基于近红外光谱反射技术的砀山酥梨花粉活力快速检测

doi:10.6048/j.issn.1001-4330.2022.03.011

新疆农业科学 ›› 2022, Vol. 59 ›› Issue (3): 617-624.DOI: 10.6048/j.issn.1001-4330.2022.03.011

• 园艺特产·农产品加工 • 上一篇下一篇

基于近红外光谱反射技术的砀山酥梨花粉活力快速检测

徐叶挺¹^,²(), 张校立¹, 庄红梅¹, 董文轩²(), 龚鹏¹()

1.新疆农业科学院园艺作物研究所/农业部新疆地区果树科学观测实验站,乌鲁木齐 830091
2.沈阳农业大学园艺学院,沈阳 110866

收稿日期:2021-07-24 出版日期:2022-03-20 发布日期:2022-03-28
通信作者: 龚鹏(1963-),男,新疆喀什人,研究员,研究方向为果树栽培与生理生化,(E-mail) gongpeng0923@163.com;
董文轩(1963-),男,教授,研究方向为园艺植物种质资源评价与利用,(E-mail) wxdong63@126.com
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:
自治区公益性科研院所基本科研业务经费(ky2021132);新疆农业科学院青年科技骨干创新能力培养项目(xjnkq-2020008)

Determination of Dangshan Pear Pollen Vitality Using Near -Infrared Spectroscopy

XU Yeting¹^,²(), ZHANG Xiaoli¹, ZHUANG Hongmei¹, DONG Wenxuan²(), GONG Peng¹()

1. Scientific Observing and Experimental Station of Pomology ( Xinjiang)/ Institute of Horticultural Crops,Xinjiang Academy of Agricultural Sciences,Urumqi 830091,China
2. College of Horticulture, Shenyang Agricultural University, Shenyang 110866, China

Received:2021-07-24 Published:2022-03-20 Online:2022-03-28
Supported by:
Xinjiang Uygur Autonomous Region Public Welfare Industry Special Project(ky2021132);Xinjiang Academy of Agricultural Sciences Youth Science and Technology Backbone Innovation Ability Training Project(xjnkq-2020008)

摘要/Abstract

摘要：

【目的】研究基于近红外光谱反射技术的砀山酥梨花粉活力快速检测。【方法】以砀山酥梨花粉为试材。4℃下贮藏,以0、7、27、43与65 d贮藏后花粉为试材,用离体萌发法测定花粉活力,利用近红外光谱仪扫描花粉采集光谱数据。以修正偏最小二乘法(MPLS)对采集的100个梨花粉近红外反射光谱与花粉活力进行定标模型拟合,判别鉴定砀山酥梨花粉近红外光谱。【结果】砀山酥梨花粉活力分别为70.6%、60.3%、57.1%、53.2%与34.1%,从开始贮藏活力的70.6%下降到34.1%,活力下降了52%,且不同贮藏花粉活力相互差异均显著。利用近红外光谱快速预测砀山酥梨花粉活力,其定标模型相关系数R²为0.985,交互验证相关系数1-VR为0.952 9,其活力测定的交互验证标准差SECV为2.5%。以光谱反射率算术相加后取对数lg(R1540+R1956)为自变量,拟合的ExpAssoc方程R²为0.999 8,花粉活力与其光谱反射率存在函数关系。【结论】利用近红外反射技术快速测定砀山酥梨花粉活力可行。

关键词: 砀山酥梨; 花粉活力; 近红外快速预测; 梨花粉

Abstract:

【Objective】 The purpose of this study is to explore the feasibility of rapid detection of pollen viability of Dangshan pear by near-infrared spectroscopy. Pollens are male reproductive cells of botanical stamen and male gametophyte of higher plant, which not only carry genetic information of species, but also contain essential nutritious substance of breeding new life. When cross breeding is proceeded, artificial supplementary pollination was taken to solve the problems of different fruit species flowering mismatch and the cross difficulty between varieties of different places. 【Methods】 At storage temperature 4℃, Dangshan pear pollen was taken as test material and after 0 days, 7 days, 27 days,43 days and 65 days, pollen vigor was determined by in vitro germination method, and then, the spectral data were collected by scanning pollen with near infrared spectrometer; A modified partial least square method (MPLS) was used to fit the calibration model of the near infrared reflectance spectra and pollen viability of 100 pear pollen collected. At the same time, the pollen of Dangshan pear was identified by near infrared spectrum. 【Results】 The results showed that the pollen vigor of Dangshan pear was 70.6%, 60.3%, 57.1%, 53.2% and 34.1% respectively. From the beginning, the storage vigor droppped from 70.6% to 34.1%, the vigor decreased by 52%, and the pollen vigor varied significantly among them. Moreover, the research also revealed the calibration model between feature information of pollen viability and the near-infrared spectrogram by multiple linear regression. The results showed that the calibration model whose correlation coefficient R ² was 0.985, the cross validation correlation coefficient 1-VR was 0.952,9, the standard cross validation activity by SECV was 2.5%. Taking log lg (R1540R1956) as independent variable after arithmetic addition of spectral reflectance, the fitted ExpAssoc equation was R ² 0.999,8, and the pollen viability had a functional relationship with its spectral reflectance.【Conclusion】 It is feasible to determine the pollen vigor of Dangshan pear by near infrared reflection technique.

Key words: Dang shan pear; pollen vitality; near-infrared prediction; pear pollen

中图分类号:

S661.2

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.

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.

图/表 5

图1 100份梨花粉活力定标集的活力差异注:不同字母表示LSD测验下在P<0.05水平下差异显著

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

图2 花粉活力的近红外反射原始光谱注:SNVD既标准正态变量校正结合去除趋势,图2-a花粉近红外反射原始光谱图;2-b 导数处理1,4,4,1结合SNVD下的光谱图

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

表1 不同光谱预处理下的梨花粉活力定标模型参数

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
成分 Ingredient	去散射 Denoise scattering	光谱导数处理 Spectral derivative processing	SD	SEC	RSQ	SECV	1-VR	RPD_CV
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

图3 不同波长下近红外光谱反射率与花粉活力的相关性

Fig.3 Correlation between near-infrared spectral reflectance and pollen viability at different wavelengths

表2 梨不同花粉活力与光谱变量的函数关系

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)	$y = y 0 + A 1 (1 - e^{- \frac{x}{t 1}}) + A 2 (1 - e^{- \frac{x}{t 2}})$	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
	$y = {[a^{1 - d} - e^{- k (x - x_{c})}]}^{\frac{1}{1 - d}}$	0.992 1	SRichards1
	a:76.329 39, xc:1.059 34, d:-4.574 36, k:19.193 34

表2 梨不同花粉活力与光谱变量的函数关系

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)	$y = y 0 + A 1 (1 - e^{- \frac{x}{t 1}}) + A 2 (1 - e^{- \frac{x}{t 2}})$	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
	$y = {[a^{1 - d} - e^{- k (x - x_{c})}]}^{\frac{1}{1 - d}}$	0.992 1	SRichards1
	a:76.329 39, xc:1.059 34, d:-4.574 36, k:19.193 34

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基于近红外光谱反射技术的砀山酥梨花粉活力快速检测

Determination of Dangshan Pear Pollen Vitality Using Near -Infrared Spectroscopy

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