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Record W3145810032

沙培条件下磷、钾、钙亏缺对枳(Poncirus trifoliata)幼苗根系形态及营养吸收的影响

2014· article· zh· W3145810032 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue植物营养与肥料学报 · 2014
Typearticle
Languagezh
FieldEngineering
TopicPolymer-Based Agricultural Enhancements
Canadian institutionsnot available
Fundersnot available
KeywordsTraditional medicineMedicine
DOInot available

Abstract

fetched live from OpenAlex

【目的】根系是吸收水分和养分的主要器官,对于多年生木本果树的生长发育尤为重要。由于果树根系庞大、分布错综复杂,对根系构型和空间分布等的研究相对较少。本文利用计算机扫描系统及其图像分析软件观测根系二维形态参数,并用原子吸收法测定植株养分含量,以探索养分亏缺对枳根系形态的影响,以及根系形态变化与植株养分吸收的关系。【方法】本试验在沙培条件下,以柑橘砧木枳(Poncirus trifoliata)实生苗为试材,研究了缺磷、钾和钙对其根系形态以及植株体内营养元素含量的影响。利用爱普生数码扫描仪(Expression 10000XL 1.0,Epson Inc.Japan)扫描根系,并用WinRhizo Pro(S)v.2004b软件(Regent Instruments Inc.,Canada)分析获取根系总长、总体积和总表面积等二维形态参数。利用原子吸收光谱仪(SPECTR AA220)测定样品K、Ca、Mg、Fe、Cu、Zn等元素含量。【结果】从扫描数据可知,3种缺素处理对枳幼苗根系形态结构有较大的影响,即在缺素时根系总长、表面积和体积均显著降低,缺P处理使枳实生苗粗根的根系长度、表面积、体积显著降低,但是增加了中等粗根的表面积和体积;缺K和缺Ca处理的中等粗根根系长度、表面积和体积均显著低于对照;3种缺素处理均显著降低了细根和粗根的根系长度、表面积和体积。不同缺素处理对植株根系和地上部生长的影响也存在差异,缺P对地上部的抑制作用显著强于根系,缺K处理对根系生长的抑制作用较强,缺Ca对根系和地上部生长的抑制作用均较小。缺Ca处理植株体内Zn和Fe浓度均显著增加但Ca浓度降低,缺P时植株体内Ca和地上部Zn浓度增加,而缺K时植株体内Ca、Zn浓度增加但Fe和K浓度均显著降低。【结论】不同缺素条件下枳实生苗根系形态各异,导致根系对不同养分的吸收能力不同,从而使植株体内K、Ca、Zn、Fe等养分含量发生改变,最终影

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.011

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 head0.008
GPT teacher head0.200
Teacher spread0.192 · 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