Article(id=1236340105737196099, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236340101991691008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-2561.2023.03.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654531200000, receivedDateStr=2022-06-07, revisedDate=1657209600000, revisedDateStr=2022-07-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1772696051296, onlineDateStr=2026-03-05, pubDate=1679673600000, pubDateStr=2023-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772696051296, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772696051296, creator=13701087609, updateTime=1772696051296, updator=13701087609, issue=Issue{id=1236340101991691008, tenantId=1146029695717560320, journalId=1235980609244409860, year='2023', volume='44', issue='3', pageStart='447', pageEnd='660', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772696050403, creator=13701087609, updateTime=1772696379070, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236341480579715870, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236340101991691008, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236341480579715871, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236340101991691008, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=494, endPage=505, ext={EN=ArticleExt(id=1236340106156626510, articleId=1236340105737196099, tenantId=1146029695717560320, journalId=1235980609244409860, language=EN, title=Research on Diversity of Phalaenopsis Germplasm Resources Based on Flowers Phenotype Traits, columnId=1236256430060261740, journalTitle=Chinese Journal of Tropical Crops, columnName=Germplasm Resources, Genetics & Breeding, runingTitle=null, highlight=null, articleAbstract=

In this study, 27 phenotypic traits of the floral organs of 135 Phalaenopsis varieties were observed and analyzed to provide a theoretical basis for the utilization of Phalaenopsis germplasm resources and the directional breeding of new varieties. 135 Phalaenopsis germplasm resources collected and preserved in the Fuzhou Branch of the New Plant Variety Testing Center of the Ministry of Agriculture and Rural Affairs were used as the test materials to collect data on 27 phenotypic traits of Phalaenopsis orchid organs and analyze the flower phenotypic traits. The distribution frequency, coefficient of variation, Simpson index and Shannon-Wiener index, and correlation, principal component and cluster analysis of quantitative traits were studied. The majority of butterfly orchid organs were violet petals, racemes, separated petals and no fragrance, which accounted for 31.85%, 60.74%, 79.26% and 84.44% of the corresponding description distribution frequencies respectively. The Simpson index and Shannon-Wiener index of the lobes in the lip were the highest, 0.992 and 7.047, respectively, and the diversity was the most abundant. The variation coefficient of quantitative traits ranged from 19.79% to 52.72%, of which the coefficient of variation of the number of inflorescences was the largest, which was 52.72%. Most of the main quantitative traits had extremely significant positive correlations. Principal component analysis extracted 3 quantitative traits as the representative traits for evaluating Phalaenopsis phenotypic traits, and calculated comprehensive scores. The top 3 were 'JB2312', 'Wanhuayanhuo' and 'Dongfanghong' respectively. The R-type cluster analysis showed that the 16 quantitative traits of Phalaenopsis could be divided into 4 categories, and the Q-type cluster analysis showed that the 135 Phalaenopsis varieties were divided into 5 major species groups. Our research indicates that the flower phenotypes of 135 Phalaenopsis varieties have rich genetic diversity.

, correspAuthors=Zhonghua LIU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Jianfeng CHEN, Shengyuan ZHONG, Yuhua CHEN, Haifeng ZHONG, Hui ZHANG, Zhonghua LIU), CN=ArticleExt(id=1236340106492170842, articleId=1236340105737196099, tenantId=1146029695717560320, journalId=1235980609244409860, language=CN, title=基于花表型性状的蝴蝶兰品种资源多样性研究, columnId=1236256430219645304, journalTitle=热带作物学报, columnName=种质资源与遗传育种, runingTitle=null, highlight=null, articleAbstract=

