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1.深圳波顿香料有限公司,深圳 518051
2.深圳烟草工业有限责任公司,深圳 518109
3.华南农业大学烟草研究室,广州 510642
Received:06 January 2024,
Published:15 January 2025
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余志虹,徐潇,邹勇,等.成熟期烤烟钾积累量时空分布特征及光谱估算模型[J].华中农业大学学报,2025,44(1):113‐119.
YU Zhihong,XU Xiao,ZOU Yong,et al.Spatial-temporal distribution and spectral estimation model of accumulation of potassium at mature stage of flue-cured tobacco[J].Journal of Huazhong Agricultural University,2025,44(01):113-119.
余志虹,徐潇,邹勇,等.成熟期烤烟钾积累量时空分布特征及光谱估算模型[J].华中农业大学学报,2025,44(1):113‐119. DOI: 10.13300/j.cnki.hnlkxb.2025.01.012.
YU Zhihong,XU Xiao,ZOU Yong,et al.Spatial-temporal distribution and spectral estimation model of accumulation of potassium at mature stage of flue-cured tobacco[J].Journal of Huazhong Agricultural University,2025,44(01):113-119. DOI: 10.13300/j.cnki.hnlkxb.2025.01.012.
为实时无损监测大田烤烟钾素积累状况,以烤烟品种K326为试验材料,研究不同施氮量条件下成熟期烤烟叶层间钾积累量变化规律及其与冠层光谱参数间的相关关系。结果显示:烟株上层钾积累量除少数波段与光谱反射率相关外,大部分波段两者不相关,中下层钾积累量与可见光波段光谱反射率呈显著负相关,与近红外波段呈显著正相关。适用于不同叶层钾积累量估算的最优光谱参数并非完全一致,其中上层、中层、上中层钾积累量估算的最优光谱参数为比值植被指数RVI(810,680),而下层、中下层、上中下层植株钾积累量则与红边振幅(
D
λRed
)相关性最高。建立的烤烟中层、下层、上中层、中下层、植株叶钾积累量的估算模型分别为:
y
=-0.002
x
2
+0.159
x
-0.6531(
R
2
=0.903
**
)、
y
=8.8736
x
2
-4.1032
x
+0.5164(
R
2
=0.618
**
)、
y
=0.0856
x
1.29
(
R
2
=0.744
**
)、
y
=6.6558
x
2
+0.5056
x
-0.3657(
R
2
=0.821
**
)、
y
=0.2803
x
0.5774
(
R
2
=0.938
**
),经检验模型稳定性较好。研究表明,利用光谱参数构建的估算模型可实现烤烟植株及中下层叶钾积累量的有效反演。
The flue-cured tobacco variety K326 was used to study the changes in the accumulation of potassium in interlayer of leaves at the mature stage of tobacco under different application dosage of nitrogen and its correlation with parameters of canopy spectrum to real-time and nondestructively monitor the accumulation of potassium in flue-cured tobacco in field. The results showed that the accumulation
of potassium in the upper layer of tobacco plants was not correlated with spectral reflectance in most bands except for a few bands. The accumulation of potassium in the middle and lower layers of tobacco plants was significantly negatively correlated with the spectral reflectance in the visible light band, and significantly positively correlated with the near-infrared band. The optimal spectral parameters for estimating the accumulation of potassium in different layers of leaf were not completely consistent. The optimal spectral parameter for estimating the accumulation of potassium in the upper, middle, and upper middle layers of tobacco plants was the ratio vegetation index RVI(810,680), while the accumulation of potassium in the lower, middle lower, and upper middle lower layers of tobacco plants was most correlated with the red edge amplitude (
D
λRed
). The established model for estimating the accumulation of potassium in the middle, lower, upper, middle, and lower layers of tobacco leaves was
y
=-0.002
x
2
+0.159
x
-0.6531 with
R
2
of 0.903
**
,
y
=8.8736
x
2
-4.1032
x
+0.5164 with
R
2
of 0.618
**
,
y
=0.0856
x
1.29
with
R
2
of 0.744
**
,
y
=6.6558
x
2
+0.5056
x
-0.3657 with
R
2
of 0.821
**
,
y
=0.2803
x
0.5774
with
R
2
of 0.938
**
, and the model was tested to be stable. It is indicated that the established model for estimating the accumulation of potassium with parameters of spectrum can effectively invert the accumulation of potassium in the middle and lower layers and the whole plant of flue-cured tobacco.
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