Author Affiliations
Abstract
1 College of Engineering, China Agricultural University Beijing 100083, P. R. China
2 College of Mechanical and Electrical Engineering Zhongkai University of Agriculture Engineering Guangzhou 510225, P. R. China
3 Crop Genetics and Breeding Research Unit USDA-ARS, 2747 Davis Road, Tifton, GA 31793, USA
4 College of Food Science & Nutritional Engineering China Agricultural University, Beijing 100083, P, R. China
5 Quality & Safety Assessment Research Unit U.S. National Poultry Research Center, USDA-ARS 950 College Station Rd., Athens, GA 30605, USA
6 Quality & Safety Assessment Research Unit USDA-ARS, Athens, GA 30605, USA
7 Institute of Food Science and Technology Jiangsu Academy of Agricultural Sciences Nanjing 210014, P. R. China
8 Multidisciplinary Initiative Center Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049, P. R. China
9 Lingang Experimental Middle School Linyi 276624, P. R. China
The growth characteristics of Aspergillus parasiticus incubated on two culture media were examined using shortwave infrared (SWIR, 1000–2500 nm) hyperspectral imaging (HSI) in this work. HSI images of the A. parasiticus colonies growing on rose bengal medium (RBM) and maize agar medium (MAM) were recorded daily for 6 days. The growth phases of A. parasiticus were indicated through the pixel number and average spectra of colonies. On score plot of the first principal component (PC1 T and PC2, four growth zones with varying mycelium densities were identified. Eight characteristic wavelengths (1095, 1145, 1195, 1279, 1442, 1655, 1834 and 1929 nm) were selected from PC1 loading, average spectra of each colony as well as each growth zone. Furthermore, support vector machine (SVM) classifier based on the eight wavelengths was built, and the classification accuracies for the four zones (from outer to inner zones) on the colonies on RBM were 99.77%, 99.35%, 99.75% and 99.60% and 99.77%, 99.39%, 99.31% and 98.22% for colonies on MAM. In addition, a new score plot of PC2 and PC3 was used to differentiate the colonies incubated on RBM and MAM for 6 days. Then characteristic wavelengths of 1067, 1195, 1279, 1369, 1459, 1694, 1834 and 1929 nm were selected from the loading of PC2 and PC3. Based on them, a new SVM model was developed to differentiate colonies on RBM and MAM with accuracy of 100.00% and 99.99%, respectively. In conclusion, SWIR hyperspectral image is a powerful tool for evaluation of growth characteristics of A. parasiticus incubated in different culture media.
Aspergillus parasiticus growth characteristics characteristic wavelengths shortwave infrared (SWIR) hyperspectral imaging 
Journal of Innovative Optical Health Sciences
2018, 11(5): 1850031
作者单位
摘要
1 湖南农业大学东方科技学院, 湖南 长沙 410128
2 湖南农业大学棉花研究所, 湖南 长沙 410128
3 湖南岳阳君山农科所, 湖南 岳阳 414005
4 湖南益阳大通湖区农技推广中心, 湖南 益阳 413207
为提高棉油两熟作物的产量,实现棉花不同种植方式与密度的合理结合,2013年在湖南省4个试验点研究了密度与种植方式对棉花生育特性及产量构成的影响.结果表明,种植方式和密度对棉花产量的互作效应不显著,各种植方式间以营养钵的产量最高,直播产量最低,但无显著性差异.在同一种植方式中,果枝数、单株成铃数随密度增高而降低,产量随密度的增加而增加.在同一密度下,生育期以直播最短,单株成铃数以营养钵最高、果枝层数以漂浮最多、株高、果枝始节位以直播最高,不同处理对棉花铃重、衣分、衣指、子指影响不显著.直播高密度的产量与营养钵中密度、漂浮高密度产量相当.结果表明,不同种植方式之间产量无显著性差异,直播、营养钵、漂浮三种种植方式均适用于湖南油后棉种植,直播的日产量最高,漂浮日产量最低,适当加大直播种植密度,有利于提高棉花产量,为推广棉花轻简化栽培提供理论依据.
种植密度 种植方式 油后棉 棉花生育特性 产量构成 planting density planting pattern plant cotton after rape harvest cotton growth characteristics the yield components 
激光生物学报
2015, 24(2): 191

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