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Record W4411320610 · doi:10.5376/ijh.2025.15.0014

Effects of Boron Foliar Sprays at Different Concentrations on Growth and Yield of Cauliflower (<i>Brassica oleracea</i> var. <i>botrytis</i>) in Marin, Sindhuli, Nepal

2025· article· en· W4411320610 on OpenAlexvenueno aff
Anish Parajuli, Dinesh Khanal, Debina Sunari, Tej Bahadur Budhathoki, Promise Shrestha, Ganesh Lamsal

Bibliographic record

VenueInternational Journal of Horticulture · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsBrassica oleraceaYield (engineering)BotrytisHorticultureBoronChemistryBiologyAgronomyBotrytis cinereaMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The experiment was conducted to evaluate the effects of boron foliar sprays on growth and yield of cauliflower in Marin, Sindhuli, Nepal.An experiment was conducted during the winter season under open field conditions by using a Randomized Complete Block Design (RCBD) with 10 treatments and 3 replications.Treatments were foliar concentrations of 0.025% boron (1time spray), 0.025% boron (2-times spray), 0.025% boron (3-times spray), 0.05% boron (1-time spray), 0.05% boron (2-times spray), 0.05% boron (3-times spray), 0.075% boron (1-time spray), 0.075% boron (2-times spray), 0.075% boron (3-times spray) and control (no application of boron).The findings demonstrate that boron application positively impacts key yield parameters such as biomass, curd weight, curd diameter, curd size, and yield, while also reducing physiological disorder like hollowness in cauliflower curds.The experiment illustrates that the average mean yield of different treatments was 20.96 t/ha.Overall, the highest yield per hectare (25.66 t/ha) was found at 0.075% Boron (2-times spray) and the lowest yield per hectare (9.6 t/ha) was found at control.The study showed that the highest biomass of 3.02 kg was found at treatment 0.05% Boron (3-times spray), and the lowest biomass was found at Control with 1.46 kg.Data of the study revealed that the highest curd weight of 1.997 was found at treatment 0.05% Boron (3-times spray) and the lowest biomass was found at Control (0.71 kg).Likewise, the highest curd size (66.76 cm) was reported at treatment 0.075% Boron (2-times spray), and the smallest curd size (44.55 cm) was found at control.The study showed the highest curd diameter of 23.03 cm was found at treatment 0.075% Boron (2-times spray), and the lowest curd diameter of 14.25 cm was found at control.The study also revealed that the highest length of hollowness (8.57cm) was found at Control and the lowest length of hollowness (0.16 cm) was found at 0.075% Boron (3-times spray) while, the highest diameter of hollowness (1.83 cm) was found in control and the lowest diameter of hollowness (0.16 cm) was found at 0.025% Boron (3-times spray).The data revealed from the study concluded that applying foliar spray of 0.075% boron (2 times) enhances cauliflower productivity and curd size making it a suitable recommendation for farmers in the region.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

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 science0.0010.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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 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
Published2025
Admission routes1
Has abstractyes

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