Assessment of Seed Morphometric Variability in Six Bamboo Species Using Digital Image Analysis
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Authors
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Manish Kumar Vijay
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Deependra Malviya
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Shweta Tiwari
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Lata Kahar
Keywords:
Bamboo, Digital image analysis, Germplasm conservation, Seed characterization, Seed morphometryAbstract
Bamboo seed availability is often constrained by irregular flowering and sporadic seed production, making characterization of
available seed material important for germplasm conservation and propagation. The present study assessed seed morphometric
variability in six bamboo species, Bambusa bambos, B. polymorpha, B. tulda, Dendrocalamus latiflorus, D. longispathus and D. strictus,
using digital image analysis. Seed area, length, width, aspect ratio, diameter, perimeter and roundness were measured using the
Biovis Seed Image Analyzer. Considerable interspecific variation was observed in all measured parameters. B. tulda exhibited the
largest seed area, length and aspect ratio, whereas D. longispathus showed the smallest seed dimensions. Digital image analysis
provided rapid and non-destructive quantitative characterization of bamboo seeds. The generated morphometric profiles may
support seed identification, germplasm characterization and conservation.
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References
1. Alencar NE, AR Figueira, HO Santos and PSG Duarte (2016) Image analysis and physiological quality assessment of seeds produced in pumpkin plants infected with the squash mosaic virus (SqMV). Res. J. Seed Sci.9(1): 14-21.
2. Banik RL (2016) Silviculture and Uses of Bamboos. Springer, Singapore. https://doi.org/10.1007/978-981-10-0569-5
3. Bianco ML, O Grillo, PE Garcia, F Mascia, G Venora and G Bacchetta (2016) Morpho-colorimetric characterization of Malva alliance taxa by seed image analysis. Plant Biol. 19(1): 1-9. https://doi.org/10.1111/plb.12481
4. Canavan S, DM Richardson, V Visser, JJ Roux, MS Vorontsova and JR Wilson (2016) The global distribution of bamboos; Assessing correlates of introduction and invasion. AoB Plants9: 78.
5. Chiquito AA, FG Gomes-Junior and J Marcos-Filho (2012) Assessment of physiological potential of cucumber seeds using the software Seedling Vigour Imaging System® (SVIS®). Rev. Bras. Sementes 34(2): 255-63. https://doi.org/ 10.1590/S0101-31222012000200010
6. Correia LAS, FC Felix, FDS Araujo, CDS Ferrari and MV Pacheco (2019) Morphometric descriptors and physiological seed quality for selecting Aspidosperma pyrifolium Mart. matrix trees. Rev. Caatinga 32(3): 751-9. https://doi.org/ 10.1590/1983-21252019v32n319rc
7. Costa MF, ACA Lopes, RLF Gomes, ASF Araújo, MI Zucchi, JB Pinheiro and SES Valente (2016) Characterization and genetic divergence of Casearia grandiflora populations in the Cerrado of Piaui State, Brazil. Floresta Ambient. 23(3): 387-96. https://doi.org/10.1590/2179-8087.007115
8. Dell'Aquila A (2004) Application of a computer-aided image analysis system to evaluate seed germination under different environmental conditions. Ital. J. Agron.8: 51-62.
9. Dell'Aquila A (2006) Computerised seed imaging; a new tool to evaluate germination quality. Commun. Biom. Crop Sci. 1(1): 20-31.
10. Desai S and AP Rao (2017) Seed quality analysis using image processing and ANN. Int. J. Trend Sci. Res. Dev. 1(4): 698-9. Available from: https://www.ijtsrd.com
11. Felix FC, JAD Medeiros, CS Ferrari, FA Vieira and MV Pacheco (2020) Biometry of Pityrocarpa moniliformis seeds using digital imaging; implications for studies of genetic divergence. Rev. Bras. Ciênc. Agrár. 15(1): 1-8. https://doi.org/10.5039/agraria.v15i1a6128
12. Felix FC, D Kratz, R Ribeiro and AC Nogueira (2023) Characterization and differentiation of forest species by seed image analysis; a new methodological approach. Ciênc. Florest. 33: e73427. https://doi.org/10.5902/ 1980509873427
13. Flora of China Editorial Committee (2006) Poaceae (Bambusoideae). In: ZY Wu, PH Raven and DY Hong (eds) Flora of China, Vol. 22. Science Press, Beijing and Missouri Botanical Garden Press, St. Louis.
14. Furbank RT and M Tester (2011) Phenomics–technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 16(12): 635-44. https://doi.org/10.1016/j.tplants.2011.09.005
15. ISFR (2021) India State of Forest Report 2021. Forest Survey of India, Ministry of Environment, Forest and Climate Change, Kaulagarh Road, P.O. IPE, Dehradun, Uttarakhand, India. J
16. annah RM, S Ratnawati, WB Suwarno and SW Ardie (2024) Digital phenotyping for robust seeds variability assessment in Setaria italica (L.) P. Beauv. J. Seed Sci. 46: e281586. https://doi.org/10.1590/2317-1545v46281586
17. Kapadia VN, N Sasidharan and P Kalyanrao (2017) Seed image analysis and its application in seed science research. Int. J. Pure Appl. Biosci. 5(2): 486-96. https://doi.org/ 10.18782/2320-7051.2721 Mehra SP and LK Mehra (2007) Bamboo cultivation–potential and prospec ts. Tech. Dig. 10. Available from: https://www.nabard.org/pdf/BAMBOO.pdf [Accessed 17 December 2013].
18. Pontes MS, CV Montefusco-Pereira, BB Misra, HL Ribeiro-Junior, DE Graciano, JS Santos and EF Santiago (2018) Highthroughput phenot yping by applying digital morphometrics and fluorescence induction curves in seeds to identifying variations; a case study of Annona (Annonaceae) species. Inf. Process. Agric. 5(4): 443-55. https://doi.org/10.1016/j.inpa.2018.07.001
19. Roy SS, MN Ali, S Gantait, S Chakraborty and M Banerjee (2014) Tissue culture and biochemical characterization of important bamboos. Res. J. Agric. Sci.5(2): 135-46.
20. Saatkamp A, A Cochrane, L Commander, LK Guja, B JimenezAlfaro and J Larson (2019) A research agenda for seed-trait functional ecology. New Phytol. 221: 1764-75. https://doi.org/10.1111/nph.15502
21. Santana SH, SB Torres and CP Benedito (2013) Biometrics of fruits and seeds and germination of balsam pear. Rev. Bras. Plant Med. 15(2): 169-75. https://doi.org/10.1590/S1516- 05722013000200001
22. Seethalakshmi KK and MSM Kumar (1998) Bamboos of India; a Compendium. Kerala Forest Research Institute (KFRI) and International Network for Bamboo and Rattan (INBAR), Peechi, India.
23. Tanabata T, T Shibaya, K Hori, K Ebana and M Yano (2012) SmartGrain; high-throughput phenotyping software for measuring seed shape through image analysis. Plant Physiol. 160(4): 1871-80. https://doi.org/10.1104/pp.112.205120
24. Tewari DN (1992) A Monograph on Bamboo. International Book Distributors, Dehradun, India.
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