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Artigos de revistas sobre o tema "Agronomie – Diagnostic"

Autor: Grafiati

Publicado: 13 de julho de 2024

Última modificação: 31 de julho de 2025

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1

Byerlee, Derek, Bernard Triomphe, and Michel Sebillotte. "Integrating Agronomic and Economic Perspectives into the Diagnostic Stage of On-farm Research." Experimental Agriculture 27, no. 2 (1991): 95–114. http://dx.doi.org/10.1017/s0014479700018767.

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SummaryCrop production surveys, which integrate the collection of data on both agronomic and economic variables, are increasingly common in on-farm research. A conceptual framework for designing and analysing such surveys is provided. Methodological issues in conducting crop production surveys are reviewed with respect to type of information collected, level of field observation, degree of quantification, frequency of observation, sampling, measurement of yields and yield components, and analysis of yield limiting factors. It is concluded that, while better integration of agronomic and economi

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2

Saeed, Muhammad, Zainab Jamil, Tayyab Shehzad, et al. "Role of Next Generation Sequencing (NGS) in Plant Disease Management: A Review." Journal of Applied Research in Plant Sciences 4, no. 01 (2023): 512–17. http://dx.doi.org/10.38211/joarps.2023.04.01.61.

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A high throughput technique used to determine a part of the nucleotide sequence of an organism’s genome is called next generation sequencing (NGS). NGS has been Proven revolutionary in genomics. Clinical diagnostics, Plant diseases diagnostic and other aspects of medical are now made possible by sequencing. Techniques of NGS: there are different techniques of NGS which are being used in real life sciences i.e., Illumina sequencing, Pyrosequencing, Roche 454 sequencing and Ion torrent sequencing. All vintage methods like culturing in bacterial, fungal, and viral samples are being suppressed by

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3

Cossani, C. Mariano, and Victor O. Sadras. "Carbon isotope composition for agronomic diagnostic: Predicting yield and yield response to nitrogen in wheat." Field Crops Research 279 (April 2022): 108451. http://dx.doi.org/10.1016/j.fcr.2022.108451.

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Csorba, Ádám, Arwyn Jones, Tamás Szegi, Endre Dobos, and Erika Michéli. "The diagnostic continua of the soils of Europe." Hungarian Geographical Bulletin 71, no. 4 (2022): 313–23. http://dx.doi.org/10.15201/hungeobull.71.4.1.

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Diagnostic horizons, properties and materials are commonly applied building units of national and international soil classification systems. The presence, depth or absence of diagnostic information supports the process of objective soil classification, such as the World Reference Base (WRB). While the diagnostic units and associated descriptive qualifiers convey information that reflect pedogenesis, they also indicate important, and often complex properties that are related to soil fertility and other soil functions. The spatial extent or the continuum of diagnostic information is often differ

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5

Eponon, Christophe, Didier Snoeck, Emmanuel Kassin, Jules Keli, and Daouda Kone. "Diagnostic agronomique des pratiques culturales paysannes dans les vergers caféiers de Côte d'Ivoire." Cahiers Agricultures 26, no. 4 (2017): 45007. http://dx.doi.org/10.1051/cagri/2017041.

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6

Lievens, Bart, and Bart P. H. J. Thomma. "Recent Developments in Pathogen Detection Arrays: Implications for Fungal Plant Pathogens and Use in Practice." Phytopathology® 95, no. 12 (2005): 1374–80. http://dx.doi.org/10.1094/phyto-95-1374.

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The failure to adequately identify plant pathogens from culture-based morphological techniques has led to the development of culture-independent molecular approaches. Increasingly, diagnostic laboratories are pursuing fast routine methods that provide reliable identification, sensitive detection, and accurate quantification of plant pathogens. In addition, since plants or parts thereof can be infected by multiple pathogens, multiplex assays that can detect and quantify different pathogens simultaneously are highly desirable. Technologies that can meet these requirements, especially those invol

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Pavlova, O. I. "REMOVED CONTROL OF AGRICULTURAL ECOSYSTEMS." Vegetable crops of Russia, no. 1 (March 30, 2011): 59. http://dx.doi.org/10.18619/2072-9146-2011-1-59-59.

