Review: Nitrogen assimilation in crop plants and its affecting factors
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.
Bibliographic record
Abstract
Mokhele, B., Zhan, X., Yang, G. and Zhang, X. 2012. Review: Nitrogen assimilation in crop plants and its affecting factors. Can. J. Plant Sci. 92: 399–405. In this review we discuss mainly nitrogen assimilation in crop plants and factors affecting the related process. Nitrogen is a major macro-element limiting the growth and development of plants in agriculture. Both organic and inorganic forms of nitrogen are metabolized in plants; nitrate and ammonia in soil are common forms of inorganic nitrogen that can be metabolized in all plants. There are other nitrogen forms, which include amino acids, nitrite and urea, that are metabolized in plants. Metabolism normally starts with reduction of nitrate to nitrite, and the latter further reduces to form ammonium with the presence of relevant enzymes. This reaction occurs more rapidly in leaves in the presence of light. After ammonia is formed, it enters into the biosynthetic pathways of plant cells, such as reductive amination and transpiration, to produce different amino acids. Amino acids in cells take part in the synthesis of protein and other nitrogenous compounds that help in body building. Radiation, gaseous factors, the presence of metals, soil pH and amount of nitrate are some of the environmental factors affecting absorption and reduction of nitrogen in plants. This review presents a comprehensive understanding of the assimilation process by crop plants of nitrogen and recommends that favorable surrounding conditions are the prerequisites for plants to absorb and utilize nitrogen efficiently.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| 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 it