Attach to Form 990 or Form 990-EZ.
Information about Schedule A (Form 990 or 990-EZ) and its instructions is at www.irs.gov/form990.
| (i)Name of supported organization | (ii) EIN | (iii) Type of organization (described on lines 1- 9 above or IRC section (see instructions)) | (iv) Is the organization listed in your governing document? | (v) Amount of monetary support (see instructions) | (vi) Amount of other support (see instructions) | |
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| Yes | No | |||||
| Total | ||||||
Calendar year (or fiscal year beginning in) ![]() |
(a) 2010 | (b) 2011 | (c) 2012 | (d) 2013 | (e) 2014 | (f) Total | |
|---|---|---|---|---|---|---|---|
| 1 | Gifts, grants, contributions, and membership fees received. (Do not include any "unusual grants.") .... | 3,704,758 | 3,453,345 | 2,989,502 | 2,855,813 | 3,172,734 | 16,176,152 |
| 2 | Tax revenues levied for the organization's benefit and either paid to or expended on its behalf....... | 0 | |||||
| 3 | The value of services or facilities furnished by a governmental unit to the organization without charge.. | 0 | |||||
| 4 | Total. Add lines 1 through 3 | 3,704,758 | 3,453,345 | 2,989,502 | 2,855,813 | 3,172,734 | 16,176,152 |
| 5 | The portion of total contributions by each person (other than a governmental unit or publicly supported organization) included on line 1 that exceeds 2% of the amount shown on line 11, column (f).. | 0 | |||||
| 6 | Public support. Subtract line 5 from line 4. | 16,176,152 | |||||
Calendar year
(or fiscal year beginning in) ![]() |
(a) 2010 | (b) 2011 | (c) 2012 | (d) 2013 | (e) 2014 | (f) Total | |
|---|---|---|---|---|---|---|---|
| 7 | Amounts from line 4.. | 3,704,758 | 3,453,345 | 2,989,502 | 2,855,813 | 3,172,734 | 16,176,152 |
| 8 | Gross income from interest, dividends, payments received on securities loans, rents, royalties and income from similar sources... | 2,032 | 339 | 2,452 | 1,359 | 6,812 | 12,994 |
| 9 | Net income from unrelated business activities, whether or not the business is regularly carried on.. | ||||||
| 10 | Other income. Do not include gain or loss from the sale of capital assets (Explain in Part VI.).. | 0 | |||||
| 11 | Total support Add lines 7 through 10. | 16,189,146 | |||||
Calendar year (or fiscal year beginning in) ![]() |
(a) 2010 | (b) 2011 | (c) 2012 | (d) 2013 | (e) 2014 | (f) Total | |
|---|---|---|---|---|---|---|---|
| 1 | Gifts, grants, contributions, and membership fees received. (Do not include any "unusual grants.") . | ||||||
| 2 | Gross receipts from admissions, merchandise sold or services performed, or facilities furnished in any activity that is related to the organization's tax-exempt purpose...... | ||||||
| 3 | Gross receipts from activities that are not an unrelated trade or business under section 513.. | ||||||
| 4 | Tax revenues levied for the organization's benefit and either paid to or expended on its behalf... | ||||||
| 5 | The value of services or facilities furnished by a governmental unit to the organization without charge.. | ||||||
| 6 | Total. Add lines 1 through 5. | ||||||
| 7a | Amounts included on lines 1, 2, and 3 received from disqualified persons... | ||||||
| b | Amounts included on lines 2 and 3 received from other than disqualified persons that exceed the greater of $5,000 or 1% of the amount on line 13 for the year. | ||||||
| c | Add lines 7a and 7b.. | ||||||
| 8 | Public support (Subtract line 7c from line 6.) | ||||||
Calendar year (or fiscal year beginning in) ![]() |
(a) 2010 | (b) 2011 | (c) 2012 | (d) 2013 | (e) 2014 | (f) Total | |
|---|---|---|---|---|---|---|---|
| 9 | Amounts from line 6... | ||||||
| 10a | Gross income from interest, dividends, payments received on securities loans, rents, royalties and income from similar sources.. | ||||||
| b | Unrelated business taxable income (less section 511 taxes) from businesses acquired after June 30, 1975. | ||||||
| c | Add lines 10a and 10b. | ||||||
| 11 | Net income from unrelated business activities not included in line 10b, whether or not the business is regularly carried on. | ||||||
| 12 | Other income. Do not include gain or loss from the sale of capital assets (Explain in Part VI.) .. | ||||||
| 13 | Total support. (Add lines 9, 10c, 11, and 12.).. | ||||||
| Section A - Adjusted Net Income | (A) Prior Year |
(B) Current Year (optional) |
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| 1 | Net short-term capital gain | 1 | ||||
