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Journal articles on the topic 'Soybean disease'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Kleczewski, Nathan M. "Prevalence and Cropping System Impacts on Soybean Vein Necrosis Disease in Delaware Soybeans." Plant Health Progress 19, no. 1 (2018): 11–12. http://dx.doi.org/10.1094/php-09-17-0055-br.

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Soybean vein necrosis disease (SVN) is the most widespread virus of soybeans in the United States. This thrip-vetcored virus can cause foliar chlorosis and necrosis, and it can reduce soybean oil content, which may impact producers of high-oleic acid soybeans in the mid-Atlantic. The prevalence of SVN in Delaware is unknown. In addition, we hypothesized that cropping system (i.e., full-season versus double-cropped) beans may differ in SVN, likely owing to duration of exposure to viruliferous thrips. SVN incidence was assessed in 88 soybean fields (48 full season, 40 double crop following small

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Zatybekov, A. K., Y. T. Turuspekov, B. N. Doszhanova, and S. I. Abugalieva. "A study of the genetic diversity in the world soybean collection using microsatellite markers associated with fungal disease resistance." Proceedings on applied botany, genetics and breeding 181, no. 3 (2020): 81–90. http://dx.doi.org/10.30901/2227-8834-2020-3-81-90.

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Background. Soybean (Glycine max (L.) Merr.) gradually becomes one of the leading legume crops in Kazakhstan. The area under soybeans in the country has been increasing annually and requires the development of adapted cultivars with a higher yield, improved quality characters, and resistance to emerging fungal diseases. The enlargement of the crop’s gene pool also suggests the need to study and document local soybean accessions to meet the standards of the available world soybean collection by using reliable and informative types of DNA markers.Materials and methods. In this study, the soybean

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Abbas, Hamed K., Nacer Bellaloui, Cesare Accinelli, James R. Smith, and W. Thomas Shier. "Toxin Production in Soybean (Glycine max L.) Plants with Charcoal Rot Disease and by Macrophomina phaseolina, the Fungus that Causes the Disease." Toxins 11, no. 11 (2019): 645. http://dx.doi.org/10.3390/toxins11110645.

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Charcoal rot disease, caused by the fungus Macrophomina phaseolina, results in major economic losses in soybean production in southern USA. M. phaseolina has been proposed to use the toxin (-)-botryodiplodin in its root infection mechanism to create a necrotic zone in root tissue through which fungal hyphae can readily enter the plant. The majority (51.4%) of M. phaseolina isolates from plants with charcoal rot disease produced a wide range of (-)-botryodiplodin concentrations in a culture medium (0.14–6.11 µg/mL), 37.8% produced traces below the limit of quantification (0.01 µg/mL), and 10.8%

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Wrather, J. A., T. R. Anderson, D. M. Arsyad, et al. "Soybean Disease Loss Estimates for the Top 10 Soybean Producing Countries in 1994." Plant Disease 81, no. 1 (1997): 107–10. http://dx.doi.org/10.1094/pdis.1997.81.1.107.

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Soybean disease loss estimates were compiled for the 1994 harvested crop from the 10 countries with the greatest soybean production. The objective was to document the major soybean disease problems in these countries and any recent changes in the severity of individual soybean diseases. Total yield losses caused by Heterodera glycines in these 10 countries were greater than those caused by any other disease. Next in order of importance were stem canker, brown spot, and charcoal rot. The total yield loss due to disease during 1994 in these countries was 14.99 million metric tons, valued at $3.3

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Budi, Gayuh Prasetyo, and Teguh Pribadi. "Pengaruh Pemberian Agens Hayati Terhadap Intensitas Penyakit Karat Beberapa Varietas Kedelai Hitam." Daun: Jurnal Ilmiah Pertanian dan Kehutanan 7, no. 2 (2020): 117–25. http://dx.doi.org/10.33084/daun.v7i2.2011.

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Black soybean (G. max (L.) Merr.) is an important food crop and has a high nutritional content. Demand for this commodity is increasing. National soybean demand in 2015 about 2.6 million tons but domestic production only 982,967 tons. One of the obstacles to increasing black soybean production is Asian soybean rust disease caused by P. pachyrhizi. The susceptibility of black soybean to rust makes the farmers often use chemical fungicides to control it. Alternative control of rust leaves that suitable for the environment is through the selection of more resistant varieties of rust and the appli

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Sanogo, S., X. B. Yang, and P. Lundeen. "Field Response of Glyphosate-Tolerant Soybean to Herbicides and Sudden Death Syndrome." Plant Disease 85, no. 7 (2001): 773–79. http://dx.doi.org/10.1094/pdis.2001.85.7.773.

