Civic Intelligence

North Central Soybean Research Program

990 • Fiscal year 2015 • EIN 42-1394799

Oct 01, 2014 to Sep 30, 2015 • Filed on Dec 11, 2015

1255 Prairie Trail ParkwayAnkeny, IA 50023

(515) 251-8640

Siviq Scores

Precomputed percentiles for this filing year versus similar nonprofits in the same peer cohort.

Liabilities / Assets

65th percentile

0.25x

Higher debt load relative to assets than 65% of similar nonprofits.

2015 filings • 501(c)3 • $1M-$5M nonprofits • Source year 2015

Liabilities / Revenue

72nd percentile

0.36x

Higher debt load relative to revenue than 72% of similar nonprofits.

2015 filings • 501(c)3 • $1M-$5M nonprofits • Source year 2015

Net Margin

98th percentile

93%

Higher net margin than 98% of similar nonprofits.

2015 filings • 501(c)3 • $1M-$5M nonprofits • Source year 2015

Top Officer Pay

Score unavailable

No value available

This filing does not contain officer compensation rows.

Source year 2015

Asset Growth

91st percentile

49%

Faster asset growth than 91% of similar nonprofits.

2015 filings • 501(c)3 • $1M-$5M nonprofits • Annualized from 2014 to 2015

Revenue Growth

66th percentile

11%

Faster revenue growth than 66% of similar nonprofits.

2015 filings • 501(c)3 • $1M-$5M nonprofits • Annualized from 2014 to 2015

Assets

Up

$4,605,452

Up $1,520,162 (+49%) from 2014

Net Assets

Up

$3,455,568

Up $2,971,338 (+614%) from 2014

Liabilities

Down

$1,149,884

Down $1,451,176 (-56%) from 2014

Revenue

Up

$3,179,546

Up $322,374 (+11%) from 2014

Expenses

Down

$208,208

Down $3,045,571 (-94%) from 2014

Net Income

Up

$2,971,338

Up $3,367,945 (+849%) from 2014

Historical Trend

Balance Sheet Trend

The highlighted filing sits inside the broader history for assets, liabilities, and net assets.

$6.0M$4.0M$2.0M$0Assets 2010: $2,073,215Liabilities 2010: $1,906,197Net Assets 2010: $167,0182010Assets 2011: $3,426,376Liabilities 2011: $3,089,693Net Assets 2011: $336,6832011Assets 2012: $3,158,091Liabilities 2012: $2,327,232Net Assets 2012: $830,8592012Assets 2013: $2,755,586Liabilities 2013: $1,874,749Net Assets 2013: $880,8372013Assets 2014: $3,085,290Liabilities 2014: $2,601,060Net Assets 2014: $484,2302014Assets 2015: $4,605,452Liabilities 2015: $1,149,884Net Assets 2015: $3,455,5682015Assets 2016: $4,021,013Liabilities 2016: $1,729,471Net Assets 2016: $2,291,5422016Assets 2017: $3,051,153Liabilities 2017: $1,576,011Net Assets 2017: $1,475,1422017Assets 2018: $2,229,927Liabilities 2018: $0Net Assets 2018: $2,229,9272018Assets 2019: $2,090,649Liabilities 2019: $0Net Assets 2019: $2,090,6492019Assets 2020: $1,500,843Liabilities 2020: $0Net Assets 2020: $1,500,8432020Assets 2021: $1,947,025Liabilities 2021: $0Net Assets 2021: $1,947,0252021Assets 2022: $2,007,367Liabilities 2022: $0Net Assets 2022: $2,007,3672022Assets 2023: $1,250,047Liabilities 2023: $0Net Assets 2023: $1,250,0472023Assets 2024: $1,391,103Liabilities 2024: $0Net Assets 2024: $1,391,1032024Assets 2025: $2,328,941Liabilities 2025: $0Net Assets 2025: $2,328,9412025

Highlighted filing

2015

Assets$4,605,452
Liabilities$1,149,884
Net Assets$3,455,568

Operations Trend

Revenue, expenses, and net income across loaded years, with this filing highlighted.

$6.0M$4.0M$2.0M$0-$2.0MExpenses 2010: $2,930,1092010Expenses 2011: $3,537,1252011Expenses 2012: $2,959,5082012Expenses 2013: $2,941,9762013Revenue 2014: $2,857,172Expenses 2014: $3,253,779Net Income 2014: -$396,6072014Revenue 2015: $3,179,546Expenses 2015: $208,208Net Income 2015: $2,971,3382015Revenue 2016: $3,634,684Expenses 2016: $4,798,710Net Income 2016: -$1,164,0262016Revenue 2017: $3,280,752Expenses 2017: $4,097,152Net Income 2017: -$816,4002017Revenue 2018: $3,282,467Expenses 2018: $4,070,836Net Income 2018: -$788,3692018Revenue 2019: $3,706,023Expenses 2019: $3,845,301Net Income 2019: -$139,2782019Revenue 2020: $4,177,896Expenses 2020: $4,767,702Net Income 2020: -$589,8062020Revenue 2021: $3,288,352Expenses 2021: $2,842,170Net Income 2021: $446,1822021Revenue 2022: $3,793,482Expenses 2022: $3,733,140Net Income 2022: $60,3422022Revenue 2023: $4,737,897Expenses 2023: $5,495,217Net Income 2023: -$757,3202023Revenue 2024: $5,629,627Expenses 2024: $5,488,571Net Income 2024: $141,0562024Revenue 2025: $5,573,694Expenses 2025: $4,635,856Net Income 2025: $937,8382025

