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Articles 1 - 12 of 12
Full-Text Articles in Life Sciences
Arkansas Soybean Performance Tests 2010, R. D. Bond, D. G. Dombek, J. A. Still, R. M. Pryor
Arkansas Soybean Performance Tests 2010, R. D. Bond, D. G. Dombek, J. A. Still, R. M. Pryor
Arkansas Agricultural Experiment Station Research Series
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas Division of Agriculture Arkansas Crop Variety Improvement Program.
Arkansas Corn And Grain Sorghum Performance Tests 2010, R. D. Bond, D. G. Dombek, J. A. Still, R. M. Pryor
Arkansas Corn And Grain Sorghum Performance Tests 2010, R. D. Bond, D. G. Dombek, J. A. Still, R. M. Pryor
Arkansas Agricultural Experiment Station Research Series
Corn and grain sorghum performance tests are conducted each year in Arkansas by the University of Arkansas Division of Agriculture. The tests provide information to companies marketing seed within the state and aid the Arkansas Cooperative Extension Service in formulating recommendations for producers.
Arkansas Wheat Cultivar Performance Tests 2009-2010, J. T. Kelly, R. G. Miller, R. D. Bond, E. A. Milus, R. K. Bacon
Arkansas Wheat Cultivar Performance Tests 2009-2010, J. T. Kelly, R. G. Miller, R. D. Bond, E. A. Milus, R. K. Bacon
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.
Summaries Of Arkansas Cotton Research 2009, Derrick M. Oosterhuis
Summaries Of Arkansas Cotton Research 2009, Derrick M. Oosterhuis
Arkansas Agricultural Experiment Station Research Series
No abstract provided.
B. R. Wells Rice Research Studies 2009, R. J. Norman, K. A. K. Moldenhauer
B. R. Wells Rice Research Studies 2009, R. J. Norman, K. A. K. Moldenhauer
Arkansas Agricultural Experiment Station Research Series
No abstract provided.
Behavioural Display Systems Across Nine Anolis Lizard Species: Sexual Dimorphisms In Structure And Function, Michele A. Johnson, J. Wade
Behavioural Display Systems Across Nine Anolis Lizard Species: Sexual Dimorphisms In Structure And Function, Michele A. Johnson, J. Wade
Biology Faculty Research
Relationships between structure and function are a primary focus in biology, yet they are most often considered within individual species. Sexually dimorphic communication behaviours and the morphology of associated structures can vary widely, even among closely related species, and these traits provide an ideal opportunity to investigate the evolution of structure-function patterns. Using nine Anolis lizard species, we addressed a series of questions regarding sex differences in and the evolution of relationships between extension of the throat fan (dewlap) and morphology of the muscles and cartilage controlling it. The main results indicated that within species, males displayed the dewlap more …
Arkansas Turfgrass Report 2009, Douglas Karcher, Aaron Patton, Michael Richardson
Arkansas Turfgrass Report 2009, Douglas Karcher, Aaron Patton, Michael Richardson
Arkansas Agricultural Experiment Station Research Series
No abstract provided.
Wayne E. Sabbe Arkansas Soil Fertility Studies 2009, Nathan A. Slaton
Wayne E. Sabbe Arkansas Soil Fertility Studies 2009, Nathan A. Slaton
Arkansas Agricultural Experiment Station Research Series
Rapid technological changes in crop management and production require that the research efforts also be presented in an expeditious manner. The contributions of soil fertility and fertilizers are major production factors in all Arkansas crops. The studies described within will allow producers to compare their practices with the university’s research efforts.
Arkansas Cotton Variety Test 2009, Fred M. Bourland, A. B. Beach, D. P. Roberts Jr.
Arkansas Cotton Variety Test 2009, Fred M. Bourland, A. B. Beach, D. P. Roberts Jr.
Arkansas Agricultural Experiment Station Research Series
The primary goal of the Arkansas Cotton Variety Test is to provide unbiased data regarding the agronomic performance of cotton varieties and advanced breeding lines in the major cotton-growing areas of Arkansas. This information helps seed companies establish marketing strategies and assists producers in choosing varieties to plant.
Marketing Options For Grapes And Grape Products, Pamela Brady, Michael Thomsen, Justin R. Morris
Marketing Options For Grapes And Grape Products, Pamela Brady, Michael Thomsen, Justin R. Morris
Research Reports and Research Bulletins
Many owners of small- and medium-size farms in Arkansas and across the U.S. have begun to explore the potential of juice and wine grapes as an alternative crop to increase the profitability and stability of their farming operations. Grapes are unique in that they are not only well-suited for marketing through traditional commercial channels but also are popular in direct marketing venues such as produce stands, farmers markets, community sponsored agricultural ventures, and pick-your-own operations. This publication provides an overview of the various types of market channels available for grape growers and explores their potential as outlets for regional grape …
Arkansas Soybean Performance Tests 2009, D. G. Dombeck, R. D. Bond, I. L. Eldridge, R. M. Pryor
Arkansas Soybean Performance Tests 2009, D. G. Dombeck, R. D. Bond, I. L. Eldridge, R. M. Pryor
Arkansas Agricultural Experiment Station Research Series
Soybean variety and strain performance tests are conducted each year in Arkansas by the University of Arkansas Division of Agriculture Arkansas Crop Variety Improvement Program. The tests provide information to companies developing varieties and/or marketing seed within the state, and aid the Arkansas Cooperative Extension Service in formulating variety recommendations for soybean producers.
Stochastic Trends In Crop Yield Density Estimation, David I. Maradiaga
Stochastic Trends In Crop Yield Density Estimation, David I. Maradiaga
LSU Master's Theses
The search for improved methods of estimating crop yield density functions has been a theme of recurrent research interest in agricultural economics. Crop yield density functions are the statistical instrument that generates probability estimates of yield risk, and risk is an important decision variable in production agriculture. Recent research in crop yield density estimation suggests that yield probability estimates can be sensitive to the way yield data are filtered, and if true, then the search for an “adequate filter” is warranted. Such a quest is pursued in this study. It is proposed that unit-root tests can be used to identify …