Effects of zinc application strategy on zinc content and productivity of chickpea grown under zinc deficient soils
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
Field experiments were conducted at three locations with Zn deficient soils in southern Ethiopia during 2012 and 2013 cropping seasons to evaluate the effects of Zn fertilization strategies and varietal differences on Zn content and plant performance of chickpea (Cicer arietinum L.).Factorial combinations of three Zn fertilization strategies and five varieties were laid out in a randomized complete block design with three replications in each location and year.A combined analysis of variance was made using a mixed effects model.Zinc foliar application increased grain Zn content by 21 and 22% over Zn soil application and seed priming, respectively.The improvements were around four folds for straw Zn content for the same comparisons.Effects of Zn application strategies on gain and straw Zn contents were consistent across locations.The grain Zn concentration varied among the varieties ranging from 34 mg kg -1 for Mastewal to 42 mg kg -1 for the Landrace and variety Arerti.Zn application strategies did not affect the growth and yield parameters, except for pod bearing branches.Foliar Zn application and appropriate variety selection are potential approaches for Zn biofortification in chickpea.Further study aimed at identifying most effective spray timing for maximum grain quality response would be worthwhile to cut fertilizer and application costs.
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 | 0.000 |
| 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 it