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Cover Crop Effect On Subsequent Wheat Yield In The Central Great Plains, David C. Nielsen, Drew J. Lyon, Robert K. Higgins, Gary W. Hergert, Johnathon D. Holman, Merle F. Vigil
Cover Crop Effect On Subsequent Wheat Yield In The Central Great Plains, David C. Nielsen, Drew J. Lyon, Robert K. Higgins, Gary W. Hergert, Johnathon D. Holman, Merle F. Vigil
David C. Nielsen
Crop production systems in the water-limited environment of the semiarid central Great Plains may not have potential to profitably use cover crops because of lowered subsequent wheat (Triticum asestivum L.) yields following the cover crop. Mixtures have reportedly shown less yield-reducing effects on subsequent crops than single-species plantings. This study was conducted to determine winter wheat yields following both mixtures and single-species plantings of spring-planted cover crops. The study was conducted at Akron, CO, and Sidney, NE, during the 2012–2013 and 2013–2014 wheat growing seasons under both rainfed and irrigated conditions. Precipitation storage efficiency before wheat planting, wheat water use, …
A Novel Qtl Associated With Dwarf Bunt Resistance In Idaho 444 Winter Wheat, Jianli Chen, Mary J. Guttieri, Junli Zhang, David Hole, Edward Souza, Blair Goates
A Novel Qtl Associated With Dwarf Bunt Resistance In Idaho 444 Winter Wheat, Jianli Chen, Mary J. Guttieri, Junli Zhang, David Hole, Edward Souza, Blair Goates
Green Canyon Environmental Research Area, Logan Utah
Dwarf bunt [Tilletia controversa J.G. Kühn [as ‘contraversa’], in Rabenhorst, Hedwigia 13: 188 (1874)] is a destructive disease of wheat (Triticum aestivum L.) that reduces grain yield and quality. A number of distinct genes conferring resistance to dwarf bunt have been used by breeding programs for nearly 100 years. However, few markers were identified that can be used in selection of dwarf bunt resistance. A recombinant inbred line (RIL) population derived from the bunt-resistant germplasm, Idaho 444 (IDO444), and the susceptible cultivar, Rio Blanco, was evaluated for phenotypic reaction to dwarf bunt inoculation in four trials in …
Arkansas Wheat Cultivar Performance Tests 2015-2016, R. E. Mason, R. G. Miller, D. E. Moon, J. P. Kelley
Arkansas Wheat Cultivar Performance Tests 2015-2016, R. E. Mason, R. G. Miller, D. E. Moon, J. P. Kelley
Arkansas Agricultural Experiment Station Research Series
Wheat cultivar performance tests are conducted each year in Arkansas by the Arkansas Agricultural Experiment Station, Department of Crop, Soil and Environmental Sciences. The tests provide information to companies developing cultivars and/or marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating cultivar recommendations for small-grain producers.
Reducing The Potential For Acrylamide Formation In Wheat Products, Amy Hauver, P. Stephen Baenziger, Mary J. Guttieri
Reducing The Potential For Acrylamide Formation In Wheat Products, Amy Hauver, P. Stephen Baenziger, Mary J. Guttieri
UCARE Research Products
Acrylamide, a chemical formed from free asparagine and reducing sugars during high-temperature cooking via the Maillard reaction (i.e. frying or baking) of high starch foods is deemed ‘probably carcinogenic to humans’ based on its affect in mice. In April of 2002, a group of Swedish researchers reported findings that presented evidence that heat-treated, starch-rich foods contained high levels of acrylamide, later linking the production of acrylamide to the Maillard reaction. A number of other studies have been done to link dietary intake of acrylamide to human cancers and other health effects, although many have had inconclusive results. Nevertheless, the World …
Correlating Bulk Density (With Dockage) And Test Weight (Without Dockage) For Wheat Samples, Rumela Bhadra, Mark E. Casada, Josephine M. Boac, Aaron P. Turner, Sidney A. Thompson, Michael D. Montross, Ronaldo G. Maghirang, Samuel G. Mcneill
Correlating Bulk Density (With Dockage) And Test Weight (Without Dockage) For Wheat Samples, Rumela Bhadra, Mark E. Casada, Josephine M. Boac, Aaron P. Turner, Sidney A. Thompson, Michael D. Montross, Ronaldo G. Maghirang, Samuel G. Mcneill
Biosystems and Agricultural Engineering Faculty Publications
In grain bins, the compaction of stored grain is caused by the overbearing pressure of the bulk material in the bin. To predict the amount of grain in the bin, compaction values must be determined based on the average bulk density (BD) of the stored material. However, BD is determined following the Federal Grain Inspection Service (FGIS) guidelines for measuring test weight (TW), which require that dockage be removed prior to measuring wheat TW. Thus, this creates a problem for predicting grain compaction and conducting inventory studies, because the average BD of the grain in a bin for these calculations …
2015 Kansas Winter Annual Forage Variety Trial, J. D. Holman, T. Roberts, S. Maxwell
2015 Kansas Winter Annual Forage Variety Trial, J. D. Holman, T. Roberts, S. Maxwell
Kansas Agricultural Experiment Station Research Reports
A total of 16 winter annual forage varieties were tested for performance near Garden City, KS, at the Southwest Research-Extension Center in 2014-2015. Winter crops evaluated included wheat, triticale, and cereal rye.
