Lehtonen, H. (2016). Evaluating competitiveness of clover-grass as a resilient feed production option in Finland (Vol. 9 C6 -).
Abstract: Clover-grasses address the following objectives:– Decreased input use (N-fertilization), reduced dependency ofinorganic N => reduced GHG emissions– Possibility for increased protein content of silage, reduceddependency on purchased protein feed supplement (homegrown proteins, resilience)© Natural Resources Institute Finland– Better utilisation of farmland in the context of climate changein the north: Higher T – improved N fixation– Compatible with sustainable agriculture and sustainableintensification: more output with the same inputs / the sameoutput with reduced (non-renewable) inputs• In contrast: Shifting to silage maize increases N fertilisation– Major shift from grasslands to silage maize in e.g. Denmark 1. Small cost reductions in clover-grass cultivation, or clover-grasspremiums, may or may not increase clover cultivation- Their effectiveness is uncertain and subject to prices2. N tax is effective, but is not a suitable policy action in currentfinancial situation of farms (milk crisis 2015-2016)3. However, the results suggest that a 25% higher N price lead to© Natural Resources Institute Finlandsignificantly higher clover grass area and a small reduction ínmilk output – with no cost reductions or extra premiums!4. To increase clover cultivation, price ratios should be adjusted!5. If increasing clover -grass yield, a robust increase in clovergrass areas may realise, with small benefits for farm economyand overall production – How much more clover grass yieldcould be attained at low costs? A topic for further discussionand analysis
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Liu, X., Lehtonen, H., Purola, T., Pavlova, Y., & Rötter, R. P., T. (2014). Dynamic economic modelling of crop rotation with adaptation practices..
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Lehtonen, H., Rötter, R., & T., P. (2013). Farm level analysis as a key to integrated regional case studies in Finland..
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Lehtonen, H., Liu, X., & Purola, T. (2014). Endogenising yield development through management and crop rotation decisions in dynamic farm level modeling..
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Lehtonen, H., Liu, X., & Purola, T. (2015). Balancing Climate Change Mitigation and Adaptation with Socio-Economic Goals at Farms in Northern Europe. In A. Paloviita, & M. Järvelä (Eds.),. Climate Adaptation, Policy and Food Supply Chain Management in Europe. Routledge.
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