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Katajajuuri, J. - M., Pulkkinen, H., Hietala, S., Järvenranta, K., Virkajärvi, P., Nousiainen, J. I., et al. (2015). A holistic, dynamic model to quantify and mitigate the environmental impacts of cattle farming. Advances in Animal Biosciences, 6(01), 35–36.
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Sándor, R., Ma, S., Acutis, M., Barcza, Z., Ben Touhami, H., Doro, L., et al. (2015). Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change. Advances in Animal Biosciences, 6(01), 49–51.
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Özkan, Ş., Ahmadi, B. V., Bonesmo, H., Østerås, O., Stott, A., & Harstad, O. M. (2015). Impact of animal health on greenhouse gas emissions. Advances in Animal Biosciences, 6(01), 24–25.
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Lessire, F., Hornick, J. L., Minet, J., & Dufrasne, I. (2015). Rumination time, milk yield, milking frequency of grazing dairy cows milked by a mobile automatic system during mild heat stress. Advances in Animal Biosciences, 6(01), 12–14.
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Elliott, J., Müller, C., Deryng, D., Chryssanthacopoulos, J., Boote, K. J., Büchner, M., et al. (2015). The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev., 8(2), 261–277.
Abstract: We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12-15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record.
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