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Record W4417175133 · doi:10.1016/j.indcrop.2025.122445

The impact of bag-controlled release fertilizer on the site conditions and growth of Lei bamboo (Phyllostachys violascens) forests

2025· article· en· W4417175133 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial Crops and Products · 2025
Typearticle
Languageen
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsUniversity of British Columbia
FundersNatural Science Foundation of Zhejiang Province
KeywordsBambooNutrientFertilizerPhosphorusNitrogenHuman fertilization

Abstract

fetched live from OpenAlex

The use of fertilizers has become a growing problem worldwide. Various techniques have been developed to ensure that fertilizers are delivered in the right amounts and at the right time. We investigated the effects of bag-controlled release fertilizer (BCRF) on site conditions and growth of Lei bamboo, aiming to optimize fertilization strategies. Experiments compared broadcast fertilization (15 kg/S15; 30 kg/S30) with equivalent BCRF doses (15 kg/B15; 30 kg/B30) and no fertilizer (CK) across bamboo ages (1–3 years, T1–T3) and BCRF quantities (1–7 bags). Key findings revealed BCRF's superior efficiency, in 10–20 cm soil, B15 increased total nitrogen by 27.03 % than CK, and 27.10 % higher than the broadcast fertilizer treatment. Leaf total phosphorus under B15 was 28.13 % higher than S15 and 64.00 % above CK. BCRF-enhanced nutrient retention boosted bamboo shoot yields, with B15 outperforming S15 by 31.81 %. Age significantly influenced nutrient uptake, 3-year-old bamboo stands (T3) showed higher soil available nutrients than younger bamboo 5 months post-fertilization. The nutrient content in the leaves of 1-year-old bamboo was the highest, and the PI ABS value of the photosystem was also the highest, 59.52 % and 131.03 % higher than that of the 2- and 3-year-old bamboo, respectively. Optimal BCRF application involved 3 bags (600 g total), achieving soil-available potassium levels 28.70 % higher than single-bag treatments and 104.41 % above CK after 300 days, with comparable results to heavier 5–7 bags applications. While the 3 bags application maximized internode length and diameter at breast height, increasing to 5–7 bags caused significant reductions of 7.25 %–16.28 % from peak values. In conclusion, BCRF can reduce fertilizer use while ensuring the nutritional growth of Lei bamboo. Therefore, it can be applied as an efficient fertilization method in the management of Lei bamboo. • Appropriate fertilizers use boosts bamboo shoot yield. • Bag-controlled release fertilizers outperform broadcast fertilizers application. • Applying more fertilizer beyond the optimal amount produce no significant gain. • Bag-controlled release fertilizers reduce eutrophication and gaseous emission risks.

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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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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