Abstract
AbstractA soybean yield prediction equation was developed by fitting a regression model that included the variables lime, molybdenum, PK fertilizer, soil pH, soil phosphorus, soil potassium, and soybean yields at 5 sites over periods of 2 to 5 years for a total of 14 location‐years. A total of 352 yield observations with their associated lime‐fertilizer‐soil test levels were used. The regression analysis is described and the statistical significance of parameters in the regression model was measured.The predicted optimum soil levels of pH, P, and K for maximum yields were determined. One set of isoquants was developed showing various combinations of soil pH values and tons of agricultural limestone required for selected yield levels; a second set was developed showing various combinations of soil P and K.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
