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[1]李家玉** 李立 冯常青 张清旭 张伟彬 何海斌.稻/稗共培抑草圈法结合主成分-聚类分析法筛选化感潜力水稻品种[J].应用与环境生物学报,2021,27(04):1-11.[doi:10.19675/j.cnki.1006-687x.2020.07063]
 LI Jiayu,**,LI Li,et al.Screening allelopathic rice cultivar by inhibitory-circle method in combination with principal component and cluster analysis[J].Chinese Journal of Applied & Environmental Biology,2021,27(04):1-11.[doi:10.19675/j.cnki.1006-687x.2020.07063]
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稻/稗共培抑草圈法结合主成分-聚类分析法筛选化感潜力水稻品种()
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《应用与环境生物学报》[ISSN:1006-687X/CN:51-1482/Q]

卷:
27卷
期数:
2021年04期
页码:
1-11
栏目:
研究论文
出版日期:
2021-08-25

文章信息/Info

Title:
Screening allelopathic rice cultivar by inhibitory-circle method in combination with principal component and cluster analysis
作者:
李家玉12** 李立1 冯常青1 张清旭1 张伟彬1 何海斌12
1福建农林大学生命科学学院 福州 350002
2福建省农业生态过程与安全监控重点实验室 福州 350002
Author(s):
LI Jiayu1 2** LI Li1 Feng Changqin1 ZHANG Qinxu1 ZHANG Weibin1 & HE Haibin 1 2**
1 College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2 Fujian Provincial Key Laboratory of Agroecological Processing and Safety Monitoring, Fuzhou 350002, China
关键词:
水稻化感作用抑草圈筛选酚酸主成分分析聚类分析
Keywords:
rice allelopathy inhibitory-circle screening phenolic acid principal component analysis cluster analysis
DOI:
10.19675/j.cnki.1006-687x.2020.07063
摘要:
筛选具有化感潜力的水稻是利用水稻化感作用进行杂草防控的重要工作。利用前期建立的有效种植体系-稻/稗共培抑草圈土壤盆栽法,测定了14个水稻品种的6种化感潜力指标,结合主成分分析-聚类分析法进行归类分析得出潜在的化感水稻品种,再利用HPLC法对这些水稻叶片酚酸化感物质含量进行验证聚类分析的结果。结果显示,无论是哪一种化感潜力指标,国际公认的化感水稻PI312777和Taichung Native1均显著高于非化感水稻Lemont,但其他11种水稻的变化趋势不一致。经过主成分分析得到的2个主成分反映了原化感潜力测定指标信息的86.55%,后根据14个水稻品种的主成分得分进行聚类分析,三种水稻可以归于化感水稻一类。HPLC分析结果表明,水稻品种371叶片酚酸总量与PI312777相比无显著差异,其他两种水稻187和287与Taichung Native1相比无显著差异,与聚类分析的归类结果基本一致。本研究表明利用抑草圈种植筛选系统,结合主成分分析法和聚类分析法可以准确地筛选出化感潜力水稻,本次筛选出来的水稻品种371、187和287号均可以作为潜在的化感水稻进行后续研究。(图6参35)
Abstract:
Screening crop accessions for allelopathic activity is of paramount importance for rice allelopathy research. In this paper, 14 rice cultivars were planted by inhibitory-circle method with rice/ barnyard grass co-cultured in pot soil. Six allelopathic indices of the 14 rice cultivars were measured and classified by principal component analysis and cluster analysis, and the contents of phenolic acid in rice leaves were determined using HPLC method to confirm the results of cluster analysis. The results showed that allelopathic rice PI312777 and Taichung Native1, regardless of six allelopathic indices measured, were significantly higher than that of non- allelopathic rice Lemont, but the variation trend of the other 11 rice cultivars was not consistent. Two principal components obtained by principal component analysis reflected 86.55% of the original allelopathic indices. According to the principal component scores of the 14 rice cultivars, three rice cultivars (187, 287, 371) can be classified into allelopathic rice class by cluster analysis. There was no significant difference on the total phenolic acid content in the leaves of rice cultivar 371 compared with strong allelopathic rice PI312777, and no significant difference in the leaves of other two rice cultivars 187 and 287 compared with allelopathic rice Taichung Native1, which implied high levels of phenolic acid in the leaves of three screened rice as potential allelopathic rice cultivar. The study suggested that the allelopathic rice could be accurately screened by using inhibitory-circle method combined with principal component analysis and cluster analysis, and three rice cultivars 371, 187 and 287 could be used as potential allelopathic rice for subsequent research.

备注/Memo

备注/Memo:
收稿日期 Received: 2020-07-29 接受日期 Accepted: 2020-09-22
国家自然科学基金项目(31701802,31070447)和福建农林大学科技创新专项(KFA18043A)资助
**通讯作者 Corresponding author (E-mail: lijiayubnu@126.com)
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更新日期/Last Update: 2020-10-05