| 甜菜种质资源叶部性状多样性及聚类分析 |
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| 引用本文： | 兴 旺,潘 荣,崔 平. 甜菜种质资源叶部性状多样性及聚类分析[J]. 中国农学通报, 2015, 31(30): 155-161. DOI: 10.11924/j.issn.1000-6850.casb15050140 |
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| 作者姓名： | 兴 旺 潘 荣 崔 平 |
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| 作者单位： | (;1.黑龙江大学农作物研究院,哈尔滨 150080；;2.中国农业科学院甜菜研究所,哈尔滨 150080） |
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| 基金项目： | 农业部作物种质资源保护项目“甜菜种质资源收集鉴定编目繁种保存与利用”(2015NWB022)；黑龙江大学青年科学基金项目(QL201402)。 |
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| 摘 要： | 为进一步挖掘甜菜种质资源潜力促进甜菜品种改良及种质资源的高效利用，利用软件SPSS 22.0采用聚类分析方法对从中国甜菜种质资源中期库中筛选出的121份国内外甜菜种质资源进行了遗传多样性研究和分类。结果表明：对9个叶部形态性状进行了调查分析，其中多样性指数最高的是叶片薄厚，然后依次为叶色、叶柄长、叶面形、叶柄色、叶缘形、叶柄宽、和叶柄厚，多样性指数最低的为叶形；基于各种质间叶部性状的遗传差异，在遗传距离为12.5时将来自不同国家的121份种质资源分为4大类。第Ⅰ类群甜菜种质资源主要来自中国、美国、意大利和比利时，第Ⅱ类群甜菜种质资源主要来自俄罗斯、美国和中国，第Ⅲ类群甜菜种质资源主要来中国、美国、俄罗斯和比利时，第Ⅳ类群甜菜种质资源主要来自中国、意大利、美国、比利时和俄罗斯。聚类结果表明，不同国家的种质资源多样性较丰富，充分了解了甜菜种质资源叶部性状遗传多样性地理分布特点和种质资源群间的遗传关系，对于鉴别特异种质，挖掘优异种质材料具有现实意义。
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| 关 键 词： | 快速城镇化 快速城镇化 乡村发展 城乡统筹 村镇体系 |
| 收稿时间： | 2015-05-25 |
| 修稿时间： | 2015-06-05 |
Phenotypic Diversity and Clustering Analysis of Leaf Traits in Sugar Beet |
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| Xing Wang,Pan Rong and Cui Ping. Phenotypic Diversity and Clustering Analysis of Leaf Traits in Sugar Beet[J]. Chinese Agricultural Science Bulletin, 2015, 31(30): 155-161. DOI: 10.11924/j.issn.1000-6850.casb15050140 |
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| Authors: | Xing Wang Pan Rong Cui Ping |
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| Affiliation: | (;1.Crop Academy of Heilongjiang University, Harbin 150080;2.Sugarbeet Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150080) |
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| Abstract: | Both morphologic traits and agronomic traits of 121 sugar beet germplasm resources from home and abroad were studied on genetic diversity and cluster analysis to exploit the potentialities and promote the breeding of new cultivars and effective application of germplasm resources. Results showed that the investigation and analysis of 9 leaf morphological characters indicated that the diversity index of leaf blade thick was the highest, followed by leaf color, petiole length, leaf surface shape, petiole color, leaf margin shape, petiole width, petiole thick, and the least was leaf shape. Based on the genetic differentiations of leaf traits, 121 sugar beet varieties were divided into 4 groups by cluster analysis of leaf traits at 12.5 genetic distance by software SPSS 22.0. There were plenty of variations among varieties from different countries. Group Ⅰ of beet germplasm resources mainly came from China, United States, Italy and Belgium; group Ⅱ of beet germplasm resources mainly came from Russia, United States and China; group Ⅲ of beet germplasm resources mainly came from China, United States, Russia and Belgium; group Ⅳ of beet germplasm resources mainly came from China, Italy, United States, Belgium and Russia. To fully understand the leaf character distribution characteristics and the genetic diversity of beet germplasm, and the genetic relationship among the groups of germplasm resources has practical significance to identify specific germplasm and mining the excellent germplasm material. |
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| Keywords: | sugar beet leaf character index of diversity cluster analysis |
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