Influence of plant population and nitrogen rate on occurrence of Fusarium head blight on some wheat varieties during 2013 in Serbia.
Bibliographic record
Abstract
Fusarium head blight is one of the most important diseases on wheat which can cause numerous types of Fusarium genus. The most significant species that causes Fusarium head blight in USA, Canada and Europe is F. graminearum. The consequences of infection by Fusarium head blight are different, but the most common are reduced yield, physiological and physico-chemical changes of grain and grain mycotoxin contamination. The aim of this study is to test occurrence of natural infection by Fusarium head blight depending on varieties, applied amount of nitrogen (0 kg/ha, 50 kg/ha, 100 kg/ha, 150 kg/ha) from fertilizer of ammonium nitrate (AN 33-35% N) and depending on seeding rate (300 grains/m², 500 grains/m², 700 grains/m², 900 grains/m²). Experiment was set up on Rimski Šančevi, Novi Sad, Serbia, on chernozem soil group. The study included 10 current and perspective varieties of winter wheat and triticale, which were created at the Institute of Field and Vegetable Crops in Novi Sad. Occurrence of Fusarium head blight was tested during the growing season 2012/2013 on nine winter wheat varieties (Arabeska, NS 40S, Zvezdana, NS Desetka, NS Avangarda, NS Futura, NS Ilina, Emina, Enigma) and one triticale variety (Odisej). The evaluation of the intensity of occurrence of infected ears was performed in phenophase of milk and wax maturity of wheat grain. The obtained results were statistically processed in the program Statistica 12 by using analysis of variance and Duncan's multiple range test. Tested varieties had low average number of infected ears by Fusarium head blight on the area of Rimski Šančevi during 2013. Out of ten tested varieties, the highest average number of infected ears had Zvezdana (6.0) and the lowest variety Odisej (1.3). A higher level of correlation between the number of infected ears by Fusarium head blight and seeding rate was established at NS Futura variety. That indicates an increase of the number of infected ears with increasing seeding rate. \nDifferent amounts of the applied nitrogen for wheat top fertilization showed different effects to the occurrence of Fusarium head blight. The highest average number of infected ears was established at variety Zvezdana with 50 kg/ha of the applied nitrogen from fertilizer of ammonium nitrate. By increasing amounts of nitrogen, the number of infected ears increased at varieties NS 40S, NS Desetka, NS Futura and Enigma.
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.
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 | 0.000 | 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) | 0.000 | 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".