Article(id=1236256429259149661, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236256428533535066, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-2561.2023.11.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1688054400000, receivedDateStr=2023-06-30, revisedDate=1694707200000, revisedDateStr=2023-09-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1772676101269, onlineDateStr=2026-03-05, pubDate=1700841600000, pubDateStr=2023-11-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772676101269, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772676101269, creator=13701087609, updateTime=1772676101269, updator=13701087609, issue=Issue{id=1236256428533535066, tenantId=1146029695717560320, journalId=1235980609244409860, year='2023', volume='44', issue='11', pageStart='2135', pageEnd='2353', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772676101096, creator=13701087609, updateTime=1772703795208, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236372586125390480, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236256428533535066, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236372586125390481, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236256428533535066, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=2227, endPage=2235, ext={EN=ArticleExt(id=1236256429481447778, articleId=1236256429259149661, tenantId=1146029695717560320, journalId=1235980609244409860, language=EN, title=Numerical Classification of Phalaenopsis Flower Colour Based on Phenotype, columnId=1236256431436002236, journalTitle=Chinese Journal of Tropical Crops, columnName=Special Topic of Orchid Science, runingTitle=null, highlight=null, articleAbstract=

The study aimed to define the floral colour of Phalaenopsis precisely and establish a classification system of Phalaenopsis based on floral colour phenotypes. In this study, the floral colour phenotypes of 146 Phalaenopsis germplasm resources were determined using colourimeter and RHSCC, and the floral colours of each Phalaenopsis were named by cluster analysis and combined with ISCC-NBS system, and the quantitative classification was studied. The results showed that the colour of Phalaenopsis petals and sepals did not differ much, and the lip petals were darker and more colourful than petals and sepals. The classification results based on cluster analysis of L*, a* and b* of petals could not fully characterize the classification of Phalaenopsis flower colours. The ISCC-NBS system divided Phalaenopsis flower colour into yellow, brown, red, violet, pink, purple and white groups. Each group had a preferable correspondence with L*, a* and b* parameters of the CIE Lab system, which could realize the quantitative description of different Phalaenopsis flower colour and the colour group classification was reasonable. Phalaenopsis were rich and colourful, and there were significant differences between different colour groups of Phalaenopsis, but lacking blue-green colour. Overall the brightness and colouration of Phalaenopsis were negatively correlated, and could be divided into two groups, the first type containing yellow, brown, violet, pink, purple and white groups, the second type containing red colour groups.

, correspAuthors=Jun WANG, 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=Shiyao WANG, Guo ZHANG, Shucai YANG, Shuanli JIANG, Ruihua WANG, Jun WANG), CN=ArticleExt(id=1236256429837963623, articleId=1236256429259149661, tenantId=1146029695717560320, journalId=1235980609244409860, language=CN, title=基于表型的蝴蝶兰花色数量分类, columnId=1236256432996283328, journalTitle=热带作物学报, columnName=兰花科学专题, runingTitle=null, highlight=null, articleAbstract=

为精准界定蝴蝶兰的花色,建立基于表型的蝴蝶兰花色数量分类体系。本研究利用分光测色仪和比色卡测定146份蝴蝶兰种质的花色表型,通过聚类分析且结合ISCC-NBS色名表示法对各蝴蝶兰的花色命名,并进行数量分类研究。结果表明:蝴蝶兰花瓣和萼片颜色差异不大,唇瓣相较二者颜色更暗,彩度较大。基于侧花瓣的L*a*b*值聚类分析的分类结果不能完全表征蝴蝶兰花色的分类特点;ISCC-NBS色名表示法将蝴蝶兰花色分为黄、棕、红、紫罗兰、粉、紫、白7大色系,各色系与CIE Lab表色系统的各参数具备较好的对应关系,可实现对不同蝴蝶兰花色的定量描述,色系分类合理;蝴蝶兰花色丰富,且其不同色系的花色存在显著差异,缺乏蓝绿色系;整体上蝴蝶兰花色明度和彩度呈负相关,可分为2个类群,第1类群包含黄、棕、紫罗兰、粉、紫、白色系,第2类群为红色系。

, correspAuthors=王俊, authorNote=null, correspAuthorsNote=
* 王俊(WANG Jun),E-mail:
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王世尧(1996—),男,硕士,研究实习员,研究方向:蝴蝶兰栽培与育种。

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王世尧(1996—),男,硕士,研究实习员,研究方向:蝴蝶兰栽培与育种。

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王世尧(1996—),男,硕士,研究实习员,研究方向:蝴蝶兰栽培与育种。

