摘要
从谷子穗粒重与谷穗高维形态关系的角度,分析谷子穗长、穗粗、穗侧面积、穗体积与谷子穗粒重的关系。利用图像处理技术采集9个谷子品种的果穗几何特征,分析穗粒重对谷穗几何特征的回归,并分别与穗长、穗粗、穗侧面积、穗体积组合建立直线回归方程。4种几何特征与穗粒重的回归方程的决定系数分别为：穗长在0.0786∽0.7842之间,穗粗在0.2686∽0.7894之间,穗侧面积在0.5705∽0.9176之间,穗体积在0.5527∽0.9057之间。穗侧面积和穗体积是反映谷穗形态的两个重要性状,能够高精度预测穗粒重。
The relationships between millet grain weight and high -dimensional forms, including the length, diameter, side area and volume of spikes, were examined. The spike geometric features of 9 millet va- rieties were collected using image processing technology, and the spike grain weight regressed respectively to the 4 spike geometric features to establish their linear equations. The determination coefficients of 4 linear e- quations were 0. 0786- 0. 7842 for the spike length, 0. 2686 - 0. 7894 for the spike diameter, 0. 5705- 0.9176 for the spike side area, 0. 5527 -0. 9057 for the spike volume respectively. The side area and volume of spikes were 2 important traits of millet, and could be used to accurately predict the spike grain weight of millet.
出处
《山东农业科学》
2015年第6期12-14,38,共4页
Shandong Agricultural Sciences
基金
现代农业产业技术体系建设专项(CARS-07-12.5-A11)
山东省旱地作物水分高效利用创新团队项目(20121025)
关键词
谷穗
图像处理
穗粒重估算
穗体积
穗面积
Millet spike
Image processing
Spike grain weight estimation
Spike volume
Spike area
