Use this URL to cite or link to this record in EThOS:
Title: Genotypic adaptation of Indian groundnut cultivation to climate change : an ensemble approach
Author: Ramirez Villegas, Julian Armando
ISNI:       0000 0004 5358 6850
Awarding Body: University of Leeds
Current Institution: University of Leeds
Date of Award: 2014
Availability of Full Text:
Access from EThOS:
Access from Institution:
Climate change has been projected to significantly affect agricultural productivity and hence food availability during the 21st century, with particularly negative effects across the global tropics. However, the uncertainty associated with projecting climate change impacts is a barrier to agricultural adaptation. The work reported in this thesis is a contribution to the understanding of genotypic adaptation to near-term (i.e. 2030s) climate change and many of the associated uncertainties, using model ensembles. This work focuses on Indian groundnut and uses the General Large Area Model for annual crops (GLAM) and the EcoCrop niche model to investigate the response of groundnut under future climate scenarios, and to develop a genotypic adaptation strategy. Under the future representative concentrations pathway (RCP) 4.5, robust positive climate change impacts on crop productivity were found in 3 (western, northern and south-eastern) out of 5 groundnut growing regions. From the remainder of regions, one presented robust negative impacts and in the other uncertainties precluded a robust statement being made about productivity changes. Yield gains were associated with seasonal precipitation increases, a lower frequency of occurrence of terminal drought and its effect on cropping season length. Yield loss in central India was associated with less radiation interception and reductions in crop duration, whereas in the south there was large uncertainty due to temperature biases in GCMs triggering (or not) heat stress during anthesis. The latter result suggests that decisions of whether to correct or not GCM biases and the method of correction may be at least as important as the choice of climate scenario, or the choice of crop model parameters. Adaptation simulations indicated that the most critical traits for groundnut adaptation under future scenarios are increases in maximum photosynthetic rates, greater partitioning to seeds and, where enough soil moisture is available, also increases in the maximum transpiration rate. Changes to crop duration were beneficial if durations did not exceed those of the baseline, and hence allowed for enough water uptake at the end of the cropping season. Yield gains in adaptation scenarios were particularly large in eastern and northern India, and more moderate across the rest of the country.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available