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基于表型的蝴蝶兰花色数量分类
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王世尧 , 张果 , 杨书才 , 蒋拴丽 , 王瑞华 , 王俊 *
热带作物学报 | 兰花科学专题 2023,44(11): 2227-2235
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热带作物学报 | 兰花科学专题 2023, 44(11): 2227-2235
基于表型的蝴蝶兰花色数量分类
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王世尧, 张果, 杨书才, 蒋拴丽, 王瑞华, 王俊*
作者信息
  • 郑州市农林科学研究所,河南郑州 450005
  • 王世尧(1996—),男,硕士,研究实习员,研究方向:蝴蝶兰栽培与育种。

通讯作者:

* 王俊(WANG Jun),E-mail:
Numerical Classification of Phalaenopsis Flower Colour Based on Phenotype
Shiyao WANG, Guo ZHANG, Shucai YANG, Shuanli JIANG, Ruihua WANG, Jun WANG*
Affiliations
  • Zhengzhou Institute of Agriculture and Forestry Science, Zhengzhou, Henan 450005, China
出版时间: 2023-11-25 doi: 10.3969/j.issn.1000-2561.2023.11.011
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为精准界定蝴蝶兰的花色,建立基于表型的蝴蝶兰花色数量分类体系。本研究利用分光测色仪和比色卡测定146份蝴蝶兰种质的花色表型,通过聚类分析且结合ISCC-NBS色名表示法对各蝴蝶兰的花色命名,并进行数量分类研究。结果表明:蝴蝶兰花瓣和萼片颜色差异不大,唇瓣相较二者颜色更暗,彩度较大。基于侧花瓣的L*a*b*值聚类分析的分类结果不能完全表征蝴蝶兰花色的分类特点;ISCC-NBS色名表示法将蝴蝶兰花色分为黄、棕、红、紫罗兰、粉、紫、白7大色系,各色系与CIE Lab表色系统的各参数具备较好的对应关系,可实现对不同蝴蝶兰花色的定量描述,色系分类合理;蝴蝶兰花色丰富,且其不同色系的花色存在显著差异,缺乏蓝绿色系;整体上蝴蝶兰花色明度和彩度呈负相关,可分为2个类群,第1类群包含黄、棕、紫罗兰、粉、紫、白色系,第2类群为红色系。

蝴蝶兰  /  花色表型  /  数量分类  /  聚类分析  /  ISCC-NBS色名表示法

The study aimed to define the floral colour of Phalaenopsis precisely and establish a classification system of Phalaenopsis based on floral colour phenotypes. In this study, the floral colour phenotypes of 146 Phalaenopsis germplasm resources were determined using colourimeter and RHSCC, and the floral colours of each Phalaenopsis were named by cluster analysis and combined with ISCC-NBS system, and the quantitative classification was studied. The results showed that the colour of Phalaenopsis petals and sepals did not differ much, and the lip petals were darker and more colourful than petals and sepals. The classification results based on cluster analysis of L*, a* and b* of petals could not fully characterize the classification of Phalaenopsis flower colours. The ISCC-NBS system divided Phalaenopsis flower colour into yellow, brown, red, violet, pink, purple and white groups. Each group had a preferable correspondence with L*, a* and b* parameters of the CIE Lab system, which could realize the quantitative description of different Phalaenopsis flower colour and the colour group classification was reasonable. Phalaenopsis were rich and colourful, and there were significant differences between different colour groups of Phalaenopsis, but lacking blue-green colour. Overall the brightness and colouration of Phalaenopsis were negatively correlated, and could be divided into two groups, the first type containing yellow, brown, violet, pink, purple and white groups, the second type containing red colour groups.

Phalaenopsis  /  flower colour phenotype  /  numerical classification  /  cluster analysis  /  ISCC-NBS method
王世尧, 张果, 杨书才, 蒋拴丽, 王瑞华, 王俊. 基于表型的蝴蝶兰花色数量分类. 热带作物学报, 2023 , 44 (11) : 2227 -2235 . DOI: 10.3969/j.issn.1000-2561.2023.11.011
Shiyao WANG, Guo ZHANG, Shucai YANG, Shuanli JIANG, Ruihua WANG, Jun WANG. Numerical Classification of Phalaenopsis Flower Colour Based on Phenotype[J]. Chinese Journal of Tropical Crops, 2023 , 44 (11) : 2227 -2235 . DOI: 10.3969/j.issn.1000-2561.2023.11.011
  • 河南省重点研发与推广专项(科技攻关)(232102111101)
  • 河南省林木种质资源建设项目(豫财环资[2023]60号)
2023年第44卷第11期
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文章信息
doi: 10.3969/j.issn.1000-2561.2023.11.011
  • 接收时间:2023-06-30
  • 首发时间:2026-03-05
  • 出版时间:2023-11-25
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  • 收稿日期:2023-06-30
  • 修回日期:2023-09-15
基金
河南省重点研发与推广专项(科技攻关)(232102111101)
河南省林木种质资源建设项目(豫财环资[2023]60号)
作者信息
    郑州市农林科学研究所,河南郑州 450005

通讯作者:

* 王俊(WANG Jun),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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