DigitalCommons@USU
metadata only
A Rapid Serological Bean Blight Test and Antibiotic Control Measures
The detection and identification of bacterial pathogens in bean tissues can be accomplished with relative ease and certainty by utilizing antiserum prepared against specific bean pathogens. This test requires only fifteen minutes to complete, and a minimum amount of equipment. In addition to speed a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Prevalence and distribution of the World Health Organization Bacterial Priority Pathogens in selected hospitals in Katsina State, Nigeria: Prévalence et répartition des agents pathogènes bactériens prioritaires de l'Organisation Mondiale de la Santé dans certains hôpitaux de l'État de Katsina, au Nigéria#1149018
- Robust design of LAMP assays for in-field detection of major bacterial vascular diseases of banana#376013
- Harnessing indigenous bacterial defenders to improve disease resistance and plant health in vegetable Brassica crops.#446393
- Efektivitas Senyawa Bioaktif Ekstrak Etanol Buah Lindur (Rhizophora mucronata Blume) Sebagai Pengembangan Obat Tradisional terhadap Bakteri Escherichia coli dan Staphylococcus aureus”#393985
- Comparison of serological and molecular methods for diagnosis of viruses causing yellowing and stunting symptoms for the pulse crops#991215
Record · ID 1263282
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive