[1]张淑霞,杨晓云,张清霞,等.苗用白菜主要农艺性状与单株产量的灰色关联度分析[J].北方园艺,2018,42(15):1-5.[doi:10.11937/bfyy.20180432]
　ZHANG Shuxia,YANG Xiaoyun,ZHANG Qingxia,et al.Grey Correlation Degree Analysis on Main Agronomic Characteristics With Single Plant Yield of Seedling-edible Chinese Cabbage[J].Northern Horticulture,2018,42(15):1-5.[doi:10.11937/bfyy.20180432]
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苗用白菜主要农艺性状与单株产量的灰色关联度分析

《北方园艺》[ISSN:1001-0009/CN:23-1247/S] 卷: 第42卷 期数: 2018年15 页码: 1-5 栏目: 出版日期: 2018-06-15
Title:
Grey Correlation Degree Analysis on Main Agronomic Characteristics With Single Plant Yield of Seedling-edible Chinese Cabbage
作者:
张淑霞; 杨晓云; 张清霞; 司朝光
（青岛市农业科学研究院，山东 青岛 266100）
Author(s):
ZHANG Shuxia; YANG Xiaoyun; ZHANG Qingxia; SI Chaoguang
(Qingdao Academy of Agricultural Science,Qingdao,Shandong 266100)
关键词:
苗用白菜; 单株产量; 农艺性状; 灰色关联度
Keywords:
seedling-edible Chiese cabbage; yield per plant; agronomic characteristics; grey correlation degree
DOI:
10.11937/bfyy.20180432
文献标志码:
A
摘要:
以23个苗用白菜杂交组合为试材，应用灰色关联度分析方法对影响苗用白菜单株产量的主要农艺性状进行了分析，以期为苗用白菜高产育种提供科学依据。结果表明：与单株产量相关的农艺性状中，最大叶叶柄厚度、宽度及叶片宽度排在前3位，整体性状的重要性排序为最大叶叶柄厚>最大叶叶柄宽>最大叶叶宽>采收时叶片数>最大叶叶柄长>最大叶叶长>株幅>株高。
Abstract:
Twenty-three seedling-edible Chinese cabbage hybrid combinations were used as materials,the main agronomic characteristics affecting the yield per plant were studied with the method of grey correlation degree analysis,in order to provide scientific basis for the seedling-edible Chinese cabbage breeding selection on high yield.The results showed that the maximum leaf petiole thickness,width and leaf width of the agromic characteristics related to yield per plant ranked in the top three.The total order was as follows:maximum leaf petiole thickness>maximum leaf petiole width>maximum leaf width>number leaves when harvesting>maximum leaf stalk length>maximum leaf length>development degree>plant height.The contribution of main agronomic characteristics to yield per plant was clarified.

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备注/Memo

第一作者简介：张淑霞(1971-)，女，硕士，副研究员，现主要从事蔬菜遗传育种等研究工作。E-mail:smppe@126.com.责任作者：杨晓云(1968-)，女，博士，研究员，现主要从事蔬菜遗传育种等研究工作。基金项目：国家重点研发计划资助项目（2017YFD0101801）；山东省现代农业产业技术体系蔬菜创新团队建设资助项目（SDAIT-02-022-01）；山东省农业科学院农业科技创新工程资助项目（CXGC2017B01-SC）。收稿日期：2018-03-21

更新日期/Last Update: 2018-08-23