Effects of arbuscular mycorrhiza and nitrogen nutrition on growth and nutrient uptake of chickpea and barley
Bibliographic record
Abstract
Chickpea is a traditional low-input crop in the farming systems of the Indian subcontinent and the Near East where it is an integral part of the daily diet of the people.The crop is also popular in the Ethiopian Highlands and in Central and South America.Because of its adaptability to a wide range of environments, it is being promoted even in countries such as Australia, Canada and USA.Research on the chickpea crop was neglected for many years and only recently due attention has been paid to it.The amount of work published on chickpea research during the past decade may well equal all that had appeared in the several preceding decades.Very important crop plants, i.e., legumes species, can obtain a significant portion of their N requirement through symbiotic N 2 fixation when grown in association with effective and compatible Rhizobium strains.In crop rotations they improve the N nutrition and yield of subsequent cereals.Chickpea (Cicer arietinum L.) as a legume holds a unique position among pulse crops due to its seed protein content and wide adaptability in ecologically diverse environments.It has been shown that an intensive root colonization of chickpea by arbuscular mycorrhizal fungi (AMF) fosters plant growth and dry matter production.The positive fungal effect on plant P uptake is beneficial for the functioning of the nitrogenase enzyme of the rhizobial symbiont leading to a higher N 2 fixation.Mycorrhizal and rhizobial symbioses often act synergistically on infection rate, mineral nutrition and plant growth.In this respect, it is of vital importance to promote the research and usage of underutilized crops worldwide and in Austria.The following work shall make a contribution to enhance knowledge and usage of chickpea.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| 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 teacher head, 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".