| 2 | Recoveries of prior-year distributions | 2 | ||||
| 3 | Other gross income (see instructions) | 3 | ||||
| 4 | Add lines 1 through 3 | 4 | ||||
| 5 | Depreciation and depletion | 5 | ||||
| 6 | Portion of operating expenses paid or incurred for production or collection of gross income or for management, conservation, or maintenance of property held for production of income (see instructions) | 6 | ||||
| 7 | Other expenses (see instructions) | 7 | ||||
| 8 | Adjusted Net Income (subtract lines 5, 6 and 7 from line 4) | 8 | ||||
| Section B - Minimum Asset Amount | (A) Prior Year |
(B) Current Year (optional) |
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| 1 | Aggregate fair market value of all non-exempt-use assets (see instructions for short tax year or assets held for part of year): | 1 | ||||
| a | Average monthly value of securities | 1a | ||||
| b | Average monthly cash balances | 1b | ||||
| c | Fair market value of other non-exempt-use assets | 1c | ||||
| d | Total (add lines 1a, 1b, and 1c) | 1d | ||||
| e | Discount claimed for blockage or other factors (explain in detail in Part VI): | |||||
| 2 | Acquisition indebtedness applicable to non-exempt use assets | 2 | ||||
| 3 | Subtract line 2 from line 1d | 3 | ||||
| 4 | Cash deemed held for exempt use. Enter 1-1/2% of line 3 (for greater amount, see instructions). | 4 | ||||
| 5 | Net value of non-exempt-use assets (subtract line 4 from line 3) | 5 | ||||
| 6 | Multiply line 5 by .035 | 6 | ||||
| 7 | Recoveries of prior-year distributions | 7 | ||||
| 8 | Minimum Asset Amount (add line 7 to line 6) | 8 | ||||
| Section C - Distributable Amount | Current Year | |||||
| 1 | Adjusted net income for prior year (from Section A, line 8, Column A) | 1 | ||||
| 2 | Enter 85% of line 1 | 2 | ||||
| 3 | Minimum asset amount for prior year (from Section B, line 8, Column A) | 3 | ||||
| 4 | Enter greater of line 2 or line 3 | 4 | ||||
| 5 | Income tax imposed in prior year | 5 | ||||
| 6 | Distributable Amount. Subtract line 5 from line 4, unless subject to emergency temporary reduction (see instructions) | 6 | ||||
| 7 | Check here if the current year is the organization's first as a non-functionally-integrated Type III supporting organization (see instructions) | |||||
| Section D - Distributions | Current Year | |
|---|---|---|
| 1 Amounts paid to supported organizations to accomplish exempt purposes | ||
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2
Amounts paid to perform activity that directly furthers exempt purposes of supported organizations, in excess of income from activity |
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| 3 Administrative expenses paid to accomplish exempt purposes of supported organizations | ||
| 4 Amounts paid to acquire exempt-use assets | ||
| 5 Qualified set-aside amounts (prior IRS approval required) | ||
| 6 Other distributions (describe in Part VI). See instructions | ||
| 7Total annual distributions. Add lines 1 through 6. | ||
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8
Distributions to attentive supported organizations to which the organization is responsive (provide details in Part VI). See instructions |
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| 9 Distributable amount for 2014 from Section C, line 6 | ||
| 10 Line 8 amount divided by Line 9 amount | ||
| Section E - Distribution Allocations (see instructions) |
(i) Excess Distributions |
(ii) Underdistributions Pre-2014 |
(iii) Distributable Amount for 2014 |
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Distributable amount for 2014 from Section C, line 6 |
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2
Underdistributions, if any, for years prior to 2014 (reasonable cause required--see instructions) |
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| 3 Excess distributions carryover, if any, to 2014: | ||||
| a From 2009.......X | ||||
| b From 2010.......X | ||||
| c From 2011.......X | ||||
| d From 2012.......X | ||||
| e From 2013....... | ||||
| fTotal of lines 3a through e | ||||
| g Applied to underdistributions of prior years | ||||
| h Applied to 2014 distributable amount | ||||
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i
Carryover from 2009 not applied (see instructions) |
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| j Remainder. Subtract lines 3g, 3h, and 3i from 3f. | ||||
| 4Distributions for 2014 from Section D, line 7: | ||||
| $ | ||||
| a Applied to underdistributions of prior years | ||||
