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Record W4319980484 · doi:10.31548/dopovidi2022.06.003

THE INFLUENCE OF DIFFERENT ROOTSTOCK HYBRIDS ON FRUIT QUALITY OF THE DIPLOID WATERMELON HYBRID YUKON F1 AND THE TRIPLOID WATERMELON HYBRID KIDMAN F1 IN THE CONDITIONS OF THE LEFT BANK FOREST STEPPE OF UKRAINE

2022· article· en· W4319980484 on OpenAlexaboutno aff
A. Galaguria

Bibliographic record

VenueNaukovì dopovìdì Nacìonalʹnogo unìversitetu bìoresursiv ì prirodokoristuvannâ Ukraïni · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsRootstockBottle gourdBiologyHybridHorticultureSugarAgronomyBotanyFood science

Abstract

fetched live from OpenAlex

Study of the influence of various commercial rootstocks on the quality of diploid and triploid watermelon fruits in the conditions of the Left Bank Forest Steppe of Ukraine. Methods. Laboratory, mathematical and statistical - statistical processing of the results of the experiment. The results. Based on the results of the research conducted in 2019-2021, we see that grafting on bottle gourd rootstocks of the hybrid Pelops F1 and the interspecific hybrid Cobalt F1 is used as an effective option for combating diseases, increasing yield, and resistance to abiotic factors in the production of watermelons; however, this process may affect fruit quality parameters. The aim of this study was to determine the effect of different rootstocks on vitamin C content, total soluble solids, total sugar and nitrate content in Kidman F1 and Yukon F1 watermelon hybrids at harvest. The study determined the influence of two rootstocks on some qualitative characteristics of watermelon fruits. The results showed that the quality parameters of the samples varied depending on the combination of the watermelon hybrid and the rootstock hybrid. Inoculation did not significantly affect vitamin C content and was lower than that of control plants in both diploid and triploid watermelons. The highest content of vitamin C was in Yukon F1 watermelon (in control) - 8.72 mg/100 g, and the combination of Yukon F1 with Cobalt F1 8.65 mg/100 g and Yukon F1 with Pelops F1 8.37 mg/100 g, respectively. Grafted watermelon plants on Cobalt F1 rootstock had the highest total soluble solids content in the test, which was -10.88% on Kidman F1, which was 1.5% more than the control, and 10.21% on Yukon F1, which was 1.06% more than the control, respectively. The highest content of total sugar was observed in the combination of Yukon F1 and Cobalt F1 8.84%, which is 1.71% more than the control, and the combination of Kidman F1 and Pelops F1 8.69%, which is 0.79% more than the control plants respectively. The content of nitrates was below the MPC (60 mg/kg) and ranged from 21.4 to 27.7 mg/kg. The lowest nitrate content was observed on the combination of Cobalt F1 rootstock and Kidman F1 watermelon 21.4 mg/kg, and on Yukon F1 watermelon 23.9 mg/kg, respectively, which is not significantly different from the control plants. Conclusions. The conducted studies indicate the expediency of using different rootstocks for diploid and triploid watermelons to improve fruit quality in the conditions of the Left Bank Forest Steppe of Ukraine. Inoculation provides a significant increase in the content of dry soluble matter, total sugar, and a lower content of nitrates, but inoculation negatively affected the content of vitamin C, especially in triploid watermelon. Comparing the two rootstocks, over three years of testing, we can conclude that grafted watermelon plants on the Cobalt F1 hybrid rootstock had a higher content of dry matter, total sugar, and lower nitrate content than on the Pelops F1 rootstock. The feasibility of using grafted plants in modern growing conditions has been proven.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0000.001
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 head0.010
GPT teacher head0.222
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.

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNaukovì dopovìdì Nacìonalʹnogo unìversitetu bìoresursiv ì prirodokoristuvannâ UkraïniSame topicPlant Disease Management TechniquesFrench-language works237,207