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中国农学通报 ›› 2025, Vol. 41 ›› Issue (10): 66-71.doi: 10.11924/j.issn.1000-6850.casb2024-0544

• 林学·园艺·园林 • 上一篇    下一篇

适宜芽苗菜生产的花生品种筛选

于复欣1,2(), 陈泽昌1, 李鑫1, 王钰森1, 姜晴月3, 唐艳艳1,2, 王晶珊1,2, 乔利仙1,2()   

  1. 1 青岛农业大学农学院/中美花生品质改良国际合作联合实验室,山东青岛 266109
    2 东营青农大盐碱地高效农业科学技术产业研究院,山东东营 257091
    3 青岛新东方双语学校,山东平度 266799
  • 收稿日期:2024-08-28 修回日期:2025-02-20 出版日期:2025-04-05 发布日期:2025-04-03
  • 通讯作者:
    乔利仙,女,1973年出生,山西晋中人,教授,博士,主要从事花生基因克隆、遗传转化及分子育种方面的研究工作。通信地址:266109 青岛市城阳区长城路700号 青岛农业大学,E-mail:
  • 作者简介:

    于复欣,男,1999年出生,山东潍坊人,硕士研究生在读,研究方向为花生遗传育种。通信地址:266109 青岛市城阳区长城路700号 青岛农业大学,E-mail:

  • 基金资助:
    山东省盐碱地农业产业体系“耐盐碱作物筛选及种质资源开发”(SDAIT-29-03); 青岛市科技局中央引导地方科技发展专项“优势特色、野生和濒危种质资源搜集保存利用研究”(23-1-3-8-zyyd-nsh); 山东省重点研发计划“花生抗旱耐盐表型高通量获取系统研制与模型开发”(2021LZGC026-07)

Selection of Peanut Varieties Suitable for Sprout Vegetable Production

YU Fuxin1,2(), CHEN Zechang1, LI Xin1, WANG Yusen1, JIANG Qingyue3, TANG Yanyan1,2, WANG Jingshan1,2, QIAO Lixian1,2()   

  1. 1 College of Agronomy, Qingdao Agricultural University/ Shandong Collaborative Innovation Center for Flower Production, Qingdao, Shandong 266109
    2 Research Institute of Saline-alkali High Efficiency Agricultural Technology, Qingdao Agricultural University, Dongying, Shandong 257091
    3 Qingdao New Oriental Bilingual School, Pingdu, Shandong 266799
  • Received:2024-08-28 Revised:2025-02-20 Published:2025-04-05 Online:2025-04-03

摘要:

为解决花生芽苗菜品种缺乏的问题,以15个花生品种为材料,利用沙培法进行萌发培养,暗培养5 d后收获花生芽苗菜,并对其生物量指标、营养指标、口感指标等进行检测,将各项指标作为芽苗菜生产评判标准的指标要素,利用隶属函数法和层次分析法构建判断矩阵,通过数学方法分析各因素影响权重,计算适宜芽苗菜生产的综合评价值D值。通过对D值进行聚类分析,从15个供试花生品种中筛选出‘宇花33号’、‘宇花30号’、‘宇花18号’3个适于芽苗菜生产的品种,‘宇花12号’等3个比较适用于芽苗菜生产的品种,‘宇花32号’等9个不适用于芽苗菜生产的品种。

关键词: 花生, 芽苗菜, 沙培法, 下胚轴, 层次分析法, 隶属函数法

Abstract:

In order to solve the problem of the lack of peanut sprout varieties, 15 peanut varieties were used as experimental materials, sand cultured seedlings were harvested after 5 days, and the biomass, nutritional, and taste indicators of the seedlings were tested. Using these indicators as the evaluation criteria for sprout vegetable production, a judgment matrix was constructed using the membership function method and analytic hierarchy process. The influence weights of each factor were analyzed mathematically to calculate the total evaluation value D value suitable for sprout vegetable production. Through cluster analysis of the D values of 15 peanut varieties, three varieties suitable for sprout vegetable production, namely ‘Yuhua 33’, ‘Yuhua 30’, and ‘Yuhua 18’, were selected from the 15 tested varieties. Three varieties, including ‘Yuhua 12’, were relatively suitable for sprout vegetable production, while nine varieties, including ‘Yuhua 32’, were not suitable for sprout vegetable production.

Key words: peanut, sprouting vegetable, sand culture, hypocotyl, analytic hierarchy process (AHP), membership function method