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Record W2330069849 · doi:10.3724/sp.j.1006.2011.01259

Responses of Corn (Zea mays L.) Nitrogen Status Indicators to Nitrogen Rates and Soil Moisture

2011· article· en· W2330069849 on OpenAlexafffund
Juanjuan Zhu, Yinli Liang, TREMBLAY Nicolas

Bibliographic record

VenueACTA AGRONOMICA SINICA · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaChinese Academy of Sciences
KeywordsNitrogenZea maysAgronomyEnvironmental scienceMoistureBiologyChemistry

Abstract

fetched live from OpenAlex

摘要: SPAD-502叶绿素仪与Dualex-3多酚仪均可诊断作物的氮素营养状况, 为了探讨不同水分条件下该指标对作物施氮量的响应, 以玉米品种Pioneer 38B84为研究对象, 在温室盆栽条件下, 研究3个土壤水分水平(干旱、干旱后复水和水分良好)和4个施氮水平(0、50、50+75和200 kg hm-2), 即12个处理对植物含氮量、SPAD值、Dualex值以及SPAD/Dualex比值的影响。结果表明, 植物含氮量、SPAD值和SPAD/Dualex比值均随施氮量的增加而增加, Dualex值随施氮量的增加而减少。干旱胁迫初期, 植物含氮量、SPAD值和SPAD/Dualex比值迅速下降, Dualex值迅速增加;随着干旱胁迫时间的推进, 各指标逐渐呈相反趋势变化。干旱复水后, 植物含氮量、Dualex值和SPAD/Dualex比值逐渐恢复, 然而SPAD值恢复较小。SPAD值(r=0.92)、Dualex值(r= -0.86)及SPAD/Dualex(r=0.63)值与植物含氮量呈极显著的相关性, 但试验后期, 由于生长阶段的不同, SPAD值和Dualex值与植物含氮量在干旱条件下(SPAD:r=0.90;Dualex:r= -0.83)的相关性高于在水分良好条件下(SPAD:r=0.39; Dualex:r= -0.44)。通过比较不同水分条件下, SPAD值、Dualex值和SPAD/Dualex值对不同施氮量的响应, 发现Dualex值在不同水分条件下均能较好地反应施氮水平。

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.378

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 head0.030
GPT teacher head0.235
Teacher spread0.206 · 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 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

Citations2
Published2011
Admission routes2
Has abstractyes

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