摘要
【目的】创建并验证棉花株式图信息数字化和获取株式图时空分布特征的新方法。【方法】利用标准化的数字存储株式图信息,通过Visual Basic编程自动读取Excel数据表并自动统计计算株式图信息指标,最后分别输出Excel和图形化的统计结果。将数据结果导入Surfer软件,绘制棉花各生殖器官性状概率分布图。并运用该方法处理10个品种(系)株式图信息。【结果】实现了株式图信息的自动化处理,快速形成了各品种蕾期现蕾概率、花铃期生殖器官发生概率与脱落概率、吐絮期成铃概率的空间分布。这些时空分布图准确、清晰、直观地描述了棉花株式图信息及其分布特点。而且根据数字化的株式图信息统计结果可生成各果枝不同果节上的概率变动趋势,为深度挖掘株式图信息提供参考。【结论】该方法可快速绘制棉花每个果枝各果节生殖器官发生概率的时空分布图。
[Objective]To develop a method for digitization of cotton plant mapping information,to obtain spatiotemporal distribution characteristics,and to validate the method.[Method]First,the information for cotton plant mapping was stored in Excel in the standardized prescriptive digital form.Second,Visual Basic was used to import the standardized digital data and calculate the probability of each reproductive organ at different fruiting positions of every fruit branch.Simultaneously,statistical results were exported in Excel and graph formats.Finally,Surfer software was used to draw the probability distribution map for cotton reproductive organs.To validate the method it was used to analyze plant mapping information of 10 cultivars(strains).[Results]Automatic processing of plant mapping information was realized.We rapidly mapped the spatial distribution of the squares probability for all cultivars at the squaring stage,the reproductive organs occurrence and shedding probability at the mid-flowering and boll setting stage and boll probability at the boll-opening stage.The spatiotemporal distributions accurately,clearly,and intuitively described the distribution characteristics of squares,flowers,and bolls at different growth stages,respectively.Furthermore,on the basis of statistical analysis of the digitized plant mapping information,variation in probability of boll development at different fruiting positions of each fruit branch was observed.[Conclusion]The method is suitable to map rapidly the spatiotemporal distribution of the reproductive organs indifferent fruiting positions of a cotton plant.
作者
雷亚平
韩迎春
王国平
冯璐
杨北方
范正义
支晓宇
王占彪
熊世武
魏晓文
李亚兵
Lei Yaping;Han Yingchun;Wang Guoping;Feng Lu;Yang Beifang;Fan Zhengyi;Zhi Xiaoyu;Wang Zhanbiao;Xiong Shiwu;Wei Xiaowen;Li Yabing(Institute of Cotton Research,Chinese Academy of Agricultural Sciences,State Key Laboratory of Cotton Biology,Anyang,Henan 455000,China)
出处
《棉花学报》
CSCD
北大核心
2018年第1期92-101,共10页
Cotton Science
基金
国家自然科学基金(31601264)
关键词
棉花
株式图
数字化
成铃概率
脱落概率
cotton
plant mapping
digitization
boll probability
shedding probability