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Physiological Responses of Soybean Plant (DPX) to Pretreatment and Foliar Application of Seaweed Extract (Ascophyllum nodosum) and Seed Primary Quality

2022· article· en· W4226110967 on OpenAlexaboutno aff
Safiye Arab, M Baradaran Firoozabadi, Ahmad Gholami, Mohammad Heidari

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Growth and Agriculture Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsAscophyllumBrown seaweedAlgaeBotanyBiology

Abstract

fetched live from OpenAlex

IntroductionChanges that occur during aging affect seed quality. Vigor is the first component of seed quality that decreases with aging seed, and followed by a decrease in germination capacity, seedling growth and establishment. The seeds of soybeans are classified in the orthodox seeds. These seeds contain high amount of lipid and protein. Seed viability can only be maintained until few months of storage under normal conditions. One of the important steps in soybean seed industry is maintaining seed quality during storage condition for the planting during next growth season or sales. Lack of a proper storage condition would affect the biochemical and physiological nature of soybean seeds and intensify their aging. Changes that occur during deterioration condition affect seed quality. Through the process of deterioration, seed vigor is the first traits of the seed quality that decreases, followed by a decrease in germination capacity, seedling growth and establishment. Wide range of deteriorative conditions (especially moisture content and temperature) may affect seed quality during storage which may lead to seed aging. Hence, to stimulate germination and increase the establishment of seedlings from ageing seeds, treatment can be done using different materials such as brown seaweed extract. To continue the experiment, normal seeds and aged seeds were sown in June 2018 and 2019 at a depth of 2 cm. Each plot consisted of 4 lines 6 m long with a distance of 50 cm between the lines and 10 cm width on the lines.Materials and MethodsA factorial experiment was performed based on a randomized complete block design with three replications at the research field of Shahroud University of Technology. In this study two sets of seeds including control seeds (un-aged) and aged seed were used and brown seaweed A. nodosum (0.3%) was applied for control, seed pretreatment, foliar spray and seed pretreatment+foliar spray. The brown seaweed extract was "Acadian™ Seaweed Powder" (produced in Canada) containing brown seaweed extract (Ascophyllum nodosum), and all the reagent and chemicals for experiments were purchased from Merck (Germany). Soybean seed Var. DPX. was collected from the Mazandaran agricultural research center. The water content of seeds was 12%. The seeds were those that harvested in the same year and kept in a controlled storage room at the temperature between 14 to 17 °C and relative humidity of 30 to 40% at the Agricultural Research and Training Center and Natural Resources of Mazandaran Province. For surface sterilization, soybean seeds were disinfected with 1% sodium hypochlorite for 60 seconds and then washed with distilled water. To prepare aged seeds in the laboratory, the seeds were incubated at 41°C and 95% relative humidity for 72 hours according to the method described previously. For each treatment, 100 g of the soybean seeds were soaked in 20 ml seaweed extract (0.3%) under ventilation condition for 6 hours, following by drying the seeds in the shade.Results and DiscussionIn this study, the results showed that the seed aging reduced the mean daily seedling field emergence, content of soluble sugar, leaf area index, stomatal conductance, oil yield and seed yield and also, increased the electrical conductivity and free amino acids content in the field condition. Whereas, the seed pretreatment with the seaweed extract in normal and aging conditions increased mean daily seedling field emergence 15.31% and 55.03% respectively. The values of leaf area index, stomatal conductance, oil yield and seed yield were increased with application of both pretreatment and foliar spray of seaweed extract, 34.51%, 23.72%, 91.68% and 87.85% respectively. Seed pre-treatment and foliar spraying with Ascophyllum nodosum brown seaweed extract at a concentration of 0.3% improved the deteriorated effects and significantly increased seed yield.ConclusionThis study concludes that the seaweed extract is effective to minimize negative effects of aging on seeds performance and has a great positive effect on the physiological and agronomic traits of soybean plant. Among the four methods used in this study, the seeds pretreatment+foliar spray was more effective.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.184
GPT teacher head0.472
Teacher spread0.288 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2022
Admission routes1
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