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机构地区:[1]安徽省农科院安庆棉花研究所
出 处:《安徽农业科学》1992年第2期142-146,共5页Journal of Anhui Agricultural Sciences
摘 要:以氮、磷、钾、密度及果枝数五项农艺措施为决策变量,采取五因素二次回归旋转设计方案,经田间试验后进行计算机处理,建立了相应的数学模型。本文对因素效应和不同产量等级筛选出的优化方案进行了分析。结果表明,本棉区以密度和钾肥对产量影响最显著。≥75公斤/亩产量的优化方案为N10.45~11.05公斤/亩,P_2O_53.92~4.10公斤/亩,K_2O10.65~11.20公斤/亩,密度3410~3510株/亩,果枝数16.06~16.30台/株。Taking N, P_2O_5,K_2O, plants per mu and numbers of fruiting branches as variable, adopting quadratic regression revalution disign with five factors, after feilds testing and comutes treatment, the authors established appropriate mathematical model. The factor effects and optimal schemes selected from different grades of yield were analysed. The results showed as follows: (1) The effect of density (plants per mu) and K_2O in the cotton growing areas to yield were remarkable. (2) The optimal plan with≥75kg per mu was composed of N 10.45—11.05 kg per mu, P_2O_5 3.92—4.10kg per mu, K_2O 10.65—11.20 kg per mu, 3410—3510 plats per mu and 16.06—16.30 numbers per plant.
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