Australian Journal of Experimental Agriculture · 1993 · 53 citations · 0 references
AgricultureCrop SciencesSoil SciencesSoil ChemistrySoil FertilitySoil ScienceNutrient AvailabilityPlant-soil Nutrient InteractionsSoil Chemical PropertiesSoil Nutrient AvailabilitySoil PhSoil-plant Nutrient RelationsAgricultural Lime ApplicationCorrelationLime Application RatesLime Effects On Nutrient AvailabilityLime Requirement DeterminationLime Requirement EstimationLiming Effects On Nutrient AvailabilitySoil Ph Effects On Nutrient Availability
Lime requirement curves based on relative yield and pH data for 4 soil types were derived to estimate the amount of lime required to reach maximum yield for wheat, triticale, barley, and canola. Simple equations expressing lime requirement as a function of soil pH accounted for >90% of the variation in applied lime on 3 soil types (red brown earth, red podsolic, podsolised red earth). When aluminium and manganese (0.01 mol CaCl2/L extracted) were included in these equations, either individually or together, they did not improve the relationship significantly for these 3 sites; however, manganese significantly improved the predictability of lime for solodic soil. A comparison of this model with a laboratory-based model showed good correlation for 3 soils (red brown earth, red podsolic, podsolised red earth), but the laboratory method underestimated the field lime requirement of solodic soil.