Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)

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buir.contributor.authorAli, Seyid Amjad
buir.contributor.orcidAli, Seyid Amjad|0000-0001-9250-9020
dc.citation.epage304en_US
dc.citation.issueNumber2
dc.citation.spage289
dc.citation.volumeNumber29
dc.contributor.authorAasim, M.
dc.contributor.authorAkin, F.
dc.contributor.authorAli, Seyid Amjad
dc.contributor.authorTaskin, M.B.
dc.contributor.authorColak, M.S.
dc.date.accessioned2024-03-06T13:40:25Z
dc.date.available2024-03-06T13:40:25Z
dc.date.issued2023-01-30
dc.departmentComputer Technology and Information Systems
dc.description.abstractSalt stress is one of the most critical abiotic stresses having significant contribution in global agriculture production. Chickpea is sensitive to salt stress at various growth stages and a better knowledge of salt tolerance in chickpea would enable breeding of salt tolerant varieties. During present investigation, in vitro screening of desi chickpea by continuous exposure of seeds to NaCl-containing medium was performed. NaCl was applied in the MS medium at the rate of 6.25, 12.50, 25, 50, 75, 100, and 125 mM. Different germination indices and growth indices of roots and shoots were recorded. Mean germination (%) of roots and shoots ranged from 52.08 to 100%, and 41.67–100%, respectively. The mean germination time (MGT) of roots and shoots ranged from 2.40 to 4.78 d and 3.23–7.05 d. The coefficient of variation of the germination time (CVt) was recorded as 20.91–53.43% for roots, and 14.53–44.17% for shoots. The mean germination rate (MR) of roots was better than shoots. The uncertainty (U) values were tabulated as 0.43–1.59 (roots) and 0.92–2.33 (shoots). The synchronization index (Z) reflected the negative impact of elevated salinity levels on both root and shoot emergence. Application of NaCl exerted a negative impact on all growth indices compared to control and decreased gradually with elevated NaCl concentration. Results on salt tolerance index (STI) also revealed the reduced STI with elevated NaCl concentration and STI of roots was less than shoot. Elemental analysis revealed more Na and Cl accumulation with respective elevated NaCl concentrations. The In vitro growth parameters and STI values validated and predicted by multilayer perceptron (MLP) model revealed the relatively high R2 values of all growth indices and STI. Findings of this study will be helpful to broaden the understanding about the salinity tolerance level of desi chickpea seeds under in vitro conditions using various germination indices and seedling growth indices.
dc.embargo.release2024-01-30
dc.identifier.doi10.1007/s12298-023-01282-z
dc.identifier.eissn0974-0430
dc.identifier.issn0971-5894
dc.identifier.urihttps://hdl.handle.net/11693/114365
dc.language.isoen
dc.publisherSpringer (India) Private Ltd.
dc.relation.isversionofhttps://dx.doi.org/10.1007/s12298-023-01282-z
dc.source.titlePhysiology and Molecular Biology of Plants
dc.subjectArtifcial neural network
dc.subjectChickpea
dc.subjectMathematical expressions
dc.subjectNaCl stress
dc.subjectSalt tolerance
dc.titleArtificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)
dc.typeArticle

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