Highlighted filing

2015

Revenue$3,179,546
Expenses$208,208
Net Income$2,971,338
Jump To
Filing Snapshot
Filing Period
Oct 1, 2014 to Sep 30, 2015
Signed
Dec 11, 2015
Return Version
2014v5.0
Gross Receipts
$3,179,546
Mission and Program Overview

Mission

Coordinate soybean research

Balance Sheet Detail
LineBeginningEndChange
Assets
Savings and Temporary Cash Investments$1,990,042$2,251,560▲ $261,518
Cash and Non-Interest-Bearing Accounts$300,000$2,157,805▲ $1,857,805
Accounts Receivable$795,248$191,573▼ $603,675
Other Notes and Loans Receivable, Net-$0-
Pledges and Grants Receivable-$0-
Receivable From Disqualified Prsn-$0-
Receivables From Officers Etc-$0-
Investments Other Securities-$0-
Investments Program Related-$0-
Investments in Publicly Traded Securities-$0-
Land, Buildings, and Equipment, Net-$0-
Intangible Assets-$0-
Inventories for Sale or Use-$0-
Prepaid Expenses and Deferred Charges-$0-
Total Assets$3,085,290$4,605,452▲ $1,520,162
Other Assets Total-$4,514-
Liabilities
Accounts Payable and Accrued Expenses$2,601,060$1,149,884▼ $1,451,176
Total Liabilities$2,601,060$1,149,884▼ $1,451,176
Net Assets / Fund Balance
Unrestricted Net Assets$484,230$3,455,568▲ $2,971,338
Total Net Assets Fund Balance$484,230$3,455,568▲ $2,971,338
Total Liabilities and Net Assets / Fund Balance$3,085,290$4,605,452▲ $1,520,162
Compensation and Service Providers

Board Members and Trustees

NameTitle
Trevor GlickPresident
Gene StoelVice President
Cecil DemottDirector
Cliff MulderDirector
Craig ConverseDirector
Ed CagneyDirector
Greg PetersDirector
Jerod HookerDirector
Keith KempDirector
Rick AlbrechtDirector
Ron OhldeDirector
Mike CernySecretary/Treas
Revenue and Support

Revenue Composition

Contributions and Grants
$3,172,734
Program Service Revenue
$0
Investment Income
$6,812
Other Revenue
$0
All Other Contributions
$3,172,734
Change in Net Assets
$2,971,338
Expenses and Functional Allocation

Major Expense Lines

Line ItemAmount
Other Expenses$208,208
Grants and Similar Amounts Paid$0
Professional Fundraising Fees$0
Salaries, Compensation, and Employee Benefits$0
Total Fundraising Expense$0

Functional Expense Allocation

Line ItemProgramManagementFundraisingTotal
Other Expenses$57,268$150,940-$57,268
Total Functional Expenses$57,268$150,940$0$208,208
Fundraising, Events, and Gaming
Fundraising activities
No
Gaming activities
No
Professional fundraiser used
No

Fundraising and Gaming Totals

Line ItemAmount
Professional Fundraising Fees$0
Political and Lobbying Activity
Political campaign activity
No
Lobbying activity
No
Subject to proxy tax
No
Insider Transactions and Loans

Loans and Receivables

Line ItemBeginningEndChange
Receivables from Disqualified Persons-$0-
Receivables from Officers, Directors, Trustees, and Key Employees-$0-
Governance and Compliance

Governance Checklist

Compiled or reviewed by an accountant
No
Annual disclosure for covered persons
Yes
Audit committee
Yes
Backup withholding compliance
No
Business relationship with family members
No
Business relationship with organization members
No
Material changes to governing documents
No
Compensation from other sources disclosed
No
CEO compensation reviewed
No
Other officer compensation reviewed
No
Conflict-of-interest policy
Yes
Audited financial statements prepared
No
Key decisions subject to board approval
No
Management duties delegated
No

Governance Explanations

Form 990, Part VI, Line 11B: Form 990 Review Process

Presented to the board at the meeting held on december 11, 2015

Form 990, Part VI, Line 12C: Explanation of Monitoring and Enforcement of Conflicts

Annually the board is required to disclose conflicting interests. Board members are required to recuse themselves from any vote if there is a conflict.

Form 990, Part VI, Line 19: Other Organization Documents Publicly Available

Governing documents, conflict of interest policy and financial statements are available to the public upon request.

Filing and Contact Details

Filer

Filer Name
North Central Soybean Research Program
EIN
42-1394799
Phone
5152518640
Address
1255 Prairie Trail Parkway, Ankeny, IA 50023

Signing Officer

Name
Kirk Leeds
Title
Executive Director
Signed
2015-12-11
Discuss with paid preparer
Yes

Organization Details

Formed
1992
Legal Domicile
Ia
Voting Board Members
12
Independent Board Members
12
Employees
0
Volunteers
12

Preparer

Firm
Schnoes & Company
Address
520 Walnut Street, WAUKEE, IA 50263-9518
Preparer
Michael F Schnoes
Phone
5159879598
Supplemental Narrative

Additional Explanations

Program Description (20)

