Estimates of effective rooting depth for predicting available water capacity of burdekin soils, Queensland

Soil Research ◽  
1989 ◽  
Vol 27 (2) ◽  
pp. 439 ◽  
Author(s):  
DE Baker ◽  
CR Ahern
Keyword(s):  
Electrical Conductivity ◽  
Soil Type ◽  
Field Measurements ◽  
Rooting Depth ◽  
Regression Equations ◽  
Irrigation Area ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Cracking Clays

Estimates of rooting depth are necessary parameters in predicting available water capacity (AWC) of soils. In a recently assembled database for the Burdekin River Irrigation Area, no single criterion, commonly used to estimate rooting depth, was available for all sites. Therefore a number of methods of estimating rooting depth which give interchangeable results were required. This paper compares eight methods of estimating rooting depth within three AWC models and compares the outcome with field determinations. Soil properties used to estimate rooting depth were laboratory-based (two chloride methods, electrical conductivity and pH), morphological (carbonate and mottling) and two fixed depths (0.9 and 1.0 m). For all soils tested, the laboratory-based methods used within one AWC model (based on regression equations by using -1500 kPa water retained) resulted in predicted AWC values not significantly different (P< 0.05) from field measurements. The suitability of mottling was limited to cracking clays and sodic duplex soils and other rooting depth methods had varying applicability depending on soil type. This work shows that a range of rooting depth methods can be used to predict AWC of Burdekin soils. The results should have application to soils of other areas.

Comparison of models for predicting available water capacity of burdekin soils Queensland

Soil Research ◽  
1988 ◽  
Vol 26 (2) ◽  
pp. 409 ◽  
Author(s):  
CR Ahern
Keyword(s):  
Empirical Model ◽  
Practical Implication ◽  
Exchange Capacity ◽  
Rooting Depth ◽  
Water Capacity ◽  
Available Water ◽  
Wide Range ◽  
Available Water Capacity ◽  
The Difference ◽  
Cracking Clays

Various models for predicting profile available water capacity (PAWC) from laboratory measurements were compared with published field values for the same sites. The intention was to choose the best model/s to predict PAWC, by using a database, for a wide range of soils in the Burdekin Irrigation Area, North Queensland. Effective rooting depth for all models was estimated from the chloride profile. It was found that the predictive abilities of all models used were dependent on soil types. A conventional model (ASWC) based on the difference between water retained at -33 and -1500 kPa matric potentials was higher (P < 0.01) than field measured PAWC. An empirical model (PAWC2) based on cation exchange capacity (CEC) and depth was suitable only for cracking clays and sodic duplex soils. Another empirical model (PAWC1) based on -1500 kPa water retained and depth, predicted field PAWC particularly well on cracking clays, sodic duplex and related soils. There were strong indications that the PAWC1 model is also suitable for the better drained, lighter textured soils but there was a shortage of comparable field data to confirm this. The practical implication of these findings was that an analytical database can be used to predict PAWC on many Burdekin soils, providing immediate assistance to those designing irrigation channels and farm layouts.

Estimating Plant-Available Water Capacity for Claypan Landscapes Using Apparent Electrical Conductivity

2007 ◽  
Vol 71 (6) ◽  
pp. 1902-1908 ◽  
Author(s):  
Pingping Jiang ◽  
Stephen H. Anderson ◽  
Newell R. Kitchen ◽  
Kenneth A. Sudduth ◽  
E. John Sadler
Keyword(s):  
Electrical Conductivity ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Plant Available Water ◽  
Apparent Electrical Conductivity

Estimation of the plant available water capacity of a soil profile

Soil Research ◽  
1981 ◽  
Vol 19 (3) ◽  
pp. 197 ◽  
Author(s):  
JA Mullins
Keyword(s):  
Electrical Conductivity ◽  
Soil Profile ◽  
Feature Model ◽  
Alternative Technique ◽  
Dryland Agriculture ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Conductivity Profile ◽  
Plant Available Water

The plant available water capacity (PAWC) was measured for a range of soils (black earths, grey, brown and red clays, krainozems, yellow earths and solodized solonetz/solodics) used for dryland agriculture in the uplands of th,- eastern Darling Downs of Queensland. Using these data, two one-parameter models - one based on the electrical conductivity profile and the other on observable profile features - were derived for estimating the PAWC of the soil profile. The electrical conductivity profile model reliably estimated the PAWC for black earths and grey, brown and red clays. In the case of the deep, black earths, it accounted for 90% of the variation. The observable profile feature model reliably estimated the PAWC for black earths and grey, brown and red clays and in the case of the grey, brown and red clays accounted for 88% of the variation. The models for the solodized solonetz/solodics were not significant. In addition the profile feature model provided estimates of PAWC for the krasnozems (grouped with black earths) and for the yellow earths and solodized solonetz/solodics as a group. An alternative technique for the estimation of PAWC for krasnozems and yellow earths is also presented. The techniques will provide a rapid first appraisal of the PAWC of a soil profile.