本研究对135个蝴蝶兰品种花器官的27个表型性状进行观测并分析,为蝴蝶兰花种质资源的利用及新品种的定向选育提供理论依据。以收集保存于农业农村部植物新品种测试福州分中心的135个蝴蝶兰品种为试验材料,对蝴蝶兰花器官的27个表型性状进行数据采集,分析了花表型性状的分布频率、变异系数、辛普森(Simpson)指数和香农-威纳(Shannon-Wiener)指数,并对数量性状进行相关性、主成分和聚类分析。结果表明,蝴蝶兰花器官以花瓣紫罗兰色、总状花序、花瓣分开排列和无香味等类型居多,分别占相对应描述分布频率的31.85%、60.74%、79.26%和84.44%;唇瓣中裂片长的Simpson指数和Shannon-Wiener指数最高,分别为0.992和7.047,多样性最为丰富;数量性状变异系数变化范围为19.79%~52.72%,其中花序花数量的变异系数最大,为52.72%;主要数量性状之间大多呈极显著正相关;主成分分析提取出3个数量性状作为蝴蝶兰花表型性状评价的代表性状,计算得到综合分值,排名前3的分别为‘JB2312’、‘万花焰火’和‘东方红’;R型聚类分析显示,蝴蝶兰花的16个数量性状可划分为4类,Q型聚类分析显示,135个蝴蝶兰品种被划分为5大品种群。研究表明135个蝴蝶兰品种花的表型具有丰富的遗传多样性。

, correspAuthors=刘中华, authorNote=null, correspAuthorsNote=
* 刘中华(LIU Zhonghua),E-mail:
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陈剑锋(1979—),男,本科,助理研究员,研究方向:植物新品种DUS测试及种质资源。

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陈剑锋(1979—),男,本科,助理研究员,研究方向:植物新品种DUS测试及种质资源。

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陈剑锋(1979—),男,本科,助理研究员,研究方向:植物新品种DUS测试及种质资源。

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基于花表型性状的蝴蝶兰品种资源多样性研究
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陈剑锋 1, 2, 3 , 钟声远 1, 2, 3 , 陈宇华 1, 2, 3 , 钟海丰 1, 2, 3 , 张荟 1, 2, 3 , 刘中华 1, 2, 3, *
热带作物学报 | 种质资源与遗传育种 2023,44(3): 494-505
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热带作物学报 | 种质资源与遗传育种 2023, 44(3): 494-505
基于花表型性状的蝴蝶兰品种资源多样性研究
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陈剑锋1, 2, 3, 钟声远1, 2, 3, 陈宇华1, 2, 3, 钟海丰1, 2, 3, 张荟1, 2, 3, 刘中华1, 2, 3, *
作者信息
  • 1.福建省农业科学院作物研究所,福建福州 350013
  • 2.农业农村部植物新品种测试福州分中心,福建福州 350013
  • 3.福建省植物品种测试中心,福建福州 350013
  • 陈剑锋(1979—),男,本科,助理研究员,研究方向:植物新品种DUS测试及种质资源。

通讯作者:

* 刘中华(LIU Zhonghua),E-mail:
Research on Diversity of Phalaenopsis Germplasm Resources Based on Flowers Phenotype Traits
Jianfeng CHEN1, 2, 3, Shengyuan ZHONG1, 2, 3, Yuhua CHEN1, 2, 3, Haifeng ZHONG1, 2, 3, Hui ZHANG1, 2, 3, Zhonghua LIU1, 2, 3, *
Affiliations
  • 1.Crop Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian 350013, China
  • 2.Fuzhou Sub-center for New Plant Variety Tests, Ministry of Agriculture and Rural Affairs, Fuzhou, Fujian 350013, China
  • 3.Fujian Plant Variety Testing Center, Fuzhou, Fujian 350013, China
出版时间: 2023-03-25 doi: 10.3969/j.issn.1000-2561.2023.03.006
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本研究对135个蝴蝶兰品种花器官的27个表型性状进行观测并分析,为蝴蝶兰花种质资源的利用及新品种的定向选育提供理论依据。以收集保存于农业农村部植物新品种测试福州分中心的135个蝴蝶兰品种为试验材料,对蝴蝶兰花器官的27个表型性状进行数据采集,分析了花表型性状的分布频率、变异系数、辛普森(Simpson)指数和香农-威纳(Shannon-Wiener)指数,并对数量性状进行相关性、主成分和聚类分析。结果表明,蝴蝶兰花器官以花瓣紫罗兰色、总状花序、花瓣分开排列和无香味等类型居多,分别占相对应描述分布频率的31.85%、60.74%、79.26%和84.44%;唇瓣中裂片长的Simpson指数和Shannon-Wiener指数最高,分别为0.992和7.047,多样性最为丰富;数量性状变异系数变化范围为19.79%~52.72%,其中花序花数量的变异系数最大,为52.72%;主要数量性状之间大多呈极显著正相关;主成分分析提取出3个数量性状作为蝴蝶兰花表型性状评价的代表性状,计算得到综合分值,排名前3的分别为‘JB2312’、‘万花焰火’和‘东方红’;R型聚类分析显示,蝴蝶兰花的16个数量性状可划分为4类,Q型聚类分析显示,135个蝴蝶兰品种被划分为5大品种群。研究表明135个蝴蝶兰品种花的表型具有丰富的遗传多样性。

