惠岑怿, 石莎, 冯金朝, 鲜一丹. 内蒙古地带性针茅植物15种营养元素含量及化学计量特征分析[J]. 云南大学学报(自然科学版), 2019, 41(2): 380-389. doi: 10.7540/j.ynu.20180077
引用本文: 惠岑怿, 石莎, 冯金朝, 鲜一丹. 内蒙古地带性针茅植物15种营养元素含量及化学计量特征分析[J]. 云南大学学报(自然科学版), 2019, 41(2): 380-389. doi: 10.7540/j.ynu.20180077
HUI Cen-yi, SHI Sha, FENG Jin-chao, XIAN Yi-dan. Analysis on the content and stoichiometry of 15 nutrient elements of zonal Stipa plants in Inner Mongolia[J]. Journal of Yunnan University: Natural Sciences Edition, 2019, 41(2): 380-389. DOI: 10.7540/j.ynu.20180077
Citation: HUI Cen-yi, SHI Sha, FENG Jin-chao, XIAN Yi-dan. Analysis on the content and stoichiometry of 15 nutrient elements of zonal Stipa plants in Inner Mongolia[J]. Journal of Yunnan University: Natural Sciences Edition, 2019, 41(2): 380-389. DOI: 10.7540/j.ynu.20180077

内蒙古地带性针茅植物15种营养元素含量及化学计量特征分析

Analysis on the content and stoichiometry of 15 nutrient elements of zonal Stipa plants in Inner Mongolia

  • 摘要: 通过对植物体内矿质平衡离子成分及含量特征研究,认识植物体内养分间交互作用,对研究草原植物各种逆境适应、矿质离子平衡及相关调控基因控制网络等具有重要作用. 基于内蒙古不同草原类型,以针茅属(Stipa Linn.)植物为禾本科类的代表,研究地带性针茅植物叶片15种营养元素(7种大量元素C、N、P、K、Mg、Ca、S和8种微量元素B、Mn、Fe、Na、Zn、Cu、Ni、Mo)含量特征及元素间的相互关系. 结果表明:西北针茅、大针茅、短花针茅和石生针茅等植物叶片中大量元素和微量元素含量均值分布格局基本相似,总体表现为C>N>K>S>Mg>P>Ca>Na>Mn>Fe>Zn>Ni>Cu>B>Mo. 4种针茅植物中大量元素P、K、Ca和微量元素Mn、Fe、Mo含量均有显著性差异(P<0.05),其它元素如N、Mg、Cu、Ni等无显著差异(P>0.05);4种针茅植物元素的相关性分析表明,营养元素之间的相关系数在较大范围内波动,不同元素之间的相互关系复杂,由15种营养元素组成的105对元素对中,有25对元素有显著相关(P<0.05),占总数的20%;以主成分分析(PCA)对叶片多种元素之间的相互关系作进一步分析,提取了变异较大且解释率高的4个主成分轴,大量元素和微量元素在主成分图中呈现出分布的差异性聚类;而对多种元素的聚类分析,可以将营养元素归为两大类,第1大类包括C、N、P、K、S等,共同决定着植物的生长、发育与繁殖等生理生态过程,第2大类包括大量元素Mg、Ca和微量元素B、Mn、Na、Fe、Cu、Ni、Mo,这类元素作为辅基参与电子传递和生化反应,与植物生长和生境适应有关.

     

    Abstract: That studying the mineral ion balance and stoichiometry characteristics of plants, can help us to understand the interaction between nutrients in plants, which plays an important role in the research of stress adaptations, mineral ion balance and related regulatory gene control networks of grassland plants. Based on different grassland types in Inner Mongolia, Stipa Linn., as a representative of gramineous plants, was used to determine the content of 15 nutrients in the leaves of the grass (7 macro-elements C, N, P, K, Mg, Ca, S and 8 micro-elements B, Mn, Fe, Na, Zn, Cu, Ni, Mo), and the stoichiometric characteristics of these elements and the interactive relationship between the elements. The results showed that: There was similar pattern of macro- and micro-elements distribution in the leaves of S. sareptanai, S. grandis, S. breviflora,and S. tianschanica, and the mean content of these mineral elements showed the change of C>N>K>S>Mg>P>Ca>Na>Mn>Fe>Zn>Ni>Cu>B>Mo. Between the fourStipa plants the content of P, K, Ca macro-elements and Mn, Fe and Mo micro-elements were significant different (P<0.05), and other elements such as N, Mg, Cu, Ni, etc. did not show significant difference (P>0.05). The correlation analysis of the elements of the fourStipa plants showed that the coefficience of the nutrient elements was in a wide range of fluctuations, and the interrelationships between different elements were complex, among the 105 pairs of 15 nutrients, 25 pairs were significantly related (P<0.05), accounting for 20%. The Principal Component Analysis (PCA) of the inter-relationship between various elements of the leaf could extract four principal component axes with large variation and high interpretation rate, and macro-elements and micro-elements exhibit differential clustering distribution in the principal component axes. The cluster analysis of various elements could classify the nutrients into two categories. The first category was a included in C, N, P, K, S, etc., which together determined the physiological and ecological processes of plant growth, development and reproduction. And the second category included macro-elements Mg, Ca and micro-elements B, Mn, Na, Fe, Cu, Ni, Mo, as a prosthetic group involved in electron transport and biochemical reactions, and plant growth and habitat adaptation.

     

/

返回文章
返回