Marker-assisted Pyramiding Resistance Genes Against Angular Leaf Spot and Common Bacterial Blight Disease into Preferred Common Bean Cultivar
Bibliographic record
Abstract
Angular leaf spot (ALS) caused by Pseudocercospora griseola and common bacterial blight (CBB) caused by Xanthomonas campestris pv phaseoli X. campestris pv. phaseoli var. fuscans are the most economically important diseases of common bean production in Ethiopia. This research aims at pyramiding the Phg-2 R gene for angular leaf spot resistance and two CBB major resistance quantitative trait loci (RQTLs) into the background of the most popular and susceptible common bean cultivar “REDWOLAITA” (RW) with the aid of marker-assisted breeding method. Marker-assisted Parallel Back Crossing (MAPBC) breeding scheme with three separate parallel backcrossing streams were adopted for tracking three independent resistance loci linked to g796 ( Phg-2 for ALS resistance) and, SU91 and SAP6 genetic markers from two different donor parents to the REDWOLAITA recurrent parent. The two donor parental lines VAX6 (with known RQTLs tagged by the SAP6 and SU91 genetic markers on linkage groups 10 and 8, respectively) and MEX54 with the Phg-2 R gene tagged by the g796 genetic marker at the linkage group 8 were used in the gene pyramiding program. After the BC4 generation, progenies that combined SAP6 and g796 genetic markers were created and selected from the BC4 inter-crossing of progenies. Then, further inter-crossing was made between selected progenies that combined the SAP6 and g796 genetic markers with selected progenies with the SU91 genetic marker. Finally, from this study we developed Monogenic Near Isogenic Lines (MNILs) with R genes tagged by the SAP6, g796, and SU91 molecular markers and polygenic PNILs with different gene combination includes MNIL SAP6 , MNIL SU91 & MNIL g796 , polygenetic PNILs SAP6/g796 , PNILs SU91/g796 , PNILs SAP6/SU , PNILs SAP6/g796/SAP6 , with more than 97% genome recovered from the RW genetic background. Marker-assisted backcrossing facilitated selection of progenies that combined good agronomic traits with resistance loci were constructed from the RW common bean cultivar genetic background and tested under the screening house condition. The developed lines showed high level of disease resistance to the strains of CBB and ALS present under the screening conditions. They were selected to be multiplied and tested under multiple environment, before varietal release and wider production. Developed MNILs with good agronomic background will also be used as alternative donor parent for the future gene pyramiding program.
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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".