Xinjiang Agricultural Sciences ›› 2022, Vol. 59 ›› Issue (3): 617-624.DOI: 10.6048/j.issn.1001-4330.2022.03.011
• Horticultural Special Local Products·Agricultural Product Processing • Previous Articles Next Articles
XU Yeting1,2(), ZHANG Xiaoli1, ZHUANG Hongmei1, DONG Wenxuan2(), GONG Peng1()
Received:
2021-07-24
Online:
2022-03-20
Published:
2022-03-28
Correspondence author:
DONG Wenxuan, GONG Peng
Supported by:
徐叶挺1,2(), 张校立1, 庄红梅1, 董文轩2(), 龚鹏1()
通讯作者:
董文轩,龚鹏
作者简介:
徐叶挺(1981-),男,新疆伊犁人,副研究员,研究方向为果树栽培与生理,(E-mail) cherishhave@qq.com
基金资助:
CLC Number:
XU Yeting, ZHANG Xiaoli, ZHUANG Hongmei, DONG Wenxuan, GONG Peng. Determination of Dangshan Pear Pollen Vitality Using Near -Infrared Spectroscopy[J]. Xinjiang Agricultural Sciences, 2022, 59(3): 617-624.
徐叶挺, 张校立, 庄红梅, 董文轩, 龚鹏. 基于近红外光谱反射技术的砀山酥梨花粉活力快速检测[J]. 新疆农业科学, 2022, 59(3): 617-624.
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URL: http://www.xjnykx.com/EN/10.6048/j.issn.1001-4330.2022.03.011
Fig.1 Pollen viability significant differencesunder different storage periods Note: Different lettersindicate that the values are significantly different at the 0.05 level with by LSD test
Fig.2 Original spectra of pollen near infrared reflectance Note: SNVD (Standard normal variate plus detrend correction),Fig.2-a Original spectrum of near-infrared reflection of Dangshan pear pollen; fig.2-b After derivative of 1, 4, 4, 1 combined SNVD processing of spectra of 100 Dangshan pear pollen
成分 Ingredient | 去散射 Denoise scattering | 光谱导数处理 Spectral derivative processing | 定标模型参数 Scales model parameters | |||||
---|---|---|---|---|---|---|---|---|
SD | SEC | RSQ | SECV | 1-VR | RPDCV | |||
花粉活力 Pollen vitality | SNVD | 1,4,4,1 | 12.182 | 1.491 | 0.985 | 2.630 | 0.953 | 4.632 |
SNVD | 1,6,6,1 | 12.161 | 1.763 | 0.933 | 2.823 | 0.936 | 4.308 | |
Detrend | 2,8,8,1 | 12.183 | 1.538 | 0.977 | 2.717 | 0.947 | 4.484 | |
WMSC | 2,8,8,1 | 12.211 | 1.897 | 0.957 | 2.875 | 0.923 | 4.247 |
Table 1 The parameters of calibration model of pear pollen viability under different spectral pretreatment
成分 Ingredient | 去散射 Denoise scattering | 光谱导数处理 Spectral derivative processing | 定标模型参数 Scales model parameters | |||||
---|---|---|---|---|---|---|---|---|
SD | SEC | RSQ | SECV | 1-VR | RPDCV | |||
花粉活力 Pollen vitality | SNVD | 1,4,4,1 | 12.182 | 1.491 | 0.985 | 2.630 | 0.953 | 4.632 |
SNVD | 1,6,6,1 | 12.161 | 1.763 | 0.933 | 2.823 | 0.936 | 4.308 | |
Detrend | 2,8,8,1 | 12.183 | 1.538 | 0.977 | 2.717 | 0.947 | 4.484 | |
WMSC | 2,8,8,1 | 12.211 | 1.897 | 0.957 | 2.875 | 0.923 | 4.247 |
光谱变量(X) Spectra variable | 方程 Equation | R2 | Model |
---|---|---|---|
lg(R1540+R1956) | | 0.999 8 | ExpAssoc |
y0: 113.377 4, A1:81.786 67, t1:0.360 86, A2:1.55×10-29, t2: 0.002 87 | |||
| 0.992 1 | SRichards1 | |
a:76.329 39, xc:1.059 34, d:-4.574 36, k:19.193 34 |
Table 2 Functional relationships between different pollen viability and spectral variables in pear
光谱变量(X) Spectra variable | 方程 Equation | R2 | Model |
---|---|---|---|
lg(R1540+R1956) | | 0.999 8 | ExpAssoc |
y0: 113.377 4, A1:81.786 67, t1:0.360 86, A2:1.55×10-29, t2: 0.002 87 | |||
| 0.992 1 | SRichards1 | |
a:76.329 39, xc:1.059 34, d:-4.574 36, k:19.193 34 |
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