The S status of 49 Wisconsin soils was evaluated in field studies using alfalfa (Medicago sativa) as the test crop. The effectiveness of six soil S extractants for predicting yield and S uptake response to applied S were evaluated by means of correlation analyses. The best extractant, considering all dependent variables and the S range, mean and standard deviation for each procedure, was 2N HOAc containing 500 ppm P as Ca(H2PO4)2 · H2O [Ca(H2PO4)2‐HOAc]. The correlation between extractable S and response to applied S was not improved by inclusion of percent organic matter, percent sand, or subsoil SO4‐S in the regression equation. However, inclusion of soil pH with extractable S did significantly improve the prediction of S response.The best equation for prediction of yield response to applied S in the field was: Yield response (metric tons/ha) = 50.81 − 7.22 pH − 8.19 S + 1.171 (pH × S) + 0.167 (S)2 − 0.00341 (pH × S)2 where S is the ppm of S extracted with Ca‐(H2PO4)2‐HOAc. Significant response to applied S would be expected on soils having a calculated yield response of 0.40 metric tons/ha or greater when extractable S is between 6 and 10 ppm S. Soils testing less than 6 ppm would be expected to respond and those testing greater than 10 ppm S would not be expected to respond to application of S, regardless of the calculated response value. Use of the regression equation and the limits of 6 and 10 ppm S resulted in correct prediction of S response at 77.6% of the field sites.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.