Modelling and prediction of soil water contents at field capacity and permanent wilting point of dryland cropping soils

Soil Research

Volumn 49, Issue 5, 2011, Pages 389-407

  Rab, M A ^a   Chandra, S ^a   Fisher, P D ^a   Robinson, N J ^a   Kitching, M ^a   Aumann, C D ^a   Imhof, M ^a  

^a DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

Author keywords

mixed effects regression; nested sampling design; plant available water capacity; PTFs; residual maximum likelihood; soil texture; soil type; soil water retention

Indexed keywords

MIXED EFFECTS; NESTED SAMPLING DESIGN; PLANT-AVAILABLE WATER CAPACITY; PTFS; RESIDUAL MAXIMUM LIKELIHOOD; SOIL TEXTURE; SOIL TYPE; SOIL WATER RETENTION;

FORECASTING; LINEAR REGRESSION; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; PARTICLE SIZE; PUBLISHING; SILT; SOIL MOISTURE; TEXTURES;

GEOLOGIC MODELS;

AGRICULTURAL SOIL; ARTIFICIAL NEURAL NETWORK; BIOPHYSICS; CLIMATE CONDITIONS; DRYLAND FARMING; ERROR ANALYSIS; FIELD CAPACITY; GEOMORPHOLOGY; MAXIMUM LIKELIHOOD ANALYSIS; NUMERICAL MODEL; PARTICLE SIZE; PEDOTRANSFER FUNCTION; PREDICTION; REGRESSION ANALYSIS; SAMPLING; SOIL MOISTURE; SOIL TEXTURE; SOIL TYPE; SOIL WATER; WATER RETENTION; WILTING;

AUSTRALIA; VICTORIA [AUSTRALIA];

EID: 79960377565     PISSN: 1838675X     EISSN: None     Source Type: Journal    
DOI: 10.1071/SR10160     Document Type: Article

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