EFFECT OF IRRIGATION WATER SALINITY ON TRANSPIRATION AND LEACHING REQUIREMENT: A CASE STUDY FOR WHEAT UNDER SEMIARID ENVIRONMENT OF PUNJAB
Bibliographic record
Abstract
Salt is a natural component of soil and water.Salinization can be produced by natural processes such as weathering or mineral phase out of an ocean.Also, it can be produced by artificial means such as irrigation.Land degradation by salinity, sodicity or combination of both is one of the major impediments to agricultural productivity throughout the world.Most salt-affected soils occur in arid and semi-arid climates.Around 800 million hectares (mha) of land (5-6% of world total land area) are salt affected.The problem of salt affected soils is not new, but its intensity has been increasing because of poor management practices and inappropriate amelioration procedures.Keeping in view the salinity problem in the soils of Pakistan, analysis was taken in order to compute the leaching requirements of the soil of lysimeter at field site of water management research center.Irrigation were applied on the basis of leaching requirement of the soil to leach down the salts.The canal water yield was high 4.99 tons/ha as compared to the tubewell water 4.33 tons/ha.The ANSWER model was used to compare the actual and modeled.The R2 value for canal water yield was high (0.892) as compared to tubewell water yield (0.862).The evapotranspiration measurements were also be taken from water balance equation and results were showed that the tubewell water ET was more as compared to canal water because more water was applied to leach down the salts, so more water was also evaporates as compared to the canal water.The leachate of tubewell water was more as compared to the canal water due to the reason that more salts were present in the tubewell water and applied more water to leach down the salts.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".