Login | Request Account (DAF staff only)

A peanut simulation model: I. Model development and testing

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Hammer, G. L., Sinclair, T. R., Boote, K. J., Wright, G. C., Meinke, H. and Bell, M. J. (1995) A peanut simulation model: I. Model development and testing. Agronomy Journal, 87 (6). pp. 1085-1093. ISSN 1435-0645

Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link.

Article Link: https://doi.org/10.2134/agronj1995.000219620087000...


A biophysically robust crop simulation model can assist industry planning and farmer decision-making via simulation analyses to quantify production potential and production risks. Accordingly, we developed a simple, yet mechanistic peanut simulation model for use in assessing climatic risks to production potential for both irrigated and dryland conditions. The model simulates pod yield, biomass accumulation, crop leaf area, phenology, and soil water balance and is suitable for application over a diverse range of production environments. The model uses a daily time step, utilizes readily available weather and soil information, and assumes no nutrient limitations. The model was tested on numerous data from experiments spanning a broad range of environments in the tropics and subtropics. The model performed satisfactorily, accounting for 89% of the variation in pod yield on data sets derived from independent experiments, which included crops yielding from 1 to 71 t ha−1. Limitations of the model and aspects requiring better understanding to improve quantification are discussed. Despite some limitations, the model attains a useful degree of predictive skill for a broad range of situations and environments. This outcome is testimony to the utility of the simple, generic framework used as the basis for this model. The model is suitable for simulation studies aimed at assisting industry planning and farmer decision-making.

Item Type:Article
Subjects:Science > Statistics > Simulation modelling
Plant culture > Food crops
Live Archive:14 Feb 2024 01:18
Last Modified:14 Feb 2024 01:18

Repository Staff Only: item control page