Login | DPI Staff queries on depositing or searching to era.daf.qld.gov.au

Modelling nutrient uptake: A possible indicator of phosphorus deficiency

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Mendham, D.S., Smethurst, P.J., Moody, P.W. and Aitken, R.L. (1997) Modelling nutrient uptake: A possible indicator of phosphorus deficiency. Australian Journal of Soil Research, 35 (2). pp. 313-326. ISSN 0004-9573

[img]
Preview
PDF
388kB

Article Link: https://doi.org/10.1071/S96046

Abstract

An understanding of the processes controlling soil nutrient supply and plant uptake has led to process-based models that can predict nutrient uptake and the concentration gradient that develops at the root surface. By using this information, it may be possible to develop an indicator of soil phosphorus status based on the predicted uptake and/or concentration of phosphorus (P) at the root surface. To identify the potential for such a test, the relationships between model output and observed plant growth were examined using data from a published experiment. The experiment was initially designed to investigate the relationship between common indices of soil-available P and the growth of maize (Zea mays) in 26 surface soils from Queensland. There was a high correlation between observed and predicted P uptake, and between relative dry matter yield and predicted P uptake. The predicted concentration of P at the root surface was also highly correlated with P uptake and dry weight increase. It is hypothesised that the short growth period (25 days) was responsible for the high correlation between P uptake and measured soil solution P. The hypothesis that a predicted concentration of P at the root surface or predicted P uptake may be valuable indicators of P deficiency in the longer term still remains to be tested.

Item Type:Article
Keywords:soil solution, phosphorus, phosphorus uptake, phosphorus testing
Subjects:Science > Statistics > Simulation modelling
Agriculture > Agriculture (General) > Soils. Soil science
Live Archive:26 Mar 2024 01:32
Last Modified:26 Mar 2024 01:32

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics