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棉乡杂3号产量构成因素分析及高产栽培措施 被引量:1

Yield components analysis and high-yield cultivation measures for Mianxiangza 3
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摘要 探讨棉乡杂3号的产量构成因素间的相互关系及其对产量的影响效应,为制定该品种的高产栽培措施提供依据.2 a试验结果表明:铃重、衣分的变异较小,它们主要受遗传基因控制,株铃数、公顷铃数有较大变异,表明它们易受环境因素影响;衣分、铃重和公顷铃数均与皮棉产量呈极显著或显著正相关,对皮棉产量的最终效应为:衣分(0.6411**)〉铃重(0.4668**)〉公顷铃数(0.4490**),贡献率相应为49.49%、26.24%、24.27%,以衣分为最大,铃重和公顷铃数分列第2、3位.模拟得出皮棉产量1650-1800 kg/hm2的优化结构:公顷铃数784608-803030个,铃重6.12-6.20 g,衣分41.43%%-41.66%.在高产栽培实践中,以争株铃、增总铃、促铃重、稳衣分为主攻方向,加强管理,促成各因素协调发展,方能实现高产目标. In order to provide evidence for high-yield cultivation measures of the Mianxiangza 3,the yield components relationship and its effect on production were studied in this paper.Two years test results showed that the smaller variation of boll weight and lint,they were mainly controlled by genetic inheritance.Plant boll number and hectare boll number had larger variation,which revealed that they were easily affected by environmental factors;Lint, boll weight and hectare boll number were very significant or significant positive correlation with lint yields.Its final effect on lint yield follows:lint(0.641 1**)〉boll weight(0.466 8**)〉hectare bell number(0.449 0**).The corresponding contribution rates were 49.49%,26.24%,and 24.27%.The lint reached to the maximum,boll weight and the hectare boll number rank in 2,3 respectively.Optimization structure of lint yield 1 650-1 800 kg/hm2 through simulation as lists below:hectare boll numbers 784 608~803 030,the boll weight 6.12-6.20 g,lint 41.43%-41.66%.During the high-yield cultivation practice,the researchers should take striving for plant boll,increasing the total boll numbers, promoting the boll weight and stabilizing lint as the main direction,strengthen management,and contribute to the coordinated development of various factors in order to achieve high yield.
出处 《河南科技学院学报(自然科学版)》 2014年第4期11-15,共5页 Journal of Henan Institute of Science and Technology(Natural Science Edition)
基金 国家农业科技成果转化项目(SQ2011ECD000005) 河南省重点科技攻关项目(112102110089)
关键词 棉乡杂3号 产量因素 高产栽培 模拟产量结构 回归分析 通径分析 Mianxiangza 3Mianxiangza 3 yield components high-yield cultivation yield structure simulation regression analysis path analysis Key words:Mianxiangza 3 yield components high-yieLd cultivation yield structure simulation regression analysis path analysis
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