Statistical equations for estimating field capacity, wilting point and available water capacity of soils from their saturation percentage

1988 ◽  
Vol 110 (3) ◽  
pp. 515-520 ◽  
Author(s):  
I. S. Dahiya ◽  
D. J. Dahiya ◽  
M. S. Kuhad ◽  
S. P. S. Karwasra
Keyword(s):  
Soil Moisture ◽  
Estimation Error ◽  
Chemical Properties ◽  
Field Capacity ◽  
Regression Equations ◽  
Data Set ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Wilting Point

SummaryStatistical equations were derived for estimating three soil moisture constants, i.e. field capacity (FC), wilting point (WP) and available water capacity (AWC), from soil saturation percentage (SP), which is an easily determinable parameter. The regression equations were evaluated from a data set obtained on 438 soil samples collected from different horizons of 111 profiles of the Indogangetic Plains in northern India, having a wide variation of texture and other physico-chemical properties. The three soil moisture constants were positively correlated with logarithms of SP (r = 0·985 for FC v. In SP, 0·979 for WP v. In SP, and 0·914 for AWC v. In SP). The regression equations were thetested on an independent set of experimental data on 57 samples collected from 14 representative soil profiles of the study area. Values of the three moisture constants of this data set, predicted from the regression equations, were in exceptionally good agreement with the observed values. The mean estimation error (the error of the estimated value relative to the measured value) was only 0·55% for FC, 0·12% for WP and 0·67% for AWC.

scholarly journals Determination of the effects of tillage on the productivity of a sandy loam soil using soil productivity models

2021 ◽  
Vol 67 (No. 3) ◽  
pp. 108-115
Author(s):  
Tanko Bako ◽  
Ezekiel Ambo Mamai ◽  
Istifanus Akila Bardey
Keyword(s):  
Organic Matter ◽  
Iron Oxide ◽  
Bulk Density ◽  
Aluminium Oxide ◽  
Available Phosphorus ◽  
Soil Productivity ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity ◽  
Tillage Methods

Based on the hypothesis that soil properties and productivity components should be affected by different tillage methods, field and laboratory experiments were conducted to study the effects of zero tillage (ZT), one pass of disc plough tillage (P), one pass of disc plough plus one pass of disc harrow tillage (PH) and one pass of disc plough plus two passes of disc harrow tillage (PHH) on the distribution of the bulk density, available water capacity, pH, organic matter, available phosphorus, iron oxide and aluminium oxide at different soil depths, and their effects on the soil productivity. The available water capacity, pH, organic matter and available phosphorus were found to increase with the degree of tillage, while the bulk density, iron oxide and aluminium oxide were found to decrease with the degree of tillage. The results show that the soil productivity index was significantly (P ≤ 0.05) affected by the tillage methods and found to increase with the degree of tillage.

scholarly journals Improvement of soil available water capacity using biopore infiltration hole with compost in a coffee plantation

2021 ◽  
Vol 8 (3) ◽  
pp. 2791-2799
Author(s):  
Atiqah Aulia Hanuf ◽  
Sugeng Prijono ◽  
S Soemarno
Keyword(s):  
Chlorophyll Content ◽  
Soil Depth ◽  
Block Design ◽  
Control Treatment ◽  
Coffee Plantation ◽  
Coffee Tree ◽  
Coffee Pulp ◽  
Water Capacity ◽  
Available Water ◽  
Available Water Capacity

Coffee plantation management has an important role in soil quality in order to increase coffee production. Biopore Infiltration Hole with Compost (BIHC) can increase soil available water capacity. In this study, the goal was to improve soil available water capacity in a coffee plantation with the implementation of the BIHC. This study was conducted at PTPN XII Bangelan, Malang, on March - August 2020. A randomized block design with seven treatments and four replications was used. The BIHC consisted of two-hole depths (30 cm and 60 cm) and two types of compost (goat manure and coffee pulp compost). The soil characteristics observed were water retention (pF) and C-organic at soil depths of 0-20, 20-40, and 40-60 cm. The coffee tree observed were number of leaves and chlorophyll content. Data obtained were subjected to analysis of variance (ANOVA) by the F test and Duncan's Multiple Distance Rate Test (DMRT) at 5% probability, using SPSS program. Results of the study showed that BIHC was able to increase the content of soil C-organic and the available water capacity significantly compared with control treatment. The BIHC implementation could increase soil available water capacity up to 65% at a soil depth of 0-20 cm, up to 60% at a soil depth of 20-40 cm, and up to 51% at a soil depth of 40-60 cm more than the control treatment. The soil available water capacity suggested a significant positive correlation (p≤0.05) with the leaves number of coffee tree and chlorophyll content of leaves.

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