基于近红外光谱的大豆茎秆化学组分含量检测模型构建与应用
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李佳佳,洪慧龙,万明月,储丽,赵敬会,汪明华,徐志鹏,张阴,黄志平,张文明,王晓波,邱丽娟
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Construction and Application of Detection Model for the Chemical Composition Content of Soybean Stem Based on Near Infrared Spectroscopy
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JiaJia LI,HuiLong HONG,MingYue WAN,Li CHU,JingHui ZHAO,MingHua WANG,ZhiPeng XU,Yin ZHANG,ZhiPing HUANG,WenMing ZHANG,XiaoBo WANG,LiJuan QIU
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表5 大豆茎秆粗纤维含量与生长习性分相关性析
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Table 5 Correlation analysis of crude fiber content and growth habit of soybean stem
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年份Year | 类型 Types | 数量 Number | CF含量均值±标准差 Crude fiber contents Mean±Sd (%) | 95%置信区间 95% Confidence interval | 极小值 Min | 极大值 Max | F值 F value | P值 P value | 2017 | 直立型 Erect type | 335 (85.24%) | 47.96±3.35A | 47.60 | 48.32 | 37.66 | 57.39 | 25.77 | 0.000 | 蔓生型 Sprawl type | 58 (14.76%) | 45.49±3.85B | 44.48 | 46.50 | 27.64 | 53.02 | 总数Total | 393 | 47.60±3.53 | 47.25 | 47.95 | 27.64 | 57.39 | 2018 | 直立型 Erect type | 312 (79.39%) | 50.65±3.56A | 50.25 | 51.05 | 37.39 | 58.63 | 14.64 | 0.000 | 蔓生型 Sprawl type | 81 (20.61%) | 48.96±3.45B | 48.20 | 49.72 | 39.96 | 58.35 | 总数Total | 393 | 50.30±3.60 | 49.94 | 50.66 | 37.39 | 58.63 |
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