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The ideas for plant sanitary diagnostic using modern computer technology and internet service were discussed in this article. Digital photos, multimedia resources and FAQ website can serve the agronomist with summarized information concerning plant protection and methods for damage prevention in the area of crop cultivation.

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8

Park, Bongsoo, Frank Martin, David M. Geiser, et al. "Phytophthora Database 2.0: Update and Future Direction." Phytopathology® 103, no. 12 (2013): 1204–8. http://dx.doi.org/10.1094/phyto-01-13-0023-r.

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The online community resource Phytophthora database (PD) was developed to support accurate and rapid identification of Phytophthora and to help characterize and catalog the diversity and evolutionary relationships within the genus. Since its release in 2008, the sequence database has grown to cover 1 to 12 loci for ≈2,600 isolates (representing 138 described and provisional species). Sequences of multiple mitochondrial loci were added to complement nuclear loci-based phylogenetic analyses and diagnostic tool development. Key characteristics of most newly described and provisional species have

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Withers, S., E. Gongora-Castillo, D. Gent, A. Thomas, P. S. Ojiambo, and L. M. Quesada-Ocampo. "Using Next-Generation Sequencing to Develop Molecular Diagnostics for Pseudoperonospora cubensis, the Cucurbit Downy Mildew Pathogen." Phytopathology® 106, no. 10 (2016): 1105–16. http://dx.doi.org/10.1094/phyto-10-15-0260-fi.

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Advances in next-generation sequencing (NGS) allow for rapid development of genomics resources needed to generate molecular diagnostics assays for infectious agents. NGS approaches are particularly helpful for organisms that cannot be cultured, such as the downy mildew pathogens, a group of biotrophic obligate oomycetes that infect crops of economic importance. Unlike most downy mildew pathogens that are highly host-specific, Pseudoperonospora cubensis causes disease on a broad range of crops belonging to the family Cucurbitaceae. In this study, we identified candidate diagnostic markers for P

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10

Edwards, Robert, and Nawaporn Onkokesung. "Resisting resistance: new applications for molecular diagnostics in crop protection." Biochemist 42, no. 4 (2020): 6–12. http://dx.doi.org/10.1042/bio20200040.

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While there is universal recognition of the dangers of antimicrobial resistance (AMR) to human health, far less attention has been directed towards the steady growth of resistance to the pesticides and herbicides that safeguard global food security. As a major constraint on crop productivity, weed competition causes greater losses than invertebrate pests and fungal pathogens combined, with the development of herbicide resistance now a primary agronomic threat to arable agriculture and horticulture. Here in the UK, our dominant crop, winter wheat, is now subject to annual losses of 1 million to

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11

Okot, Francis, Mark Laing, Hussein Shimelis, and Walter A. J. de Milliano. "Diagnostic Appraisal of the Sorghum Farming System and Breeding Priorities in Sierra Leone." Sustainability 14, no. 12 (2022): 7025. http://dx.doi.org/10.3390/su14127025.

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Understanding demographic structures, production constraints, and trait preferences is essential for setting up crop breeding goals and enhancing adoption strategies for new varieties. The objective of this study was to document the sorghum (Sorghum bicolor L. Moench) production constraints and preferred sorghum traits to guide breeding in Sierra Leone. A participatory rural appraisal was used to collect data from 210 farmers across seven districts in Sierra Leone in 2019. Results showed that all sorghum varieties in cultivation are landraces. Poor access to fertilizer (91%), lack of suitable

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Bleiholder, X. H. "Diagnosemethoden [diagnostic methods]." Crop Protection 5, no. 1 (1986): 78. http://dx.doi.org/10.1016/0261-2194(86)90042-6.

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Pošta, J., B. Kadleček, and T. Hladík. "Engine combustion chamber tightness diagnostics." Research in Agricultural Engineering 49, No. 3 (2012): 115–18. http://dx.doi.org/10.17221/4961-rae.

