| 航天诱变对凤仙花SP3代叶绿素及可溶性糖含量的影响 |
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| 引用本文： | 田锟,冯长焕,汤泽生,杨军,彭正松.航天诱变对凤仙花SP3代叶绿素及可溶性糖含量的影响[J].内江师范学院学报,2011,26(10):35-38. |
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| 作者姓名： | 田锟 冯长焕 汤泽生 杨军 彭正松 |
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| 作者单位： | 1. 西华师范大学数学与信息学院,四川南充,637002
2. 西华师范大学生命科学学院,四川南充,637002 |
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| 基金项目： | 国家自然科学基金，四川省应用基础研究资助项目，四川省重点学科建设资助项目 |
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| 摘 要： | 对经过航天诱变的凤仙花SP3代6个实验植株与没有经过航天诱变的6个对照植株进行秋播比较．通过对凤仙花生理指标的测定，发现经诱变后的植株光合色素含量增长显著，特别是叶绿素a；可溶性糖含量显著减少．针对叶绿素a含量和可溶性糖量的负相关关系，利用灰色系统理论和统计回归分析，建立了回归模型，拟合了两者之间的函数解析式．用此关系式可以合理的预测叶绿素a和可溶性糖的含量．
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| 关 键 词： | 航天诱变 凤仙花 生理指标 回归模型 |
Effect of Space Mutation on Soluble Sugar Content SP3 Generation Chlorophyll and in Impations Balsamina |
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| TIAN Kun a,FENG Chang-huan a,TANG Ze-sheng b,YANG Jun b,c,PENG Zheng-song b,c.Effect of Space Mutation on Soluble Sugar Content SP3 Generation Chlorophyll and in Impations Balsamina[J].Journal of Neijiang Teachers College,2011,26(10):35-38. |
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| Authors: | TIAN Kun a FENG Chang-huan a TANG Ze-sheng b YANG Jun b c PENG Zheng-song b c |
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| Institution: | TIAN Kun a,FENG Chang-huan a,TANG Ze-sheng b,YANG Jun b,c,PENG Zheng-song b,c(a.College of Mathematics & Information b.College of Life Science c.Institute of Rare Animals and Plants,China West Normal University,Nanchong,Sichuan 637002,China) |
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| Abstract: | The morphological and physiological traits of 6 SPa generation autumn lmpations balsamina of space mutation were compared with those of another 6 natural plants. The measured physiological indices of the 6 space-mutation treated plants increased significantly with a particularly strong increase detected in chlorophyll A; while the content of soluble sugar decreased sharply. （）n basis of the negative correlation between chlorophyll A and the soluble sugar content, and by use of grey system theory and statistical regression analysis, a regression model was put in place and a fitted analytical expression of function was also worked out. Such a mathematical relation is of a reasonable predicting power in determining the content of chlorophyll A and soluble sugar. |
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| Keywords: | Space mutation Impatiens balsamina physiological indices regression model |
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