Physical and physiological quality of Jatropha curcas L. seeds at different maturity stages using image analysis
Abstract
Aim of study: To assess the potential of automated X-ray image analysis to evaluate the physical characteristics of Jatropha curcas seeds, and to relate the parameters obtained with the physiological quality of the seeds harvested at different maturity stages.
Area of study: Experimental area of Agronomy Department, Federal University of Viçosa (UFV), Brazil.
Material and methods: The fruits were harvested from 20 plants, based on the external skin color (green, yellow, brownish-yellow and brown). The study was performed by automated and visual analysis of radiographic images of the seeds, in which measurements of tissue integrity, density and seed filling were performed. Seed dry matter, germination and seedling growth were also analysed.
Main results: Variables obtained through automated analysis of radiographic images correlated significantly with all physiological variables (r > 0.9), as well as visual image evaluations (r > 0.75). The seeds extracted from green fruits presented lower tissue integrity and lower physiological quality. Radiographic analysis was efficient for monitoring J. curcas seed quality at different maturity stages. Morpho-anatomical parameters obtained from X-ray analysis were highly correlated with seed physiological attributes.
Research highlights: It is important to develop and improve methodologies based on lower-cost techniques, such as X-ray analysis. In this context, we verified that X-ray images can be used for monitoring J. curcas seed filling and maturation. Radiographic images of seeds can be analyzed automatically with ImageJ software. Internal morphology and physical characteristics of seeds have relationship with their physiological quality.
Downloads
References
Antony E, Sridhar K, Kumar V, 2017. Effect of chemical sprays and management practices on Brachiaria ruziziensis seed production. F Crop Res 211: 19-26. https://doi.org/10.1016/j.fcr.2017.06.009
Arkhipov MV, Priyatkin NS, Gusakova LP, Potrakhov NN, Gryaznov AY, Bessonov VB, Obodovskii AV, Staroverov NE, 2019. X-ray computer methods for studying the structural integrity of seeds and their importance in modern seed science. Tech Physics 64: 582-592. https://doi.org/10.1134/S1063784219040030
Bewley JD, Nonogaki H, 2017. Seed maturation and germination. Ref Mod Life Sci 2017: 1-9. https://doi.org/10.1016/B978-0-12-809633-8.05092-5
Borges SRS, Silva PP, Araújo FS, Souza FF, Nascimento WM, 2019. Tomato seed image analysis during the maturation. J Seed Sci 41: 22-31. https://doi.org/10.1590/2317-1545v41n1191888
Brunes AP, Araújo AS, Dias LW, Villela FA, Aumonde TZ. 2016. Seedling length in wheat determined by image processing using mathematical tools. Rev Ciênc Agron 47: 374-379. https://doi.org/10.5935/1806-6690.20160044
Castan DOC, Gomes-Junior FG, Marcos-Filho J, 2018. Vigor-S, a new system for evaluating the physiological potential of maize seeds. Sci Agric 75: 167-172. https://doi.org/10.1590/1678-992x-2016-0401
Devic M, Roscoe T, 2016. Seed maturation: Simplification of control networks in plants. Plant Sci 252: 335-346. https://doi.org/10.1016/j.plantsci.2016.08.012
El-Mesery HS, Mao H, Abomohra AEF, 2019. Applications of non-destructive technologies for agricultural and food products quality inspection. Sensors 19: 846. https://doi.org/10.3390/s19040846
