Information from world soil databases are more and more used for crop modelling, however the affect of such information on simulated crop yield has not been not extensively studied. Correct yield estimation is especially helpful for yield mapping and crop diversification planning. On this article, accessible soil profile information throughout Sri Lanka had been harmonised and in contrast with the info from two world soil databases (Soilgrids and Openlandmap). Their affect on simulated crop (rice) yield was studied utilizing a pre-calibrated Agricultural Manufacturing Techniques Simulator (APSIM) as an exemplar mannequin. To establish probably the most delicate soil parameters, a world sensitivity evaluation was carried out for all parameters throughout three datasets. Totally different soil parameters in each world datasets confirmed considerably (p < 0.05) decrease and better values than noticed values. Nonetheless, simulated rice yields utilizing world information had been considerably (p < 0.05) greater than from noticed soil. Because of the comparatively decrease sensitivity to the yield, all parameters besides soil texture and bulk density can nonetheless be equipped from world databases when noticed information should not accessible. To facilitate the broader software of digital soil information for yield simulations, significantly for uncared for and underutilised crops, nation-wide soil maps for 9 parameters as much as 100 cm depth had been generated and made accessible on-line.
That is an open entry article distributed below the Creative Commons Attribution License which allows unrestricted use, distribution, and replica in any medium, supplied the unique work is correctly cited