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棉花纤维品质年际间变化及气象因素影响分析 被引量:30

Annual Variance of Cotton Fiber Quality and Influence by Climatic-Ecologic Factors
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摘要 利用河北省1994—2003年中棉所12的纤维品质资料分析年际间变化的主要指标和主因子。结果表明:比强度是纤维品质中年际间变化最大的品质指标。第一个公共因子与2.5%跨长和比强度的相关系数分别为0.808和0.715,可认为是长度强力因子,第二个公共因子与麦克隆值的相关系数为0.789,可认为是麦克隆因子。纤维品质与铃期(7-10月)气象因素的通径分析结果表明,铃期平均气温是影响绒长强力因子的主要气象因素,铃期降雨是影响麦克隆值的主要气象因素。 Based on main characters of CCRI 12 from 1994 to 2003, annual variance and main factors of cotton fiber quality were analyzed. The result showed that the variance of fiber strength was the largest, for its range was 6.5 cN·tex^(-1),and its mean squares was 80.7% of total mean squares of 2.5% span length, fiber strength and micronaire, and its coefficient of variation is 1.159, much more than that of 2.5% span length(0.219) and micronare(0.319). After variables being changed, the mean squares of the first common factors and the second common factors are 49.5% and 30% of total mean squares, respectively, and their summation is 79.5%. The first common factor was supposed as fiber-length-and-strength factor, for its partial correlation coefficient with fiber length and fiber strength are 0.808 and 0.715, respectively. The second common factor was supposed as micronare factor, for the partial correlation coefficient with micronare is 0.789. The result of path analysis of fiber quality with climatic-ecologic factors showed that the largest direct action of climatic-ecologic factors to 2.5% span length, fiber strength and micronare were mean temperature, mean temperature and rain fall in boll period(from July to October), respectively, their path coefficient are 0.6560, 0.8098 and (-0.3156), respectively. Mean temperature in boll period was the major climatic-ecologic factor which affected fiber-length-and-fiber-strength factor, and rainfall in boll period was the major climatic-ecologic factor which affected micronare factor.
出处 《棉花学报》 CSCD 北大核心 2005年第2期103-106,共4页 Cotton Science
基金 农业部"优质棉基地科技服务项目(河北)"
关键词 铃期 纤维品质 麦克隆值 棉花纤维 气象因素 通径分析 比强度 主要指标 影响分析 中棉所 cotton fiber quality climatic ecologic factor main factor analysis path analysis
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