Gomes-Junior FG, Cicero SM, Vaz CMP, Lasso PRO, 2019. X-ray microtomography in comparison to radiographic analysis of mechanically damaged maize seeds and its effect on seed germination. Acta Scient Agron 41: e42608. https://doi.org/10.4025/actasciagron.v41i1.42608
Haq A, Siddiqi M, Batool SZ, Islam A, Khan A, Khan D, Khan S, Khan H, Shah AA, Hasan F et al., 2019. Comprehensive investigation on the synergistic antibacterial activities of Jatropha curcas pressed cake and seed oil in combination with antibiotics. AMB Expr 9: 67. https://doi.org/10.1186/s13568-019-0793-6
Hu P, Wu L, Hollister EB, Wang AS, Somenahally AC, Hons FM, Gentry TJ, 2019. Fungal community structural and microbial functional pattern changes after soil amendments by oilseed meals of Jatropha curcas and Camelina sativa: A microcosm study. Front Microbiol 10: 537. https://doi.org/10.3389/fmicb.2019.00537
Jeromini TS, Martins CC, Pereira FECB, Gomes-Junior FG, 2019. The use of X-ray to evaluate Brachiaria brizantha seeds quality during seed processing. Rev Ciênc Agron 50: 439-446. https://doi.org/10.5935/1806-6690.20190052
Kamel DA, Farag HA, Amin NK, Zatout AA, Ali RM. 2018. Smart utilization of jatropha (Jatropha curcas Linnaeus) seeds for biodiesel production: Optimization and mechanism. Ind Crops Prod 111: 407-413. https://doi.org/10.1016/j.indcrop.2017.10.029
Kaushik N, 2003. Effect of capsule maturity on germination and seedling vigour in Jatropha curcas. Seed Sci Technol 31: 449-454. https://doi.org/10.15258/sst.2003.31.2.21
Kobori NN, Cicero SM, Medina PF, 2012. Teste de raios X na avaliação da qualidade de sementes de mamona. J Seed Sci 34: 125-133. https://doi.org/10.1590/S0101-31222012000100016
Leão-Araújo ÉF, Gomes-Junior FG, da Silva AR, Peixoto N, Souza ERB, 2019. Evaluation of the desiccation of campomanesia adamantium seed using radiographic analysis and the relation with physiological potential. Agron J 111: 592-600. https://doi.org/10.2134/agronj2018.05.0302
Leprince O, Pellizzaro A, Berriri S, Buitink J, 2016. Late seed maturation: drying without dying. J Exp Bot 68: 827-841. https://doi.org/10.1093/jxb/erw363
Maguire JD, 1962. Speed of germination-Aid in selection and evaluation for seedling emergence and vigor. Crop Sci 2: 176-177. https://doi.org/10.2135/cropsci1962.0011183X000200020033x
Mazumdar P, Singh P, Babu S, Siva R, Harikrishna JÁ, 2018. An update on biological advancement of Jatropha curcas L.: New insight and challenges. Renew Sustain Energy Rev 91: 903-917. https://doi.org/10.1016/j.rser.2018.04.082
Medeiros AD, de Araújo JO, Zavala-León MJ, Silva LJ, Dias DCFS, 2018. Parameters based on x-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds. Ciênc Agrotec 42: 643-652. https://doi.org/10.1590/1413-70542018426023318
Medeiros AD, Zavala-León MJ, Silva LJ, Oliveira MAS, Dias DCFS, 2020a. Relationship between internal morphology and physiological quality of pepper seeds during fruit maturation and storage. Agron J 112: 25-35. https://doi.org/10.1002/agj2.20071
Medeiros AD, Pinheiro DT, Xavier WA, Silva LJ, Dias DCFS, 2020b. Quality classification of Jatropha curcas seeds using radiographic images and machine learning. Ind Crop Prod 146: 112162. https://doi.org/10.1016/j.indcrop.2020.112162
Medeiros AD, Silva LJ, Pereira MD, Oliveira, MAS, Dias, DCFS, 2020c. High-throughput phenotyping of brachiaria grass seeds using free access tool for analyzing X-ray images. An Acad Bras Ciênc 92 (Suppl.1): e20190209. https://doi.org/10.1590/0001-3765202020190209
