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. 2019 Jun 27;6:101. doi: 10.1038/s41597-019-0084-8

Online-only Table 3.

Selected crop-specific yield models and coefficients.

Crop Variable Coefficients
Constant Term GDD Prec Irr VF KDD34 slgt10 slgt30 awc GDD2 Prec2 GDD*Prec Prec*Irr
Barley 6.649962 −2.86163 1.956107 0.211724 ns ns 0.367577 ns ns xxx −1.207921 −1.962384 −1.283324
Cassava 19.16283 0.666753 −7.958917 8.454535 ns −5.187399 ns ns ns 4.660226 ns −7.958917 ns
Maize 8.248736 −2.447709 0.365055 0.680522 ns ns ns −1.132499 ns ns ns −0.890061 ns
Oil palm 17.124405 ns ns ns ns ns ns 5.247929 ns ns ns 0.070376 ns
Rapeseed 2.812388 ns −0.837681 xxx 0.509829 xxx −0.852301 −0.900022 0.0194 −0.456553 0.07705 ns 0.043222
Rice 7.265925 −0.767782 −1.664991 0.259963 0.228184 −1.067667 ns ns ns ns 0.192307 ns 0.06965
Sorghum 6.3906 −3.320566 0.343852 1.197672 0.223015 ns ns ns 0.119473 ns ns −1.490304 ns
Soybean 3.538115 −0.480592 ns 0.180917 ns ns ns ns ns −0.249019 0.011759 −0.17576 −0.494005
Sugarcane 81.3797 −28.75697 ns ns −12.95342 −21.70054 ns ns 0.306826 8.925447 5.231338 −23.47809 8.766958
Wheat 6.432947 −1.893532 1.601218 0.186331 0.556901 ns ns −1.23728 ns ns 0.149179 −1.310299 −1.15477

Cells with value of “ns” indicated variable was not selected for corresponding crop-specific yield model. Abbreviations are as follows: GDD - annual growing degree days, Prec - mean annual precipitation, Irr - fraction irrigated, VF - temp of coldest month in a binary variable of 1 if coldest month of the year is between −8 °C and +5 °C or 0 if not, KDD34 - number of days with temp >34 °C, slgt10 - slope datasets to identify percent of 10 km cell greater than 10%, slgt30 - slope datasets to identify percent of 10 km cell greater than 30%, awc - soil water holding capacity for top 20 cm.