Bibliographic record
Abstract
【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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".