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The modern combustion engines and their systems are getting more complicated and sophisticated nowadays. It is no more possible to verify their function or actual technical state directly. Thus various methods of indirect diagnostics are being developed more and more rapidly. The on-board diagnostics is being increasingly applied to monitor and measure suitable diagnostic signals during operation, deviations from required or expected values are then recorded. This trend requires the application of completely disassembly-free techniques of measurements and the real-time analyzing of measured fi

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14

Sládková, J. "An analysis of the Rendzina issue in the valid Czech soil classification system." Soil and Water Research 4, No. 2 (2009): 66–83. http://dx.doi.org/10.17221/41/2008-swr.

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The article deals with the soil classification system valid in the Czech Republic. Using the soil type Rendzina from the former genetic-agronomic soil classification as an example, it analyses and revises the class definitions (soil types and subtypes), particularly their clarity, solidity, and mutual exclusivity based on the real state of diagnostic characteristics. The article advocates that the valid national soil classification system should be adequately detailed to satisfy practical needs and to preserve its convertibility into the international classification WRB system. At the same tim

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Dell’Olmo, Eliana, Antonio Tiberini, and Loredana Sigillo. "Leguminous Seedborne Pathogens: Seed Health and Sustainable Crop Management." Plants 12, no. 10 (2023): 2040. http://dx.doi.org/10.3390/plants12102040.

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Pulses have gained popularity over the past few decades due to their use as a source of protein in food and their favorable impact on soil fertility. Despite being essential to modern agriculture, these species face a number of challenges, such as agronomic crop management and threats from plant seed pathogens. This review’s goal is to gather information on the distribution, symptomatology, biology, and host range of seedborne pathogens. Important diagnostic techniques are also discussed as a part of a successful process of seed health certification. Additionally, strategies for sustainable co

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16

Mirmajlessi, Seyed Mahyar, Maria Jennifer Sjölund, Marika Mänd, et al. "PCR-based diagnostic methods for ‘Candidatus Liberibacter solanacearum’ – Review." Plant Protection Science 55, No. 4 (2019): 228–41. http://dx.doi.org/10.17221/145/2018-pps.

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‘Candidatus Liberibacter solanacearum’ is an economically important pathogen in the Americas, New Zealand and Europe. The primary objective of this review is to systematically investigate the polymerase chain reaction (PCR)-based methods used for its detection in plant samples. Several databases were searched from the inception of the relevant literature up to August 2018. This review identified 53 studies that met all the inclusion criteria. The performance of the different methods was also compared, however due to data heterogeneity and insufficient evidence on the sensitivity of all assays

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Soto-Espinoza, Yschel, Enrique Armando Gómez-Lozoya, and Liberio Victorino-Ramírez. "DISEÑO CURRICULAR BASADO EN COMPETENCIAS PARA LA CARRERA DE IAES EN LA UACh: UN ESTUDIO DIAGNOSTICO. CURRICULUM DESIGN BASED IN COMPETENCIES FOR THE IAES IN THE UACh: A DIAGNOSTIC STUDY." Revista Electrónica Calidad en la Educación Superior 5, no. 1 (2014): 1–16. http://dx.doi.org/10.22458/caes.v5i1.340.

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Ante las exigencias de la globalización del mercado laboral, del panorama social y de la economía mundial es que el enfoque basado en competencias se ha tornado obligado en los diferentes niveles educativos en México, convirtiéndose por ello en el cimiento de la reestructuración curricular de la carrera de Ingeniero Agrónomo Especialista en Suelos (IAES) en la Universidad Autónoma Chapingo (UACh) desde el Enfoque Socioformativo. A partir del estudio diagnóstico, en esta primera fase de la investigación se ha elaborado ya el Proyecto Educativo con los respectivos atributos que norma la UACh pau

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18

Srinivasan, R., N. Maddileti, and Thilagam V. Kasthuri. "Mapping Micronutrients status in KRP Dam Catchment of Tamil Nadu A Diagnostic Kit to Paddy Farmers." Trends In Agriculture Science 1, no. 2 (2022): 34–38. https://doi.org/10.5281/zenodo.6463663.

