scholarly journals First Insights Into the Virus and Viroid Communities in Hemp (Cannabis sativa)

2021 ◽  
Vol 3 ◽  
Author(s):  
Judith Chiginsky ◽  
Kaitlyn Langemeier ◽  
Jacob MacWilliams ◽  
Tessa Albrecht ◽  
Whitney Cranshaw ◽  
...  
Keyword(s):  
Crop Production ◽  
Cannabis Sativa ◽  
Management Strategies ◽  
Distinct Group ◽  
Tobacco Streak Virus ◽  
High Nucleotide Sequence Identity ◽  
Streak Virus ◽  
New Genotype ◽  
Different Strains ◽  
Next Generation Sequencing Ngs

Hemp (Cannabis sativa L.) production has increased significantly in recent years; however, the crop has been understudied in the U.S. since its production declined in the late 1950s. Disease identification and management is an increasing challenge for hemp growers across the country. In 2019, beet curly top virus (BCTV) was first reported in hemp in Colorado. Hence, we were motivated to understand the diversity and prevalence of BCTV strains infecting hemp in Colorado. We detected BCTV at high incidence rate (81%) in leaf samples from 12 counties. Two different strains of BCTV, Worland (Wor) and Colorado (CO) were present as a single or mixed infection in hemp leaf samples. Phylogenetic analysis revealed BCTV sequences from hemp formed a distinct group along with BCTV strains CO and Wor. To determine other potential viral and viroid pathogens in hemp, we performed next generation sequencing (NGS). Virome analysis revealed the presence of both virus and viroid sequences that had high nucleotide sequence identity with GenBank accessions for cannabis cryptic virus, cannabis sativa mitovirus, citrus yellow vein associated virus, opuntia-like virus and hop latent viroid. In contrast, tobacco streak virus sequences were highly variable compared to sequences in GenBank suggesting a possible new genotype of this virus. The data presented here has important implications for the epidemiology and management of the various diseases of hemp and will lead to the development of integrated pest management strategies designed to interrupt transmission cycles and facilitate efficient crop production.

scholarly journals Sensitive and specific qPCR and nested RT-PCR assays for the detection of Tobacco streak virus in soybean

2021 ◽  
Author(s):  
Cristina Zambrana-Echevarria ◽  
Mitchell Roth ◽  
Ranjit Dasgupta ◽  
Thomas German ◽  
Carol Groves ◽  
...  
Keyword(s):  
Limit Of Detection ◽  
Management Strategies ◽  
Absolute Quantification ◽  
Qpcr Assay ◽  
Diagnostic Tools ◽  
Tobacco Streak Virus ◽  
Streak Virus ◽  
Rt Pcr ◽  
Pcr Assay ◽  
Research Fields

Tobacco streak virus (TSV) is a re-emerging and understudied pathogen of soybean (Glycine max). Management of TSV is challenging due to the multiple modes of transmission, widespread susceptibility of commercial soybean, and lack of reliable diagnostic tests for the virus. Soybean plants with TSV-like, virus-like, or no symptoms were collected from commercial and research fields in seven counties in Wisconsin. Two sensitive assays were developed for the detection of TSV: a fluorescent dye-based quantitative RT-PCR (qPCR) assay and a nested RT-PCR (nRT-PCR). Tobacco streak virus was detected in 47% and 91% of symptomatic samples using the qPCR assay and the nRT-PCR assay, respectively, suggesting that the nRT-PCR assay has higher sensitivity for detecting TSV. The qPCR assay’s limit of detection was determined at 10 fg and the assay was used to estimate the viral load in TSV-symptomatic samples. The titer of TSV in these samples was determined by absolute quantification and ranged from 15 fg to 0.796 ng. The two assays reported here provide diagnostic tools for the rapid and accurate detection of TSV that can aid in monitoring outbreaks, assessing management strategies, or screening soybean cultivars/accessions for resistance to the virus.

scholarly journals Identification of Tobacco streak virus in Cranberry and the Association of TSV with Berry Scarring

Plant Disease ◽  
2016 ◽  
Vol 100 (4) ◽  
pp. 696-703 ◽  
Author(s):  
L. D. Wells-Hansen ◽  
J. J. Polashock ◽  
N. Vorsa ◽  
B. E. L. Lockhart ◽  
P. S. McManus
Keyword(s):  
New Jersey ◽  
Coat Protein ◽  
Coat Protein Gene ◽  
Protein Gene ◽  
Management Strategies ◽  
Tobacco Streak Virus ◽  
Enzyme Linked Immunosorbent Assay ◽  
Streak Virus ◽  
Transmission Electron ◽  
Gene Sequence Analysis

