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Record W4410279050 · doi:10.5539/jas.v17n6p1

Grafting Susceptible Watermelon on Wild Watermelon Root Stocks Improves Response to Moisture Stress and Improves Growth and Yield

2025· article· en· W4410279050 on OpenAlexvenueno aff
Metseyabeng Nametso Sehularo, Ponalo Kgwaakgwaa, Kelebogile Madumane, Lesego T. Sewelo, Utlwang Batlang, Rosemary Kobue-Lekalake, Goitseone Malambane

Bibliographic record

VenueJournal of Agricultural Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
FundersSouthern African Science Service Centre for Climate Change and Adaptive Land ManagementBundesministerium für Bildung und Forschung
KeywordsMoisture stressYield (engineering)GraftingMoistureHorticultureAgronomyBiologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

The rising temperatures and reduced rainfall because of climate change have contributed to severe droughts which subsequently affect crop production leading to global food insecurity. One crop particularly vulnerable to these changes is watermelon, a nutritious fruit rich in vitamins and antioxidants, but highly sensitive to water scarcity. Insufficient moisture during the crop establishment period results in a less vigorous plant leading to reduced yield thus it is crucial to develop strategies that can reduce the effects of drought stress. Grafting is one strategy used and has proven to be incredibly powerful in protecting against both biotic and abiotic stresses. Thus, the current study focuses on morphological and physiological responses of grafted watermelons subjected to drought stress. The results show that grafted watermelons reported a more noticeable decline in stomatal conductance compared to cultivated watermelons, indicating that they possess increased drought tolerance as they responded quickly closing their leaf stomata displaying a drought avoidance mechanism. Chlorophyll fluorescence results reported that grafted watermelons had the highest (Fv/Fm, Phi2 and phiNPQ) compared to cultivated watermelon indicating they maintained PSII efficiency better and possessed physiological traits that contributed to drought tolerance. Morphological results showed that wild watermelons flowered and matured earlier than all cultivars indicating it possesses a drought escape mechanism that can be harnessed and incorporated into grafting for breeding for drought resistance. In terms of yield related parameters grafted watermelons produced more fruits with higher weight than cultivated watermelon, indicating increased rooting capacity, making them more vigorous and efficient in absorbing water and nutrients, resulting in larger fruit sizes and better overall yields. Most importantly, grafting did not affect the quality of watermelon solutes. This research offers valuable understanding of how wild watermelon can be used as an ideal rootstock in grafting its susceptible relatives to mitigate drought stress and increase yield of watermelons.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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