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Three-year field experiments were conducted to assess the development of sudden death syndrome (caused by Fusarium solani f. sp. glycines) in three soybean cultivars, tolerant (P9344 and A3071) and nontolerant (BSR101), to glyphosate following foliar application of four herbicides (acifluorfen, glyphosate, imazethapyr, and lactofen) commonly applied to soybeans in the north-central region of the United States. Cultivar A3071 is resistant to sudden death syndrome, whereas cultivars P9344 and BSR101 are susceptible to this disease. There was no statistically significant cultivar-herbicide intera

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Acharya, Jyotsna, Thomas B. Moorman, Thomas C. Kaspar, Andrew W. Lenssen, and Alison E. Robertson. "Cover Crop Rotation Effects on Growth and Development, Seedling Disease, and Yield of Corn and Soybean." Plant Disease 104, no. 3 (2020): 677–87. http://dx.doi.org/10.1094/pdis-09-19-1904-re.

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The effects of winter cover crops on root disease and growth of corn and soybeans are poorly understood. A 3-year field experiment investigated the effect of winter cereal rye (Secale cereale L.) and winter camelina (Camelina sativa [L.] Crantz), used either in all three years or in rotation with each other, on corn (Zea mays L.) and soybean (Glycine max. [L.] Merr.) growth, root disease, and yield. Corn following a cover crop of camelina had reduced root disease, a lower Pythium population in seedling roots, and greater growth and yields compared with corn following a rye cover crop. Camelina

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8

Jadhav, Sachin Balkrishna, and Sanjay B. Patil. "Grading of Soybean Leaf Disease Based on Segmented Image Using K-means Clustering." IAES International Journal of Artificial Intelligence (IJ-AI) 5, no. 1 (2016): 13. http://dx.doi.org/10.11591/ijai.v5.i1.pp13-21.

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Traditional method used for disease scoring scale to grade the plant diseases is mainly based on neckaed eye observation by agriculture expert or plant pathlogiest. In this method percentage scale was exclusively used to define different disease severities in an illustrated series of disease assessment keys for field crops.The assessment of plant leaf diseases using this aaproach which may be subjective, time consuming and cost effective.Also aacurate grading of leaf diseases is essential to the determination of pest control measures. In order to improve this process, here we propose a techniq

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Young, Heather M., James J. Marois, David L. Wright, Dario F. Narváez, and G. Kelly O'Brien. "Epidemiology of Soybean Rust in Soybean Sentinel Plots in Florida." Plant Disease 95, no. 6 (2011): 744–50. http://dx.doi.org/10.1094/pdis-07-10-0552.

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Since its discovery in the southeastern United States in 2004, soybean rust (SBR) has been variable from year to year. Caused by Phakopsora pachyrhizi, SBR epidemics in Florida are important to understand, as they may serve as an inoculum source for other areas of the country. This study examined the first disease detection date, incidence, and severity of SBR in relation to environmental data, growth stage, and maturity group (MG3, MG5, MG7) in soybean sentinel plots (225 m2) across north Florida from 2005 through 2008. The majority (91%) of the initial infections were observed in MG5 and MG7

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Wrather, Allen, and Steve Koenning. "Effects of Diseases on Soybean Yields in the United States 1996 to 2007." Plant Health Progress 10, no. 1 (2009): 24. http://dx.doi.org/10.1094/php-2009-0401-01-rs.

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Research must focus on management of diseases that cause extensive losses, especially when funds for research are limited. Knowledge of yield suppression caused by various soybean diseases is essential when prioritizing research. The objective of this project was to compile estimates of soybean yield suppression due to diseases in the USA from 1996 to 2007. The goal was to provide information to help funding agencies and scientists prioritize research objectives and budgets. Yield suppression due to individual diseases varied among years. Soybean cyst nematode suppressed USA soybean yield more

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Zou, Jianan, Dawei Xin, and Qingshan Chen. "Gmbak1 and gmfls2, two genes response to bacterials disease of soybean." E3S Web of Conferences 203 (2020): 02001. http://dx.doi.org/10.1051/e3sconf/202020302001.

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Soybean bacterial disease is a worldwide disease that can cause yield and quality decline. Although the recognition of soybean bacterial diseases has been reported in detail, but for the identification of resistant and susceptible cultivars, different researchers have different methods and standards. To detect the pathogenic effect of bacterial diseases, we first separated bacterial strains from soybean field. Finally, eight strains of soybean bacterial diseases were isolated and identified. By the screening the sequence of the bacterial 16S rDNA, seven of eight strains were identified belong

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Jadhav, Sachin B. "Convolutional Neural Networks for Leaf Image-Based Plant Disease Classification." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 4 (2019): 328. http://dx.doi.org/10.11591/ijai.v8.i4.pp328-341.