| b Applied to 2014 distributable amount | ||||
| c Remainder. Subtract lines 4a and 4b from 4. | ||||
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5
Remaining underdistributions for years prior to 2014, if any. Subtract lines 3g and 4a from line 2 (if amount greater than zero, see instructions) |
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6
Remaining underdistributions for 2014. Subtract lines 3h and 4b from line 1 (if amount greater than zero, see instructions) |
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7 Excess distributions carryover to 2015. Add lines 3j and 4c. |
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| 8 Breakdown of line 7: | ||||
| a From 2010.......X | ||||
| b From 2011.......X | ||||
| c From 2012.......X | ||||
| d From 2013....... | ||||
| e From 2014....... | ||||
| Facts And Circumstances Test |
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| Return Reference | Explanation |
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| Software ID: | 14000265 |
| Software Version: | 2014v5.0 |
Attach to Form 990 or 990-EZ.
Information about Schedule O (Form 990 or 990-EZ) and its instructions is at| Return Reference | Explanation |
|---|---|
| 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. |
| 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, xbyang@iastate.eduShrishail Navi, Iowa State University, ssnavi@iastate.edu Carl Alan Bradley, University of Illinois carlbrad@illinois.edu Youfu Zhao, University of Illinois, zhao888@illinois.edu James Kurle, University of Minnesota, kurle001@umn.eduBudget 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, scianzio@iastate.edu. 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: tclemente1@unl.edu 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 genomic data to decide what cross combinations should be made by breeders. We will develop methods for selecting specific combinations of parents for crossing in soybean breeding nurseries. Once these methods are developed, they will be used by breeders to help them decide what cross combinations to make(4) Project Title: Increasing profits through genetic resistance to SDS Principle Investigator and Co-PIs: Brian Diers, Osman Radwan, Glen Hartman, Jason Bond, James Orf, Dechun Wang Budget Amount and Project Year: Year 2, total budget $166,269Brief Statement of Objectives:The overall objective of this research is to increase profits through improving yields with genetic resistance to SDS. The specific objectives of the project are:Objective 1. Map locations on chromosomes of genes that confer resistance to SDS. This mapping is being done in Minnesota and Michigan using two genetic populations in each state.Objective 2. Confirm and deploy SDS resistance genes. This is being done to determine if previously mapped genes are useful in different genetic backgrounds and environments.Objective 3. Identify genes involved in SDS resistance by gene expression profiling soybean roots and leaves. To complete this work, the level of gene expression was estimated for soybean roots and leaves using pairs of soybean lines that differ for SDS resistance genes but are otherwise almost completely identical (these are called near isogenic lines or NILs).(5) Project Title: Exploiting Potential Bio-control Agents to Manage Seedling Diseases of SoybeanLead PI: Ahmad Fakhoury, amfakhou@siu.eduIssue and Objectives: The long-term objective of the proposed research is to characterize the bio-control activity of a collection of fungal species isolated from soybean production fields. The ultimate goal is to use potential bio-control agents to improve the management of soybean diseases caused by pathogens present in the soil such as Fusarium spp., Phytophthora sojae, and Pythium spp. This could be achieved either by introducing these bio-control agents to soybean production fields, and/or by fine-tuning existing management practices to enhance the prevalence and activity of bio-control agents native to production fields. Our specific objectives are:Objective 1.Test the effect of a set of recently identified potential bio-control agents on soil-inhabiting fungal, oomycete, and nematode pathogens of soybeanObjective 2.Assess potential roles of these agents in eliciting defense mechanisms in soybean plants (activity planned for years 2&3 of the project)Objective 3.Test the effect of fungicidal seed treatments on these organismsObjective 4.Follow the effect of commonly used management practices on the distribution and activity of these organisms in the soil (activity planned for years 2&3 of the project) |