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Soil plays a significant role in determining the sustainable productivity of an agro ecosystem. It is one of the essential sources of micronutrients for plants. Out of the 16 essential nutrients, Zinc (Zn), Copper (Cu), Iodine (I), Manganese (Mn), Molybdenum (Mo), Boron (B) and Iron (Fe) are referred micronutrients. These micronutrients are required in small quantities but have agronomic importance as they play are vital in the growth and development of plants (Ye et al., 2015). Crop yield will be affected if any of these elements are lacking or excessive in the soil with other nutrients. Micr

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19

Fischer, Gerhard. "Editorial." Agronomía Colombiana 34, no. 2 (2016): 129–30. http://dx.doi.org/10.15446/agron.colomb.v34n2.61298.

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Agronomía Colombiana along with 500 Colombian magazines is taking part over the Colciencias announcement for the Specialized Colombian Scientific Journal Indexing – Publindex No. 768, which evaluates the quality of the national scientific magazines through different criteria, including editorial management, visibility and publications impact. This work seeks to increase the quality of the national scientific production and its insertion into the international scientific community. This call began with a primary diagnostic stage on August 16th, 2016 and will continue with the official classific

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20

Beverly, R. B., and W. B. Hallmark. "Prescient diagnostic analysis: A proposed new approach to evaluating plant nutrient diagnostic methods." Communications in Soil Science and Plant Analysis 23, no. 17-20 (1992): 2633–40. http://dx.doi.org/10.1080/00103629209368761.

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21

Yang, Guotang, Qi Zheng, Pan Hu, et al. "Cytogenetic identification and molecular marker development for the novel stripe rust-resistant wheat–Thinopyrum intermedium translocation line WTT11." aBIOTECH 2, no. 4 (2021): 343–56. http://dx.doi.org/10.1007/s42994-021-00060-3.

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AbstractStripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is one of the most destructive diseases of wheat (Triticum aestivum L.) worldwide. Xiaoyan 78829, a partial amphidiploid developed by crossing common wheat with Thinopyrum intermedium, is immune to wheat stripe rust. To transfer the resistance gene of this excellent germplasm resource to wheat, the translocation line WTT11 was produced by pollen irradiation and assessed for immunity to stripe rust races CYR32, CYR33 and CYR34. A novel stripe rust-resistance locus derived from Th. intermedium was confirmed by linkage and

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22

Pluenneke, Ricks H. "Diagnostic Techniques for Improving Crop Production." Crop Science 38, no. 4 (1998): 1115. http://dx.doi.org/10.2135/cropsci1998.0011183x003800040040x.

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23

Hofer, Katharina M., Merje Toome-Heller, and Brett J. R. Alexander. "Enhancing plant disease diagnostics in the Pacific." New Zealand Plant Protection 72 (July 28, 2019): 280. http://dx.doi.org/10.30843/nzpp.2019.72.321.

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A project aiming to enhance biosecurity and market access in the Pacific was launched by NZ Aid in 2016. The project intends to benefit the economies of New Zealand’s Pacific neighbours by improving their biosecurity systems which, in turn, would help to protect New Zealand’s borders. Under the current project, the MPI’s Plant Health and Environment Laboratory (PHEL) is accountable for delivering insect pest and disease diagnostic training in the Pacific and developing diagnostic tools. The PHEL Mycology and Bacteriology team has delivered a number of plant pathology training sessions in New Z

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Renfroe-Becton, Hope, Kendall R. Kirk, and Daniel J. Anco. "Using Image Analysis and Regression Modeling to Develop a Diagnostic Tool for Peanut Foliar Symptoms." Agronomy 12, no. 11 (2022): 2712. http://dx.doi.org/10.3390/agronomy12112712.

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Peanut foliar diseases and disorders can be difficult to rapidly diagnose with little experience because some abiotic and biotic symptoms present similar symptoms. Developing algorithms for automated identification of peanut foliar diseases and disorders could potentially provide a quick, affordable, and easy method for diagnosing peanut symptoms. To examine this, images of peanut leaves were captured from various angles, distances, and lighting conditions using various cameras. Color space data from all images was subsequently extracted and subjected to logistic regression. Separate algorithm

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25

Rahman, A., E. Góngora-Castillo, M. J. Bowman, et al. "Genome Sequencing and Transcriptome Analysis of the Hop Downy Mildew Pathogen Pseudoperonospora humuli Reveal Species-Specific Genes for Molecular Detection." Phytopathology® 109, no. 8 (2019): 1354–66. http://dx.doi.org/10.1094/phyto-11-18-0431-r.

