Optimal high-yield agronomic measures for Curcuma longa L
Li, L.; Qin, S.; Liao, G.; Fang, Q.; Yang, S.
Zhongguo Zhong Yao Za Zhi 22(3): 145-147; 190-191
1997
ISSN/ISBN: 1001-5302 PMID: 10743182 Document Number: 472129
Regression method of orthogonal conic substitution with factors was employed to build up a tuber yield simulation model. Three main measures (sowing time, plant population, application rate of fertilizer) affecting the tuber yield were analyzed by the mathematical model of three unknown second order orthogonal rotative regression. The optimal agronomic measures were obtained. The results indicate that sowing time and plant population play a important role in raising the tuber yield. Sowing time is clearly interrelated with plant population, and likewise, plant population application rate of fertilizer.