| Program Descriptions (11) through (14) | (11) Project Title: Developing an Integrated Management and Communication Plan for Soybean Sudden Death SyndromePrinciple Investigator: Daren Mueller, dsmuelle@iastate.eduBudget 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 newsletter articles, 20+ media releases etc. To communicate with researchers, we also published or are in the process of publishing in peer-reviewed journals. We also had several press releases, including some jointly with NCSRP, based on results from this project (e.g., glyphosate study, ILeVO study).(12) Project Title: Accelerating soybean yield improvement by utilizing yield genes from soybean wild relativesPrinciple Investigator and Co-PIs: Randall Nelson (PI), USDA-ARS, University of Illinois, Jianxin Ma, Purdue University, Matthew Hudson, Patrick Brown and Brian Diers, University of Illinois, Ram Singh, USDA-ARS, Urbana; George Graef, University of Nebraska-Lincoln.Budget Amount and Project Year: $187,387, 2014Brief Statement of Objectives (max 250 words):Our objective is to identify and genetically characterize high-yielding lines derived from the wild relatives of soybean that can be used to infuse unique and highly productive yield genes into new soybean varieties. We have three sub-objectives that will help us achieve this goal. First, using the highest yielding experimental lines derived from crossing Dwight by PI 441001 (G. tomentella), we will genetically map the location of the genes/chromosomal regions responsible for these large yield increases. Secondly, using large populations of the inbred lines derived from crosses of the soybean variety, Williams 82, with the wild soybean accessions PI 483916 and PI 479752, we will precisely map agronomically important genes associated with the major differences between soybean and wild soybean. Finally, we will yield test experimental lines derived from up to eight wild soybean accessions and identify chromosomal regions from the wild soybean parent that are adjacent to (but do not contain) the genes that condition the wild soybean plant type. This will put a priority on identifying those positive genes from wild soybean that were most likely left behind during domestication and will not have been previously used in developing soybean varieties for the North Central region.(13) Project Title: Enhancing soybean yield by genetic improvement of seed number per plant, seed germination and seedling emergence potential under drought conditionsPrincipal Investigator: Sona Pandey, Donald Danforth Plant Science CenterReporting Period: October 1st, 2014 March 30th, 2015 Specific Challenge Addressed: The main objective of this proposal is to evaluate the role and signaling mechanisms of novel, plant-specific G? proteins in seed and pod development and drought/oxidative stress; processes that affect some of the most critical agronomic traits of soybean. This proposal addresses the fundamental challenge of increasing soybean yield under drought conditions by improving seed germination and seedling emergence potential as well as increasing the seed and pod number per plant. Research Goals and Specific Objectives: Our preliminary data show that G-proteins are involved in regulation of processes that directly affect soybean yield: control of seed number and size, nodulation and abiotic stress responses. The goal of this proposal is to evaluate these important traits in transgenic soybean and underlying signaling mechanisms of G-proteins that will help identify the basis for enhanced productivity and reduced yield losses caused by environmental stresses, two of the broad research areas identified by NCSRP. We have identified the following specific objectives to achieve our goals: Objective 1. Generation of transgenic soybean plants over-expressing group III G? using tissue-specific promoters and analysis of its effect on overall yield and drought toleranceObjective 2. Identification of additional effectors of group III G? family genes by genomics-based approaches for future targeted manipulations(14) Project Title: Identifying Producer Priorities for Soybean Insect Pest Management in the North Central Region Principle Investigator and Co-PIs: Project Director: Kelley Tilmon, South Dakota State University Co-PIs: Erin Hodgson and Thelma Heidel-Baker, Iowa State UniversityBudget