Comparison of rhizosphere impacts of two wheat genotypes differing in phosphorus utilization efficiency
Bibliographic record
Abstract
Exploitation of high phosphorus (P) use efficiency genotypes of crops and understanding their rhizosphere P activation mechanisms is essential to development of beneficial management practices for sustainable agricultural production. A pot experiment was carried out to investigate the differences in changes of pH, phosphatase activity, and water-soluble P in the rhizosphere soil and crop growth and P content of two constrasting wheat genotypes (P-efficient, Xiaoyan54, and P-inefficient, Jing411) in a calcareous soil supplied with three rates (0, 50, and 100 mg kg-1 soil, which are coded as P0, P50 and P100, respectively) of fertilizer P. Results showed that root biomass, root/shoot ratio and efficiency index of Xiaoyan54 were significantly higher than those of Jing411 at the same P level. In addition, the roots of Xiaoyan 54 absorbed significantly more P than the roots of Jing 411, except for the P50. The dry weight of shoot biomass was similar between the two wheat genotypes. Wheat biomass and P content in shoot, root and the total for both genotypes increased for P supplied treatments, compared with those without P supply. The rhizosphere acidification capacity of Xiaoyan54 was greater than Jing411 without P addition. However, Xiaoyan54 acidified rhizosphere soil at a larger distance than Jing411 at high P fertilization. The phosphatase activity did not differ between the two genotypes, regardless of the location in the rhizosphere. Soil applied with high P decreased the phosphatase activity for the root surface soil only. Water-soluble P concentration in rhizosphere and the bulk soil were similar for Xiaoyan54 and Jing411, and increased as increasing P levels. Xiaoyan54’s large root biomass and strong acidification ability might be the main mechanisms contributing to high P uptake under P-deficient conditions. Key words: Phosphatase activity, acidification, wheat, genotype, root biomass
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".