Cranberry plants bearing disfigured, scarred fruit were reported by growers in the major cranberry-growing region of central Wisconsin in July 2012. Plants bearing scarred fruit have since been observed in Massachusetts and New Jersey. Three complementary methods provided evidence of Tobacco streak virus (TSV) in symptomatic plants: (i) leaves and scarred berries tested positive for TSV by double-antibody sandwich enzyme-linked immunosorbent assay; (ii) quasi-isometric particles approximately 33 nm in diameter were extracted from leaves of symptomatic plants and visualized using transmission electron microscopy; and (iii) coat protein gene sequence analysis revealed 94 to 99% nucleotide similarity with reference TSV sequences. In newer cultivars, 99% of uprights with scarred berries tested positive for TSV. In older cultivars, 31% of uprights with scarred berries tested positive for TSV and the remaining 69% of uprights with scarred berries tested positive for Blueberry shock virus. TSV overwintered in cranberry plants, and leaves, pollen, and fruit tested positive for TSV the year following symptom occurrence. Attempts to inoculate cranberry using infected pollen or sap as inoculum failed, but several herbaceous hosts tested TSV positive following mechanical inoculation. Phylogenetic analysis of the coat protein gene of 26 TSV isolates from various cultivars of cranberry in Wisconsin, New Jersey, and Massachusetts revealed diversity. This work provides information that will be useful in understanding the epidemiology of TSV in cranberry and in the development of management strategies.

scholarly journals Detection and Analysis of Degree of Maize Lodging Using UAV-RGB Image Multi-Feature Factors and Various Classification Methods

2021 ◽  
Vol 10 (5) ◽  
pp. 309
Author(s):  
Zixu Wang ◽  
Chenwei Nie ◽  
Hongwu Wang ◽  
Yong Ao ◽  
Xiuliang Jin ◽  
...  
Keyword(s):  
Crop Production ◽  
Accurate Determination ◽  
Management Strategies ◽  
Canopy Structure ◽  
Object Oriented ◽  
Texture Features ◽  
Sowing Date ◽  
Kappa Coefficient ◽  
Surface Model ◽  
Field Management

Maize (Zea mays L.), one of the most important agricultural crops in the world, which can be devastated by lodging, which can strike maize during its growing season. Maize lodging affects not only the yield but also the quality of its kernels. The identification of lodging is helpful to evaluate losses due to natural disasters, to screen lodging-resistant crop varieties, and to optimize field-management strategies. The accurate detection of crop lodging is inseparable from the accurate determination of the degree of lodging, which helps improve field management in the crop-production process. An approach was developed that fuses supervised and object-oriented classifications on spectrum, texture, and canopy structure data to determine the degree of lodging with high precision. The results showed that, combined with the original image, the change of the digital surface model, and texture features, the overall accuracy of the object-oriented classification method using random forest classifier was the best, which was 86.96% (kappa coefficient was 0.79). The best pixel-level supervised classification of the degree of maize lodging was 78.26% (kappa coefficient was 0.6). Based on the spatial distribution of degree of lodging as a function of crop variety, sowing date, densities, and different nitrogen treatments, this work determines how feature factors affect the degree of lodging. These results allow us to rapidly determine the degree of lodging of field maize, determine the optimal sowing date, optimal density and optimal fertilization method in field production.

scholarly journals Community seed network in an era of climate change: dynamics of maize diversity in Yucatán, Mexico

2021 ◽  
Author(s):  
Marianna Fenzi ◽  
Paul Rogé ◽  
Angel Cruz-Estrada ◽  
John Tuxill ◽  
Devra Jarvis
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Management Strategies ◽  
Farming Systems ◽  
Seed Systems ◽  
Farming Community ◽  
Climate Resilience ◽  
Maize Diversity ◽  
Climatic Period ◽  
Small Holder Farmers

