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Effect of Selected Soil Fertility Parameters on Soybean Yields 1
Author(s) -
Walker W. M.,
Long O. H.
Publication year - 1966
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj1966.00021962005800040012x
Subject(s) - lime , fertilizer , soil fertility , phosphorus , yield (engineering) , regression analysis , agronomy , soil test , soil ph , mathematics , environmental science , linear regression , chemistry , soil science , soil water , statistics , geology , biology , paleontology , materials science , organic chemistry , metallurgy
A 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.