Physiological Behavior of Potato cv. Tollocan at Diverse Types of Salinity
Bibliographic record
Abstract
The objective of this experiment was to analyze the growth of Solanum tuberosum cv. Tollocan under sulphate-hydrochloric, hydrochloric-sulphate and sulphate-sodium soil salinities at various concentrations, as occurs in soils where potatoes are grown in Mexico (Toluca Valley, highlands of Nuevo León and foothills of the Laguna del Carmen in Tlaxcala) with damages to the crop yield by salt stress. For this purpose a greenhouse experiment was conducted with randomized complete block design composed by three treatments and three repetitions. This consisted of planting tubers and growing plants in pots with perlite, and subjecting them to irrigation with saline solutions prepared in the laboratory at electrical conductivities from 0 to 15.0 dS m-1, whose ionic relations of ?1.5, , allowed simulating those induced by salinities in field. The physiological behavior of plants in the vegetative stage of tuberization and tuber filling was evaluated using as variables the number of leaves, leaf area index, net photosynthesis, shoot length, root length and number and diameter of tubers per plant. Likewise its biomass accumulation and tolerance to each salinity was determined. Results indicate a severe reduction in growth, presence of secondary tubers and formation of small potato tubers in plants subjected to sulphate-hydrochloric and hydrochloric sulphate salinities from an electrical conductivity > 6.0 dS m-1, so that cv. Tollocan is considered sensitive to these conditions. The reduction was more drastic and significant with P= 0.05 in sulphate-sodium salinity, since 3.88 dS m-1 of electrical conductivity, dwarf plants grew without forming tubers and thus, are considered hypersensitive to this salinity.
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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 | 0.000 |
| 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) | 0.001 | 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".