Abstract:

By the optimum design of quadratic regression for 4 factors, the regression model between fertilization, the living bamboo density and the bamboo timber output of moso bamboo stands, was established in this paper. Meanwhile, the economic benefit equations of the fertilization and the standing culm based on the prices of input and output, which were tested by F-value in goodness of fit. Further statistical analysis showed that the leading factors enfluencing bamboo timber output were the standing culm density and the application of introgen. The order of the contribution rate of the tested factors to yield of bamboo timber was the standing culm density>N fertilizer>K fertilizer>P fertilizer. By bi_frequency analysis of yield and the economic benefit, the optimal fertilization and culms density scheme were obtained within the confidence interval of 95% as follows:urea 488～607.6 kg·hm^-2(average 547.8 kg·hm^-2), superphosphate 252.7～261.2 kg·hm ^-2(average 257 kg·hm ^-2), potassium chloride 43.3～123.2 kg·hm ^-2(average 83.3 kg·hm^-2), and culms density 2 363～2 582 culms·hm ^-2(average 2 472 culms ·hm ^-2).

Key words: Moso bamboo stands, Fertilization, Density, Regression design, Model