1
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          ABSTRACT The cultivation and consumption of lentils has been gaining importance in recent years due to the high nutritional value of the grain. Research related to seed technology is therefore important in providing high-quality seeds for the market. The aim o f this study was to adapt the accelerated ageing test and evaluate the potential of FT-NIR spectroscopy for classifying lentil seeds based on physiological potential. Seven batches of lentil seeds were subjected to tests to characterise their physiological potential. The accelerated ageing test included the traditional method (100% RH) with an alternative method using saturated saline solution (76% RH) at 41 °C for 24, 36, 48 and 72 hours. NIR spectra were also obtained, taking 200 spectral readings from each batch that were individually processed for 30 seconds. Following the spectral analysis, the seeds were submitted to tests of germination and accelerated ageing to validate the technique. The PLS-DA technique was employed, using 70% of the data for training and 30% for validation. Different pre-processing methods were used, including the standard normal variate (SNV), multiplicative scatter correction (MSC), and the 1st and 2nd Savitzky-Golay (SG) derivatives. It was concluded that the accelerated ageing test at 41 °C for 48 hours using the traditional method (100% RH) was the most efficient way of evaluating the physiological potential of the lentil seeds. The models derived from the FT-NIR spectral data were 99% accurate in predicting the class of physiological potential of the batches.

          Related collections

          Most cited references43

          • Record: found
          • Abstract: not found
          • Article: not found

          The Measurement of Observer Agreement for Categorical Data

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Speed of Germination—Aid In Selection And Evaluation for Seedling Emergence And Vigor1

                Bookmark

                Author and article information

                Journal
                rca
                Revista Ciência Agronômica
                Rev. Ciênc. Agron.
                Universidade Federal do Ceará (Fortaleza, CE, Brazil )
                0045-6888
                1806-6690
                2025
                : 56
                : e202493547
                Affiliations
                [1] Viçosa Minas Gerais orgnameUniversidade Federal de Viçosa orgdiv1Postgraduate Course in Phytotechnics Brazil marceloliimao@ 123456gmail.com
                [2] Brasília Distrito Federal orgnameEmbrapa Hortaliças Brazil warley.nascimento@ 123456embrapa.br
                Author information
                https://orcid.org/0000-0003-1265-1014
                https://orcid.org/0000-0002-0596-2490
                https://orcid.org/0000-0002-6235-0917
                https://orcid.org/0000-0002-3245-5312
                https://orcid.org/0000-0001-9432-6009
                https://orcid.org/0000-0001-7202-0420
                Article
                S1806-66902025000100634 S1806-6690(25)05600000634
                10.5935/1806-6690.20250034
                a788d1c0-ca9d-4bf8-b5bb-5603eb0e9fa8

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 11 June 2024
                : 08 August 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 44, Pages: 0
                Product

                SciELO Brazil


                Lens culinaris Medik,Physiological quality,FT-NIR,Artificial intelligence,Deterioration

                Comments

                Comment on this article