Evaluation of New Sugarcane Genotypes for Biometric Traits, Resistance to Red Rot and Borers Complex under Agro-Climatic Conditions of Faisalabad, Pakistan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Adaptability of new candidate sugarcane genotypes is challenging in different sugarcane growing regions of Pakistan due to diverse edaphic and climatic conditions.Climate change is hampering productivity of commercial varieties due to elevated attack of sugarcane diseases, red rot in particular and insect pests intensity.This two-year study was conducted to evaluate the performance of five promising sugarcane genotypes against check variety CPF 247 for biometric evaluation and resistance to red rot and borers complex for two consecutive growing seasons (2014-2015 and 2015-2016).Results indicated a significant varietal difference among the clones for adaptability and genotypic response in semi-arid conditions of Faisalabad.The genotype, S2006 SP-93, exhibited higher sprouting, stalk diameter, stalk length, cane yield and sugar yield than all others including check variety.Among all six clones, only genotype S2006 SP-93 showed moderately resistant reaction whereas rest of clones were remained susceptible to red rot disease during both years.Genotypic response for resistance against borers complex was not consistent for both years of study.All clones were found resistant or moderately resistant except Thatta-910 and CSSG-32, which were moderately susceptible for 1 st and 2 nd year, respectively.In conclusion, new sugarcane genotype S2006 SP-93 found superior owing to good agronomic and qualitative performance, better resistance to red rot and borers complex than other clones tested under the agro-ecological conditions of Faisalabad.
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.
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 it