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<span lang="EN-US">Plant pathologists desire soft computing technology for accurate and reliable diagnosis of plant diseases. In this study, we propose an efficient soybean disease identification method based on a transfer learning approach by using a pre-trained convolutional neural network (CNN’s) such as AlexNet, GoogleNet, VGG16, ResNet101, and DensNet201. The proposed convolutional neural networks were trained using 1200 plant village image dataset of diseased and healthy soybean leaves, to identify three soybean diseases out of healthy leaves. Pre-trained CNN used to enable a fast

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Jiang, Chang-Jie, Shoji Sugano, Sunao Ochi, Akito Kaga, and Masao Ishimoto. "Evaluation of Glycine max and Glycine soja for Resistance to Calonectria ilicicola." Agronomy 10, no. 6 (2020): 887. http://dx.doi.org/10.3390/agronomy10060887.

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Breeding for resistance to soybean red crown rot (Calonectria ilicicola) has long been hampered by the lack of genetic sources of adequate levels of resistance to use as parents. Mini core collections of soybean (Glycine max) originating from Japan (79 accessions), from around the world (80 accessions), and a collection of wild soybeans (Glycine soja) consisting 54 accessions were evaluated for resistance to C. ilicicola (isolate UH2-1). In the first two sets, average disease severity scores of 4.2 ± 0.28 and 4.6 ± 0.31 on a rating scale from zero for no symptom to 5.0 for seedling death were

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Pospielova, G. D., N. P. Kovalenko, N. I. Nechyporenko, and V. Ya Kocherga. "Influence of agro-climatic factors on the development of common soybean diseases." UKRAINIAN BLACK SEA REGION AGRARIAN SCIENCE 107, no. 3 (2020): 45–53. http://dx.doi.org/10.31521/2313-092x/2020-3(107)-6.

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Influence of agro-climatic factors on the development of common soybean diseases The article presents the results of the study of the influence of agro-climatic factors on the development of major soybean diseases (varieties Anthracite, Sprytna and Perlyna) during 2016-2019 in terms of commercial crops. The dominance of the pathogens Alternaria, Fusarium, Septoria and bacterial burns among the crops was determined. The connection between the development and spread of soybean diseases and hydrothermal environmental conditions was studied. Keywords: soybean, alternariosis, septoria, fusarium wil

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Naveesh, Y. B., H. A. Prameela, S. Basavaraj, and K. T. Rangaswamy. "Screening of Soybean Genotypes to Soybean Yellow Mosaic Virus Disease." International Journal of Current Microbiology and Applied Sciences 9, no. 3 (2020): 2070–76. http://dx.doi.org/10.20546/ijcmas.2020.903.237.

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Polakitan, August, and Conny N Manoppo. "Study on Adaptation of Soybean under The Coconut." E3S Web of Conferences 232 (2021): 01031. http://dx.doi.org/10.1051/e3sconf/202123201031.

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Problem is that the sunlight passing through the coconut canopy is limited for photosynthesis. The purpose of this study was to measure the performance of the Anjasmoro variety technology package among coconuts. This research was conducted in North Minahasa in 2018. Field trials to test soybeans under the shade of coconut and without shade. Each treatment was repeated at 15 blocks. Technology Package The technology tested included soybean seeds planted at 15 x 40cm spacing. Basic fertilization is applied 50 kg urea, 75 kg SP36 and 150 KCL / ha. Pest or disease control follows the concept of in

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Blum, Luiz E. B., and Rodrígo Rodríguez-Kábana. "Dried powders of velvetbean and pine bark added to soil reduce Rhizoctonia solani-induced disease on soybean." Fitopatologia Brasileira 31, no. 3 (2006): 261–69. http://dx.doi.org/10.1590/s0100-41582006000300004.

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Diseases induced by Rhizoctonia solani, like damping-off and root and stem rot on soybean (Glycine max), are a serious problem around the world. The addition of some organic material to soil is an alternative control for these diseases. In this study, benzaldehyde and dried powders of kudzu (Pueraria lobata), velvetbean or mucuna (Mucuna deeringiana), and pine bark (Pinus spp.) were used in an attempt to improve soybean plant growth and to reduce the disease R. solani (AG-4) causes on soybean. Benzaldehyde (0.1-0.4 mL/kg of soil) and velvetbean (25-100 g/kg) significantly (P < 0.05) reduced

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Chang, Hao-Xun, Alexander E. Lipka, Leslie L. Domier, and Glen L. Hartman. "Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies." Phytopathology® 106, no. 10 (2016): 1139–51. http://dx.doi.org/10.1094/phyto-01-16-0042-fi.

