The Influence of No-till Farming on Durum Wheat Mycorrhization in a Semi-Arid Region: A Long-Term Field Experiment
Bibliographic record
Abstract
Maintaining a reliable and sustainable agricultural production system has become one of the major concerns of producers in arid and semi-arid regions. Simplifying farming techniques and practicing Direct Seedling (DS) could contribute to insure the sustainability of agriculture, preserving the natural resources and the environment. Direct Seedling based on limiting soil plowing has a potential number of benefits, including reduced production costs and soil erosion. Associated with the organic mulch, this technique improves the soil fertility and favors the establishment of root symbioses. Given the importance of the no-till farming techniques, the present research work aims to compare the effects of DS and those of Conventional Seedling (CS) on the evolution of arbuscular mycorrhizal symbiosis in durum wheat (Triticum durum Desf) roots, cultivated in the field for five years. Soil and root samples were collected during three different cropping stages at two different treatments. The results of Arbuscular Mycorrhizal Fungi (AMF) root colonization kinetics have shown an increase in the percentage of arbuscules and a decrease in vesicles for plants sampled from a DS field compared to those from CS. Effects of the DS on the mycorrhizal parameters appears clearly in the fourth year of the experiment and continues in the fifth year, with an arbuscule percentage reaching 80% in a DS field and not exceeding 21% in a CS field. Soil phospholipid fatty acids (PLFA) C16:1ω5 (biomarker of AMF) and C18:2ω 6, 9 (biomarker of saprophytic/ectomycorrhizal fungi) demonstrate that no-till practice improves AMF biomass and saprotrophic/ectomycorrhizal fungal biomasses by 52 and 159%, respectively, in comparison with those found in a CS field. In both treatments, no-till farming and CS plots, the AMF biomass is higher than saprotrophic/ectomycorrhizal biomasses. The natural biodiversity of AMF is also enhanced in a no-till field. In addition, an increase in the relative abundance of six families of Glomeromycota (Gigasporaceae, Diversisporaceae, Scutellosporaceae, Entrophosporaceae, Acaulosporaceae, Dentiscutataceae) was observed. To summarize, the present study highlights the importance of no-till practice as an approach to restore the microbiome in soils disturbed by tillage in semi-arid regions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".