NH3 emissions from pig farms on greenhouse gas emissions, Quantitative assessment from the literature data, New Biotechnology, 46, 31-37 DOI: 10.1016/j.nbt.2018.06.001 (2018) [CrossRef] [PubMed] [Google Scholar]
- J.B. Ferreira, H. Grgic, R. Friendship, E. Nagy, Z. Poljak, Influence of microclimate conditions on the cumulative exposure of nursery pigs to swine influenza, A viruses, Transboundary and Emerging Diseases, 65, 1, e145-e154 (2018). DOI: 10.1111/tbed.12701. [CrossRef] [PubMed] [Google Scholar]
- O.D. Frutos, G. Quijano, R. Perez, et al., Simultaneous biological nitrous oxide abatement and wastewater treatment in a denitrifying off-gas bioscrubber, Chemical Engineering Journal, 288, 28-37 (2016). [CrossRef] [Google Scholar]
- E. Gernand, S. Konig, C. Kipp, Influence of on-farm measurements for heat stress indicators on dairy cow productivity, female fertility, and health, Journal of dairy science, 102, 7, 6660-6671 (2019). DOI: 10.3168/jds.2018-16011. [CrossRef] [PubMed] [Google Scholar]
- T. Kaufmann, Sustainable livestock production: Low emission farm - The innovative combination of nutrient, emission and waste management with special emphasis on Chinese pig production, Animal Nutrition, 1, 3 104-112. DOI: 10.1016/j.aninu.2015.08.001 (2015) [CrossRef] [Google Scholar]
- E. Kino, R. Kawakami, T. Minamino, Y. Mikurino, Y. Horii, K. Honkawa, Y. Sasaki, Exploration of factors determining milk production, Holstein cows raised on a dairy farm in a temperate climate area, Tropical Animal Health and Production, 51 (3), 529-536 (2019). DOI: 10.1007/s11250-018-1720-6. [CrossRef] [PubMed] [Google Scholar]
- N.S. Lewis, C.A. Russell, P. Langat, et al., The global antigenic diversity of swine influenza A viruses Group, Author(s): ESNIP3 Consortium, ELIFE, 5, e12217 (2016). [Google Scholar]
- F. Liu, C. Fiencke, J. Guo, et al., Bioscrubber treatment of exhaust air from intensive pig production: Case study in northern Germany at mild climate condition, Engineering in life sciences, 17, 4, 458-466 (2017). [PubMed] [Google Scholar]
- L. Loyon, C.H. Burton, T. Misselbrook, et al., Best available technology for European livestock farms: Availability, effectiveness and uptake, Journal of Environmental Management, 166, 1-11 (2016) [CrossRef] [PubMed] [Google Scholar]
- L. Loyon, P. Dupard, P. Saint-Cast, et al., Assessment of NH3 reduction and N2O production during treatment of exhausted air from fattening pigs building by a commercial scrubber. Agricultural Sciences, 7 (10), 693-709 (2016). [CrossRef] [Google Scholar]
- M. Mellado, R. Lopez, A. de Santiago, et al., Climatic conditions, twining and frequency of milking as factors affecting the risk of fetal losses in high-yielding, Holstein cows in a hot environment, Tropical Animal Health and Production, 48, 6, 1247-1252 (2016). [CrossRef] [PubMed] [Google Scholar]
- A. Purdy, P.B. Pathare, Y. Wang, A.P. Roskilly, Y. Huang, Towards sustainable farming: Feasibility study into energy recovery from bio-waste on a small-scale dairy farm, Journal of Cleaner Production, 174, 899-904 (2018). DOI: 10.1016/j.jclepro.2017.11.018. [Google Scholar]
- G.N. Samarin, A.N. Vasilyev, A.S. Dorokhov, A.K.Mamahay, A.Y. Shibanov, Optimization of Power and Economic Indexes of a Farm for the Maintenance of Cattle, In: P. Vasant, I. Zelinka, G.W. Weber (eds), Intelligent Computing and Optimization, ICO 2019, Advances in Intelligent Systems and Computing, Springer, Cham, 1072, 679-689 (2020). DOI: 10.1007/978-3-030-33585-4_66. [Google Scholar]
- G.N. Samarin, A.N. Vasilyev, A.A. Zhukov, S.V. Soloviev, Optimization of Microclimate Parameters Inside Livestock Buildings, In: P. Vasant, I. Zelinka, G.W. Weber (Eds), Intelligent Computing & Optimization, ICO 2018, Advances in Intelligent Systems and Computing, Springer, Cham, 866 (2018). [Google Scholar]
- C. Wenke, J. Pospiech, T. Reutter, B. Altmann, U. Troyen, S. Speck, Impact of different supply air and recirculating air filtration systems on stable climate, animal health, and performance of fattening pigs in a commercial pig farm, PLOS ONE, 13, 3 (2018). DOI: 10.1371/journal.pone.0194641. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.