AbstractLocal seed systems remain the fundamental source of seeds for many crops in developing countries. Climate resilience for small holder farmers continues to depend largely on locally available seeds of traditional crop varieties. High rainfall events can have as significant an impact on crop production as increased temperatures and drought. This article analyzes the dynamics of maize diversity over 3 years in a farming community of Yucatán state, Mexico, where elevated levels of precipitation forced farmers in 2012 to reduce maize diversity in their plots. We study how farmers maintained their agroecosystem resilience through seed networks, examining the drivers influencing maize diversity and seed provisioning in the year preceding and following the 2012 climatic disturbance (2011–2013). We found that, under these challenging circumstances, farmers focused their efforts on their most reliable landraces, disregarding hybrids. We show that farmers were able to recover and restore the diversity usually cultivated in the community in the year following the critical climate event. The maize dynamic assessed in this study demonstrates the importance of community level conservation of crop diversity. Understanding farmer management strategies of agrobiodiversity, especially during a challenging climatic period, is necessary to promote a more tailored response to climate change in traditional farming systems.

scholarly journals Selective cannabis strain allergy in a patient presenting with a local allergic reaction

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Peter Stepaniuk ◽  
Amin Kanani
Keyword(s):  
Direct Contact ◽  
Cannabis Sativa ◽  
Skin Prick Testing ◽  
Case Presentation ◽  
Published Report ◽  
Cannabis Indica ◽  
Different Strains ◽  
Allergen Identification ◽  
Strain Dependent ◽  
Fresh Skin

Abstract Background Cannabis use is growing domestically due to recent legalization in many jurisdictions. There are two main species of cannabis, Cannabis sativa and Cannabis indica, and thousands of different commercially available cannabis strains. Although there are multiple reports of cannabis allergy in the literature, to our knowledge, there is no prior published report of selective cannabis strain allergy. Case presentation A 31-year-old male was referred for allergy assessment due to several episodes of localized pruritus and erythema after direct contact with various strains of cannabis. He had noted that the severity of his reaction appeared to be strain dependent. He developed a severe local reaction involving bilateral periorbital edema shortly after coming into direct contact with one particular strain of cannabis. He denied any adverse symptoms after inhalation of cannabis. Fresh skin prick testing was performed to various strains of cannabis and had positive testing to the three of the five tested strains. Conclusions We believe this is the first reported case of selective cannabis strain allergy based on patient history and skin prick testing. This case report outlines the variability in different strains of cannabis and stresses the importance of further research into cannabis allergen identification. Multiple cannabis allergens should be included and incorporated into commercial extracts when they become routinely available.

Prevalence and Molecular Characterization Coat Protein Gene of Tobacco streak virus Causing Peanut Stem Necrosis Disease in Coastal and Rayalaseema Districts of Andhra Pradesh, South-India

2021 ◽  
Author(s):  
K. Saratbabu ◽  
K. Vemana ◽  
A.K. Patibanda ◽  
B. Sreekanth ◽  
V. Srinivasa Rao
Keyword(s):  
Coat Protein ◽  
Molecular Characterization ◽  
Andhra Pradesh ◽  
Disease Incidence ◽  
Tobacco Streak Virus ◽  
Enzyme Linked Immunosorbent Assay ◽  
Streak Virus ◽  
Rt Pcr ◽  
Cp Gene ◽  
Stem Necrosis

Background: Peanut stem necrosis disease (PSND) caused by Tobacco streak virus (TSV) is a major constraint for groundnut production in Andhra Pradesh (A.P.). However, studies on prevalence and spread of the disease confined to only few districts of A.P. with this background current study focused on incidence and spread of the disease in entire state of A.P. Further an isolate of TSV occurring in A.P. characterized on the basis of genetic features by comparing with other TSV isolates originated from different hosts and locations from world.Methods: Roving survey was conducted during kharif 2017-18 in groundnut growing districts of Andhra Pradesh (A.P.) for peanut stem necrosis disease incidence. Groundnut plants showing PSND symptoms were collected and tested with direct antigen coating enzyme linked immunosorbent assay (DAC-ELISA). Groundnut samples found positive by ELISA once again tested by reverse transcription polymerase chain reaction (RT-PCR). The representative TSV-GN-INDVP groundnut isolate from Prakasham district was maintained on cowpea seedlings by standard sap inoculation method in glasshouse for further molecular characterization. The Phylogenetic tree for coat protein (CP) gene was constructed using aligned sequences with 1000 bootstrap replicates following neighbor-joining phylogeny.Result: Thirty-eight (52.7%) of seventy-two groundnut samples collected from different locations in A.P were given positive reaction to TSV by DAC-ELISA. For the first time, PSND incidence observed in coastal districts (Krishna, Guntur, Sri Pottisriramulu Nellore, Prakasham) of A.P. Maximum PSND incidence recorded from Bathalapalli (22.2%) and the minimum incidence in Mulakalacheruvu (4.1%). The coat protein (CP) gene of TSV-GN-INDVP groundnut isolate was amplified by RT-PCR and it shared maximum per cent nucleotide identity (97.51-98.62%) with TSV isolates from groundnut and other different crops reported in India. All Indian isolates cluster together irrespective of crop and location based on the phylogenetic analysis.