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Genetic resistance is a key strategy for disease management in soybean. Over the last 50 years, soybean germplasm has been phenotyped for resistance to many pathogens, resulting in the development of disease-resistant elite breeding lines and commercial cultivars. While biparental linkage mapping has been used to identify disease resistance loci, genome-wide association studies (GWAS) using high-density and high-quality markers such as single nucleotide polymorphisms (SNPs) has become a powerful tool to associate molecular markers and phenotypes. The objective of our study was to provide a com

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Jadhav, Sachin B., Vishwanath R. Udup, and Sanjay B. Patil. "Soybean leaf disease detection and severity measurement using multiclass SVM and KNN classifier." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4077. http://dx.doi.org/10.11591/ijece.v9i5.pp4077-4091.

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Soybean fungal diseases such as Blight, Frogeye leaf spot and Brown Spot are a significant threat to soybean plant due to the severe symptoms and lack of treatments. Traditional diagnosis of the thease diseases relies on disease symptom identification based on neaked eye observation by pathalogiest, which can lead to a high rate of false-recognition. This work present a novel system, utilizing multiclass support vector machine and KNN classifiers, for detection and classification of soybean diseases using color images of diseased leaf samples. Images of healthy and diseased leaves affected by

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Gao, X., T. A. Jackson, G. L. Hartman, and T. L. Niblack. "Interactions Between the Soybean Cyst Nematode and Fusarium solani f. sp. glycines Based on Greenhouse Factorial Experiments." Phytopathology® 96, no. 12 (2006): 1409–15. http://dx.doi.org/10.1094/phyto-96-1409.

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The soybean cyst nematode, Heterodera glycines, and the fungus that causes sudden death syndrome (SDS) of soybean, Fusarium solani f. sp. glycines, frequently co-infest soybean (Glycine max) fields. The interactions between H. glycines and F. solani f. sp. glycines were investigated in factorial greenhouse experiments with different inoculum levels of both organisms on a soybean cultivar susceptible to both pathogens. Measured responses included root and shoot dry weights, H. glycines reproduction, area under the SDS disease progress curve, and fungal colonization of roots. Both H. glycines an

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Zhang, B. Q., and X. B. Yang. "Pathogenicity of Pythium Populations from Corn-Soybean Rotation Fields." Plant Disease 84, no. 1 (2000): 94–99. http://dx.doi.org/10.1094/pdis.2000.84.1.94.

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Corn and soybean have been rotated for decades in the north central regions of the United States, but it is unknown how the use of long-term rotation affects the population of soilborne fungi pathogenic to both crops. Pythium populations were obtained from 73 commercial corn-soybean rotation fields in Iowa from 1993 to 1995. A total of 163 Pythium isolates were obtained from soil, diseased soybean seedlings, or diseased corn seedlings, and these isolates were pooled into six populations according to the source of samples. The isolates were evaluated for their aggressiveness on corn and soybean

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Bozzola, John J., John Yopp, M. R. S. Krishnamani, John Richardsonv, and Brian Klubek. "Ultrastructure of sudden death syndrome, a new disease in soybeans." Proceedings, annual meeting, Electron Microscopy Society of America 44 (August 1986): 286–87. http://dx.doi.org/10.1017/s0424820100143055.

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Sudden Death Syndrome (SDS), a potentially devastating disease of soybeans, was first recognized in Arkansas in the 1970's. Diseased plants first show small interveinal chlorotic spots that progress to brown, necrotic blotches within five to ten days. Tissues around the major veins remain dark green until the late stages when leaf abscission, vascular discoloration and seed pod abortion occur. The disease is most severe during the later reproductive stages of the soybean plant and following a climatic sequence of warm, dry weather followed by a sudden cold, wet period. No organisms have conclu

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TARAKANOV, R. I., A. N. IGNATOV, and F. S. DZHALILOV. "ISOLATION OF SPECIFIC BACTERIOPHAGES - PSEUDOMONAS SAVASTANOI PV. GLYCINEA - AND THEIR USE IN SOYBEAN BACTERIAL BLIGHT CONTROL." Izvestiâ Timirâzevskoj selʹskohozâjstvennoj akademii, no. 4 (2020): 43–53. http://dx.doi.org/10.26897/0021-342x-2020-4-43-53.

