WANG Feng,CAO Hui,ZHANG Xiaoshen.Introduction and Yield Charactertics Analysis of Fifteen Strawberry Varieties in Zhengzhou[J].Northern Horticulture,2022,(19):15-22.[doi:10.11937/bfyy.20221510]
十五个草莓品种在郑州的引种及产量性状分析
- Title:
- Introduction and Yield Charactertics Analysis of Fifteen Strawberry Varieties in Zhengzhou
- Keywords:
- strawberry; introduction; agronomic traits; output; grey correlation
- 文献标志码:
- A
- 摘要:
- 以引进的15个草莓品种为试材,采用塑料大棚内单垄双行种植方法,研究了15个草莓品种的植株生长、果实品质、产量和抗病性,并对其单株产量相关农艺性状进行灰色相关性分析,筛选出适合郑州栽培的草莓品种,以期为丰富郑州地区草莓品种结构和推广新品种提供参考依据。结果表明:适合郑州栽培的草莓品种为“甜查理”“甘露”“宁玉”和“山东2号”;6个草莓农艺性状对单株产量影响的大小顺次为花序数>平均果质量>叶片数>叶面积>株高>冠幅,花序数对单株产量的影响最大,平均果质量次之。说明在草莓引种和育种中,花序数和平均果质量是重要的农艺性状指标。
- Abstract:
- Taking 15 introduced strawberry varieties as test materials,the plant growth,fruit quality,yield and disease resistance of 15 strawberry varieties were studied by using the single ridge and double row planting method in plastic greenhouses.The agronomic characters related to the yield of a single plant were analyzed by grey correlation analysis,and the strawberry varieties suitable for cultivation in Zhengzhou were screened out,in order to provide reference for grass research to enrich the strawberry variety structure and promote new varieties in Zhengzhou. The results showed that the strawberry varieties ‘Tianchali’‘Ganlu’‘Ningyu’ and ‘Shandong 2’ were suitable for cultivation in Zhengzhou.The order of the effects of the six agronomic traits on the yield per plant was inflorescence number>average fruit weight>leaf number>leaf area>plant height>crown width.The number of inflorescences had the greatest effect on the yield per plant,followed by the average fruit weight.It showed that the number of inflorescences and average fruit weight were important agronomic characters in strawberry introduction and breeding.
参考文献/References:
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[J].Northern Horticulture,2000,24(19):0.[doi:10.11937/bfyy.200002019]
备注/Memo
第一作者简介:王峰(1976-),男,本科,高级农艺师,现主要从事园艺作物新品种引进及新技术试验示范和推广等工作。E-mail:wangfeng166@126.com.责任作者:张晓申(1976-),男,博士,副研究员,现主要从事园艺作物栽培与生理生态等研究工作。E-mail:nkszc@126.com.基金项目:河南省农业领域科技攻关资助项目(172102110140)。收稿日期:2022-04-14