Understanding the root rot and wilting complex of raspberry: current research advances and future perspectives
Bibliographic record
Abstract
Red raspberry (Rubus idaeus L.) is an important fruit crop in British Columbia, Canada, and the Pacific Northwest (PNW) region of the USA, as well as in other regions of the world. Root rot and wilting complex (RRWC), primarily caused by Phytophthora rubi, is the most important biotic constraint responsible for declining raspberry production in these regions, causing millions of dollars in losses. Other root-infecting fungal species and the root lesion nematode (Pratylenchus penetrans) may also be found associated with the disease complex. The average lifespan of raspberry plantings in the PNW is 10 to 12 years, which is reduced to 5 years by the disease complex. Phytophthora spp. play a predominant role in the RRWC complex due to the persistent nature of oospores, rapid dispersal of inoculum, and the polycyclic nature of infection, all of which increase disease severity. In this review, we discuss the current understanding of Phytophthora spp. and other pathogens associated with the RRWC, including pathogen biology and the disease cycle, the impact of infection on the plant, as well as current and potential cultural, biological, and chemical options for management. In addition, we discuss breeding efforts for disease resistance, including conventional and molecular approaches to identify sources of resistance, molecular markers linked to potential resistance genes, and their incorporation into elite breeding materials or cultivars. We also present the current gaps in knowledge, unique challenges, and future perspectives in sustainable disease management of this important disease complex.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".