(20) Project Title: Evaluation and Development of a Biological Control Product to Control Soybean Sudden Death Syndrome and White MoldPrinciple Investigator and Co-PIs: X.B. Yang, Iowa State University, [email protected] Navi, Iowa State University, [email protected] Carl Alan Bradley, University of Illinois [email protected] Youfu Zhao, University of Illinois, [email protected] James Kurle, University of Minnesota, [email protected] Amount and Project Year: $175,947, 2nd year of three year projectBrief Statement of Objectives: Sudden death syndrome (SDS) and white mold are two of the most important fungal diseases in soybean production in the US, affecting 40 - 50 million acres in the North Central Region. These two diseases threaten the sustainable production of soybean in the North Central Region. Biological control products are the future for disease management in row crops and private industry has made significant progress in development of biological fungicides for row crops. The goal of this proposal is to evaluate their effectiveness of potential biological control agent in other states of the North Central Region and develop the agent into a product for commercial use, which will provide reliable and cost-effective control of SDS and white mold of soybean. Project Objectives: oTo conduct multi-state field evaluation for fungal biological control agents that are found effective in reducing soybean sudden death syndrome and white mold.oTo investigate a wide-host-range bacterial bio-control agent that is effective in killing SDS and white mold pathogens for management of SDS and white mold in Illinois.oTo collect data of prototype product of the biological control agent for commercializationoTo determine if application of the biocontrol agent to crop residues of corn, alfalfa, or soybean can reduce inoculums production, infection, and disease caused by F. virguliforme and Sclerotinia.

Program Descriptions (1) through (5)

(1) Project Title: Breeding to improve resistance to SDS in soybean as a means to protect yield Delivering resistant varieties and linesPrincipal Investigador: Silvia R. Cianzio, [email protected]. Co-Pis: B. Diers, J. Orf. D. Wang, P. Chen, S. Kantartzi, G. Hartmann, J. Bond Budget Amount: $176,663 Year: 2 of 3 Brief Statement of Objectives: Breeding high yield SDS-resistant soybean cultivars in Maturity Groups I to VI for farmers, and seed industry. Objectives that support Objective 1: 1) Identify new sources of resistance to SDS; 2) Evaluation of SDS-field resistance of public experimental linesBackground information. An ideal production approach for managing sudden death syndrome (SDS) is the planting of resistant cultivars. Development of soybean resistant cultivars is difficult and time consuming, since SDS genetic resistance is determined by numerous genes, each and every one interacting with the production environment. The number of SDS-resistant cultivars is presently limited. A group of soybean breeders already working on developing SDS resistant germplasm at different institutions was brought together to this project. (2) Project Title: Enhancing disease resistance through biotechnologyPrincipal Investigators: Tom Clemente (University of Nebraska-Lincoln, Dept. of Agronomy & Horticulture, N308 Beadle Center, Lincoln, NE 68588-0665) e-mail: [email protected] phone: 402-472-1428 fax: 402-472-3139Budget Amount & Project Year: $149, 445 / 2014-2015Statement of Objectives:Our team is designing genetic constructs under control of two different constitutive promoters elements that will express two distinct types of interfering RNAs, small interfering RNAs (siRNAs) or microRNAs (miRNAs). Our approach, first utilizes a developed throughput screen to identify additional target genes in the aphid and two, prioritize these targets gene, coupled with appropriate promoter elements for whole plant transformations. This transdisciplinary approach incorporates expertise in entomology, plant pathology and biotechnology uniquely positions us to address this challenging pest of soybean. Towards this effort we are utilizing a high throughput screen to identify additional targets for silencing in aphids as a means to perturb the insects life cycle, and two, producing transgenic soybean events and subsequently phenotyping T2 populations for resistance.(3) Project Title: Acceleration of Soybean Yield and Composition Improvement through Genomic SelectionPrinciple Investigator and Co-PIs: Brian Diers, Matt Hudson, Pat Brown, Randall Nelson, Katy Martin Rainey, Bill Beavis, Asheesh Singh, George Graef, Jim Specht, and Aaron LorenzBudget Amount and Project Year: Year 1, $354,328Brief Statement of Objectives:The overall objective of this project is to use results from the large, USB funded SoyNAM project to predict the performance of new experimental lines and to test whether these predictions result in the selection of better lines than traditional breeding methods. If these new methods are successful, this will increase the rate of genetic gain in breeding programs. Below are the specific project objectives. The first objective is to test genomic selection in breeding populations. This first step is to use the dataset from the SoyNAM project to optimize methods for using genetic markers to predict yield, protein concentration, and maturity of soybean lines (this is called genomic prediction and when plants or lines are selected with this method, it is call genomic selection). In this objective, predictions for the traits can be made and compared to trait data that is available. The second step is to conduct a breeding experiment using the optimized genomic selection approaches in populations of breeding lines developed by each cooperating breeder. Within each population, lines selected using genomic selection and traditional approaches will be compared to determine which method was the most successful. The second objective is to use of ge

Program Descriptions (11) through (14)

