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LAI-2200植物冠层分析仪是一种能直接、无损测量植物叶面积指数的商业仪器。本研究于2014年在河北省河间市对3个密度棉田LAI-2200测定的叶面积指数(LAI)与实际LAI进行了对比。结果表明,LAI-2200测定的低(6.5万株/hm2)、中(10.5万株/hm2)、高(15.0万株/hm2)3个密度棉田LAI的均方根误差(RMSE)分别为0.86、0.62和0.66,提示增加密度有利于提高LAI-2200测定结果的准确性。此外,3个密度棉田蕾期~盛铃期(出苗后47~102d)LAI-2200测定值与实际叶面积指数线性回归的决定系数(R2)分别为0.91、0.86和0.82,纳什效率系数(EF)分别为0.90、0.80和0.84,提示不同密度的模拟质量都比较高,以低密度的模拟质量最佳。盛铃期(出苗后106d)棉株发生倒伏后人工扶起,棉田的自然冠层结构遭到破坏,中高密度棉田LAI-2200测定值有小于实际LAI的现象,提示倒伏棉田不宜应用LAI-2200进行冠层分析。
LAI-2200 plant canopy analyzer is a direct, non-destructive measurement of plant leaf area index of commercial equipment. In this study, leaf area index (LAI) of LAI-2200 in three density cotton fields was compared with actual LAI in Hejian, Hebei Province in 2014. The results showed that the root mean square error (RMSE) of LAI of LAI-2200 with low (65000 plants / hm2), medium (105000 plants / hm2) and high (1500000 plants / hm2) , 0.62 and 0.66, respectively, suggesting that increasing the density will improve the accuracy of the LAI-2200 assay results. In addition, the determination coefficients (R2) of linear regression of LAI-2200 and actual leaf area index (LAI-2200) were 0.91, 0.86 and 0.82 in the three stages of boll stage- ) Were 0.90, 0.80 and 0.84, respectively, suggesting that the simulations at different densities are of higher quality and the best simulations at low densities. During the boll stage (post-emergence 106d), the cotton plants lifted and lifted, the natural canopy structure of the cotton fields was destroyed. The measured value of LAI-2200 in medium and high density cotton fields was less than the actual LAI, suggesting that LAI-2200 Canopy analysis.