油用亚麻品种资源主要性状的鉴定与评价
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摘要
为更好地利用品种资源,对国内外336份油用亚麻品种资源的6个主要农艺性状进行鉴定、变异分析及主成分和系统聚类分析与评价。结果表明,主要农艺性状的变异系数为13.9%~39.5%,各品种资源间农艺性状遗传变异丰富,类型广泛,具有很好的选择利用前景;主成分分析将主要农艺性状聚为4个主成分,即单株果数因子、单株分茎数+株高因子、果粒数因子、产量因子,其对总变异的贡献率分别为27.68%、20.38%、17.40%、15.57%,累计贡献率为81.03%;系统聚类分析在欧氏距离D=41.925水平上将供试材料聚为4大类群,第Ⅲ大类群及第Ⅱ大类群第Ⅰ亚群的材料综合性状表现较好,株高适中,单株分茎、分枝能力强,单株果数多,单株生产力高,可作为优异基因资源重点开发利用,而第Ⅰ大类群第Ⅰ亚群材料则适宜作为纤用亚麻使用。
For better use of the resources,336 oil flax varieties were identified by variation analysis,principal components analysis and cluster analysis. 6 agronomic traits were inveatigated. Their variations ranged from 13. 9%to 39. 5%,indicating the diversity of materials was significant and tested materials was promising. Principal components( PC) analysis showed that the first 4 PCs,which might be regarded as grain yield component factor accounting for 81. 04% of variation among the materials. These 4 PCs and their contribution rates were fruits per plant( 27. 68%),stems per plant and plant height factor( 20. 38%),seeds per fruit factor( 17. 40%) and yield factor( 15. 57%). Through cluster analysis,all materials were classified into 4 groups at the level of D = 41. 925. The variety resources with excellent agronomic traits for high fruit yield were mostly in group Ⅲ and subgroup Ⅰof groupⅡ. The variety resources in subgroupⅠof group Ⅰ were excellent for high fibre yield. They were excellent gene resources in breeding.
For better use of the resources,336 oil flax varieties were identified by variation analysis,principal components analysis and cluster analysis. 6 agronomic traits were inveatigated. Their variations ranged from 13. 9%to 39. 5%,indicating the diversity of materials was significant and tested materials was promising. Principal components( PC) analysis showed that the first 4 PCs,which might be regarded as grain yield component factor accounting for 81. 04% of variation among the materials. These 4 PCs and their contribution rates were fruits per plant( 27. 68%),stems per plant and plant height factor( 20. 38%),seeds per fruit factor( 17. 40%) and yield factor( 15. 57%). Through cluster analysis,all materials were classified into 4 groups at the level of D = 41. 925. The variety resources with excellent agronomic traits for high fruit yield were mostly in group Ⅲ and subgroup Ⅰof groupⅡ. The variety resources in subgroupⅠof group Ⅰ were excellent for high fibre yield. They were excellent gene resources in breeding.
引文
[1]王利民,张建平,米君,等.国外引进油用亚麻品种资源农艺性状分析与评价[J].中国油料作物学报,2011,33(4):356-361.
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[6]宋江峰,李大婧,刘春泉,等.甜糯玉米软罐头主要挥发性物质主成分分析和聚类分析[J].中国农业科学,2010,43(10):2 122-2 131.
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[8]陶爱芬,祁建民,林培青,等.红麻优异种质产量和品质性状主成分聚类分析与综合评价[J].中国农业科学,2008,41(9):2 859-2 867.
[9]陈英.胡麻种质资源数量性状的多元统计分析[J].中国油料作物学报,2016,38(6):730-736.
[10]罗俊杰,欧巧明,叶春雷,等.重要胡麻栽培品种的抗旱性综合评价及指标筛选[J].作物学报,2014,40(7):1 259-1 273.
[11]罗俊杰,欧巧明,叶春雷,等.主要胡麻品种抗旱相关指标分析及综合评价[J].核农学报,2014,28(11):2 115-2 125.
[12]王玉富,粟建光.亚麻种质资源描述规范和数据标准[M].北京:中国农业出版社,2006.1-99.
[13]田彩平,党占海,张建平.外引亚麻品种资源的聚类分析及评价[J].中国油料作物学报,2008,17(5):200-203.
[2]赵利,党占海,李毅.甘肃油用亚麻地方种质资源品质特性研究[J].西北植物学报,2006,26(12):2 453-2 457.
[3]张建平,党占海.亚麻品种资源的聚类分析及评价[J].中国油料作物学报,2004,26(3):24-28.
[4]杜永,王艳,王学红,等.黄淮地区不同粳稻品种株型、产量与品质的比较分析[J].作物学报,2007,33(7):1 079-1 085.
[5]殷冬梅,李拴柱,崔党群.花生主要农艺状的相关性及聚类分析[J].中国油料作物学报,2010,32(2):212-221.
[6]宋江峰,李大婧,刘春泉,等.甜糯玉米软罐头主要挥发性物质主成分分析和聚类分析[J].中国农业科学,2010,43(10):2 122-2 131.
[7]孟庆立,关周博,冯佰利,等.谷子抗旱相关性状的主成分与模糊聚类分析[J].中国农业科学,2009,42(8):2 667-2 675.
[8]陶爱芬,祁建民,林培青,等.红麻优异种质产量和品质性状主成分聚类分析与综合评价[J].中国农业科学,2008,41(9):2 859-2 867.
[9]陈英.胡麻种质资源数量性状的多元统计分析[J].中国油料作物学报,2016,38(6):730-736.
[10]罗俊杰,欧巧明,叶春雷,等.重要胡麻栽培品种的抗旱性综合评价及指标筛选[J].作物学报,2014,40(7):1 259-1 273.
[11]罗俊杰,欧巧明,叶春雷,等.主要胡麻品种抗旱相关指标分析及综合评价[J].核农学报,2014,28(11):2 115-2 125.
[12]王玉富,粟建光.亚麻种质资源描述规范和数据标准[M].北京:中国农业出版社,2006.1-99.
[13]田彩平,党占海,张建平.外引亚麻品种资源的聚类分析及评价[J].中国油料作物学报,2008,17(5):200-203.