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作物学报 ›› 2017, Vol. 43 ›› Issue (08): 1234-1244.doi: 10.3724/SP.J.1006.2017.01234

• 耕作栽培·生理生化 • 上一篇    下一篇

甘薯块根硬度与干物质含量的相关性

唐道彬1,2,**,安建刚2,**,丁祎2,白慧2,张凯2,吕长文2,傅体华1,*,王季春2,*   

  1. 1四川农业大学农学院,四川成都611130;2西南大学农学与生物科技学院/西南大学南方山地农业教育部工程研究中心/重庆市甘薯工程技术研究中心**,重庆400716
  • 收稿日期:2016-11-18 修回日期:2017-04-18 出版日期:2017-08-12 发布日期:2017-05-11
  • 通讯作者: 傅体华, E-mail: futihua@sina.com; 王季春, E-mail: wchun1963@163.com E-mail:tdbin741023@163.com
  • 基金资助:

    本研究由重庆市社会事业与民生保障科技创新专项重大项目(cstc2015shms-ztzx80001, cstc2015shms-ztzx80002, cstc2015shms-ztzx80003, cstc2015shms-ztzx80004)资助。

Correlation between Hardness and Dry-matter Content of Storage Root in Sweetpotato[Ipomoea batatas (L.)Lam.]

TANG Dao-Bin1,2,AN Jian-Gang2,DING Yi2,BAI Hui2,ZHANG Kai2, LYU Chang-Wen2,FUTi-Hua1,*,WANG Ji-Chun2,*   

  1. 1College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China;2College of Agronomy and Biotechnology, Southwest University/Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University/Sweetpotato Engineering and Technology Research Center, Chongqing, 400716,China
  • Received:2016-11-18 Revised:2017-04-18 Online:2017-08-12 Published:2017-05-11
  • Contact: Fu tihua, E-mail: futihua@sina.com; Wang jichen, E-mail: wchun1963@163.com E-mail:tdbin741023@163.com
  • Supported by:

    This study was supported by the Technology Innovation Fund of Chongqing(cstc2015shms-ztzx80001, cstc2015shms-ztzx80002, stc2015shms-ztzx80003, cstc2015shms-ztzx80004).

摘要:

分别采用硬度测定法和烘干法,测试129份甘薯品种(系)块根不同部位的硬度值与干物质含量,构建甘薯各部位硬度与干物质含量的线性回归方程,以探讨甘薯硬度与干物质含量的关系,以及甘薯硬度与干物质含量分级标准。结果表明,129份甘薯材料的块根干物质含量与硬度均可划分为服从正态分布的5级,其平均分布频率为10.00%、19.12%、40.88%、20.88%和9.12%;甘薯不同部位硬度之间存在显著差异;其硬度值表现为径向切割心部>径向切割中部>轴向切割尾部>轴向切割头部>轴向切割心部>轴向切割中部;甘薯硬度与干物质含量呈极显著正相关,以径向切割心部与径向切割中部硬度的平均值建立甘薯干物质含量与硬度间的回归方程为y=0.6743x+3.6184(20≤x≤60,R2=0.712192);用该回归方程验证20个样品集,计算所得干物质含量值与测定值相对误差为0.2%,表明该回归方程可用于准确、快速、低消耗测定甘薯块根干物质含量,指导甘薯育种实践。

关键词: 甘薯, 硬度, 干物质含量, 相关性, 回归方程, 概率分级

Abstract:

To explore the correlation and to discuss the classification standard of hardness and dry-matter contentof sweetpotato, collectedand determined 129 sweetpotato varieties (lines) by using sclerometer and drying method, respectively, and the linear regression equation was established based on the correlation between hardness and dry-matter content values. The dry-matter content and hardness of storage root in the 129 sweetpotato varieties (lines) could be divided into five grades with normal distribution, which proportions were 10.00%, 19.12%, 40.88%, 20.88%, and 9.12%, respectively. There were significant differences in hardness among different parts of storage root,ranking as: the core site of radial cuttingsurface>the middle site of radial cutting surface >the tail site of axial cutting surface>the head site of axial cutting surface>the core site of axial cutting surface >the middle site of axial cutting surface. There was significant positive correlation between hardness and dry-matter content of storage root. By using the mean value of hardness at core and middle parts of storage root after radial cutting, the dry matter content could be well predicted by using the regression equation y=0.6743x+3.6184 (20≤x≤60,R2=0.712192).This equation was validated in evaluation of the dry matter content in 20 sweet potato varieties (lines), and the relative error between estimated value and measured value was 0.2%. This result demonstrated that the equation obtained in this study could be used for accurate, fast and low cost measurement of dry matter content insweetpotato production and breeding.

Key words: 甘薯, 硬度, 干物质含量, 相关性, 回归方程, 概率分级

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