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Bacterial blight is one of most harmful diseases of legumes, reducing the profitability of soybean production in Russian Federation. Among a number of Pseudomonas isolates obtained from diseased seeds and plants of soybean, 4 strains were selected and confirmed as Pseudomonas savastanoipv. glycinea (Psg). Properties of the isolated bacteria were similar to type strain of Psg CFBP 2214 in plant virulence, LOPAT tests, and PCR analysis for coronafacate ligase gene, and partly – in the phage reaction profile. Four isolates of bacteriophages specific to Psg were obtained from soil samples taken fr

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Conner, Kassie, Edward J. Sikora, Lee Zhang, and Charles Burmester. "First Report of Soybean vein necrosis-associated virus Affecting Soybeans in Alabama." Plant Health Progress 14, no. 1 (2013): 49. http://dx.doi.org/10.1094/php-2013-0729-03-br.

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Soybean vein necrosis-associated virus (SVNaV) is a relatively new disease of soybeans in the United States. This is the first report of SVNaV in Alabama. The disease was confirmed to be SVNaV by ELISA and sequencing virus specific PCR products. Confirmation of the disease in Alabama is an important step in developing management recommendations for growers. Accepted for publication 10 May 2013. Published 29 July 2013.

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Allen, Tom W., Carl A. Bradley, Adam J. Sisson, et al. "Soybean Yield Loss Estimates Due to Diseases in the United States and Ontario, Canada, from 2010 to 2014." Plant Health Progress 18, no. 1 (2017): 19–27. http://dx.doi.org/10.1094/php-rs-16-0066.

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Annual decreases in soybean (Glycine max L. Merrill) yield caused by diseases were estimated by surveying university-affiliated plant pathologists in 28 soybean-producing states in the United States and in Ontario, Canada, from 2010 through 2014. Estimated yield losses from each disease varied greatly by state or province and year. Over the duration of this survey, soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) was estimated to have caused more than twice as much yield loss than any other disease. Seedling diseases (caused by various pathogens), charcoal rot (caused by Macrophomina

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Ward, N. A., R. W. Schneider, and C. L. Robertson. "Documentation of an Extended Latent Infection Period by Phakopsora pachyrhizi, the Soybean Rust Pathogen." Plant Health Progress 13, no. 1 (2012): 22. http://dx.doi.org/10.1094/php-2012-0321-01-rs.

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Phakopsora pachyrhizi, the soybean rust pathogen, overwinters on kudzu in the southern United States. However, even with severely affected kudzu adjacent to soybean fields, disease symptoms do not occur on soybeans until plants are in mid-reproductive stages of growth during mid to late summer. These observations suggested that soybeans are exposed to airborne inoculum of the pathogen long before symptoms occur, and we hypothesized that these plants may be latently infected. This hypothesis was confirmed by using quantitative real-time PCR (qPCR) to detect the rust pathogen in soybean leaves 1

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Sikora, Edward J., John F. Murphy, and Kassie N. Conner. "Monitoring Bean pod mottle virus and Soybean mosaic virus Incidence at Different Soybean Growth Stages in Alabama." Plant Health Progress 18, no. 3 (2017): 166. http://dx.doi.org/10.1094/php-03-17-0012-br.

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This study focuses on Bean pod mottle virus (BPMV) and Soybean mosaic virus (SMV) incidence over time relative to stages of plant growth in selected fields in Alabama. Five commercial soybean fields in west-central Alabama were surveyed for BPMV and SMV in 2010-2012 and 2014. Incidence of BPMV was typically highest at crop maturity. Incidence of 10% or higher was recorded at full bloom in at least one field in each year of the study, but incidence did not exceed 23% at bloom in any field with one exception. SMV was not detected at high levels during this study and incidence above 10% at full b

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Sudaric, Aleksandra, Marija Vrataric, Snezana Mladenovic-Drinic, and Maja Matosa. "Biotechnology in soybean breeding." Genetika 42, no. 1 (2010): 91–102. http://dx.doi.org/10.2298/gensr1001091s.

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Biotechnology can be defined broadly as a set of tools that allows scientists to genetically characterize or improve living organisms. Several emerging technologies, such as molecular characterization and genetic transformation, are already being used extensively for the purpose of plant improvement. Other emerging sciences, including genomics and proteomics, are also starting to impact plant improvement. Tools provided by biotechnology will not replace classical breeding methods, but rather will help provide new discoveries and contribute to improved nutritional value and yield enhancement th

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Lakhssassi, Naoufal, Zhou Zhou, Mallory A. Cullen, et al. "TILLING-by-Sequencing+ to Decipher Oil Biosynthesis Pathway in Soybeans: A New and Effective Platform for High-Throughput Gene Functional Analysis." International Journal of Molecular Sciences 22, no. 8 (2021): 4219. http://dx.doi.org/10.3390/ijms22084219.