(11) Project Title: Developing an Integrated Management and Communication Plan for Soybean Sudden Death SyndromePrinciple Investigator: Daren Mueller, [email protected] Amount and Project Year: $164,811, year 2 of project October 1 March 31, 2015Brief Statement of Objectives:The foundational management strategy for sudden death syndrome (SDS) is using resistant cultivars. However, in years such as 2010 and 2014, when environmental conditions are favorable for disease development, it is evident that resistance alone does not provide adequate control or reduce farmer risk sufficiently. Also, SDS continues to move into new areas. Thus, the main goal of this project is to investigate management options that will help ensure resistant cultivars will be as effective as possible thereby reducing risk as well as providing farmers with maximum economic return on their investment even in unusually conducive SDS conditions. Objective 1. Evaluate if soybean root health can be improved to reduce SDS or be used as an indicator of SDS risk.Objective 2. Determine how shifts in soybean production practices affect the risk of SDS development.Objective 3. Communicate research results with farmers, agribusinesses.Examined the effect of glyphosate on SDS. Study has been published in Plant Disease. Study of effect of interaction between herbicide and seed treatment on SDS is ongoing. We collected and analyzed the first year data. Completed a multi-lab study evaluating performance of six qPCR assays developed for F. virguliforme. The manuscript was submitted for publication to Phytopathology. In this study, we compared the strengths and weakness of all six assays under different research facilities in terms of their specificity, sensitivity, and consistency and also identified an effective protocol for better diagnosis and quantify SDS pathogen. To summarize, assays differed in their performances and also the performance of the same assay varied among the laboratories. An assay developed in Chilvers lab showed the highest sensitivity and the second highest specificity, and thus is suggested as the most useful qPCR assay for F. virguliforme. This assay is currently being used for quantifying F. virguliforme population in root and soil in other objectives. Identified seed treatments to reduce SDS foliar symptoms. We completed a study evaluating planting date and seed treatment effect on SDS development. Manuscripts are being written to peer-reviewed journals. To summarize, ILeVO seed treatment reduced disease severity and increased yield nearly in all plantings and cultivars, with a maximum yield response up to 21% (Roland Iowa). Effect of planting date on foliar SDS symptoms was inconclusive. Although Mid-June plantings did not have higher disease than early plantings it yielded lower grain up to 19 bu/A compared to early May plantings.Evaluated different fungicide products and application methods to see if any would complement cultivar resistance Manuscript is being written for publication in peer-reviewed journal. We are continuing this study in 2015 replacing some products and foliar applications with new chemical and biological products. From this study, the main conclusion was that ILeVO seed treatment and Luna Privilege in-furrow were effective at reducing SDS severity in many different environments compared to the control. Foliar applications of any chemicals had no effect on SDS. Collected SCN, SDS and yield data from all participating states and data analysis is being done. We will continue this experiment in 2015 as well. However, so far we found varieties with Peking source of resistance for SCN had lowest SDS in many environments and varieties with no resistance to SDS and SCN had the highest disease. Presented our preliminary research at professional meetings, on Plant Management Network, gave national and international seminars, media interviews, talk in field days and conferences for farmers and also published in state newslet

Program Descriptions (15) through (19)

(15) Project Title: Quantification of viral suppression in SCN populations: nematode virus impact on SCN reproduction and egg viabilityPrinciple Investigator and Co-PIs: Gregory L. Tylka, Iowa State University (PI), Kaustubh Bhalerao and Sadia Bekal, University of Illinois (Co-PIs)Budget Amount and Project Year: $55,000 March 1, 2014 to September 30, 2015 (Year 1) $55,000 October 1, 2015 to September 30, 2016 (Year 2)Brief Statement of Objectives:Heterodera glycines, the soybean cyst nematode (SCN), is the most damaging pathogen of soybean in the North Central Region of the USA. This nematode is particularly problematic because eggs survive in the soil for many years, making this pathogen very difficult to manage. A management strategy that would limit SCN egg hatching would be an effective way to disrupt a critical point in the nematode life cycle. Commonly used nematicides, resistant soybean varieties, and nonhost crops do not kill nematode eggs, but newly discovered SCN viruses reproduce in nematode eggs and lower their viability. The overall goal of this project is to quantify the extent of damage viruses inflict on SCN in laboratory and field experiments, with the hope that these viruses may be deployed as self-replicating, SCN-specific biological pesticides in the future. Specific project objectives are: 1) To quantify the damage to SCN caused by viruses and 2) to determine which viruses cause the most damage to SCN.Brief Statement of Expected Deliverables (max 250 words):Our main goal is to quantify the damage that viruses cause on SCN. We will quantify the damage to SCN in both the field and in laboratory experiments. For the field phase of the project, the first goal will be to identify and locate virus-infected SCN populations. The next step will be to assess the extent of damage to SCN reproduction caused by the viruses. In the laboratory studies, we will utilize inbred SCN populations with differing levels of the viruses or no virus at all. These studies will be ongoing throughout the first year and should establish the level of damage to egg hatch rates and nematode mobility. (16) Project Title: Soybean Aphid Management, Resistance, and Outreach in the North Central RegionBudget Amount and Project Year: Project Year 3 of 3; Budget $693,685Reporting Period: October 1, 2014 to March 31, 2015Brief Statement of Objectives:The purpose of this project is research and outreach on the soybean aphid, including management, resistance breeding, genomic studies, biological control, and a dedicated outreach objective. This project combines the multidisciplinary expertise of 24 scientists in 12 states. This research proposal is organized into five Programs, each with associated projects. The programs are listed here, with progress on various project objectives described below:Integrated Pest ManagementBreeding and Genetic Resistance to Soybean AphidSoybean Aphid BiotypesBiological ControlExtension and OutreachBrief Statement of Expected Deliverables during Reporting Periods:Research on aphid biotypes capable of surviving on resistant soybeansAnalyses of the cost-effectiveness of seed treatmentsPesticide resistance monitoring for soybean aphidResearch on the relationship between soil nutrients and aphid outbreaksSoybean introductions screened for aphid resistance (ongoing each year)High yielding aphid resistant germplasm with single or stacked genes adapted to maturity groups I to III (Year 3)Resistant/susceptible isolines for use in researchEstablishment of at least one species of aphid parasitoid species in the North Central region, along with information on its impact on soybean aphidLocal and regional extension deliverables (factsheets, field guides, videos, scouting aids, etc.) Capstone event featuring project resultsUpdated content for the NCSRP soybean research website(17) Project Title: Engineered resistance to soybean cyst nematode via induced gene silencing (RNAi)Principle Investigator and Co-PIs: Harold Trick (Project

