Jason Bond

Dr. Jason Bond


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in Plant Disease
Verified
Journal Article
Closed access
Mirian Filgueira PimentelMirian Filgueira Pimentel
Mirian Filgueira Pimentel
EAErika Arnão
Erika Arnão
AWAmanda J. Warner
Amanda J. Warner
ASArjun Subedi
Arjun Subedi
LRLeonardo Rocha
Leonardo Rocha
AFAhmad Fakhoury
Ahmad Fakhoury
Sudden death syndrome (SDS) caused by Fusarium virguliforme is among the most important diseases affecting soybean in the United States. The use of biological control agents (BCAs) such as Trichoderma spp. can be a valuable resource to suppress F. virguliforme populations. Therefore, this research focused on screening possible BCAs against F. virguliforme and evaluating mycoparasitism and the induction of systemic resistance as mechanisms underlying the antagonistic activity of selected BCAs against F. virguliforme. In total, 47 potential BCAs, including 41 Trichoderma isolates and 6 Mortierella isolates, were screened in a dual-plate assay. The most effective isolates belonged to the Trichoderma harzianum species and were able to inhibit F. virguliforme radial growth by up to 92%. Selected Trichoderma isolates were tested in the greenhouse and in a microplot study. They reduced root rot caused by F. virguliforme when the plants were coinoculated with the pathogen and the BCA. The tested BCA’s ability to reduce F. virguliforme growth may be related to several mechanisms of action, including mycoparasitism and induction of defense-related genes in plants, as revealed by monitoring the expression of defense-related genes in soybean. Our results highlight the potential of native Trichoderma isolates to inhibit F. virguliforme growth and reduce SDS severity, providing the basis for future implementation of biological control in soybean production. More efforts are needed to implement the use of these approaches in production fields, and to deepen the current knowledge on the biology of these highly antagonistic isolates.

1 June 2018 in Plant Disease
Verified
Journal Article
Open access
YKYuba R. Kandel
Yuba R. Kandel
MMMichael T. McCarville
Michael T. McCarville
EAEric Adee
Eric Adee
JBJason Bond
Jason Bond
MCMartin Chilvers
Martin Chilvers
DMDaren Mueller
Daren Mueller
A meta-analytic approach was used to summarize data on the effects of fluopyram-amended seed treatment on sudden death syndrome (SDS) and yield of soybean (Glycine max L.) in over 200 field trials conducted in 12 U.S. states and Ontario, Canada from 2013 to 2015. In those trials, two treatments—the commercial base (CB), and CB plus fluopyram (CBF)—were tested, and all disease and yield data were combined to conduct a random-effects and mixed-effects meta-analysis (test of moderators) to estimate percent control and yield response relative to CB. Overall, a 35% reduction in foliar disease and 295 kg/ha (7.6%) increase in yield were estimated for CBF relative to CB. Sowing date and geographic region affected both estimates. The variation in yield response was explained partially by disease severity (19%), geographic region (8%), and sowing date (10%) but not by the resistance level of the cultivar. The probability of not offsetting the cost of fluopyram was estimated on a range of grain prices and treatment cost combinations. There was a high probability (>80%) of yield gains when disease level was high in any cost–price combinations tested but very low when the foliar symptoms of the disease were absent.

1 January 2017 in Phytobiomes Journal
Verified
Journal Article
Closed access
ASAli Y. Srour
Ali Y. Srour
David GibsonDavid Gibson
David Gibson
LLLeonor F. Leandro
Leonor F. Leandro
DMDean K. Malvick
Dean K. Malvick
JBJason Bond
Jason Bond
AFAhmad Fakhoury
Ahmad Fakhoury
Sudden death syndrome (SDS) caused by Fusarium virguliforme is a widespread and economically important disease of soybean. SDS is typically distributed unevenly in patches across soybean fields. While certain spots in fields are highly conducive to the development of severe SDS, other areas appear to be naturally healthy or suppressive to the disease. The role of soil microbial communities and soil physical and chemical properties in SDS development was investigated in 45 soybean fields in Illinois, Iowa, and Minnesota. Soil samples were collected from symptomatic patches in fields and from adjacent areas where SDS foliar symptoms did not develop. Multiple edaphic factors were measured, and markers specific to bacteria, fungi, archaea, oomycete, and nematodes, coupled with Illumina MiSeq sequencing, were used to identify key taxa likely associated with SDS development. A total of 14,200,000 reads were mapped against the National Center for Biotechnology Information nucleotide database and taxonomically compared using Metagenome Analyzer (MEGAN5). Physical and chemical analysis of soil variables did not provide any correlation with the patchiness pattern of SDS. Significant differences in bacterial and fungal community structure between soils from healthy and diseased areas of fields were found. At least 20 taxa were associated with healthy soils, including members of Fusarium oxysporum sp. complex, Actinomycetales, Firmicutes, Chloroflexi, Trichoderma spp., Pseudomonas, Metacordyceps, Penicillium, Purpureocillium, and Myceliophtora. In diseased soils, Fusarium solani spp., Phallus rugulosus, Stachybotrys, and Alpha- and Betaproteobacteria dominated. Our results suggest that the relative abundance of multiple microbial taxa in the soil plays a key determinant in the incidence of SDS.