蝴蝶兰  /  花  /  表型性状  /  多样性

In this study, 27 phenotypic traits of the floral organs of 135 Phalaenopsis varieties were observed and analyzed to provide a theoretical basis for the utilization of Phalaenopsis germplasm resources and the directional breeding of new varieties. 135 Phalaenopsis germplasm resources collected and preserved in the Fuzhou Branch of the New Plant Variety Testing Center of the Ministry of Agriculture and Rural Affairs were used as the test materials to collect data on 27 phenotypic traits of Phalaenopsis orchid organs and analyze the flower phenotypic traits. The distribution frequency, coefficient of variation, Simpson index and Shannon-Wiener index, and correlation, principal component and cluster analysis of quantitative traits were studied. The majority of butterfly orchid organs were violet petals, racemes, separated petals and no fragrance, which accounted for 31.85%, 60.74%, 79.26% and 84.44% of the corresponding description distribution frequencies respectively. The Simpson index and Shannon-Wiener index of the lobes in the lip were the highest, 0.992 and 7.047, respectively, and the diversity was the most abundant. The variation coefficient of quantitative traits ranged from 19.79% to 52.72%, of which the coefficient of variation of the number of inflorescences was the largest, which was 52.72%. Most of the main quantitative traits had extremely significant positive correlations. Principal component analysis extracted 3 quantitative traits as the representative traits for evaluating Phalaenopsis phenotypic traits, and calculated comprehensive scores. The top 3 were 'JB2312', 'Wanhuayanhuo' and 'Dongfanghong' respectively. The R-type cluster analysis showed that the 16 quantitative traits of Phalaenopsis could be divided into 4 categories, and the Q-type cluster analysis showed that the 135 Phalaenopsis varieties were divided into 5 major species groups. Our research indicates that the flower phenotypes of 135 Phalaenopsis varieties have rich genetic diversity.

Phalaenopsis  /  flower  /  phenotypic character  /  diversity
陈剑锋, 钟声远, 陈宇华, 钟海丰, 张荟, 刘中华. 基于花表型性状的蝴蝶兰品种资源多样性研究. 热带作物学报, 2023 , 44 (3) : 494 -505 . DOI: 10.3969/j.issn.1000-2561.2023.03.006
Jianfeng CHEN, Shengyuan ZHONG, Yuhua CHEN, Haifeng ZHONG, Hui ZHANG, Zhonghua LIU. Research on Diversity of Phalaenopsis Germplasm Resources Based on Flowers Phenotype Traits[J]. Chinese Journal of Tropical Crops, 2023 , 44 (3) : 494 -505 . DOI: 10.3969/j.issn.1000-2561.2023.03.006
  • 福建省属公益类科研院所专项(2021R1031009)
  • 农业农村部申请保护品种DUS测试及已知品种库维护项目(202135010400019)
2023年第44卷第3期
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doi: 10.3969/j.issn.1000-2561.2023.03.006
  • 接收时间:2022-06-07
  • 首发时间:2026-03-05
  • 出版时间:2023-03-25
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出版历史
  • 收稿日期:2022-06-07
  • 修回日期:2022-07-08
基金
福建省属公益类科研院所专项(2021R1031009)
农业农村部申请保护品种DUS测试及已知品种库维护项目(202135010400019)
作者信息
    1.福建省农业科学院作物研究所,福建福州 350013
    2.农业农村部植物新品种测试福州分中心,福建福州 350013
    3.福建省植物品种测试中心,福建福州 350013

通讯作者:

* 刘中华(LIU Zhonghua),E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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