Rapid Analysis of Main Quality Parameters in Forage Soybean by Near-Infrared Spectroscopy

Yan JIANG; He MENG; Yi-rong ZHAO; Xian-xu WANG; Sui WANG; En-yu XUE; Shao-dong WANG

doi:10.3964/j.issn.1000-0593(2022)03-0919-05

Spectroscopy and Spectral Analysis, Volume. 42, Issue 3, 919(2022)

Rapid Analysis of Main Quality Parameters in Forage Soybean by Near-Infrared Spectroscopy

Yan JIANG1,1; 2;... He MENG1,1;, Yi-rong ZHAO1,1;, Xian-xu WANG1,1;, Sui WANG1,1;, En-yu XUE3,3; and Shao-dong WANG1,1; *; |Show fewer author(s)

Author Affiliations

¹1. Northeast Agricultural University/National Soybean Engineering Technology Research Center, Harbin 150030, China

³3. Heilongjiang Rural Industry Development Center, Harbin 150036, China

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Figures & Tables(5)

Fig. 1. Original spectral curve

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Fig. 2. PLS model of forage soybean quality by NW^1st+DE-trending+SNV treatments

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Fig. 3. The full spectrum curve after NW^1st+DE-trending+SNV treatments

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Table 1. Content statistics of main forage quality indexes in samples (%)
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Table 1. Content statistics of main forage quality indexes in samples (%)
指标最大值最小值平均值标准差
CP 22.79 11.21 16.21 2.04
NDF 63.48 41.02 51.25 5.02
ADF 42.51 25.00 33.88 4.51

Table 2. Model results of main quality indexes of whole plants of forage soybean with different pretreatments

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Table 2. Model results of main quality indexes of whole plants of forage soybean with different pretreatments

预处理	CP				NDF				RMSEC
预处理	RMSEC	$R_{C}^{2}$	RMSEP	$R_{P}^{2}$	RMSEC	$R_{C}^{2}$	RMSEP	$R_{P}^{2}$	RMSEC	$R_{C}^{2}$	RMSEP	$R_{P}^{2}$
NW^1st	0.67	0.93	0.73	0.92	1.97	0.87	2.13	0.85	1.23	0.93	1.34	0.92
NW^1st+DE	0.54	0.96	0.61	0.95	1.72	0.90	1.89	0.87	1.20	0.93	1.30	0.92
NW^1st+DE+SNV	0.49	0.96	0.55	0.95	1.74	0.90	1.87	0.89	1.10	0.94	1.20	0.93
NW^2nd+DE+SNV	0.49	0.96	0.56	0.96	1.71	0.91	1.94	0.88	1.23	0.93	1.32	0.92

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Yan JIANG, He MENG, Yi-rong ZHAO, Xian-xu WANG, Sui WANG, En-yu XUE, Shao-dong WANG. Rapid Analysis of Main Quality Parameters in Forage Soybean by Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 919

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