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Assessing Explanatory Factors For Variation In On-Farm Irrigation In Us Maize-Soybean Systems, Katherine E.B. Gibson, Haishun S. Yang, Trenton E. Franz, Dean E. Eisenhauer, John B. Gates, Paolo Nasta, Bhupinder S. Farmaha, Patricio Grassini
Assessing Explanatory Factors For Variation In On-Farm Irrigation In Us Maize-Soybean Systems, Katherine E.B. Gibson, Haishun S. Yang, Trenton E. Franz, Dean E. Eisenhauer, John B. Gates, Paolo Nasta, Bhupinder S. Farmaha, Patricio Grassini
Department of Agronomy and Horticulture: Faculty Publications
Irrigation exhibits large variation across producer fields, even within same region and year. A knowledge gap exists relative to factors that explain this variation, in part due to lack of availability of high-quality irrigation data from multiple field-years. This study assessed sources of variation in irrigation using a large database collected during 9 years (2005–2013) from ca. 1400 maize and soybean producer fields in Nebraska, central USA (total of 12,750 field-year observations). The study area is representative of ca. 4.5 million ha of irrigated land sown with maize and soybean. Influence of biophysical (weather, soil, and crop type) and behavioral …
Annual Summary Of Weather Data For Parsons – 2017, M. Knapp, L. W. Lomas
Annual Summary Of Weather Data For Parsons – 2017, M. Knapp, L. W. Lomas
Kansas Agricultural Experiment Station Research Reports
Weather Data for Parsons – 2017
Precipitation Data, M. Knapp
Precipitation Data, M. Knapp
Kansas Agricultural Experiment Station Research Reports
Precipitation for the 2016-2017 growing seasons for experiment stations in Kansas.
Field Station Weather Reports, E. A. Adee, M. C. Knapp
Field Station Weather Reports, E. A. Adee, M. C. Knapp
Kansas Agricultural Experiment Station Research Reports
Summary of weather for research locations for the 2018 Field report.
The research program at the Kansas State University East Central Kansas Experiment Field is designed to keep area crop producers abreast of technological advances in agronomic agriculture. Specific objectives are to (1) identify top performing varieties and hybrids of wheat, corn, soybean, and grain sorghum; (2) establish the amount of tillage and crop residue cover needed for optimum crop production; (3) evaluate weed and disease control practices using chemical, no chemical, and combination methods; and (4) test fertilizer rates, timing, and application methods for agronomic proficiency and environmental stewardship. …