Amount and Project Year: Project year: 1 of 1Budget: $25,000Reporting Period: October 1, 2014 to March 31, 2015Brief Statement of Objectives:The purpose of this project is to identify soybean producers priorities and needs for future research and outreach on insect pest management in the North Central Region, and to provide outreach information in response to these needs. Producer feedback is a critical component to define research and determine its future direction, to ensure that checkoff funds are invested where they are most needed. Specific objectives were:Conduct a workshop to bring soybean producers and scientists together to share research results and asses future research needs for soybean insect pest management in the North Central RegionConduct additional information-gathering to assess future research needsOrganize a capstone outreach event for soybean producers and other agricultural |
| 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 Leader), Tim Todd and Jiarui Li (Kansas State University), John Finer (The Ohio State University), Wayne Parrott (University of Georgia) and Lila Vodkin and Jack Widholm (University of Illinois); Budget Amount and Project Year: ($168,671)Brief Statement of Objectives: The primary goal of this research project is to establish a new set of biotech traits that have durable resistance to soybean cyst nematode (SCN). Turning off genes by a process known as RNA interference (RNAi) has tremendous potential as a new strategy to increase nematode resistance. Past research with other nematode species has demonstrated the scientific merit of the technique. This project will investigate the opportunities to insert target gene sequences in the SCN that will provide durable genetic materials that will be lethal to SCN populations.The specific objectives of this project are to:Complete the production of stable transgenic soybean plants with traits that can silence specific nematode genes Perform bioassays with the engineered plants to confirm effectiveness of the SCN resistance; and Examine the durability of traits on single and diverse populations of SCN.Brief Statement of Expected Deliverables: It is anticipated this research will result in stable transgenic soybean lines expressing the RNAi constructions and that events with increased levels of SCN resistance will be identified. By the end of the funding cycle we intend to identify specific lines that have broad levels of resistance to several populations or HG types of soybean cyst nematodes. (18) Project Title: Disease Study Group: Focus on New and Emerging Soybean DiseasesPrinciple Investigator and Co-PIs: Kiersten Wise, Purdue University and Daren Mueller, Iowa State University, Loren Giesler, University of Nebraska, Carl Bradley, University of Illinois, Martin Chilvers, Michigan State University, Albert Tenuta, OMAFRA; Project contributor (no-cost): Damon Smith, University of WisconsinBudget Amount and Project Year: Project period 03/01/13 to 02/28/16; Year 2 of 3Total funding: $222,000 ($74,000 per year for 3 years)Brief Statement of Objectives:This project directly benefits soybean farmers in the North Central region by providing current and timely Extension material to aid in the identification and management of emerging diseases, and diseases lacking Extension information. The project improves awareness and stakeholder knowledge of emerging diseases using traditional mechanisms such as fact sheets and bulletins, as well as new technologies such as web-based videos and web content that are downloadable and viewable through new technology such as smartphones and tablet devices.Project objectives: 1. Provide information on emerging soybean diseases at multiple levels of Extension interface (print, web, video, etc.) to reach diverse groups of stakeholders.2. Create a platform to host and brand Extension material developed in conjunction with the North Central Soybean Research Program to facilitate updates and allow users to identify trusted sources of material through this branding partnership.3. Provide current research summaries on emerging diseases to direct and coordinate future research priorities thereby minimizing duplication, maximizing resources and increasing response time.