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Record W3205204061 · doi:10.1002/jpln.202100040

Molybdenum‐induced effects on nitrogen uptake efficiency and recovery in wheat (<i>Triticum aestivum</i>L.) using<sup>15</sup>N‐labeled nitrogen with different N forms and rates

2021· article· en· W3205204061 on OpenAlexaff
Mohamed G. Moussa, Chengxiao Hu, Ali Mohamed Elyamine, Marwa A. Ismael, Muhammad Shoaib Rana, Muhammad Imran, Muhamad Syaifudin, Qiling Tan, Charles Marty, Xuecheng Sun

Bibliographic record

VenueJournal of Plant Nutrition and Soil Science · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsUniversité du Québec à Chicoutimi
FundersNational Natural Science Foundation of China
KeywordsNitrogenChemistryMolybdenumFertilizerNitrateAgronomyInorganic chemistryBiology

Abstract

fetched live from OpenAlex

Abstract Background : Molybdenum (Mo) is an essential microelement for higher plants and plays a significant role in nitrogen (N) metabolism, which includes nitrate reduction, assimilation, and efficient N acquisition. Its deficiency in soil may induce the reduction of N uptake and wheat yield. Aims : We aimed to explore the Mo‐induced effects on N uptake efficiency and recovery in Mo‐inefficient winter wheat cultivar using a 15 N isotope tracer under different N forms (Nf) and N rates (Nr). Methods : The experiment was conducted in greenhouse conditions, and the treatments included three Nf in the form of 15 NH 4 Cl as sole NH 4 + , Ca ( 15 NO 3 ) 2 as sole NO 3 − , and 15 NH 4 15 NO 3 ) under two Nr [low (L) 0.05 and high (H) 0.25 g N kg –1 soil], with (+Mo) in form of [(NH 4 ) 6 Mo 7 O 24 ∙ 4H 2 O] and without (–Mo) Mo application. The plant biomass, Mo content, total N uptake, fertilizer 15 N uptake, soil N uptake, as well as N uptake, agronomic and physiological efficiency were evaluated. Furthermore, the fertilizer 15 N recovery in various wheat organs was also studied. Results : The results revealed that Mo application increased N uptake efficiency in wheat to 38.26%, 68.24%, and 71.53% when the plants are treated with low rates of NH 4 + , NO 3 − , and NH 4 NO 3 , respectively. While at a high N rate, N uptake efficiency increases to 46.26% and 45.34% in the case of NO 3 − and NH 4 NO 3 treatments, respectively, and it was slightly reduced to 10.84% when plants were supplied with NH 4 + form. Mo supply increased 15 N recovery from fertilizer in grain organ under low N rate with all supplied Nf, that is, NH 4 + , NO 3 − , and NH 4 NO 3 , while at high N rate, Mo enhanced 15 N recovery in grains organ in case of NO 3 − and NH 4 NO 3 forms. Conclusion : This study shows that Mo fertilization may be a promising strategy to improve N uptake efficiency and recovery in wheat when nitrate is the main N form.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.352

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 communication0.0000.000
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 head0.016
GPT teacher head0.220
Teacher spread0.204 · 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

Citations16
Published2021
Admission routes1
Has abstractyes

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