A cross-scale model coupling approach to simulate the risk-reduction effect of natural adaptation on soybean production under climate change

Abstract

This study establishes a procedure to couple Decision Support System for Agrotechnology Transfer (DSSAT) and China Agro-ecological Zone model (AEZ-China). This procedure enables us to quantify the effects of two natural adaptation measures on soybean production in China, concern on which has been growing owing to the rapidly rising demand for soybean and the foreseen global

Responses of soybean to water stress and supplemental irrigation in upper Indo-Gangetic plain: Field experiment and modeling approach

“…Evaluating new genetic resources in the field under different agroclimatic conditions however requires a lot of resources (time, labor, money), but can be aided by crop simulation models. Crop models have been used in the past for estimating potential production of crops (Van Wart et al, 2013;Espe et al, 2016;Morell et al, 2016); in yield gap analysis, to determine and correct factors that can increase actual crop yield (Bhatia et al, 2006;van Ittersum et al, 2013;Grassini et al, 2013Grassini et al, , 2015Zhang et al, 2016), in decision support (Guillaume et al, 2016;Robert et al, 2016), on climate change impact and adaptation assessments (Aggarwal et al, 2009;Rosenzweig et al, 2014;Kumar et al, 2014;Kumar et al, 2016;Boote et al, 2016;Gummadi et al, 2016;Fan et al, 2017;Fodor et al, 2017;Martre et al, 2017;Lobell and Asseng, 2017), among others. Soybean growth and its responses to water stress had been simulated using crop models (Dietzel et al, 2016;Battisti et al, 2017;Giménez et al, 2017).…”