The APSIM (Agricultural Production Systems sIMulator) model was used to assess the impact of climate change on sorghum production in the semi arid low lands of Machakos County under three future scenarios of climate change (2010-2039, 2040-2069 and 2070-2099) using two Representative Concentration Pathways (RCPs): RCP 4.5 and RCP 8.5. The APSIM model was calibrated and evaluated using field experimental data obtained from a two-year experiment (2014 to 2015) of sorghum parameters carried out at Kenya Agricultural and Livestock Research Organization (KALRO) in Katumani. Model evaluation shows that APSIM sorghum model was capable in quantifying the response of sorghum to nitrogen (N). The values of root mean square error obtained were low for all the sorghum parameters studied. Higher values of modified index of agreement showed more precise simulation of total biomass and grain yield. The observed and simulated sorghum parameters for both cultivars during the long and short growing seasons depicted good correlation with r2values ranging between 45 % and 99%. Across all the GCMs projected mean changes on phenological dates (days to 50% flowering and physiological maturity) showed a consistent decline for both sorghum varieties during the long and short growing seasons with the application of different rates of fertilizer. These trends were more manifested in the RCP8.5 than RCP4.5 and in the end century (2071-2100) of the simulation. With the RCP8.5 flowering dates reduced by 24 and 28 days and the crop cycle duration shrinked by 35 and 38 days in the end century (2071-2100) for gadam and seredo, respectively. There was slight increase or decrease in biomass for both varieties under climate change with no fertilizer application. However, with application of 50kgha-1N, there was a slight increase of biomass. It has been noted that under changing climate sorghum grain yields will constantly increase for both cultivars over the three future time periods with almost 85.3% increase as we approach the end of the century (2070-2099). The extent of yield change was higher for seredo than for gadam.
Assessment of Climate Change Impact on Sorghum Production in Machakos County
E. Bosire,Fredrick Karanja,G. Ouma,W. Gitau
Published 2018 in Sustainable Food Production
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
Sustainable Food Production
- Publication date
2018-11-01
- Fields of study
Agricultural and Food Sciences, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- apsim model
A crop simulation model used here to represent sorghum growth and yield responses under climate and fertilizer scenarios.
Aliases: APSIM, Agricultural Production Systems sIMulator
- biomass
The total sorghum plant mass accumulated above ground and evaluated as a model output.
Aliases: total biomass
- climate change scenario
The future climate projection settings used to drive the simulations across multiple time periods.
Aliases: future scenario, future climate scenario
- grain yield
The harvested sorghum grain output analyzed as a simulated and observed outcome in the study.
Aliases: yield
- modified index of agreement
A goodness-of-fit statistic used to assess agreement between simulated and observed sorghum outputs.
Aliases: MIA
- phenological date
A developmental timing point for sorghum, including flowering and physiological maturity dates.
Aliases: phenology date, phenology timing
- representative concentration pathway
A greenhouse-gas concentration trajectory used to define the future climate forcing in the simulations.
Aliases: RCP
- root mean square error
An error metric used to compare simulated sorghum outputs with observed field measurements.
Aliases: RMSE
- sorghum cultivar
A sorghum variety modeled in the simulations, including gadam and seredo.
Aliases: variety, cultivar
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