The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Abstract

The data set contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat crop models and quantify the impact of heat on global wheat yield productivity. It includes two spring wheat cultivars grown during two consecutive winter cropping cycles at hot, irrigated, and low latitude sites in Mexico (Ciudad Obregon and Tlaltizapan), Egypt (Aswan), India (Dharwar), the Sudan (Wad Medani), and Bangladesh (Dinajpur). Experiments in Mexico included normal (November-December) and late (January-March) sowing dates. Data include local daily weather data, soil characteristics and initial soil conditions, crop measurements (anthesis and maturity dates, anthesis and final total above ground biomass, final grain yields and yields components), and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models. All data are available via DOI 10.7910/DVN/CJJBSR.

Nocturnal stomatal conductance in wheat is growth‐stage specific and shows genotypic variation

“…For a recent review, see Moore et al (2021). These increases in T min are having a greater impact on yield than daily maximum temperatures (T max ;Cossani & Reynolds, 2013;Martre et al, 2017). However, little consideration has been given to g sn at different stages of development.…”

Exploring high temperature responses of photosynthesis and respiration to improve heat tolerance in wheat

“…An example of the global trend can be seen in Australia, where rising temperatures accounted for 17% of the observed 27% decline in average wheat yield potential between 1990 and 2015 (Hochman et al, 2017). Increases in both mean daily maximum and minimum temperatures drive these high temperature-induced yield declines (Hunt et al, 2018), with mean daily minimum temperatures exerting a proportionally greater influence on grain yields than mean daily maximums (Cossani and Reynolds, 2013;Martre et al, 2017).…”

Evidence for increasing global wheat yield potential

“…In step 1, detailed crop growth data [15,20] were provided to the modeling groups for five seasons at Valdivia, Chile (2008-2009, 2009-2010, 2012-2013, 2013-2014, and 2014-2015), one season at Buenos Aires, Argentina (2009-2010), and four seasons at Ciudad Obregon, Mexico (2009-2010, 1990-1991, 2015-2016 and 2016-2017) to give a total of ten site-year-treatment combinations with which to calibrate the models for the check cultivar Bacanora. The data at Ciudad Obregon, Mexico in 1990-1991 were obtained from a previous AgMIP study [26,64]. Values for each season consisted of the mean of three replicated plots where the wheat crops were grown with ample N supply, full irrigation, and agronomic practices to reach potential yield for the local soil and weather conditions.…”