Program Descriptions (6) through (10)

(6) Project Title: Identifying High-yield Genotypes in the USDA Soybean Germplasm Collection Principle Investigator and Co-PIs: George Graef, University of Nebraska ([email protected]), Kent Eskridge (Statistics, UNL), Randy Nelson (USDA, ARS, Illinois), Brian Diers (University of Illinois), Danny Singh (Iowa State University), Aaron Lorenz and Jim Orf (University of Minnesota), Andrew Scaboo (University of Missouri). Budget Amount and Project Year: $64,500, Year 1 of 3 Brief Statement of Objectives (max 250 words): The overall objective is to identify the best soybean lines in the USDA collection that will increase soybean yields in the north central region. This research will develop ways to efficiently and effectively sample the over 17,000 introduced soybean accessions and identify the best ones to improve yield and quality in US commercial soybean varieties. Less than 20 PIs make up more than 86% of the parentage of modern US soybean cultivars. Effective use of the other 16,980 accessions becomes a sampling issue. So our approach makes use of the 50K SNP genotype information available on all accessions in the collection to evaluate differences among sampling methods related to genetic diversity, yield, and ability to identify genomic regions related to yield in this vast resource that we have available. We used three sampling methods a super saturated design (SSD), cluster method (CLU) and random selection (RAN) -- to choose PI accessions based on the 50K SNP genotype information. The SSD maximizes differences among all entries in the group, so our expectation is that the lines in the SSD group will have greater genetic variation, and a larger variance for yield and other traits that we measure in our evaluations. The ultimate end goal is to facilitate development of high-yielding soybean cultivars for producers by making efficient use of these genetic resources.(7) Project Title: Characterization and Enhancement of Soybean Genetic Resources for Soilborne Disease ResistancePrinciple Investigator and Co-PIs: (PIs) James Kurle, Xianjin Ma, (Co-PIs) Jim Orf, Nevin Young, Kate Rainey.Amount and Project Year: $186,500 (Year 1 of 3)Brief Statement of Objectives (max 250 words):Obj. 1.Evaluate of soybean germplasm for resistance or partial resistance to Phytophthora sojae, Pythium irregulare, P. ultimum, and Fusarium graminearum (Kurle & Orf)Obj. 2.Identify of QTLs underlying resistance to P. sojae, F. graminearum, P. irregulare, and P. ultimum by association mapping (Kurle & Young)Obj. 3.Fine mapping, isolation, and functional verification of two uncharacterized Rps genes conferring resistance to P. sojae (Ma&Rainey)Obj. 4.Develop highly adapted soybean cultivars or experimental lines with major resistance QTLs and Rps genes by marker-assisted selection (Rainey & Orf)Brief Statement of Expected Deliverables (max 250 words):Obj. 1. Relate new QTLs/genes to resistance and partial resistance to P. sojae, P. ultimum, F. graminearum identified in early maturity lines.Obj. 2. Initial results of statistical analysis and association mapping for P. sojae. Obj. 3. Fine mapping of RpsUN2 to a 64-kb region within 430 kb previously associated with marker for this gene.Obj. 4. Introgression of RpsUN1 and RpsUN2 to elite breeding lines developed by Purdue.(8) Project Title: Development of a rapid SCN virulence testPrinciple Investigator and Co-PIs:Lead PI: Kris Lambert, [email protected]: Khalid Meksem, [email protected]: Silvia Cianzio, [email protected] Amount and Project Year: $ 64,000 year 1 of 2Brief Statement of Objectives (max 250 words):This project has the aim of developing an inexpensive, quantitative, DNA-based virulence test based upon the use of recently identified nematode virulence genes, that will take only hours to complete. This project has two main goals:1) Identify new SCN resistance gene combinations focusing on soybean resistance conferred by the Rhg4. 2) Test SCN virulence gene candidates for their abilit

