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United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
- Keyword
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- Switchgrass (2)
- Agriculture (1)
- Bioeconomy (1)
- Bioenergy (1)
- Copy number variant (1)
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- Corn (1)
- Curve number (CN) (1)
- Exome (1)
- Insect resistance management (1)
- Non-point source pollution (1)
- Panicum virgatum (1)
- Polyploidy (1)
- Presence/absence variant (1)
- Refuge strategy (1)
- Saturation excess (1)
- Soil organic carbon (1)
- Transgenic crops (1)
- Variable source area (VSA) (1)
- Water quality (1)
- Watershed model (1)
Articles 1 - 4 of 4
Full-Text Articles in Agriculture
Perennializing Marginal Croplands: Going Back To The Future To Mitigate Climate Change With Resilient Biobased Feedstocks, Salvador Ramirez Ii, Marty R. Schmer, Virginia L. Jin, Robert B. Mitchell, Catherine E. Stewart, Jay Parsons, Daren D. Redfearn, John J. Quinn, Gary E. Varvel, Kenneth P. Vogel, Ronald F. Follett
Perennializing Marginal Croplands: Going Back To The Future To Mitigate Climate Change With Resilient Biobased Feedstocks, Salvador Ramirez Ii, Marty R. Schmer, Virginia L. Jin, Robert B. Mitchell, Catherine E. Stewart, Jay Parsons, Daren D. Redfearn, John J. Quinn, Gary E. Varvel, Kenneth P. Vogel, Ronald F. Follett
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Managing annual row crops on marginally productive croplands can be environmentally unsustainable and result in variable economic returns. Incorporating perennial bioenergy feedstocks into marginally productive cropland can engender ecosystem services and enhance climate resiliency while also diversifying farm incomes. We use one of the oldest bioenergy-specific field experiments in North America to evaluate economically and environmentally sustainable management practices for growing perennial grasses on marginal cropland. This long-term field trial called 9804 was established in 1998 in eastern Nebraska and compared the productivity and sustainability of corn (Zea mays L.)—both corn grain and corn stover—and switchgrass (Panicum virgatum …
Effects Of Refuges On The Evolution Of Resistance To Transgenic Corn By The Western Corn Rootworm, Diabrotica Virgifera Virgifera Leconte, Jennifer Deitloff, Mike W. Dunbar, David A. Ingber, Bruce E. Hibbard, Aaron J. Gassmann
Effects Of Refuges On The Evolution Of Resistance To Transgenic Corn By The Western Corn Rootworm, Diabrotica Virgifera Virgifera Leconte, Jennifer Deitloff, Mike W. Dunbar, David A. Ingber, Bruce E. Hibbard, Aaron J. Gassmann
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
BACKGROUND: Diabrotica virgifera virgifera LeConte is a major pest of corn and causes over a billion dollars of economic loss annually through yield reductions and management costs. Corn producing toxins derived from Bacillus thuringiensis (Bt) has been developed to help manageD. v. virgifera.However, previous studies have demonstrated the ability of this species to evolve resistance to Bt toxins in both laboratory and field settings.
RESULTS: We used an experimental evolution approach to test the refuge strategies for delaying resistance of D. v. virgifera to corn producing Bt toxin Cry34/35Ab1. In the absence of refuges, D. v. virgifera developed resistance to …
Nucleotide Polymorphism And Copy Number Variant Detection Using Exome Capture And Next-Generation Sequencing In The Polyploid Grass Panicum Virgatum, Joseph Evans, Jeongwoon Kim, Kevin L. Childs, Briaenne Vaillancourt, Emily Crisovan, Aruna Nandety, Daniel J. Gerhardt, Todd A. Richmond, Jeffery A. Jeddeloh, Shawn M. Kaeppler, Michael D. Casler, C Robin Buell
Nucleotide Polymorphism And Copy Number Variant Detection Using Exome Capture And Next-Generation Sequencing In The Polyploid Grass Panicum Virgatum, Joseph Evans, Jeongwoon Kim, Kevin L. Childs, Briaenne Vaillancourt, Emily Crisovan, Aruna Nandety, Daniel J. Gerhardt, Todd A. Richmond, Jeffery A. Jeddeloh, Shawn M. Kaeppler, Michael D. Casler, C Robin Buell
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Switchgrass (Panicum virgatum) is a polyploid, outcrossing grass species native to North America and has recently been recognized as a potential biofuel feedstock crop. Significant phenotypic variation including ploidy is present across the two primary ecotypes of switchgrass, referred to as upland and lowland switchgrass. The tetraploid switchgrass genome is approximately 1400 Mbp, split between two subgenomes, with significant repetitive sequence content limiting the efficiency of re-sequencing approaches for determining genome diversity. To characterize genetic diversity in upland and lowland switchgrass as a first step in linking genotype to phenotype, we designed an exome capture probe set based on transcript …
Predicting Phosphorus Dynamics In Complex Terrains Using A Variable Source Area Hydrology Model, Amy S. Collick, Daniel R. Fuka, Peter J.A. Kleinman, Anthony R. Buda, Jennifer L. Weld, Mike J. White, Tamie L. Veith, Ray B. Bryant, Carl H. Bolster, Zachary M. Easton
Predicting Phosphorus Dynamics In Complex Terrains Using A Variable Source Area Hydrology Model, Amy S. Collick, Daniel R. Fuka, Peter J.A. Kleinman, Anthony R. Buda, Jennifer L. Weld, Mike J. White, Tamie L. Veith, Ray B. Bryant, Carl H. Bolster, Zachary M. Easton
United States Department of Agriculture-Agricultural Research Service / University of Nebraska-Lincoln: Faculty Publications
Phosphorus (P) loss from agricultural watersheds has long been a critical water quality problem, the control of which has been the focus of considerable research and investment. Preventing P loss depends on accurately representing the hydrological and chemical processes governing P mobilization and transport. The Soil and Water Assessment Tool (SWAT) is a watershed model commonly used to predict run-off and non-point source pollution transport. SWAT simulates run-off employing either the curve number (CN) or the Green and Ampt methods, both assume infiltration-excess run-off, although shallow soils underlain by a restricting layer commonly generate saturation-excess run-off from variable source areas …