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Reverse genetic approaches have been widely applied to study gene function in crop species; however, these techniques, including gel-based TILLING, present low efficiency to characterize genes in soybeans due to genome complexity, gene duplication, and the presence of multiple gene family members that share high homology in their DNA sequence. Chemical mutagenesis emerges as a genetically modified-free strategy to produce large-scale soybean mutants for economically important traits improvement. The current study uses an optimized high-throughput TILLING by target capture sequencing technology

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Heitkamp, Erik C., Robin S. Lamppa, Patricia A. Lambrecht, Robert M. Harveson, Febina M. Mathew, and Samuel G. Markell. "First Report of Bacterial Pustule on Soybeans in North Dakota." Plant Health Progress 15, no. 4 (2014): 155–56. http://dx.doi.org/10.1094/php-br-14-0007.

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Bacterial pustule has not been previously reported on soybeans in North Dakota, and is unlikely to pose a direct yield threat to soybeans in North Dakota. However, the disease can be mistaken for Asian soybean rust, leading to unnecessary fungicide application and economic loss to the grower. Accepted 3 September 2014. Published 13 October 2014.

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Nouri, Fatemeh, Fahimeh Haghighatdoost, Noushin Mohammadifard, et al. "The longitudinal association between soybean and non-soybean legumes intakes and risk of cardiovascular disease: Isfahan cohort study." British Food Journal 123, no. 8 (2021): 2864–79. http://dx.doi.org/10.1108/bfj-08-2020-0699.

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PurposeThe associations between legume consumption and cardiovascular events (CVEs) have extensively been studied. However, there are few studies that considered longitudinal association between legume consumption (with repeated measurements across time) and CVEs in low-income countries where legume consumption is lower than the Western countries. The authors aimed to investigate the long-term longitudinal relationship between soybean, non-soybean and overall legume consumption and CVEs using repeated measures of legumes and time-varying confounders in a cohort study of the general population.

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Watson, S. R., L. J. Giesler, A. D. Ziems, and T. E. Brovont. "First Report of Soybean Rust Caused by Phakopsora pachyrhizi in Nebraska." Plant Disease 92, no. 11 (2008): 1588. http://dx.doi.org/10.1094/pdis-92-11-1588c.

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Soybean rust caused by Phakopsora pachyrhizi Sydow was first observed in the continental United States in Louisiana in November 2004 (2). As part of the national soybean rust monitoring effort, samples were collected on 3 October 2007 during the scouting of fields with green leaves in southeastern Nebraska. After incubation at room temperature for 24 h, uredinea and urediniospores were observed with microscopic examination. Urediniospores were obovoid, hyaline to pale brown, and measured 20 to 30 × 18 to 20 μm. The observed morphology was typical of P. pachyrhizi (1). In addition to microscopi

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Sousa, Marcella Viana de, Carolina da Silva Siqueira, and José da Cruz Machado. "Conventional PCR for detection of Corynespora cassiicola in soybean seeds." Journal of Seed Science 38, no. 2 (2016): 85–91. http://dx.doi.org/10.1590/2317-1545v38n2152049.

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Abstract The fungus Corynespora cassiicola, causal agent of target spot in soybeans, can be transmitted by soybean seeds and as of that point cause severe damage. This disease may be diagnosed at an early stage by seed testing, but knowledge in this area is insufficient. Because of that and increased attack by the disease in soybean areas in Brazil, further studies are required. The aim of this study was to evaluate the use of conventional PCR in detecting C. cassiicola in soybean seeds. The GA4-F/GA4-R primers described in the literature were tested for their specificity and sensitivity for d

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Bajwa, Sreekala, John Rupe, and Johnny Mason. "Soybean Disease Monitoring with Leaf Reflectance." Remote Sensing 9, no. 2 (2017): 127. http://dx.doi.org/10.3390/rs9020127.

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Praful Kumar, H. V. Nandakishor, and S. S. Mane. "Symptomatology Studies of Soybean Mosaic Disease." International Journal of Current Microbiology and Applied Sciences 6, no. 4 (2017): 870–75. http://dx.doi.org/10.20546/ijcmas.2017.604.109.

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Eathington, S. R. "Disease Pressure on Soybean in Illinois." Plant Disease 77, no. 11 (1993): 1136. http://dx.doi.org/10.1094/pd-77-1136.

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Clarkson, Thomas B., Mary S. Anthony, and Claude L. Hughes. "Estrogenic soybean isoflavones and chronic disease." Trends in Endocrinology & Metabolism 6, no. 1 (1995): 11–16. http://dx.doi.org/10.1016/1043-2760(94)00087-k.