Wheat And Grain Sorghum In Four-Year Rotations, A. Schlegel, J. D. Holman, C. Thompson
Wheat And Grain Sorghum In Four-Year Rotations, A. Schlegel, J. D. Holman, C. Thompson
Kansas Agricultural Experiment Station Research Reports
Research on 4-year crop rotations with wheat and grain sorghum was initiated at the Southwest Research-Extension Center near Tribune, Kansas, in 1996. Rotations were wheat-wheat-sorghum-fallow (WWSF), wheat-sorghum-sorghum-fallow (WSSF), and continuous wheat (WW). Soil water at wheat planting averaged about 9 in. following sorghum, which is about 3 in. more than the average for the second wheat crop in a WWSF rotation. Soil water at sorghum planting was only about 1 in. less for the second sorghum crop compared with sorghum following wheat. Grain yield of recrop wheat averaged about 80% of the yield of wheat following sorghum. Grain yield of …
2015 Crop Performance In Southeast Kansas, Gretchen Sassenrath, Jane Lingenfelser, L. Mengarelli, X. Lin
2015 Crop Performance In Southeast Kansas, Gretchen Sassenrath, Jane Lingenfelser, L. Mengarelli, X. Lin
Kansas Agricultural Experiment Station Research Reports
Crop variety testing determines the production potential of newly released crop cultivars in Southeast Kansas. The genetic potential is moderated by environmental conditions during the growing season as well as soil productive capacity.
Tillage And Nitrogen Placement Effects On Yields In A Short-Season Corn/Wheat/Double-Crop Soybean Rotation, D. W. Sweeney
Tillage And Nitrogen Placement Effects On Yields In A Short-Season Corn/Wheat/Double-Crop Soybean Rotation, D. W. Sweeney
Kansas Agricultural Experiment Station Research Reports
(Abstract only. Link to: http://newprairiepress.org/kaesrr/vol1/iss4/2/) Article is nearly identical toTillage and Nitrogen Placement Effects on Yields in a Short-Season Corn/Wheat/Double-Crop Soybean Rotationpreviously published in Southeast Agricultural Research Center 2015.
Overall in 2014, adding nitrogen (N) improved average wheat yields, but different N placement methods resulted in similar yields. Double-crop soybean yields were unaffected by tillage or the residual from N treatments that were applied to the previous wheat crop.
Fallow Replacement Crop (Cover Crops, Annual Forages, And Short-Season Grain Crops) Effects On Wheat And Grain Sorghum Yields, J. D. Holman, T. Roberts, S. Maxwell
Fallow Replacement Crop (Cover Crops, Annual Forages, And Short-Season Grain Crops) Effects On Wheat And Grain Sorghum Yields, J. D. Holman, T. Roberts, S. Maxwell
Kansas Agricultural Experiment Station Research Reports
Producers are interested in growing cover crops and reducing fallow. Growing a crop during the fallow period would increase profitability if crop benefits exceeded expenses. Benefits of growing a cover crop were shown in high rainfall areas, but limited information is available on growing cover crops in place of fallow in the semiarid Great Plains. A study was done from 2007–2016 that evaluated cover crops, annual forages, and short season grain crops grown in place of fallow. In the first experiment (2007-2012) the rotation was no-till wheat-fallow, and in the second experiment (2012-2016) the rotation was no-till wheat-grain sorghum-fallow. This …
Large-Scale Dryland Cropping Systems, A. Schlegel, L. Haag, D. O'Brien
Large-Scale Dryland Cropping Systems, A. Schlegel, L. Haag, D. O'Brien
Kansas Agricultural Experiment Station Research Reports
This study was conducted from 2008 to 2015 at the Kansas State University Southwest Research-Extension Center near Tribune, Kansas. The crop rotations evaluated were continuous grain sorghum (SS), wheat-fallow (WF), wheat-corn-fallow (WCF), wheat-sorghum-fallow (WSF), wheat-corn-sorghum-fallow (WCSF), and wheat-sorghum-corn-fallow (WSCF). All rotations were grown using no-till practices except for WF, which was grown using reduced-tillage. Precipitation capture efficiency was not greater with more intensive rotations. Wheat yields were not affected by length of rotation. Corn and grain sorghum yields were about 60% greater when following wheat than when following corn or grain sorghum. Grain sorghum yields were almost twice as great …
Impact Of Derived Global Weather Data On Simulated Crop Yields, Justin Van Wart, Patricio Grassini, Kenneth Cassman
Impact Of Derived Global Weather Data On Simulated Crop Yields, Justin Van Wart, Patricio Grassini, Kenneth Cassman
Department of Agronomy and Horticulture: Faculty Publications
Crop simulation models can be used to estimate impact of current and future climates on crop yields and food security, but require long-term historical daily weather data to obtain robust simulations. In many regions where crops are grown, daily weather data are not available. Alternatively, gridded weather databases (GWD) with complete terrestrial coverage are available, typically derived from: (i) global circulation computer models; (ii) interpolated weather station data; or (iii) remotely sensed surface data from satellites. The present study’s objective is to evaluate capacity of GWDs to simulate crop yield potential (Yp) or water-limited yield potential (Yw), which can serve …