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IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt0PRESENTED TO THE BOARD AT THE MEETING HELD ON DECEMBER 11, 2015
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt1ANNUALLY THE BOARD IS REQUIRED TO DISCLOSE CONFLICTING INTERESTS. BOARD MEMBERS ARE REQUIRED TO RECUSE THEMSELVES FROM ANY VOTE IF THERE IS A CONFLICT.
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt2Governing documents, conflict of interest policy and financial statements are available to the public upon request.
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt3(20) Project Title: Evaluation and Development of a Biological Control Product to Control Soybean Sudden Death Syndrome and White MoldPrinciple Investigator and Co-PIs: X.B. Yang, Iowa State University, [email protected] Navi, Iowa State University, [email protected] Carl Alan Bradley, University of Illinois [email protected] Youfu Zhao, University of Illinois, [email protected] James Kurle, University of Minnesota, [email protected] Amount and Project Year: $175,947, 2nd year of three year projectBrief Statement of Objectives: Sudden death syndrome (SDS) and white mold are two of the most important fungal diseases in soybean production in the US, affecting 40 - 50 million acres in the North Central Region. These two diseases threaten the sustainable production of soybean in the North Central Region. Biological control products are the future for disease management in row crops and private industry has made significant progress in development of biological fungicides for row crops. The goal of this proposal is to evaluate their effectiveness of potential biological control agent in other states of the North Central Region and develop the agent into a product for commercial use, which will provide reliable and cost-effective control of SDS and white mold of soybean. Project Objectives: oTo conduct multi-state field evaluation for fungal biological control agents that are found effective in reducing soybean sudden death syndrome and white mold.oTo investigate a wide-host-range bacterial bio-control agent that is effective in killing SDS and white mold pathogens for management of SDS and white mold in Illinois.oTo collect data of prototype product of the biological control agent for commercializationoTo determine if application of the biocontrol agent to crop residues of corn, alfalfa, or soybean can reduce inoculums production, infection, and disease caused by F. virguliforme and Sclerotinia.
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt4(1) Project Title: Breeding to improve resistance to SDS in soybean as a means to protect yield Delivering resistant varieties and linesPrincipal Investigador: Silvia R. Cianzio, [email protected]. Co-Pis: B. Diers, J. Orf. D. Wang, P. Chen, S. Kantartzi, G. Hartmann, J. Bond Budget Amount: $176,663 Year: 2 of 3 Brief Statement of Objectives: Breeding high yield SDS-resistant soybean cultivars in Maturity Groups I to VI for farmers, and seed industry. Objectives that support Objective 1: 1) Identify new sources of resistance to SDS; 2) Evaluation of SDS-field resistance of public experimental linesBackground information. An ideal production approach for managing sudden death syndrome (SDS) is the planting of resistant cultivars. Development of soybean resistant cultivars is difficult and time consuming, since SDS genetic resistance is determined by numerous genes, each and every one interacting with the production environment. The number of SDS-resistant cultivars is presently limited. A group of soybean breeders already working on developing SDS resistant germplasm at different institutions was brought together to this project. (2) Project Title: Enhancing disease resistance through biotechnologyPrincipal Investigators: Tom Clemente (University of Nebraska-Lincoln, Dept. of Agronomy & Horticulture, N308 Beadle Center, Lincoln, NE 68588-0665) e-mail: [email protected] phone: 402-472-1428 fax: 402-472-3139Budget Amount & Project Year: $149, 445 / 2014-2015Statement of Objectives:Our team is designing genetic constructs under control of two different constitutive promoters elements that will express two distinct types of interfering RNAs, small interfering RNAs (siRNAs) or microRNAs (miRNAs). Our approach, first utilizes a developed throughput screen to identify additional target genes in the aphid and two, prioritize these targets gene, coupled with appropriate promoter elements for whole plant transformations. This transdisciplinary approach incorporates expertise in entomology, plant pathology and biotechnology uniquely positions us to address this challenging pest of soybean. Towards this effort we are utilizing a high throughput screen to identify additional targets for silencing in aphids as a means to perturb the insects life cycle, and two, producing transgenic soybean events and subsequently phenotyping T2 populations for resistance.(3) Project Title: Acceleration of Soybean Yield and Composition Improvement through Genomic SelectionPrinciple Investigator and Co-PIs: Brian Diers, Matt Hudson, Pat Brown, Randall Nelson, Katy Martin Rainey, Bill Beavis, Asheesh Singh, George Graef, Jim Specht, and Aaron LorenzBudget Amount and Project Year: Year 1, $354,328Brief Statement of Objectives:The overall objective of this project is to use results from the large, USB funded SoyNAM project to predict the performance of new experimental lines and to test whether these predictions result in the selection of better lines than traditional breeding methods. If these new methods are successful, this will increase the rate of genetic gain in breeding programs. Below are the specific project objectives. The first objective is to test genomic selection in breeding populations. This first step is to use the dataset from the SoyNAM project to optimize methods for using genetic markers to predict yield, protein concentration, and maturity of soybean lines (this is called genomic prediction and when plants or lines are selected with this method, it is call genomic selection). In this objective, predictions for the traits can be made and compared to trait data that is available. The second step is to conduct a breeding experiment using the optimized genomic selection approaches in populations of breeding lines developed by each cooperating breeder. Within each population, lines selected using genomic selection and traditional approaches will be compared to determine which method was the most successful. The second objective is to use of ge
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt5(11) Project Title: Developing an Integrated Management and Communication Plan for Soybean Sudden Death SyndromePrinciple Investigator: Daren Mueller, [email protected] Amount and Project Year: $164,811, year 2 of project October 1 March 31, 2015Brief Statement of Objectives:The foundational management strategy for sudden death syndrome (SDS) is using resistant cultivars. However, in years such as 2010 and 2014, when environmental conditions are favorable for disease development, it is evident that resistance alone does not provide adequate control or reduce farmer risk sufficiently. Also, SDS continues to move into new areas. Thus, the main goal of this project is to investigate management options that will help ensure resistant cultivars will be as effective as possible thereby reducing risk as well as providing farmers with maximum economic return on their investment even in unusually conducive SDS conditions. Objective 1. Evaluate if soybean root health can be improved to reduce SDS or be used as an indicator of SDS risk.Objective 2. Determine how shifts in soybean production practices affect the risk of SDS development.Objective 3. Communicate research results with farmers, agribusinesses.Examined the effect of glyphosate on SDS. Study has been published in Plant Disease. Study of effect of interaction between herbicide and seed treatment on SDS is ongoing. We collected and analyzed the first year data. Completed a multi-lab study evaluating performance of six qPCR assays developed for F. virguliforme. The manuscript was submitted for publication to Phytopathology. In this study, we compared the strengths and weakness of all six assays under different research facilities in terms of their specificity, sensitivity, and consistency and also identified an effective protocol for better diagnosis and quantify SDS pathogen. To summarize, assays differed in their performances and also the performance of the same assay varied among the laboratories. An assay developed in Chilvers lab showed the highest sensitivity and the second highest specificity, and thus is suggested as the most useful qPCR assay for F. virguliforme. This assay is currently being used for quantifying F. virguliforme population in root and soil in other objectives. Identified seed treatments to reduce SDS foliar symptoms. We completed a study evaluating planting date and seed treatment effect on SDS development. Manuscripts are being written to peer-reviewed journals. To summarize, ILeVO seed treatment reduced disease severity and increased yield nearly in all plantings and cultivars, with a maximum yield response up to 21% (Roland Iowa). Effect of planting date on foliar SDS symptoms was inconclusive. Although Mid-June plantings did not have higher disease than early plantings it yielded lower grain up to 19 bu/A compared to early May plantings.Evaluated different fungicide products and application methods to see if any would complement cultivar resistance Manuscript is being written for publication in peer-reviewed journal. We are continuing this study in 2015 replacing some products and foliar applications with new chemical and biological products. From this study, the main conclusion was that ILeVO seed treatment and Luna Privilege in-furrow were effective at reducing SDS severity in many different environments compared to the control. Foliar applications of any chemicals had no effect on SDS. Collected SCN, SDS and yield data from all participating states and data analysis is being done. We will continue this experiment in 2015 as well. However, so far we found varieties with Peking source of resistance for SCN had lowest SDS in many environments and varieties with no resistance to SDS and SCN had the highest disease. Presented our preliminary research at professional meetings, on Plant Management Network, gave national and international seminars, media interviews, talk in field days and conferences for farmers and also published in state newslet