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Pires, Rillian Diello Lucas, Diogo Nunes Gonçalves, Jonatan Patrick Margarido Oruê, et al. "Local descriptors for soybean disease recognition." Computers and Electronics in Agriculture 125 (July 2016): 48–55. http://dx.doi.org/10.1016/j.compag.2016.04.032.

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Rehman, Fazal Ur, Maria Kalsoom, Muhammad Adnan, et al. "Soybean mosaic disease (SMD): a review." Egyptian Journal of Basic and Applied Sciences 8, no. 1 (2021): 12–16. http://dx.doi.org/10.1080/2314808x.2021.1881245.

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Suminar, Erni, Wieny Marma Jaya, Rani Andriani Budi Kusumo, and Syariful Mubarok. "Pemberdayaan Wanita Tani dalam Budidaya Kedelai Varietas Unggul Bahan Baku Pembuatan Tahu." Jurnal Pengabdian Pada Masyarakat 3, no. 1 (2018): 73–84. http://dx.doi.org/10.30653/002.201831.46.

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WOMEN FARMERS EMPOWERMENT IN SOYBEAN CULTIVATION OF SUPERIOR VARIETIES RAW MATERIAL OF TOFU PRODUCTION. Soybean is one of the important crops containing high protein content. The demand of soybean increases from year to year, because the domestic production could not reach the market demand and it is still imported. Therefore, the necessary effort to increase soybean production must be done such as by expanding the planting area, planting superior varieties especially for raw materials of tofu, and the cultivation techniques. Sumedang is one of the centers of tofu production in West Java that

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Lee, Chad D., Karen A. Renner, Donald Penner, Ray Hammerschmidt, and James D. Kelly. "Glyphosate-Resistant Soybean Management System Effect on Sclerotinia Stem Rot." Weed Technology 19, no. 3 (2005): 580–88. http://dx.doi.org/10.1614/wt-04-120r2.1.

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The impact of the management variables soybean cultivar, row spacing, population density, and shading was evaluated on the incidence of Sclerotinia stem rot (SSR) on glyphosate-resistant soybeans in an irrigated glyphosate-resistant soybean management system. Soybean canopy development, flower number, soil moisture, disease severity, and soybean yield were evaluated on three glyphosate-resistant cultivars, Pioneer ‘92B71’ (upright), Asgrow ‘AG2701’ (bushy), and Asgrow ‘AG2702’ (bushy). Three different row spacing–target population combinations of 76 cm, 430,000 seeds/ha; 19 cm, 430,000 seeds/h

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Yang, X. B., P. Lundeen, and M. D. Uphoff. "Soybean Varietal Response and Yield Loss Caused by Sclerotinia sclerotiorum." Plant Disease 83, no. 5 (1999): 456–61. http://dx.doi.org/10.1094/pdis.1999.83.5.456.

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Soybean Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, has recently emerged from being a minor problem in areas where soybeans of maturity groups 0 to I are grown to a significant cause of soybean yield losses in the north-central region, which produces 80% of soybean in the United States. Studies were conducted in Iowa to quantify varietal response to S. sclerotiorum for cultivars of maturity groups I to III in fields that had uniform infestation histories. Over the course of the study, disease incidence was generally high at the northern Iowa sites but low in central Iowa, with di

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Li, X., and X. B. Yang. "Similarity, Pattern, and Grouping of Soybean Fungal Diseases in the United States: Implications for the Risk of Soybean Rust." Plant Disease 93, no. 2 (2009): 162–69. http://dx.doi.org/10.1094/pdis-93-2-0162.

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Ten biological or ecological characteristics of pathogens/diseases were used to quantitatively describe 34 soybean (Glycine max) fungal diseases in the United States. These characteristics included optimal temperatures for disease development, host ranges, characteristics of disease cycle, and the pathogens' survival capacity. Gower's general similarity coefficients for pairs of diseases were determined and used in principal coordinate analysis (PCoA) to project the diseases into a two-dimensional space, in which significant patterns were identified for some of the characteristic variables, e.

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Cruz, David R., Leonor F. S. Leandro, and Gary P. Munkvold. "Effects of Temperature and pH on Fusarium oxysporum and Soybean Seedling Disease." Plant Disease 103, no. 12 (2019): 3234–43. http://dx.doi.org/10.1094/pdis-11-18-1952-re.

