Abstract
The effects of individual climatic elements on crop growth during distinct phases of plant development can be quantified allowing the calibration of mechanistic numerical models of crop growth. Such models give greater understanding of how different climatic factors interact to determine crop yield and have several uses including the prediction of where previously untested crops might be grown and of how changes in climate in specific regions could affect crop growth and yield there. In this chapter, we focus on lentil (Lens culinaris). Firstly, we describe LENMOD a lentil crop growth model developed in Canterbury, New Zealand (NZ). Secondly, we give details of a case study of validation of the model in the United Kingdom (UK) and its use to predict crop growth and seed yield of spring and autumn sown lentils in eight sites along a transect from NW Scotland to SE England chosen to encompass important environmental gradients in the UK.
Finally, we use LENMOD to predict the likely effects of increased temperature and increased soil moisture deficits (the two most likely long-term effects of climate change in Canterbury, NZ) on lentil growth and yield in Canterbury, NZ.It is concluded that lentil has considerable potential as a grain legume crop in the UK while yields of lentil in NZ are likely to increase slightly in response to predicted climate change.
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McKenzie, B.A., Andrews, M. (2010). Modelling Climate Change Effects on Legume Crops: Lenmod, a Case Study. In: Yadav, S., Redden, R. (eds) Climate Change and Management of Cool Season Grain Legume Crops. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3709-1_2
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DOI: https://doi.org/10.1007/978-90-481-3709-1_2
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