(19) Project Title: Understanding the role of fungicide programs on soybean health and charcoal rot developmentPrinciple Investigator and Co-PIs: Kiersten Wise, Purdue University and Daren Mueller, Iowa State University, Emmanuel Byamukama, South Dakota State University, Martin Chilvers, Michigan State University, Chris Little and Doug Jardine, Kansas State University, Damon Smith, University of WisconsinBudget Amount and Project Year: Project period 03/01/14 to 02/28/16; Year 1 of 2Total funding: $241,105 ($120,552 per year for 2 years)Brief Statement of Objectives:Charcoal rot, caused by Macrophomina phaseolina, is a disease of growing importance in the North Central Region, yet current management options are limited. In addition, this disease is more severe when plants are stressed by heat and dry conditions. New fungicide programs and fungicide products are marketed to reduce plant stress, but these products and programs have not been evaluated to determine their impact on charcoal rot development and yield. The goal of this research is to understand under what conditions fungicides may reduce plant stress and yield loss due to charcoal rot so that we may improve our recommendations to farmers interested in using fungicides to mitigate plant stress and/or to manage charcoal rot.Research objectives:1. Determine efficacy of pre-emergence fungicide applications on M. phaseolinacolonization and soybean yield.2. Evaluate various foliar fungicides applied at different times for efficacy against M. phaseolina to determine optimum foliar fungicide use for charcoal rot management.3. Integrate research findings into NCSRP charcoal rot Extension materials |
| 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 (ggraef1@unl.edu), 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, knlamber@uiuc.eduCo-PI: Khalid Meksem, meksemk@siu.eduCo-PI: Silvia Cianzio, scianzio@iastate.eduBudget 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 ability to predict virulence in field SCN populations. Brief Statement of Expected Deliverables (max 250 words):The main deliverable for this project is a diagnostic test to predict the ability of SCN to grow on soybean plants that are considered resistant. We would not expect any one DNA-based test to predict all forms of SCN virulence, so the main output of this project will be a series of independent tests, verified on field populations of SCN, that collectively predict the SCN virulence phenotype. Also, we expect to generate a set of SCN resistant soybean lines with different combinations of SCN resistance genes. The combination of the two outputs will be a SCN virulence test and a set of SCN resistant plants that if used together will constitute a management strategy that will lower SCN populations in the field.(9) Project Title: Micronutrients for Soybean Production: A Position Paper for the North-Central RegionPrincipal Investigator: Antonio P. Mallarino, Iowa State UniversityBudget Amount and Project Year: Year 1, $66,529Brief Statement of Objectives (max 250 words):Soybean growers in the in the North Central region have been asking many questions concerning possible soybean yield loss due to deficiency of micronutrients. However, few extension publications address this issue based on recent research results, and often have divergent recommendations not clearly related to soil differences across states. Therefore, the goal of this multi-state project is to gather information across key states of the North Central regional and prepare a regional position paper on rational use of micronutrients for soybean production. The specific objectives are:1. Find, analyze, and summarize published and unpublished land-grant university field response-based information about soybean need for micronutrients and the value of both soil and plant tissue analyses in the North Central region.2. Prepare and publish a regional position paper addressing the most important issues concerning use of micronutrients for soybean production in the North Central region.(10) Project Title: Iron Deficiency Chlorosis: Getting to the root of the problemInvestigators/institutions: Phil McClean (Project Leader and Robert Stupar (University of Minnesota). The project leaders E-mail is phillip.mcclean@ndsu.edu Projects Strategic Goal is to develop useful molecular markers that can identify IDC efficient genotypes and use state of the art genomic technologies to identify genes involved in IDC efficiency or inefficiency. The ultimate goal of the research is to isolate candidate genes and develop markers for these genes that will aid the soybean breeder in developing IDC resistant varieties. |
| Software ID: | 14000265 |
| Software Version: | 2014v5.0 |