Yield Potential of Silage Sorghum: Cultivar Differences in Biomass Production, Plant Height, and Tillering Under Contrasting Soil Conditions in Central Europe
Bibliographic record
Abstract
We conducted a three-year field study to evaluate the above-ground biomass yield, plant height, and tillering capacity of eight Sorghum bicolor (L.) Moench varieties under two contrasting soil conditions (heavy clay soil and sandy soil) with different water retention. At the Field Experimental Station Žabčice of Mendel University in Brno, Czech Republic, we assessed yield performance and yield stability across years and environments. We applied standard agronomic practices and recorded detailed soil and climatic data. Significant differences were found among varieties and between locations in terms of plant height and tillering. KWS SOLE showed the most stable yield (11.80–15.63 t ha−1), while LATTE, KWS TARZAN, and KWS HANNIBAL achieved the highest average yields (up to 20.16 t ha−1). Plant height showed a strong positive correlation with biomass yield. This relationship underscores plant height as a valuable trait for selecting sorghum varieties with improved productivity and drought resilience. Variations in tillering capacity and environmental conditions also significantly influenced yield outcomes, highlighting the complex interaction between genotype and environment. These findings offer practical insights for cultivar selection and breeding strategies that aim to enhance the performance of sorghum varieties under the variable climatic conditions of Central Europe.
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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 | 0.000 | 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".