A near-infrared reflectance spectroscopy–based nondestructive technique for the detection of seed-borne fungi in choy sum (Brassica chinensis var. Parchinensis)

Authors

  • Bijuan Chen Guangdong Hongke Agricultural Machinery R&D Co., Ltd. Guangzhou, 510630, China.
  • Guilian Li Guangdong Hongke Agricultural Machinery R&D Co., Ltd. Guangzhou, 510630, China.
  • Zheng Xiong Shenzhen Institute of Modern Agricultural Equipment, Shenzhen, 518000, China.
  • Yihao Xiong Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
  • Can Xu Guangdong Hongke Agricultural Machinery R&D Co., Ltd. Guangzhou, 510630, China.
  • Binghong Xiong

DOI:

https://doi.org/10.3329/bjb.v52i20.68285

Keywords:

Seed-borne fungi, Choy sum seeds, Spectral identification, Breeding industrialization, Germplasm supervision

Abstract

In the present study seed-born fungi in choy sum (Brassica Chinensis Var. Parchinensis) was detected through a near-infrared reflectance spectroscopy–based nondestructive technique. Four common species of seed-borne fungi namely, Penicillium decumbens, Penicillium namyslowskii, Lichtheimia corymbifera, and Aspergillus niger were found to grow in choy sum in southern China. A novel finding was that P. decumbens had the greatest inhibition of the germination of Choy sum seeds, resulting in a non-germination rate exceeding 62.8%. The existing standardized seed sterilization treatment failed to completely kill P. decumbens, so a way to nondestructively identify and filter out P. decumbens–infected seeds wereevolved is urgently needed. Near-infrared reflectance spectroscopy–based partial least squares–discriminant analysis (PLS-DA) model achieved a discrimination accuracy of 95% in on-line nondestructive detection of P. decumbens–infected choy sum seeds. By detailing the design and application of an innovative product, this study lays a foundation for the development of intelligent equipment, and it provides a decision-making basis for seed breeding industrialization and germplasm supervision.

Bangladesh J. Bot. 52(2): 689-694, 2023 (June) Special

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Published

2023-08-31

How to Cite

Chen, B. ., Li, G. ., Xiong, Z. ., Xiong, Y. ., Xu, C. . ., & Xiong, B. . (2023). A near-infrared reflectance spectroscopy–based nondestructive technique for the detection of seed-borne fungi in choy sum (Brassica chinensis var. Parchinensis). Bangladesh Journal of Botany, 52(20), 689–694. https://doi.org/10.3329/bjb.v52i20.68285

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Section

Short Communications