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Pseudoperonospora humuli is an obligate oomycete pathogen of hop (Humulus lupulus) that causes downy mildew, an important disease in most production regions in the Northern Hemisphere. The pathogen can cause a systemic infection in hop, overwinter in the root system, and infect propagation material. Substantial yield loss may occur owing to P. humuli infection of strobiles (seed cones), shoots, and cone-bearing branches. Fungicide application and cultural practices are the primary methods to manage hop downy mildew. However, effective, sustainable, and cost-effective management of downy mildew

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Giordano, Paul R., Jie Wang, Joseph M. Vargas, Janette Jacobs, Martin I. Chilvers, and Quan Zeng. "Using a Genome-Based PCR Primer Prediction Pipeline to Develop Molecular Diagnostics for the Turfgrass Pathogen Acidovorax avenae." Plant Disease 102, no. 11 (2018): 2224–32. http://dx.doi.org/10.1094/pdis-01-18-0165-re.

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Acidovorax avenae is the causal agent of bacterial etiolation and decline (BED) of creeping bentgrass, a poorly understood and often misdiagnosed disease that can result in considerable aesthetic and functional damage to golf course putting greens. Current diagnostics of BED are based on laborious culture-based methods. In this work, we employed a novel alignment-free primer prediction pipeline to design diagnostic primers for turfgrass-pathogenic A. avenae using 15 draft genomes of closely related target and nontarget Acidovorax spp. as input. Twenty candidate primer sets specific to turfgras

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Brosnan, James T., Jose J. Vargas, Eric H. Reasor, Roberto Viggiani, Gregory K. Breeden, and John M. Zobel. "A Diagnostic Assay to Detect Herbicide Resistance in Annual Bluegrass (Poa annua)." Weed Technology 31, no. 4 (2017): 609–16. http://dx.doi.org/10.1017/wet.2017.26.

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Turfgrass managers currently have few readily available means of evaluating herbicide resistance in annual bluegrass during the growing season. Research was conducted to determine if agar-based diagnostic tests developed for agronomic weeds could be used to reliably confirm herbicide resistance in annual bluegrass harvested from golf course turf. Annual bluegrass phenotypes with target-site resistance to acetolactate synthase (ALS; R3, R7), enolpyruvylshikimate-3-phosphate synthase (EPSPS; R5), and photosystem II (PSII; R3, R4) inhibiting herbicides were included in experiments along with an h

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Terrazas Salas, Yolly, Eleuterio Crispin Flores, Gabriela Olivia Mamani Coria, and Luis Fernando Escoja Alejo. "Aplicación del Aprender Haciendo como Estrategia Metodológica a Estudiantes en la Asignatura de Pecuaria II." Revista de Ciencia, Tecnología e Innovación 21, no. 28 (2023): 95–102. http://dx.doi.org/10.56469/rcti.v21i28.805.

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El objetivo del presente artículo es determinar la efectividad de la estrategia metodológica del Aprender-Haciendo a estudiantes en la asignatura de pecuaria II de la Carrera de Agronomía Técnico Superior de San Francisco Xavier de Chuquisaca, cualificando el proceso de enseñanza y aprendizaje en los estudiantes. La metodología que se empleó fue una investigación de tipo básica y diseño pre - experimental – propositivo, realizando un diagnostico del proceso de enseñanza y aprendizaje con encuestas, a 47 estudiantes y 4 docentes afines a la materia. Los resultados muestran que desde la percepci

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Stack, J., K. Cardwell, R. Hammerschmidt, et al. "The National Plant Diagnostic Network." Plant Disease 90, no. 2 (2006): 128–36. http://dx.doi.org/10.1094/pd-90-0128.

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Nauen, R., and A. Elbert. "European monitoring of resistance to insecticides in Myzus persicae and Aphis gossypii (Hemiptera: Aphididae) with special reference to imidacloprid." Bulletin of Entomological Research 93, no. 1 (2003): 47–54. http://dx.doi.org/10.1079/ber2002215.

