MétaCan
Menu
Back to cohort
Record W2134657848 · doi:10.5539/jas.v3n1p28

Zinc Fertilization Methods on Zinc Absorption and Translocation in Wheat

2011· article· en· W2134657848 on OpenAlexvenueno aff
Aiqing Zhao, Xinchun Lu, Zihui Chen, Xiaohong Tian, Xiwen Yang

Bibliographic record

VenueJournal of Agricultural Science · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
FundersProgram for New Century Excellent Talents in University
KeywordsCalcareousZincRandomized block designHuman fertilizationChemistryCultivarAgronomyShootWheat grainCalcareous soilsHorticultureBiologyBotany

Abstract

fetched live from OpenAlex

To increase grain Zn concentration of wheat grown on calcareous soil, field and hydroponic culture experimentswere conducted to investigate the effects of various Zn fertilization methods on Zn absorption and translocationin wheat. A completely randomized block design was used in the field experiment comprising five Zn treatments(0, 7.5, 15, 30, and 45 kg Zn/ha as ZnSO4·7H2O) and wheat cultivar (Zhengmai 9023). The hydroponic experiment used a completely randomized block design with two factors (Zn supplementation to root and foliarspray of Zn). Results showed that in the field experiment, Zn fertilization significantly increased the amount ofsoil diethylene triamine penlaacetic acid-Zn (DTPA-Zn), whereas there was no significant effect on Znconcentration in grain. Furthermore, the utilization rate of Zn fertilizer was only 0.98%, 0.64%, 0.29%, and0.14% with treatments of 7.5, 15, 30, and 45 mg Zn ha-1, respectively. In contrast, the hydroponic experimentshowed that both foliar spray and Zn supplied to roots significantly increased Zn concentration in grain, with thegreatest concentration found in shoots. Results suggested that lower absorption and translocation were theinhibitory factors to increase grain Zn concentration in calcareous soil. Consequently, Zn fertilization topotentially Zn-deficient calcareous soils is not effective method to increase grain Zn concentration.

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 score0.890
Threshold uncertainty score0.108

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 science0.0000.000
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 head0.038
GPT teacher head0.276
Teacher spread0.238 · 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

Citations34
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicPlant Micronutrient Interactions and EffectsFrench-language works237,207