Bioinspired Optimization of Germination Nutrients Based on Lactuca sativa Seedling Root Traits as Influenced by Seed Stratification, Fortification and Light Spectrums
Ecophysiological stimulators directly affect root morphology, especially in the embryonic stage. To enhance crop germination, an understanding of the root traits under abiotic inducers is needed. In this study, the combined impacts of white and red-blue light spectrums, cold stratification, and seed...
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Faculty of Agriculture University of Brawijaya in collaboration with PERAGI,
2021-01-25.
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LEADER | 03742 am a22003853u 4500 | ||
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001 | 0 nhttps:__agrivita.ub.ac.id_index.php_agrivita_article_downloadSuppFile_2843_2063 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Concepcion II, Ronnie S. |e author |
100 | 1 | 0 | |a Department of Science and Technology |e contributor |
100 | 1 | 0 | |a De La Salle University |e contributor |
700 | 1 | 0 | |a Dadios, Elmer P. |e author |
245 | 0 | 0 | |a Bioinspired Optimization of Germination Nutrients Based on Lactuca sativa Seedling Root Traits as Influenced by Seed Stratification, Fortification and Light Spectrums |
260 | |b Faculty of Agriculture University of Brawijaya in collaboration with PERAGI, |c 2021-01-25. | ||
500 | |a https://agrivita.ub.ac.id/index.php/agrivita/article/view/2843 | ||
520 | |a Ecophysiological stimulators directly affect root morphology, especially in the embryonic stage. To enhance crop germination, an understanding of the root traits under abiotic inducers is needed. In this study, the combined impacts of white and red-blue light spectrums, cold stratification, and seed fortification involving various concentrations of bioactive chemicals namely simple nutrient addition program solution, gibberellic acid, α-naphthaleneacetic acid with thiamine hydrochloride were evaluated on loose-leaf lettuce (Lactuca sativa var. Altima) seedling root architecture. The growth-promoting effects of these nutrients varied the growth rate and morphology of roots which are immediately shown during the radicle development. Integrated computer vision and computational intelligence were employed for phytomorphological signatures extraction of seedlings that were cultivated in a customized modulable spectrum experimental chamber (MSPEC). Root phenotype model was developed using graph-cut segmentation and region properties, and the ideal germination nutrient concentration was optimized using bioinspired models with firefly algorithm optimal result of 204.1 mg/L for nitrate, 238.15 mg/L for phosphate, and 158.08 mg/L for potassium. It was verified that lettuce seedlings can endure highly concentrated nutrients, however, it is more sensitive to phosphate as this macronutrient significantly promotes root growth with the increased whorl number on white light spectrum exposure with cold stratification. | ||
540 | |a Copyright (c) 2021 The Author(s) | ||
540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
546 | |a eng | ||
690 | |a plant science; machine vision; computational intelligence | ||
690 | |a Bioinspired algorithm; Computer vision; Lettuce; Root architecture phenotyping; Seed fortification and stratification | ||
655 | 7 | |a info:eu-repo/semantics/article |2 local | |
655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
655 | 7 | |a Peer-reviewed Article |2 local | |
786 | 0 | |n AGRIVITA, Journal of Agricultural Science; Vol 43, No 1 (2021); 174-189 | |
786 | 0 | |n 2477-8516 | |
786 | 0 | |n 0126-0537 | |
786 | 0 | |n 10.17503/agrivita.v1i1 | |
787 | 0 | |n https://agrivita.ub.ac.id/index.php/agrivita/article/view/2843/1356 | |
787 | 0 | |n https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2843/2061 | |
787 | 0 | |n https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2843/2062 | |
787 | 0 | |n https://agrivita.ub.ac.id/index.php/agrivita/article/downloadSuppFile/2843/2063 | |
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