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作 者:王清连[1] 陈荣江[1] 董娜[1] 张金宝[1]
机构地区:[1]河南科技学院棉花研究所,河南新乡453003
出 处:《河南农业科学》2014年第2期46-50,共5页Journal of Henan Agricultural Sciences
基 金:国家"863"计划项目(2012AA101108;2011AA10A102);国家转基因生物新品种培育科技重大专项(2011zx08005002-003;2013zx08005002-003);河南省重点科技攻关项目(112102110089)
摘 要:为探明百棉1号产量构成因素的优化组合及其此长彼消相互影响的变化规律,探讨高产田产量构成因素的密、肥效应参数,利用百棉1号2006-2007年黄河流域棉区常规春棉品种区试A组及2008年黄河流域棉区中熟常规品种生产试验A组共37个点的观测资料,采用偏相关、多元线性回归、通径分析,产量构成因素互变模型,多元多项式曲线回归及模拟选优等方法,研究了该品种产量构成因素对皮棉产量的影响以及产量构成因素间的相关性,并利用所建密、肥效应模型进行了模拟研究。结果表明:对于百棉1号,应在适当控制密度的前提下,力求促使产量构成因素的协调发展,方可实现理想的产量结构;从产量目标性状密、肥因子效应多项式回归模型模拟得出,在平均密度48 838株/hm2,施N 216.96kg/hm2、P2O5147.94kg/hm2、K2O 115.59kg/hm2条件下,皮棉期望产量可达1 615.58kg/hm2,其理想产量结构为单株铃数17.23个、单铃质量6.32g、衣分41.33%。In order to ascertain the optimal combination of Baimian 1 .yield components,its rising- falling and interactive influence change rules, density-fertilizer effect parameter of yield components,observation data from 37 points of the conventional spring cotton variety regional test group A'in 2006--2007 and the mid-maturation conventional varietyproduction test group A in 2008 of the Yellow River area cotton region were analyzed, using partial correlation, multiple linear regression,path analysis and yield factors interconversion model and multivariate polynomial curve regression and simulation optimization methods, to study the influence of the variety yield factors on lint outputs and the correlation among yield factors. And a density-fertilizer effect model was constructed for the simulation study. Results showed that this variety should be set under proper density, to promote the coordinated development of production factors, and then the ideal yield structure could be realized. From the polynomial regression model simulation of the production target character density-fertilizer factorial effects, under the condition of average density48 838 plants/ha,application of N 216.96 kg/ha,PzOs !47.94 kg/ha,KzO 115.59 kg/ha, expected output would be up to 1 615.58 kg/ha,and the ideal output structure was 17.23 bolls, boll weight of 6.32 g and lint percentage of 41.33%.
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