Role of Near - Infrared Spectroscopy in Seed Quality Evaluation: A Review

Abstract

The use of high-quality seeds is one of the most important elements for increasing agricultural production in any farming system. This element has become more crucial than ever for providing enough food security for the rising population, which is expected to exceed nine billion by year 2050. Selecting high yielding varieties of disease, insect, lodging and shattering resistance, along with other desirable characteristics are the basic keys for satisfactory crop performance and yield. The production of high-quality seed is the cornerstone of any successful agriculture program. It is also a good marketing tool for increasing the potential sale of crops, especially in today’s competitive market. Therefore, adopting an efficient method to evaluate the seed quality non-destructively is the need of hour. One such technique or method is the use of NIR which helps to assess seed quality non-destructively and sort out seeds based on seed health, seed deterioration, viability, vigour including protein, starch and fatty acid composition as well as abiotic and biotic seed damage. It is a non-destructive analytical technique requires little sample preparation time and high-throughput, which makes it as a seed analysis tool.

Near infrared spectroscopy for the classification of vigor level of soybean seed

“…However, the radiation of the near infrared electromagnetic region can be absorbed by several other compounds contained in the seeds, such as carbohydrates (GUO et al, 2011), soluble sugars (GUO et al, 2011, cellulose, hemicellulose, lignin (HUANG; YU, 2019), among others, in addition to oil and protein (AGELET;HURBURGH, 2014;GUO et al, 2011). Thus, the NIR spectra might contain valuable qualitative and quantitative information about organic compounds of seeds and allows greater sensitivity for the detection of differences among samples, if compared to other traditional methodologies of quantification of isolated compounds (VENKATESAN et al, 2020).…”

“…It has been often used in the classification of data of high dimensionality and with highly correlated variables, such as the spectra data obtained from NIR (BRERETON; LLOYD, 2014). For the prediction of seed quality, it is described as the most efficient method (VENKATESAN et al, 2020).…”

Non-Destructive Measurement of Quality Parameters of Apple Fruit by Using Visible/Near-Infrared Spectroscopy and Multivariate Regression Analysis

“…The use of visible-near infrared (Vis-NIR) spectroscopy (Vis-NIRS) to analyze fresh produce in postharvest applications is a relatively mature topic [8]. NIR can assess several constituents at the same time; therefore, it is also efficient for mass screening [9]. This method has advantages such as its high speed and less time-consuming nature [10,11].…”

The VIS-Spectrometric Data of Scots Pine Individual Seed Reveal Forecasting Potential for Container-Grown Germination and Seedling’s Dickson Quality Index

“…Esteve Agelet et al (2014) conclude from a systematic search of 168 references for the identification of a single seed that "although no measurement mode (reflectance, transmittance) have lead to the best re-ported calibrations, when dealing with heterogenic seeds reflectance is the best working mode [123]". Most studies of the forest single seed [14][15][16]20,21,24,[26][27][28][29][30][31][32]99,123,136]. Expensive devices are used to create and detect electromagnetic radiation with long exposure.…”