| 庄红梅,卢春生,龚鹏,谢辉,徐叶挺,樊丁宇,张雯.基于高光谱‘叶尔羌’扁桃氮磷钾含量估测模型研究[J].干旱地区农业研究,2017,35(2):157~165 |
| 基于高光谱‘叶尔羌’扁桃氮磷钾含量估测模型研究 |
| Prediction on nitrogen, phosphorus, potassium contents in almond leaves based on Yarkent Models by hyper spectrum |
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| DOI：10.7606/j.issn.1000-7601.2017.02.25 |
| 中文关键词: ‘叶尔羌’扁桃 叶片 N含量 P含量 K含量 光谱分析 相关分析 回归分析 |
| 英文关键词:Yarkent almond leaf nitrogen content phosphorus content potassium content spectral analysis correlation analysis regression analysis |
| 基金项目:新疆维吾尔自治区科技重大专项(201130102-2)；新疆维吾尔自治区科技计划(201111121)；公益性行业(农业)科研专项(201003043) |
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| 中文摘要: |
| 通过分析果实不同生长发育阶段叶片光谱反射率与氮、磷、钾含量的相关性，探寻叶尔羌扁桃叶片N、P、K含量估算的光谱模型，旨在为莎车‘叶尔羌’扁桃简便快捷的非破坏性营养诊断提供高效、适时的方法。基于‘3414’肥料效应实验，利用Unispec-SC光谱仪测定‘叶尔羌’扁桃在不同N、P、K施肥水平下果实关键发育期的叶片光谱反射率，实验室测定叶片N、P、K含量，采用相关分析与回归分析方法进行统计分析。结果表明，‘叶尔羌’扁桃果实坐果期、膨大期、硬核期、成熟期叶片光谱反射率或其衍生变量与氮、磷、钾含量存在一定的关系，以相关性最强的两个反射率之和为自变量，N、P、K含量为因变量，拟合的Cubics Ration、二次曲线方程R2值较高。最终确定‘叶尔羌’扁桃坐果期叶片氮营养诊断最佳模型为：Y=-2051.4471-7099.5965X-6048.4479X2，其中X为lgR823+lgR880，果实膨大期的最佳模型为：Y=(21.8812+39.8456X+24.3772X2+5.1255X3)/(0.005188X3)，其中X为lgR382+lgR383；坐果期的P营养诊断最佳模型为Y=(-0.000003+0.000803X-0.070160X2+2.8169X3)/(0.407026X3)，X为lg(R789+R790)；坐果期的K营养诊断最佳模型为Y=（-7.7960+22.5853X-21.8023X2+7.0133X3）/0.000032X3，其中X为R830+R850，Y均为估测值含量。由此得出，可根据果实不同生长发育阶段叶片N、P、K素光谱敏感波段、光谱反射率或其衍生变量通过一定的函数关系能够建立N、P、K含量监测模型。 |
| 英文摘要: |
| To establish a model to estimate foliar nitrogen, phosphorus and potassium contents in leaves, analysis in correlation between foliar nitrogen (N), phosphorus (P), and potassium (K) contents, providing effective, timely and nondestructive nutrition diagnosis for Yarkent almond. Based on effect by the experiment of using 3414 fertilizer, Unispec-SC spectrometer was employed to determine leaf spectral reflectance of Yarkent almond under different N, P and K fertilizer levels at fruiting, swelling, hardcoring and maturing stages in Shache. In addition, correlation analysis and regression analysis methods were carried out for statistical analysis. The results showed that the spectral sensitive bands of foliar N, P and K elements are different at fruiting, swelling, hardcoring and maturing stages. There is a certain relationship between leaf N, P and K contents and the spectral reflectance or its derivative variables. The R2 value of the fitting Cubics Ration and quadratic curve equation was high when the two spectral reflectances were used as independent variables, and the N, P, and K contents as the dependent variables. The best model for Yarkent almond leaf nitrogen nutrition diagnosis at the fruiting stage is Y=-2051.4471-7099.5965X-6048.4479X2, X=lgR823+lgR880; The best model for Yarkent almond leaf nitrogen nutrition diagnosis at the swelling stage is Y=(21.8812+39.8456X+24.3772X2+5.1255X3)/(0.005188X3), X=lgR382+lgR383；The best model for Yarkent almond leaf phosphorus nutrition diagnosis at the fruiting stage is Y=(-0.000003+0.000803X-0.070160X2+2.8169X3)/(0.407026X3), X=lg(R789+R790)；The best model for Yarkent almond leaf potassium nutrition diagnosis at the fruiting stage is Y=（-7.7960+22.5853X-21.8023X2+7.0133X3/0.000032X3, X=R830+R850. In conclusion, the spectral sensitive bands of N, P and K elements are different at these four phenological stages for Yarkent almond fruit development. The models for estimating foliar N, K and P content of Yarkent almond can be established according to the spectral sensitivity, spectral reflectance or its derivative variables. |
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