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耐机械损伤菠菜品种的比较实验
引用本文:孔猛,葛晨辉,任丽,尹露,王全华,徐晨曦.耐机械损伤菠菜品种的比较实验[J].上海师范大学学报(自然科学版),2022,51(1):101-109.
作者姓名:孔猛  葛晨辉  任丽  尹露  王全华  徐晨曦
作者单位:1. 上海师范大学生命科学学院;2. 上海师范大学植物种质资源开发协同创新中心
基金项目:上海市部分地方院校能力建设专项(19070502600);上海植物种质资源工程技术研究中心项目(17DZ2252700);上海市协同创新中心项目(ZF1205)
摘    要:对2020年引进的6个耐机械损伤菠菜品种(Sp001,Sp002,Sp021,Sp031,Sp061和皇10-3)在设施大棚进行了鉴定与比较实验,分析了6个菠菜品种的植物学性状、营养指标和质构特性的差异.结果表明:不同品种之间的基本植物学性状无显著差异,但不同品种间叶片硬度、叶片长/叶柄长、抗坏血酸和硝态氮含量等存在显...

关 键 词:菠菜  相关性分析  主成分分析  综合评价
收稿时间:2021/12/5 0:00:00

Comparative test on identification of spinach varieties resistant to mechanical damage
KONG Meng,GE Chenhui,REN Li,YIN Lu,WANG Quanhu,XU Chenxi.Comparative test on identification of spinach varieties resistant to mechanical damage[J].Journal of Shanghai Normal University(Natural Sciences),2022,51(1):101-109.
Authors:KONG Meng  GE Chenhui  REN Li  YIN Lu  WANG Quanhu  XU Chenxi
Institution:College of Life Sciences, Shanghai Normal University, Shanghai 200234, China;Development Center of Plant Germplasm Resources, Shanghai Normal University, Shanghai 200234, China
Abstract:In this study, six spinach (Spinacia oleracea L.) varieties (Sp001, Sp002, Sp021, Sp031, Sp061 and Huang 10-3) introduced in 2020 were identified and comparing tested in the greenhouse. The differences of their botanical characters, nutritional indexes and texture characteristics among six spinach varieties were analyzed. There was no significant difference in basic botanical characters among different varieties. There were significant differences in the contents of cellulose, ascorbic acid, carotenoid, soluble sugar, soluble protein and nitrate nitrogen among different varieties, and the coefficient of variation was 10.37%-19.16%. The conclusion of comprehensive comparative analysis is that Sp031 has the highest leaf thickness and leaf hardness, the highest ratio of leaf length and petiol length the best botanical characters, good comprehensive quality characters. Thus Sp031 is the most suitable variety for mechanized harvest among the 6 varieties.
Keywords:spinach (Spinacia oleracea L  )  correlation analysis  principal component analysis  comprehensive evaluation
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