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草业学报 ›› 2015, Vol. 24 ›› Issue (12): 164-179.DOI: 10.11686/cyxb2015222

• 研究论文 • 上一篇    下一篇

辽宁省野古草野生居群表型性状多样性研究

刘英,白龙,雷家军*   

  1. 沈阳农业大学园艺学院,辽宁 沈阳110866
  • 收稿日期:2015-04-29 出版日期:2015-12-20 发布日期:2015-12-20
  • 通讯作者: jiajunleisy@163.com
  • 作者简介:刘英(1978-),女,四川资中人,讲师,在读博士。E-mail:liuyingsyau@126.com
  • 基金资助:

    沈阳农业大学校青年基金(20091008)和国家“十二五”科技支撑计划(2011BAD17B04)资助

Phenotypic variation of wild Arundinella hirta populations from Liaoning province

LIU Ying, BAI Long, LEI Jia-Jun*   

  1. College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China
  • Received:2015-04-29 Online:2015-12-20 Published:2015-12-20

摘要:

为揭示野古草野生居群的表型变异规律,采用变异系数、主成分分析和聚类分析方法对采自辽宁省的8个野古草居群的10项形态性状进行多样性分析。结果表明,这10个表型性状在居群间的差异均达到极显著水平,各性状特征在居群间存在广泛的变异,变异系数由大到小依次为小穗总数(42.01%)>旗叶厚度(27.94%)>旗叶长度(26.83%)>旗叶宽度(20.98%)>叶数(19.64%)>茎基粗(19.70%)>花序长(19.30%)>单枝干重(18.62%)>株高(10.19%)>花序重(8.16%)。10个形态特征可归成为3个主成分因子,累计贡献率达到79.44%,最大程度上反映了所有材料的表型性状特征,不同种群之间的差异主要来源于花序长、花序干重、单枝干重、小穗总数。采用欧氏距离系统聚类法将8个野古草居群依据10个表型性状分为3类:株型高大,旗叶长而宽,生物量大;株高中等,茎基粗壮,旗叶长而窄,小穗数量多,生物量较大;植株矮,叶片短、窄,生物量最小。表型性状与地理因子的相关性分析表明,部分表型性状的变化与地理因子呈显著或极显著相关性。

Abstract:

The phenotypic variation of eight Arudinella hirta populations collected from Liaoning province was determined. Ten phenotypic traits of eight wild populations were analysed using the coefficient of variation, principal component analysis and cluster analysis. There were significant differences in morphological characteristics within and between populations of A. hirta at P<0.01. The coefficients of variation were ranked as follows: total spikelet number/panicle (42.01%)>flag leaf depth (27.94%)>flag leaf length (26.83%)>flag leaf width (20.98%)>leaf number (19.64%)>stem diameter (19.70%)>panicle length (19.30%)>tiller dry weight (18.62%)>plant height (10.19%)>panicle dry weight (8.16%). Principal component analysis based on ten morphological characteristics showed that three principal components reflected most of the phenotypic characteristics; differences between populations were derived from panicle length, panicle dry weight, tiller dry weight and spikelet number. UPGMA cluster analysis identified three groups including tall plants with long and wide flag leaves, tall plants with long and narrow flag leaves and short plants with short and narrow leaves. Correlation analysis showed that some traits were strongly correlation with phenotypic traits and ecological factors.