山东稀有植物小果白刺天然群体表型变异研究
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摘要
[目的]研究山东小果白刺的表型变异程度及变异规律。[方法]采用方差分析、相关分析、聚类分析等分析方法,对山东小果白刺5个群体种实和叶片的10个表型性状进行了比较分析。[结果]群体内变异是山东小果白刺表型变异的主要来源;各性状群体间表型分化系数的变幅为20.20%60.70%,平均值为40.71%;所有性状的变异系数平均值为9.34%,各器官的表型变异程度有叶片大小(8.99%)﹥种子大小(7.74%)﹥果实大小(6.77%)和种子形状(10.22%)﹥叶片形状(6.70%)﹥果实形状(4.35%);小果白刺10个表型性状间大多呈显著或极显著的相关关系;5个小果白刺群体被聚合成2类。[结论]山东小果白刺种实及叶片表型性状在群体间和群体内存在丰富的表型变异,其地理变异规律遵照随机变异模式。该研究结果为小果白刺种质资源的保存提供了依据。
[Objective]To figure out the degrees and laws of phenotypic variation of Nitraria sibirica in Shandong Province. [Method]10 phenotypic traits about fruit and leaf of five N. sibirica populations in Shandong Province were analyzed by the methods of variance analysis,correlation analysis,and cluster analysis,etc. [Result]The variation within populations was proved as the main resource of the phenotypic variation. The phenotypic differentiation coefficients among the populations varied from 20. 20% to 60. 70%,with an average value of 40. 71%. The average variation coefficient for all the traits was 9. 34%. The relationship of the phenotypic variability degrees for different components are as follows: leaves size( 8. 99%) > seeds size( 7. 74%) > fruits size( 6. 77%) and seeds shape( 10. 22%) > leaves shape( 6. 70%) > fruits shape( 4. 35%). Most of those traits were significantly correlated with one another. The five N. sibirica populations were then clustered into 2 groups. [Conclusion]The results showed that extensive genetic variations were detected both within and among the five N. sibirica populations,whose geographic variations were in accordance with the random variation mode. These results could afford basis for protecting germplasm resources of N. sibirica.
[Objective]To figure out the degrees and laws of phenotypic variation of Nitraria sibirica in Shandong Province. [Method]10 phenotypic traits about fruit and leaf of five N. sibirica populations in Shandong Province were analyzed by the methods of variance analysis,correlation analysis,and cluster analysis,etc. [Result]The variation within populations was proved as the main resource of the phenotypic variation. The phenotypic differentiation coefficients among the populations varied from 20. 20% to 60. 70%,with an average value of 40. 71%. The average variation coefficient for all the traits was 9. 34%. The relationship of the phenotypic variability degrees for different components are as follows: leaves size( 8. 99%) > seeds size( 7. 74%) > fruits size( 6. 77%) and seeds shape( 10. 22%) > leaves shape( 6. 70%) > fruits shape( 4. 35%). Most of those traits were significantly correlated with one another. The five N. sibirica populations were then clustered into 2 groups. [Conclusion]The results showed that extensive genetic variations were detected both within and among the five N. sibirica populations,whose geographic variations were in accordance with the random variation mode. These results could afford basis for protecting germplasm resources of N. sibirica.
引文
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[17]张亚琦,王宁,赵越,等.青海高原西伯利亚白刺天然居群表型多样性研究[J].北方园艺,2013,(9):64-67.
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[20]赵景奎,徐立安,解荷峰,等.黄河三角洲柽柳群体遗传多样性RAPD分析[J].南京林业大学学报(自然科学版),2008,32(5):56-60.
[21]王赞,高新中,韩建国.柠条锦鸡儿表型多样性研究[J].草地学报,2006,14(3):201-205.
[22]张娟,尹林克,张道远.刚毛柽柳天然居群遗传多样性初探[J].云南植物研究,2003,25(5):557-562.
