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猫尾草氮磷钾含量与种子产量及产量因子的灰关联熵分析

Grey relation entropy analysis of nitrogen,phosphorus and potassium contents in Phleum pratense L.with seed yield and its components
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摘要 采用二因素D-饱和最优设计,通过猫尾草拔节-抽穗期的根氮、磷、钾和茎叶氮、磷、钾的含量对其种子产量和产量因子进行灰关联熵分析。结果表明,在猫尾草拔节-抽穗期,植株氮磷钾含量对猫尾草种子产量的影响顺序为钾>磷>氮;茎叶含钾量和根含钾量对产量因子小穗数/生植枝影响最大;根含氮量对产量因子种子粒数/小穗和单粒种子重影响最大;根含氮量和茎叶含钾量对产量因子生植枝数/m2影响最大。 Based on 2-D-optimum orthogonal design field experiment in the jointing-heading period of Phleum pratense L. ,the results show that potassium content is the most productive on the seed yield, phosphorus comes next and nitrogen the least. The potassium is beneficial to the development of spikelet, and the nitrogen is useful to burliness and future seed growth after grey relation entropy analysis.
出处 《安徽农业大学学报》 CAS CSCD 北大核心 2006年第2期243-247,共5页 Journal of Anhui Agricultural University
基金 西北农林科技大学人才基金 农业部"948"退化草地综合改良与草地建设配套技术研究项目(202099)资助
关键词 猫尾草 种子产量 檀株氮磷钾含量 产量因子 灰关联熵分析 Phleum pratense L seed yield nitrogen and phosphorus content production factors grey relation entropy analysis
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