2019
DOI: 10.5958/0975-928x.2019.00149.2
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An image analyser: A rapid and non-destructive method for characterization and diversity assessment of sorghum landraces

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Cited by 2 publications
(4 citation statements)
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“…2 ), GMU-7107(29.14mm 2 ) and NARI-6 (32.63mm 2 ) were observed to have positively significant seed area, indicating that selection within these genotypes could be fruitful. Similar results were recorded in sorghum landraces (Kavipriya et al, 2019), barnyard millet (Venkatesan and Sujatha, 2018) and sesame (Vasanthan et al, 2019) by using Grain Scanner.…”
Section: (Iii)image Acquisition and Measurementssupporting
confidence: 83%
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“…2 ), GMU-7107(29.14mm 2 ) and NARI-6 (32.63mm 2 ) were observed to have positively significant seed area, indicating that selection within these genotypes could be fruitful. Similar results were recorded in sorghum landraces (Kavipriya et al, 2019), barnyard millet (Venkatesan and Sujatha, 2018) and sesame (Vasanthan et al, 2019) by using Grain Scanner.…”
Section: (Iii)image Acquisition and Measurementssupporting
confidence: 83%
“…The seeds are classified as bold, medium and small based on the area and perimeter and hence CO -1 was classified as a large seed genotype and GMU https://doi.org/10.37992/2022.1304.159 1920 was small seeded among the observed genotypes. The same results were observed in sorghum landraces (Kavipriya et al, 2019 andChinnasamy et al, 2021), barnyard millet (Venkatesan and Sujatha, 2018) and sesame (Vasanthan et al, 2019) by using Grain Scanner.…”
Section: Highsupporting
confidence: 78%
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