Melchinger AE, Munder S, Mauch FJ, Mirdita V, Böhm J, Mueller J, 2017. High-throughput platform for automated sorting and selection of single seeds based on time-domain nuclear magnetic resonance (TD-NMR) measurement of oil content. Bio Eng 164: 213-220. https://doi.org/10.1016/j.biosystemseng.2017.10.011
Mhamdi A, Van Breusegem F, 2018. Reactive oxygen species in plant development. Development 145: dev164376. https://doi.org/10.1242/dev.164376
Montes JM, Melchinger AE, 2016. Domestication and breeding of Jatropha curcas L. Trends Plant Sci 21: 1045-1057. https://doi.org/10.1016/j.tplants.2016.08.008
Nielsen MS, Damkjær KB, Feidenhans'l R. 2017. Quantitative in-situ monitoring of germinating barley seeds using X-ray dark-field radiography. J Food Eng 198: 98-104. https://doi.org/10.1016/j.jfoodeng.2016.11.011
Oliveira GL, Dias DCFS, Hilst PC, Silva LJ, Dias LAS, 2014. Standard germination test in physic nut (Jatropha curcas L.) seeds. J Seed Sci 36: 336-343. https://doi.org/10.1590/2317-1545v36n31015
Pinto TLF, Marcos-Filho J, Forti VA, Carvalho C, Gomes-Junior FG, 2009. Avaliação da viabilidade de sementes de pinhão manso pelos testes de tetrazólio e de raios X. Rev Bras Sementes 31: 195-201. https://doi.org/10.1590/S0101-31222009000200023
Rahman A, Cho BK, 2016. Assessment of seed quality using non-destructive measurement techniques: A review. Seed Sci Res 26: 285-305. https://doi.org/10.1017/S0960258516000234
Rao NK, Dulloo ME, Engels JM, 2017. A review of factors that influence the production of quality seed for long-term conservation in genebanks. Genet Resour Crop Evol 64: 1061-1074. https://doi.org/10.1007/s10722-016-0425-9
R Core Team, 2018. R Development Core Team. R A Lang. Environ Stat Comput 55: 275-286. http://www.R-project.org
Sako Y, McDonald MB, Fujimura K, Evans AF, Bennett MA, 2001. A system for automated seed vigour assessment. Seed Sci Technol 29: 625-636.
Sendin K, Manley M, Williams PJ, 2018. Classification of white maize defects with multispectral imaging. Food Chem 243: 311-318. https://doi.org/10.1016/j.foodchem.2017.09.133
Silva LJ, Dias DCFS, Milagres CC, Dias LAS, 2012. Relationship between fruit maturation stage and physiological quality of physic nut (Jatropha curcas L.) seeds. Ciênc Agrotec 36: 39-44. https://doi.org/10.1590/S1413-70542012000100005
Silva LJ, Dias DCFS, Oliveira GL, Silva-Júnior RA, 2017. The effect of fruit maturity on the physiological quality and conservation of Jatropha curcas seeds. Rev Ciênc Agron 48: 487-495. https://doi.org/10.5935/1806-6690.20170057
Silva LJ, Dias DCFS, Sekita MC, Finger FL, 2018. Lipid peroxidation and antioxidant enzymes of Jatropha curcas L. seeds stored at different maturity stages. Acta Sci Agron 40: 34978. https://doi.org/10.4025/actasciagron.v40i1.34978
Silva LJ, Medeiros AD, Oliveira MAS, 2019. SeedCalc, a new automated R software tool for germination and seedling length data processing. J Seed Sci 41: 250-257. https://doi.org/10.1590/2317-1545v42n2217267
Xia Y, Xu Y, Li J, Zhang C, Fan S, 2019. Recent advances in emerging techniques for non-destructive detection of seed viability: A review. Artif Int Agr 1: 35-47. https://doi.org/10.1016/j.aiia.2019.05.001
© CSIC. Manuscripts published in both the printed and online versions of this Journal are the property of Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a “Creative Commons Attribution 4.0 International” (CC BY 4.0) License. You may read here the basic information and the legal text of the license. The indication of the CC BY 4.0 License must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the published by the Editor, is not allowed.