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt6(15) Project Title: Quantification of viral suppression in SCN populations: nematode virus impact on SCN reproduction and egg viabilityPrinciple Investigator and Co-PIs: Gregory L. Tylka, Iowa State University (PI), Kaustubh Bhalerao and Sadia Bekal, University of Illinois (Co-PIs)Budget Amount and Project Year: $55,000 March 1, 2014 to September 30, 2015 (Year 1) $55,000 October 1, 2015 to September 30, 2016 (Year 2)Brief Statement of Objectives:Heterodera glycines, the soybean cyst nematode (SCN), is the most damaging pathogen of soybean in the North Central Region of the USA. This nematode is particularly problematic because eggs survive in the soil for many years, making this pathogen very difficult to manage. A management strategy that would limit SCN egg hatching would be an effective way to disrupt a critical point in the nematode life cycle. Commonly used nematicides, resistant soybean varieties, and nonhost crops do not kill nematode eggs, but newly discovered SCN viruses reproduce in nematode eggs and lower their viability. The overall goal of this project is to quantify the extent of damage viruses inflict on SCN in laboratory and field experiments, with the hope that these viruses may be deployed as self-replicating, SCN-specific biological pesticides in the future. Specific project objectives are: 1) To quantify the damage to SCN caused by viruses and 2) to determine which viruses cause the most damage to SCN.Brief Statement of Expected Deliverables (max 250 words):Our main goal is to quantify the damage that viruses cause on SCN. We will quantify the damage to SCN in both the field and in laboratory experiments. For the field phase of the project, the first goal will be to identify and locate virus-infected SCN populations. The next step will be to assess the extent of damage to SCN reproduction caused by the viruses. In the laboratory studies, we will utilize inbred SCN populations with differing levels of the viruses or no virus at all. These studies will be ongoing throughout the first year and should establish the level of damage to egg hatch rates and nematode mobility. (16) Project Title: Soybean Aphid Management, Resistance, and Outreach in the North Central RegionBudget Amount and Project Year: Project Year 3 of 3; Budget $693,685Reporting Period: October 1, 2014 to March 31, 2015Brief Statement of Objectives:The purpose of this project is research and outreach on the soybean aphid, including management, resistance breeding, genomic studies, biological control, and a dedicated outreach objective. This project combines the multidisciplinary expertise of 24 scientists in 12 states. This research proposal is organized into five Programs, each with associated projects. The programs are listed here, with progress on various project objectives described below:Integrated Pest ManagementBreeding and Genetic Resistance to Soybean AphidSoybean Aphid BiotypesBiological ControlExtension and OutreachBrief Statement of Expected Deliverables during Reporting Periods:Research on aphid biotypes capable of surviving on resistant soybeansAnalyses of the cost-effectiveness of seed treatmentsPesticide resistance monitoring for soybean aphidResearch on the relationship between soil nutrients and aphid outbreaksSoybean introductions screened for aphid resistance (ongoing each year)High yielding aphid resistant germplasm with single or stacked genes adapted to maturity groups I to III (Year 3)Resistant/susceptible isolines for use in researchEstablishment of at least one species of aphid parasitoid species in the North Central region, along with information on its impact on soybean aphidLocal and regional extension deliverables (factsheets, field guides, videos, scouting aids, etc.) Capstone event featuring project resultsUpdated content for the NCSRP soybean research website(17) Project Title: Engineered resistance to soybean cyst nematode via induced gene silencing (RNAi)Principle Investigator and Co-PIs: Harold Trick (Project
IRS990ScheduleO/SupplementalInformationDetail/ExplanationTxt7(6) Project Title: Identifying High-yield Genotypes in the USDA Soybean Germplasm Collection Principle Investigator and Co-PIs: George Graef, University of Nebraska ([email protected]), Kent Eskridge (Statistics, UNL), Randy Nelson (USDA, ARS, Illinois), Brian Diers (University of Illinois), Danny Singh (Iowa State University), Aaron Lorenz and Jim Orf (University of Minnesota), Andrew Scaboo (University of Missouri). Budget Amount and Project Year: $64,500, Year 1 of 3 Brief Statement of Objectives (max 250 words): The overall objective is to identify the best soybean lines in the USDA collection that will increase soybean yields in the north central region. This research will develop ways to efficiently and effectively sample the over 17,000 introduced soybean accessions and identify the best ones to improve yield and quality in US commercial soybean varieties. Less than 20 PIs make up more than 86% of the parentage of modern US soybean cultivars. Effective use of the other 16,980 accessions becomes a sampling issue. So our approach makes use of the 50K SNP genotype information available on all accessions in the collection to evaluate differences among sampling methods related to genetic diversity, yield, and ability to identify genomic regions related to yield in this vast resource that we have available. We used three sampling methods a super saturated design (SSD), cluster method (CLU) and random selection (RAN) -- to choose PI accessions based on the 50K SNP genotype information. The SSD maximizes differences among all entries in the group, so our expectation is that the lines in the SSD group will have greater genetic variation, and a larger variance for yield and other traits that we measure in our evaluations. The ultimate end goal is to facilitate development of high-yielding soybean cultivars for producers by making efficient use of these genetic resources.(7) Project Title: Characterization and Enhancement of Soybean Genetic Resources for Soilborne Disease ResistancePrinciple Investigator and Co-PIs: (PIs) James Kurle, Xianjin Ma, (Co-PIs) Jim Orf, Nevin Young, Kate Rainey.Amount and Project Year: $186,500 (Year 1 of 3)Brief Statement of Objectives (max 250 words):Obj. 1.Evaluate of soybean germplasm for resistance or partial resistance to Phytophthora sojae, Pythium irregulare, P. ultimum, and Fusarium graminearum (Kurle & Orf)Obj. 2.Identify of QTLs underlying resistance to P. sojae, F. graminearum, P. irregulare, and P. ultimum by association mapping (Kurle & Young)Obj. 3.Fine mapping, isolation, and functional verification of two uncharacterized Rps genes conferring resistance to P. sojae (Ma&Rainey)Obj. 4.Develop highly adapted soybean cultivars or experimental lines with major resistance QTLs and Rps genes by marker-assisted selection (Rainey & Orf)Brief Statement of Expected Deliverables (max 250 words):Obj. 1. Relate new QTLs/genes to resistance and partial resistance to P. sojae, P. ultimum, F. graminearum identified in early maturity lines.Obj. 2. Initial results of statistical analysis and association mapping for P. sojae. Obj. 3. Fine mapping of RpsUN2 to a 64-kb region within 430 kb previously associated with marker for this gene.Obj. 4. Introgression of RpsUN1 and RpsUN2 to elite breeding lines developed by Purdue.(8) Project Title: Development of a rapid SCN virulence testPrinciple Investigator and Co-PIs:Lead PI: Kris Lambert, [email protected]: Khalid Meksem, [email protected]: Silvia Cianzio, [email protected] Amount and Project Year: $ 64,000 year 1 of 2Brief Statement of Objectives (max 250 words):This project has the aim of developing an inexpensive, quantitative, DNA-based virulence test based upon the use of recently identified nematode virulence genes, that will take only hours to complete. This project has two main goals:1) Identify new SCN resistance gene combinations focusing on soybean resistance conferred by the Rhg4. 2) Test SCN virulence gene candidates for their abilit
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IRS990ScheduleO/SupplementalInformationDetail/FormAndLineReferenceDesc6Program Descriptions (15) through (19)
IRS990ScheduleO/SupplementalInformationDetail/FormAndLineReferenceDesc7Program Descriptions (6) through (10)
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Filings