[23]田胜平,汪阳东,陈益存,等.山苍子天然种群叶片和种实性状的表型多样性[J].生态学杂志,2012,31(7):1665-1672.
[24]Daniel L H,Andrew G C.Principles of Population Genetics[M].Sinauer Associates:Inc.,Sunderland,U.K..1997:1-670.
[2]王国柱,王秉喆,黄雪峰,等.苏打盐碱土区小果白刺造林效果的研究[J].吉林林业科技,2009,38(2):11-13.
[3]曾杰,郑海水,甘四明,等.广西西南桦天然居群的表型变异[J].林业科学,2005,41(2):59-65.
[4]杨玲,沈海龙,等.不同产区野生花楸果实和种子的型表多样性[J].东北林业大学学报,2009,37(2):8-10.
[5]李文英,顾万春.蒙古栎天然群体表型多样性研究[J].林业科学,2005,41(1):49-56.
[6]Naomi Chechowitz,Dorothy M.Chappell,Sheldon I.Guttman,Lee A.Weigt.Morphological,electrophoretic,and ecological analysis of Quercus macrocarpa populations in the Black Hills of South Dakota and Wyoming[J].Canadian Journal of Botany,1990,68(10):2 185-2 194.
[7]李振洲,陈真,刘晓慧,等.西伯利亚白刺播种育苗技术[J].北方园艺,2011,(07):71-72.
[8]王德强,马盈慧,杜海波,等.优良碱地造林树种西伯利亚白刺种苗繁育技术[J].农业科学,2011,(4):139.
[9]张启昌,李双福,其其格.西伯利亚白刺的微繁技术[J].东北林业大学学报,2008,36(4):12-28.
[10]徐森.西伯利亚白刺盐碱地造林试验[J].吉林林业科技,2011,40(4):10-12.
[11]王丽,张英楠.西伯利亚白刺人工栽培技术[J].吉林林业科技,2010,39(1):47-51.
[12]左凤月,郝秀芬,陈占峰,等.小果白刺和泡果白刺的耐盐性[J].天津农学院学报,2013,20(2):11-14.
[13]王金梅,康文艺.唐古拉特白刺和西伯利亚白刺叶挥发性成分研究[J].精细化工,2009,26(8):774-780.
[14]李永强,杨士花,朱仁俊,等.西伯利亚白刺果实花色苷的初步鉴定[J].食品科学,2009,30(9):77-79.
[15]Khalil M A K.Genetic variation in eastern white spruce(Picea glauca(Moeneh)Voss)populations[J].Can J For Res,1985,15(2):444-452.
[16]刁松锋,邵文豪,姜景民,等.基于种实性状的无患子天然群体表型多样性研究[J].生态学报,2014,34(6):1451-1459.
[17]张亚琦,王宁,赵越,等.青海高原西伯利亚白刺天然居群表型多样性研究[J].北方园艺,2013,(9):64-67.
[18]庞广昌,姜冬梅.群体遗传多样性和数据分析[J].林业科学,1995,31(6):543-550.
[19]冯毅,王朱涛,蔡应君,等.川西北地区康定柳天然群体表型多样性研究[J].西南林学院学报,2010,30(4):11-15.
[20]赵景奎,徐立安,解荷峰,等.黄河三角洲柽柳群体遗传多样性RAPD分析[J].南京林业大学学报(自然科学版),2008,32(5):56-60.
[21]王赞,高新中,韩建国.柠条锦鸡儿表型多样性研究[J].草地学报,2006,14(3):201-205.
[22]张娟,尹林克,张道远.刚毛柽柳天然居群遗传多样性初探[J].云南植物研究,2003,25(5):557-562.
[23]田胜平,汪阳东,陈益存,等.山苍子天然种群叶片和种实性状的表型多样性[J].生态学杂志,2012,31(7):1665-1672.
[24]Daniel L H,Andrew G C.Principles of Population Genetics[M].Sinauer Associates:Inc.,Sunderland,U.K..1997:1-670.