WEED POPULATION INDICES IN IRRIGATED WHEAT FIELDS OF ZANJAN PROVINCE OF IRAN
Bibliographic record
Abstract
In order to identify and determine the abundance of weed species in irrigated wheat fields of Zanjan province, Iran, 128 wheat fields in seven counties during 2000 to 2008 were investigated. With counting weed species in each sampling quadrate, population indices were calculated. In each field longitude, latitude and elevation were recorded using GPS (global positioning system). These data were used for producing weed species maps in irrigated wheat fields in Zanjan province. Results showed that 97 weed species were observed within irrigated wheat fields. The most important broadleaved weed species were knotweed (Polygonum aviculare L.), bedstraw (Galium tricornatum Dandy.) and salsify (Tragopogon sp. L.), respectively. Dominant grass weed species were feral rye (Secale cereale L.), blackgrass (Alopecurus mysuroides Huds.), downy brome (Bromus tectorum L.) and bulbous bluegrass (Poa bulbosa L.), respectively. Field bindweed (Convolvulus arvensis L.), common lambsquarters (Chenopodium album L.), hoary cress (Cardaria draba [L.] Desv.) and Canada thistle (Cirsium arvense [L.] Scop.) were the most important disturbing plants prior to harvesting respectively in irrigated wheat fields of Zanjan province. Analysis of weed population based on Shannon-Wiener diversity index showed that the counties were grouped in three clusters. Tarom County was placed in first cluster and had lowest diversity among the counties. Zanjan, Eijrood and Abhar counties had the most species diversity and were placed in second cluster. Mahneshan, Khodabandeh and khorramdarreh were placed in third cluster. Evolution weed population based on Sorensen similarity index showed that, Eijrood with the Abhar had the most composition species similarity, where as Tarom had the lowest similarity with the other counties.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".