14 January 2021 in Agronomy
Verified
Journal Article
Open access
PDF file
LRLeonardo Rocha
Leonardo Rocha
KGKarla Gage
Karla Gage
Mirian Filgueira PimentelMirian Filgueira Pimentel
Mirian Filgueira Pimentel
JBJason Bond
Jason Bond
AFAhmad Fakhoury
Ahmad Fakhoury
The soybean cyst nematode (SCN; Heterodera glycines Ichinohe) is a major soybean-yield-limiting soil-borne pathogen, especially in the Midwestern US. Weed management is recommended for SCN integrated management, since some weed species have been reported to be hosts for SCN. The increase in the occurrence of resistance to herbicides complicates weed management and may further direct ecological–evolutionary (eco–evo) feedbacks in plant–pathogen complexes, including interactions between host plants and SCN. In this review, we summarize weed species reported to be hosts of SCN in the US and outline potential weed–SCN management interactions. Plants from 23 families have been reported to host SCN, with Fabaceae including most host species. Out of 116 weeds hosts, 14 species have known herbicide-resistant biotypes to 8 herbicide sites of action. Factors influencing the ability of weeds to host SCN are environmental and edaphic conditions, SCN initial inoculum, weed population levels, and variations in susceptibility of weed biotypes to SCN within a population. The association of SCN on weeds with relatively little fitness cost incurred by the latter may decrease the competitive ability of the crop and increase weed reproduction when SCN is present, feeding back into the probability of selecting for herbicide-resistant weed biotypes. Therefore, proper management of weed hosts of SCN should be a focus of integrated pest management (IPM) strategies to prevent further eco–evo feedbacks in the cropping system.

10 May 2021 in Frontiers in Plant Science
Verified
Journal Article
Open access
LRLeonardo Rocha
Leonardo Rocha
MPMirian F. Pimentel
Mirian F. Pimentel
JBJohn Bailey
John Bailey
TWTerry Wyciskalla
Terry Wyciskalla
DDDan Davidson
Dan Davidson
JBJason Bond
Jason Bond
Double-cropping is defined as producing more than one crop on the same parcel of land in a single growing season. It is reported to have many benefits when incorporated in cropping systems, including improving soil health. In some double-cropping systems, soybean is planted following winter wheat. The soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) is a major soybean pathogen, and several reports suggest suppressive effects of wheat on SCN populations. Field trials were conducted from 2017 to 2018 to investigate the effect of wheat on SCN populations in double-cropping soybean. Nine fields with three levels of initial SCN populations (low, moderate, and high) were selected in Illinois. Wheat was planted in strips alternating with strips-maintained weed-free and under fallow over winter and early spring. Soybean was planted in all strips after wheat harvest. SCN egg densities were acquired at four time points: wheat establishment, post-wheat/pre-soybean, mid-soybean (R1 growth stage or beginning of flowering), and post-soybean harvest. Wheat strips reduced SCN egg densities compared with fallow strips at the R1 stage (−31.8%) and after soybean harvest (−32.7%). Double-cropping soybean with wheat has the potential to suppress SCN field populations and is a system with the potential to provide additional farm income. This study is meant to be a first step toward a better understanding of the mechanisms that govern the suppression of SCN by wheat.

10 January 2022 in Frontiers in Agronomy
Verified
Journal Article
Open access
LRLeonardo Rocha
Leonardo Rocha
JBJason Bond
Jason Bond
AFAhmad Fakhoury
Ahmad Fakhoury
Plant-parasitic nematodes represent a substantial constraint on global food security by reducing the yield potential of all major crops. The soybean cyst nematode (SCN) (Heterodera glycines Ichinohe) is widely distributed across important soybean production areas of the U.S., being the major soybean yield-limiting factor, especially in the Midwestern U.S. Double cropped (DC) soybean is commonly planted following winter wheat. We previously reported double-cropping soybean fields with reduced SCN counts compared to fallow at both R1 growth stage (beginning of flowering) (−31.8%) and after soybean harvest (−32.7%). To test if higher counts of beneficial and SCN antagonistic microorganisms could be correlated with the suppression of SCN in fields previously planted with wheat, three field locations with noted SCN suppression were selected for a metagenomics study. Ten subplots were selected (5 wheat and 5 fallow pre-soybean) from each location. A total of 90 soil samples were selected: 3 fields ×2 treatments × 3 timepoints × 5 replications. Three DNA markers targeted distinct microbial groups: bacteria (16S V4-V5), fungi (ITS2), and Fusarium (tef1). Amplicons were sequenced using an Illumina MiSeq platform (300 bp paired-end). Sequencing datasets were processed in R using the DADA2 pipeline. Fungal populations were affected by location in all sampling periods and differed significantly between DC and fallow plots at soybean planting and after harvest (P < 0.001). Several enriched fungal and bacterial taxa in wheat plots, including Mortierella, Exophiala, Conocybe, Rhizobacter spp., and others, were previously reported to parasitize SCN and other plant-parasitic nematodes, suggesting a potential role of beneficial microbes in suppression of SCN in soybean fields double-cropped with wheat.