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AbstractThe susceptibility to several insecticides of 16 and 8 strains of Myzus persicae Sulzer and Aphis gossypii Glover, respectively, received from different European countries in 2001 was investigated. Most of the strains were derived from places known for their aphid resistance problems to conventional insecticides before imidacloprid was introduced. In many regions and agronomic cropping systems imidacloprid has been an essential part of aphid control strategies for a decade, and therefore the susceptibility of aphid populations to imidacloprid using FAO-dip tests and diagnostic concentr

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Mrs. Seema Khairna and Dr. Alok Kumar. "A Scalable and Interpretable Machine Learning Framework for Predictive Maintenance of Soil Sensors in Precision Farming Using Edge–Cloud Architecture." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 07 (2025): 3113–20. https://doi.org/10.47392/irjaeh.2025.0459.

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Precision agriculture and efficient environmental management depend on the dependability of sensor-based monitoring systems in soil and climatic applications. The upkeep and long-term dependability of the sensors producing this data have received little attention, despite the widespread use of machine learning (ML) for agronomic parameter estimation. A scalable and interpretable machine learning system for environmental sensor monitoring, diagnostics, and predictive maintenance is presented in this paper. The system can identify both sudden sensor failures and slow performance deterioration by

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IDRISSA GAYA, Yacouba, Amir SIDO YACOUBA, Yadji GUERO, and Sidikou Souleymane. "Caractérisation agronomique de la riziculture des bas fonds au Niger : cas du dallol Bosso." Journal of Applied Biosciences 182 (February 28, 2023): 19018–41. http://dx.doi.org/10.35759/jabs.182.4.

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RÉSUMÉ Objectif : L’objectif du présent article est de faire un diagnostic de la gestion paysanne de riz des bas-fonds du dallol Bosso afin de poser les bases solides pour améliorer sa productivité. Méthodologie et résultats : Pour atteindre cet objectif, la méthodologie adoptée est basée sur une enquête diagnostic conduite au niveau de 4 communes du département de Boboye. L’enquête a été conduite durant la saison des pluies (juin à septembre 2021) au niveau de sept (7) villages repartis entre quatre(4) communes. Au total un échantillon de soixante-dix (70) producteurs a été enquêté sur les pr

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Langlois, Paul A., Jacob Snelling, John P. Hamilton, et al. "Characterization of the Xanthomonas translucens Complex Using Draft Genomes, Comparative Genomics, Phylogenetic Analysis, and Diagnostic LAMP Assays." Phytopathology® 107, no. 5 (2017): 519–27. http://dx.doi.org/10.1094/phyto-08-16-0286-r.

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Prevalence of Xanthomonas translucens, which causes cereal leaf streak (CLS) in cereal crops and bacterial wilt in forage and turfgrass species, has increased in many regions in recent years. Because the pathogen is seedborne in economically important cereals, it is a concern for international and interstate germplasm exchange and, thus, reliable and robust protocols for its detection in seed are needed. However, historical confusion surrounding the taxonomy within the species has complicated the development of accurate and reliable diagnostic tools for X. translucens. Therefore, we sequenced

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Heller, Wade P., та Lisa M. Keith. "Real-Time PCR Assays to Detect and Distinguish the Rapid ʻŌhiʻa Death Pathogens Ceratocystis lukuohia and C. huliohia". Phytopathology® 108, № 12 (2018): 1395–401. http://dx.doi.org/10.1094/phyto-09-17-0311-r.

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Ceratocystis lukuohia and C. huliohia are recently described fungal species that cause rapid ‘ōhi‘a death (ROD) of Metrosideros polymorpha, Hawaii’s most abundant and ecologically important native species. Although the pathogens are now widespread on Hawaiʻi Island, a major effort is underway to study and manage affected forests, and particularly to prevent the disease from spreading to other islands in the State or throughout the Pacific. Rapid and accurate detection is critical. Molecular diagnostic real-time PCR protocols were developed to detect and distinguish the two pathogens, suitable

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Pagani, Agustín, and Hernán E. Echeverría. "Performance of Sulfur Diagnostic Methods for Corn." Agronomy Journal 103, no. 2 (2011): 413–21. http://dx.doi.org/10.2134/agronj2010.0265.

