Validation of potato simulation model

Abstract

Aim of the study focused on evaluation of SUBSTOR – Potato model and its utilization in potato grows management in the Czech Republic. The experimental field used for the model evaluation was located in Žabčice – South Moravia region with altitudes of 179 meters above the sea level. Tuber yield served as reference for the model evaluation. Nine years experimental data set (1994–2002) was used for the model validation. Rosara cultivar represented very early growing potato, Karin cultivar depic­ted early growing potato (Solanum tuberosum L.) in the experiment. Comparison between observed and simulated tuber yields presented the evaluation process of SUBSTOR – Potato model. Tuber yields simulated by the model showed excellent accuracy (R2 = 0.97) for Rosara cultivar, but only for four of tested years (1997, 1998, 1999 and 2002). Karin cultivar matched lower value (R2 = 0.43). The model tended to underestimate the tuber yield for non seasonable conditions (i.e. dry years – low amount of precipitation and its disordered distribution during the growing season or higher mean air temperature) and showed the sensitivity to selected cultivars. Study proved SUBSTOR – Potato model as sui­table for utilization in potato management; however, potential differences might be expected while using the model under extreme weather conditions.

Assessing Future Climate Change Impacts on Potato Yields — A Case Study for Prince Edward Island, Canada

“…It is basically used for various agroclimatic conditions and comprises modules that are used to input data, mathematical calculations of the process of growth and development, and, finally, interpretation of the potato simulation outputs [ 3 , 56 ]. The model considers several functions simultaneously to produce the actual structure of the soil–crop–atmospheric dynamic at different potato growth stages [ 75 , 76 , 77 ]. Potato development ( Figure 4 ) occurs in various stages: sprout elongation, emergence, tuber initiation, bulking, and maturity [ 78 ].…”

Climate change impacts on global potato yields: a review

“…For climate change impact assessment using CSMs, different generators of future climate scenarios with representative concentration pathways can be considered based on availability and accessibility [68,86]. IBSNAT (International Benchmark Sites Network for Agrotechnology Transfer) developed DSSAT [25,87,148,[189][190][191][192]. It models the impacts of soil properties, weather, genotype, management practices, water, and nitrogen dynamics [87,148].…”