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Record W2301117166 · doi:10.5376/mpb.2016.07.0001

Mutagenic Effects of Ultraviolet Radiation on Growth and Agronomic Characters in Maize Cultivars

2016· article· en· W2301117166 on OpenAlexvenueno aff
O. B. Bello

Bibliographic record

VenueMolecular Plant Breeding · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Genetic and Mutation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyCultivarAgronomyUltraviolet radiationBiotechnology

Abstract

fetched live from OpenAlex

Ultraviolet light has strong genotoxic effect to induce mutations for developing high genetic variability in yields, early maturity and other characters in crops. The study investigated the mutagenic effects of ultraviolet (UV) radiation on growth, yield, agronomic and mutation tolerance of six maize cultivars. Maize seeds were exposed to UV radiation, and planted in 7 kg soils in the polythene bags, while unexposed served as control. The effect of UV radiation on the first order interaction between weeks after planting (WAP) and treatments was only significant (p<0.05) on plant height. The interaction between treatments and cultivars also produced significant effect on all growth characters except leaf width. There was reduction in growth characters at 8 and 10 WAP for number of leaves, and at 10 WAP for plant height, leaf length and leaf width. All the growth and agronomic characters at 100 minutes of UV radiation were significantly higher (p<0.05) than other exposure periods. The exposure period of stover weight at 100 minutes were significantly higher (p<0.05) than other periods, while grain weight and total number of grains at 20 minutes exposure significantly higher, but not different from control. The height of ART/OB/98/SW1 was significantly higher than other cultivars. ART/OB/98/SW6, 10–1–Y and ART/OB/98/SW1 were the most tolerant cultivars to the mutagenic effect of the UV radiation. OBA 98 had the most significant genotypic effect for yield characters, while the genotypic influence on plant stand, plant aspect, mutation tolerance and plant harvest was highly significant. The grain weight per stand for OBA 98 and ART/OB/98/SW1 were significantly (p<0.05) higher than other cultivars, while the total number of grains for ART/0B/98/SW1 and ART/OB/98/SW6 were significantly higher and different from other cultivars. ART/OB/98/SW6 had the least values of days to plant emergence, mutation tolerance and other agronomic characters compared to other cultivars. The plant height was positive and strongly correlated (p<0.01) with leaf length, leaf width and number of leaves with r = 0.95, 0.96, 0.89 respectively. Only the periods of exposure of the UV radiation was positive and strongly correlated with leaf width (r = 0.79). The association between the stover weight and periods of exposure was positive and insignificant, while the correlation between total numbers of grains and grain weight per stand was positive and strong (r = 0.99). Therefore, quality protein maize cultivars should be improved by introgression of favourable genes of drought tolerance, grain yield and related characters through induced mutation of UV radiation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.178
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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