Simulation of Soybean Plant Growth and Production (Glycine max (L) Merrill) Using the DSSAT Model with Various Scenarios of Water Supply and Compost
Amir Yassi, Syatrianty A. Syaiful, Anggerah Ruslan, and Ifayanti Ridwan
Hasanuddin University
Abstract
This study aims to study the response of soybean plants to various scenarios of providing water and compost using the DSSAT model. This research was conducted by the Laboratory of Agro-climatology and Statistics, Department of Agriculture, Faculty of Agriculture, Hasanuddin University, Makassar. This research was conducted in February-March 2016. Simulation of the DSSAT model was determined from primary data in the form of plant management data, soil data, and other supporting data, and secondary data in the form of climate data. Based on the results of the study, the DSSAT model for simulating soybean plants can predict from each treatment the parameters of number of leaves per stem, stem weight, vegetative weight, number of pods, and pod weight.
Keywords: DSSAT, Water Supply, Compost, Glycine max (L) Merrill.
Topic: Other Agricultural and biosystems topic