Balance SheetOperations
YearAssetsLiabilitiesNet AssetsRevenueExpensesNet Income
2025Detailed filing. Detailed filing data is available for this year.$2.33$0.00$2.33$5.57$4.64$0.94
2024Detailed filing. Detailed filing data is available for this year.$1.39$0.00$1.39$5.63$5.49$0.14
2023Detailed filing. Detailed filing data is available for this year.$1.25$0.00$1.25$4.74$5.50$0.76
2022Detailed filing. Detailed filing data is available for this year.$2.01$0.00$2.01$3.79$3.73$0.06
2021Detailed filing. Detailed filing data is available for this year.$1.95$0.00$1.95$3.29$2.84$0.45
2020Detailed filing. Detailed filing data is available for this year.$1.50$0.00$1.50$4.18$4.77$0.59
2019Detailed filing. Detailed filing data is available for this year.$2.09$0.00$2.09$3.71$3.85$0.14
2018Detailed filing. Detailed filing data is available for this year.$2.23$0.00$2.23$3.28$4.07$0.79
2017Detailed filing. Detailed filing data is available for this year.$3.05$1.58$1.48$3.28$4.10$0.82
2016Detailed filing. Detailed filing data is available for this year.$4.02$1.73$2.29$3.63$4.80$1.16
2015Detailed filing. Detailed filing data is available for this year.$4.61$1.15$3.46$3.18$0.21$2.97
2014Detailed filing. Detailed filing data is available for this year.$3.09$2.60$0.48$2.86$3.25$0.40
2013Facts available. Structured filing facts are available, but richer extracted sections are limited.$2.76$1.87$0.88$2.94
2012Facts available. Structured filing facts are available, but richer extracted sections are limited.$3.16$2.33$0.83$2.96
2011Facts available. Structured filing facts are available, but richer extracted sections are limited.$3.43$3.09$0.34$3.54
2010Facts available. Structured filing facts are available, but richer extracted sections are limited.$2.07$1.91$0.17$2.93