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van Raij, Bernardo. "New diagnostic techniques, universal soil extractants." Communications in Soil Science and Plant Analysis 25, no. 7-8 (1994): 799–816. http://dx.doi.org/10.1080/00103629409369081.

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Schepers, James S. "New diagnostic tools for tissue testing." Communications in Soil Science and Plant Analysis 25, no. 7-8 (1994): 817–26. http://dx.doi.org/10.1080/00103629409369082.

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Ascencio, Jocelyne. "Acid phosphatase as a diagnostic tool." Communications in Soil Science and Plant Analysis 25, no. 9-10 (1994): 1553–64. http://dx.doi.org/10.1080/00103629409369135.

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DeHaan, Toni-Lynn. "Seed potato certification and diagnostic testing." Canadian Journal of Plant Pathology 16, no. 2 (1994): 156–57. http://dx.doi.org/10.1080/07060669409500777.

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Stobbe, A. H., W. L. Schneider, P. R. Hoyt, and U. Melcher. "Screening Metagenomic Data for Viruses Using the E-Probe Diagnostic Nucleic Acid Assay." Phytopathology® 104, no. 10 (2014): 1125–29. http://dx.doi.org/10.1094/phyto-11-13-0310-r.

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Next generation sequencing (NGS) is not used commonly in diagnostics, in part due to the large amount of time and computational power needed to identify the taxonomic origin of each sequence in a NGS data set. By using the unassembled NGS data sets as the target for searches, pathogen-specific sequences, termed e-probes, could be used as queries to enable detection of specific viruses or organisms in plant sample metagenomes. This method, designated e-probe diagnostic nucleic acid assay, first tested with mock sequence databases, was tested with NGS data sets generated from plants infected wit

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Rincón-Flórez, Vivian A., Jane D. Ray, Lilia C. Carvalhais, et al. "Diagnostics of Banana Blood Disease." Plant Disease 106, no. 3 (2022): 947–59. http://dx.doi.org/10.1094/pdis-07-21-1436-re.

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Blood disease in bananas caused by Ralstonia syzygii subsp. celebesensis is a bacterial wilt disease that causes major yield losses of banana in Indonesia and peninsular Malaysia. The disease has significantly increased its geographic distribution in the past decade. Diagnostic methods are an important component of disease management in vegetatively propagated crops such as banana to constrain incursions of plant pathogens. Therefore, the objectives of this study were (i) to design and rigorously validate a novel banana Blood disease (BBD) real-time PCR assay with a high level of specificity a

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Hsieh, Ying-Hsin, Yun F. Wang, Hercules Moura, et al. "Application of MALDI-TOF MS Systems in the Rapid Identification of Campylobacter spp. of Public Health Importance." Journal of AOAC INTERNATIONAL 101, no. 3 (2018): 761–68. http://dx.doi.org/10.5740/jaoacint.17-0266.

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Abstract Campylobacteriosis is an infectious gastrointestinal disease caused by Campylobacter spp. In most cases, it is either underdiagnosed or underreported due to poor diagnostics and limited databases. Several DNA-based molecular diagnostic techniques, including 16S ribosomal RNA (rRNA) sequence typing, have been widely used in the species identification of Campylobacter. Nevertheless, these assays are time-consuming and require a high quality of bacterial DNA. Matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) MS is an emerging diagnostic technology that can provide

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Rafique, E., M. Mahmood-ul-Hassan, K. M. Khokhar, G. Nabi, and T. Tabassam. "Zinc Nutrition of Onion: Proposed Diagnostic Criteria." Journal of Plant Nutrition 31, no. 2 (2008): 307–16. http://dx.doi.org/10.1080/01904160701853902.

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Matula, J. "Relationship between phosphorus concentration in soil solution and phosphorus in shoots of barley." Plant, Soil and Environment 57, No. 7 (2011): 307–14. http://dx.doi.org/10.17221/149/2011-pse.