scholarly journals Bacteriophage Biocontrol of Acidovorax citrulli, the Causal Agent of Bacterial Fruit Blotch

Proceedings ◽  
2020 ◽  
Vol 50 (1) ◽  
pp. 10
Author(s):  
Aryan Rahimi-Midani ◽  
Tae-Jin Choi
Keyword(s):  
Crop Production ◽  
Germination Rate ◽  
Causal Agent ◽  
Head Size ◽  
Genotype I ◽  
Bacterial Fruit Blotch ◽  
Double Stranded Dna ◽  
Acidovorax Citrulli ◽  
Group I ◽  
Next Generation Sequencing Ngs

Bacterial fruit blotch caused by Acidovorax citrulli is known to be the major threat to cucurbit crop production worldwide. The pathogen can penetrate into seed coat and cause disease symptoms at any stage of plant growth, which results in fruit loss. Two main genotypes (genotype I and II) are reported in A. citrulli, in which genotype II is the main cause of Bacterial Fruit Blotch (BFB) in watermelon and group I is known to be a causal agent of BFB in melon. To date, there are no commercially available cultivars resistant to BFB, and available strategies are not able to completely manage the disease. In this study, we aim to isolate bacteriophages to control BFB. Samples collected from watermelon, melon, and pumpkin were used to isolate bacteriophages. All isolated bacteriophages were tested against 42 strains of A. citrulli, among which two phages with the ability to lyse a greater number of hosts were selected and characterized. Bacteriophage ACP17 from the Myoviridae family, with a head size of 100 ± 5 nm and tail of 150 ± 5 nm, infected 29 strains of A. citrulli mostly belonging to genotype group I, whereas the second isolated bacteriophage, ACPWH from Siphoviridae, with a head size of 60 ± 5 nm and tail of 180 ± 5 nm, infected 39 A. citrulli strains. Genome analysis of both bacteriophages using Next generation Sequencing (NGS) showed that ACP17 and ACPWH have double-stranded DNA with sizes of 156,972 kb and 424,299 kb, respectively. Watermelon seeds coated with ACPWH showed a germination rate of up to 90% in the presence of A. citrulli in contrast to untreated seed, which showed no germination or germinated juveniles with BFB symptoms in the presence of A. citrulli. The results of this study show that the use of bacteriophages of A. citrulli represents a potential biocontrol method for controlling BFB.

scholarly journals The host range of Tobacco streak virus in India and transmission by thrips

2003 ◽  
Vol 142 (3) ◽  
pp. 365-368 ◽  
Author(s):  
R D V J PRASADA RAO ◽  
A S REDDY ◽  
S V REDDY ◽  
K THIRUMALA-DEVI ◽  
S CHANDER RAO ◽  
...  
Keyword(s):  
Host Range ◽  
Tobacco Streak Virus ◽  
Streak Virus

scholarly journals Some integrative management strategies to decrease doses of herbicides in agriculture

2017 ◽  
Vol 2 ◽  
pp. 31
Author(s):  
Salar Farhangi Abriz
Keyword(s):  
Water Quality ◽  
Food Safety ◽  
Nitrogen Content ◽  
Crop Production ◽  
Management Strategies ◽  
Agricultural Products ◽  
Main Target ◽  
Physicochemical Methods ◽  
Management Method ◽  
Integrative Management

<p>Over dose using of herbicides is one of the major problems in crops and horticulture productions. Human food safety and economical production of agricultural products are the main target of new agronomy and plant scientists. Integrative management is one of the new programs for reducing herbicide doses in agriculture. This program includes many physiological and physicochemical methods for controlling herbicide uses in farms and orchards. This article explain some of these methods such as using surfactants, water quality in spraying, using magnetic fields, controlling the nitrogen content of soil, using a suitable formulation and powerful cultivars and genotypes in agriculture and the effects of this reduction in herbicide doses on plants behavior and weeds controlling. According to this method integrative management can be beneficial in crop production and farmers must be using of this management method in their farms. </p>

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