Analysis of the Relationship Between Hyperspectral Reflectance and Yield of Rape Under Different Micro Fertilizer Conditions

Tao CHANG; Xin XIE; Mei GUAN; Qiu-ping ZHANG; Zhen-qian ZHANG; Chun-yun GUAN

doi:10.3964/j.issn.1000-0593(2021)02-0552-06

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 2 >Page 552 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 2, 552 (2021)

Analysis of the Relationship Between Hyperspectral Reflectance and Yield of Rape Under Different Micro Fertilizer Conditions

Tao CHANG, Xin XIE, Mei GUAN, Qiu-ping ZHANG, Zhen-qian ZHANG, and Chun-yun GUAN

Author Affiliations

College of Agriculture, Hunan Agricultural University/Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Changsha 410128, China

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DOI: 10.3964/j.issn.1000-0593(2021)02-0552-06 Cite this Article

Tao CHANG, Xin XIE, Mei GUAN, Qiu-ping ZHANG, Zhen-qian ZHANG, Chun-yun GUAN. Analysis of the Relationship Between Hyperspectral Reflectance and Yield of Rape Under Different Micro Fertilizer Conditions[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 552 Copy Citation Text

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Fig. 1. The hyperspectral reflectance curve of magnesium fertilizer at bolting stage

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Fig. 2. The hyperspectral reflectance curve of molybdenum fertilizer at bolting stage

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Fig. 3. The hyperspectral reflectance curve of zinc fertilizer at bolting stage

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Fig. 4. The hyperspectral reflectance curve of manganese fertilizer at bolting stage

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Fig. 5. The hyperspectral reflectance curve of calcium fertilizer at bolting stage

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肥料种类	含油量/%	千粒重/g	单株产量/kg	单株产油量/kg
CK	47.2±2.36ab	3.3±0.16a	26.2±1.17a	9.5±0.47h
A1	38.3±1.91g	3.6±0.18a	25.9±1.09a	10.6±0.53f
A2	45.1±2.25ab	3.8±0.19a	26.3±1.14a	12.1±0.61d
A3	40.9±2.04defg	4.3±0.21a	26.8±1.19a	12.7±0.63c
B1	47.1±2.35ab	3.5±0.17a	18.8±0.94cd	8.9±0.44i
B2	43.7±2.18abcd	4.2±0.21a	26.1±1.31a	12.7±0.63c
B3	44.2±2.21abc	4.5±0.22a	26.7±1.46a	16.0±0.79a
C1	47.4±2.37a	3.8±0.19a	17.1±0.85d	8.1±0.41j
C2	40.3±2.01efg	4.4±0.22a	25.6±1.28b	10.3±0.51g
C3	41.4±2.07cdrf	4.8±0.24a	26.5±1.31a	10.8±0.54f
D1	47.0±2.35ab	3.8±0.19a	26.3±1.36a	13.8±0.69b
D2	39.3±1.96fg	3.4±0.17a	15.7±0.78d	6.1±0.31k
D3	42.8±2.14bcdef	3.9±0.19a	18.7±0.93cd	8.1±0.40j
E1	44.9±2.24ab	3.7±0.18a	26.4±1.31a	11.7±0.58e
E2	39.9±1.99fg	3.5±0.17a	15.8±0.79d	6.3±0.31k
E3	43.2±2.16abcde	4.1±0.18a	20.4±1.02c	8.8±0.44i

Table 1. Effect of micro fertilizer treatment on Yield and yield components

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肥料种类		幼苗期	5~6叶期	蕾薹期	花期(叶片)
对照		0.342	0.187	0.668^*	0.307
	A1	0.505	0.616^*	0.462	0.251
镁	A2	0.278	0.468	0.625^*	0.485
	A3	0.462	0.408	0.824^*	0.661^*
	B1	0.569	0.474	0.409	0.053
锰	B2	0.048	0.472	0.424	0.418
	B3	0.385	0.111	0.845^*	0.373
	C1	0.607^*	0.416	0.902^**	0.597
锌	C2	0.716^*	0.559	0.474	0.377
	C3	0.425	0.659^*	0.739^*	0.638^*
	D1	0.356	0.553	0.786^*	0.694^*
钼	D2	0.335	0.279	0.622^*	0.343
	D3	0.419	0.435	0.496	0.511
	E1	0.186	0.352	0.704^*	0.194
钙	E2	0.029	0.243	0.586	0.145
	E3	0.069	0.321	0.733^*	0.206

Table 2. Correlation test results of yield and chlorophyll in different growth periods

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肥料种类	红边	绿峰
A3	-0.892^*	-0.854^*
B3	-0.872^*	-0.843^*
C3	-0.852^*	-0.894^*
D1	-0.935^**	-0.846^*
E1	-0.913^**	-0.823^*

Table 3. Correlation analysis of chlorophyll content and spectral parameters in bolting stage

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肥料种类	红边	绿峰
A3	-0.626^*	-0.649^*
B3	-0.725^*	-0.643^*
C3	-0.621^*	-0.714^*
D1	-0.651^*	-0.846^*
E1	-0.637^*	-0.623^*

Table 4. Correlation analysis of time spectrum parameters and yield in bolting stage

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肥料种类	线性函数	指数函数	对数函数	幂函数
A3	y=-16.328x+33.216, R²=0.650	y=33.246e^-0.516^x, R²=0.534	y=-1.65ln(x)+27.654, R²=0.352	y=27.889x^-0^.⁰⁵², R²=0.695
B3	y=1.820 3x+35.388, R²=0.715	y=35.388e^{0.051 1}^x, R²=0.154	y=0.180 8ln(x)+36.012, R²=0.211	y=36.014x^0.0051, R²=0.621
C3	y=12.801x+23.316, R²=0.824	y=23.433e^{0.494 3}^x, R²=0.267	y=2.193 4ln(x)+29.472, R²=0.537	y=29.726x⁰^.^{084 8}, R²=0.757
D1	y=-8.480 1x+31.142, R²=0.690	y=31.188e^-0.29^x, R²=0.557	y=-2.161ln(x)+25.888, R²=0.584	y=26.068x^-0.074, R²=0.782
E1	y=3.666 6x+24.885, R²=0.616	y=24.918e^{0.139 6}^x, R²=0.512	y=1.226 6ln(x)+27.499, R²=0.181	y=27.527x^{0.046 8}, R²=0.624 5

Table 5. “Red edge” and yield correlation fitting model

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肥料种类	线性函数	指数函数	对数函数	幂函数
A3	y=-32.362x+33.097, R²=0.666	y=33.121e^-1.023^x, R²=0.503	y=-1.656ln(x)+26.366, R²=0.482	y=26.775x^-0.052, R²=0.751
B3	y=4.069 5x+35.386, R²=0.601	y=35.387e^{0.114 3}^x, R²=0.419	y=0.192 7ln(x)+36.191, R²=0.173	y=36.195x^{0.005 4}, R²=0.178
C3	y=28.849x+23.735, R²=0.613	y=23.826e^{1.107 9}^x, R²=0.483	y=1.823 1ln(x)+30.672, R²=0.096	y=31.096x⁰^.⁰⁷, R²=0.048
D1	y=-19.023x+31.005, R²=0.644	y=31.047e^-0.651^x, R²=0.516	y=-2.094ln(x)+24.147, R²=0.268	y=24.557x^-0.072, R²=0.331
E1	y=12.447x+24.586, R²=0.663	y=24.639e^{0.472 6}^x, R²=0.678	y=1.552ln(x)+29.412, R²=0.498	y=29.598x^0.059, R²=0.557

Table 6. “Green peak” and yield correlation fitting model

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