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Phosphorus concentration in the soil solution of agricultural soils should be a consensus of the agronomic and environmental aspect. Data from literary sources are inconsistent if the method of soil solution extraction from the soil and the method of phosphorus detection are not indicated. In the present paper a simplified procedure of soil solution extraction is used that is derived from the need of water to attain saturated soil paste. Based on barley cultivation in a plant growth chamber on 72 different soils the relationship between P concentration in simulated soil solution and the respon

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Mohit Arora, Abhishek Santra, Dharmendra Pathak, Dr Manoj Agrawal, Shivali Chopra, and Dr Harshita Vachhani. "Interpretable Deep Learning for Sustainable Agriculture: CNN and LIME-Based Plant Disease Diagnosis." International Journal of Environmental Sciences 11, no. 9s (2025): 1016–30. https://doi.org/10.64252/q5bc5x72.

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The manual inspection forms the bulk of conventional plant disease identification methods, but it is inefficient, unreliable, and time-consuming for large-scale agricultural farms. Though they are promising, numerous automated systems that are currently employed struggle to be applied in practice due to their transparent decision-making processes and low capacity to adapt to real-world field conditions. This research places emphasis on readability in predictions while developing a clear and reliable deep learning model to diagnose diseases among 38 plant species. The objective of the research

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Meyer, Donald L., Robert H. Hornbaker, and Michael A. Mazzocco. "Agricultural lenders' diagnostic system (ALDS)." Computers and Electronics in Agriculture 7, no. 1 (1992): 1–12. http://dx.doi.org/10.1016/s0168-1699(05)80003-1.

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Zhao, Weidong, Curtis H. Stumpf, Brian Bullard, Stephanie Kuzenko, and Gary D. Niehaus. "Crystal Diagnostics Xpress E7 STEC Kit for the Rapid Multiplex Detection of E. coli O157 and non-O157 Shiga toxin-producing E. coli." Journal of AOAC INTERNATIONAL 98, no. 6 (2015): 1549–58. http://dx.doi.org/10.5740/jaocint.15-055.

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Abstract The Crystal Diagnostics (CDx) Xpress E7 STEC kit is a rapid and sensitive detection assay for the detection of Escherichia coli O157 and six non-O157 Shiga toxin-producing E. coli (serogroups O26, O45, O1O3, O111, O121, and O145, collectively referred to as STEC) at 1 CFU/325 g of raw ground beef and raw beef trim, or 200 g of spinach. The system comprises an automatic Crystal Diagnostics Xpress System Reader that integrates immunochemical and optical processes for the liquid crystal-based detection of microorganisms, a CDx BioCassette that incorporates antibody-coupled microspheres a

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Ciprian, Stroia, Sarac Ioan, Irina Petrescu, Emilian Onisan, and Stroia Marius. "The Use of Grass Typology in Diagnosing and Sustainably Managing Permanent Grasslands." Sustainability 16, no. 15 (2024): 6309. http://dx.doi.org/10.3390/su16156309.

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Permanent grasslands are characterized by herbaceous flora adapted to local conditions, with deep root systems that facilitate resource uptake and provide resistance to anthropogenic and abiotic stresses. This study aimed to develop and implement efficient diagnostic and agronomic management tools for farmers. In order to demonstrate the methodology, we selected five diverse grasslands with different characteristics. The research tested the grass typology method to diagnose these areas and establish optimal management practices based on floristic composition. The method was applied to achieve

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Duffy, B. K. "A Semiselective and Diagnostic Medium forGaeumannomyces graminisvar.tritici." Phytopathology 84, no. 12 (1994): 1407. http://dx.doi.org/10.1094/phyto-84-1407.

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Massart, Sebastien, Michela Chiumenti, Kris De Jonghe, et al. "Virus Detection by High-Throughput Sequencing of Small RNAs: Large-Scale Performance Testing of Sequence Analysis Strategies." Phytopathology® 109, no. 3 (2019): 488–97. http://dx.doi.org/10.1094/phyto-02-18-0067-r.

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Recent developments in high-throughput sequencing (HTS), also called next-generation sequencing (NGS), technologies and bioinformatics have drastically changed research on viral pathogens and spurred growing interest in the field of virus diagnostics. However, the reliability of HTS-based virus detection protocols must be evaluated before adopting them for diagnostics. Many different bioinformatics algorithms aimed at detecting viruses in HTS data have been reported but little attention has been paid thus far to their sensitivity and reliability for diagnostic purposes. Therefore, we compared

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