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Fusarium oxysporum (Fo) is an important pathogen that reduces soybean yield by causing seedling disease and root rot. This study assessed the effects of pH and temperature on Fo fungal growth and seedling disease. In an in vitro assay, 14 Fo isolates collected from symptomatic soybean roots across Iowa in 2007 were grown on artificial culture media at five pH levels (4, 5, 6, 7, and 8) and incubated at four temperatures (15, 20, 25, or 30°C). In a rolled-towel assay, soybean seeds from Fo-susceptible cultivar Jack were inoculated with a suspension of a pathogenic or a nonpathogenic Fo isolate;

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Nachilima, Christabell, Godfree Chigeza, Mwila Chibanda, et al. "Evaluation of Foliar Diseases for Soybean Entries in the Pan-African Trials in Malawi and Zambia." Plant Disease 104, no. 8 (2020): 2068–73. http://dx.doi.org/10.1094/pdis-12-19-2617-sr.

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Soybean production has expanded worldwide including countries in sub-Saharan Africa. Several national and international agencies and research groups have partnered to improve overall performance of soybean breeding stocks and have introduced new germplasm from Brazil and the United States with the goal of developing new high-yielding cultivars. Part of this effort has been to test improved soybean lines/cultivars accumulated from private and public sources in multilocational trials in sub-Saharan Africa. These trials are known as the Pan-African Soybean Variety Trials, and the entries come fro

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Lemes, E. M., C. L. Mackowiak, A. Blount, et al. "Effects of Silicon Applications on Soybean Rust Development Under Greenhouse and Field Conditions." Plant Disease 95, no. 3 (2011): 317–24. http://dx.doi.org/10.1094/pdis-07-10-0500.

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Soybean rust (SBR), caused by Phakopsora pachyrhizi, is one of the most destructive fungal diseases affecting soybean production. Silicon (Si) amendments were studied as an alternative strategy to control SBR because this element was reported to suppress a number of plant diseases in other host–pathogen systems. In greenhouse experiments, soybean cultivars inoculated with P. pachyrhizi received soil applications of wollastonite (CaSiO3) (Si at 0, 0.96, and 1.92 t ha–1) or foliar applications of potassium silicate (K2SiO3) (Si at 0, 500, 1,000, or 2,000 mg kg–1). Greenhouse experiment results d

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Lee, Su-Heon, and Chang-Suk Kim. "Natural Hosts and Disease Cycle of Soybean yellow mottle mosaic virus." Research in Plant Disease 19, no. 4 (2013): 281–87. http://dx.doi.org/10.5423/rpd.2013.19.4.281.

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Pedersen, Palle, Craig Grau, Eileen Cullen, Nancy Koval, and John H. Hill. "Potential for Integrated Management of Soybean Virus Disease." Plant Disease 91, no. 10 (2007): 1255–59. http://dx.doi.org/10.1094/pdis-91-10-1255.

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The recent introduction of the colonizing soybean aphid (Aphis glycines) to soybean in the northern United States has raised concern for potential increased disease caused by the nonpersistently aphid-transmitted Soybean mosaic virus (SMV). This study was conducted to examine the potential integration of host plant resistance and insecticide tactics for control of virus disease. Research from four location-years demonstrated that foliar application of the pyrethroid insecticide lambda-cyhalothrin (Warrior) or the organophosphate chlorpyrifos (Lorsban 4E) timed to suppress soybean aphid populat

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Singh Rajput, Arpan, Shailja Shukla, and S. S. Thakur. "SOYBEAN LEAF DISEASES DETECTION AND CLASSIFICATION USING RECENT IMAGE PROCESSING TECHNIQUES." International Journal of Students' Research in Technology & Management 8, no. 3 (2020): 01–08. http://dx.doi.org/10.18510/ijsrtm.2020.831.

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Purpose: India is an agricultural country and soybean production is one of the major sources of earning. Due to the major factors like diseases, pest attacks, and sudden changes in the weather condition, the productivity of the soybean crop decreases. Automatic detection of soybean plant diseases is essential to detect the symptoms of soybean diseases as early as they appear on the growing stage. This paper proposed a methodology for the analysis and detection of soybean plant leaf diseases using recent digital image processing techniques. In this paper, experimental results demonstrate that t

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Raza, Muhammad M., Chris Harding, Matt Liebman, and Leonor F. Leandro. "Exploring the Potential of High-Resolution Satellite Imagery for the Detection of Soybean Sudden Death Syndrome." Remote Sensing 12, no. 7 (2020): 1213. http://dx.doi.org/10.3390/rs12071213.

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Sudden death syndrome (SDS) is one of the major yield-limiting soybean diseases in the Midwestern United States. Effective management for SDS requires accurate detection in soybean fields. Since traditional scouting methods are time-consuming, labor-intensive, and often destructive, alternative methods to monitor SDS in large soybean fields are needed. This study explores the potential of using high-resolution (3 m) PlanetScope satellite imagery for detection of SDS using the random forest classification algorithm. Image data from blue, green, red, and near-infrared (NIR) spectral bands, the c

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