In all harvesting operations, minimized risks for soil damage combined with short forwarding mileage are desirable in order to achive cost efficient work. This study examined how forwarding mileage are influenced by the time of the year a harvesting operation is conducted. Two scenarios that corresponded to the terrain water conditions during wet and drier periods of the year were created. Twenty harvesting sites were simulated with these scenarios. The results showed that the forwarder’s mileage was reduced in the dry conditions, and that even the forwarder’s mileage over wet areas was reduced under these conditions. This means that there is a potential for productivity increase as well as to reduce the risk of soil damage in wet areas.

Soil Water Balance (SWB), is a generic and mechanistic crop growth model that has been successfully used to model the water balance of several crops. Its ability to combine crop water modelling and irrigation scheduling approaches allows it to be used as a research tool and an irrigation management tool. Since SWB is a tool that could be used as decision making tool for farmers, its accuracy in simulating crop growth, development and soil water balance should be high. To highlight the importance of improved irrigation management for potato crop by the means of a mechanistic soil water balance model and the importance of the photoperiod factor in potato modelling in sub-tropical region, two potato experiments were carried out in two contrasting seasons, namely, spring and autumn. Growth and development responses of potato under both well irrigated and water stressed conditions for spring and autumn plantings were examined. This study successfully quantified the water use and potato growth responses to water stress. The water use efficiency varied with irrigation treatments and planting time, and autumn experiment had generally higher values than spring. Unstressed treatment gave the highest tuber yields irrespective of planting season and marketable tuber yield was higher in autumn than spring. Water stress imposed at tuber initiation until end of tuber bulking was revealed to be the most detrimental to biomass and tuber production. This suggests that water stress at tuber initiation and bulking stage should be avoided if high tuber yield is the target. Growth analysis data were used to determine crop parameters for SWB calibration and validation. The model simulated reasonably well growth, development and soil water balance in both unstressed and stressed conditions. However, simulations results of total and harvestable dry matter towards the end of the exponential tuber bulking stage (50 - 65 DAP) were deteriorated. As a result, the model did not simulate accurately the final yield. This is an indication that the model fails to simulate the size of the canopy and its duration. The time at which tuber initiation commences appeared not be affected by the planting seasons since variation of the duration between emergence and tuber initiation in different seasons was small. This small variation could be attributed to the fact that the potato growing season in South Africa (Pretoria) in spring 2004 and autumn 2005 experiences minimum and maximum temperatures which are acceptable for the growth of potato. In Pretoria, emergence and tuberisation take place under relatively cool temperatures late in September and also early in April when temperatures are relatively cool. Consequently, potato grown in this period may escape the early autumn and late spring high temperatures. However, autumn planting experiences an abrupt change of day lengths from long days to short days towards tuber initiation. This brusque change of day length may change the crop physiology and affect the subsequent normal course of plant growth. If the day length factor could be integrated into SWB, it appears that the model will better simulate potato growth and development. The poor simulation results of total dry matter and harvestable dry matter early in the growing season suggest that the model should be improved by allowing it to simulate the start of tuber initiation. A linear function of average temperature between a base and an optimal temperature corrected with photoperiod factor was found to be the most appropriate method to estimate thermal time required for tuber initiation. This method suggests that the time of tuber initiation can be estimated from its thermal time within two days. / Dissertation (MSc (Soil Science))--University of Pretoria, 2007. / Plant Production and Soil Science / MSc / unrestricted

In arid lands, a major contribution to water loss is by soil water evaporation. Desert sand dunes in arid regions are devoid of runoff and have high rates of infiltration. Rainwater is commonly stored within them because of the low permeability soils in the underlying desert pavement. In such cases, moisture is confined in the sand dune below a depth, termed as the “extinction depth”, where it is protected from evaporation during long dry periods. Moreover, desert sand dunes have sparse vegetation, which results in low transpiration losses from the stored water. The water accumulated below the extinction depth of the sand dunes can be utilized for various purposes such as in irrigation to support desert agriculture. In this study, field experiments were conducted in Western Saudi Arabia to monitor the soil moisture gradients and determine the diffusive extinction depth of dune sand. The dune sand was saturated with water and was exposed to natural conditions (evaporation and precipitation). The decline of the water level in the sand column was continuously recorded using transducers and sensors installed at different depths monitored the temporal variation of temperature and moisture content within the sand. The hydrological simulator HYDRUS-1D was used to construct the vertical profiles of soil water content and temperature and the results obtained from HYDRUS-1D were compared to the gradients monitored by the sensors.

Please read the abstract in the section 00front of this document / Dissertation (M Inst Agrar (Horticulture Science))--University of Pretoria, 2000. / Plant Production and Soil Science / unrestricted

Teachers have noticed that children draw only those objects which they know by name. Doubtless the adult has a similar tendency, exemplified by the researcher, to limit his observations or to relate them to that which can be expressed in the terminology of an existing or newly developed theory. In this thesis the data obtained from studies of the temperature and pressure dependence of the relative vapor pressure over moist soil samples are analyzed by a thermodynamic approach. Not all of the results can be explained completely by means of this tool. Natural systems, such as a moist soil, are probably too complex for any single theory; but since the language of thermodynamics provides the best-known means of conveying the results to others, it is felt that this language should be used throughout the thesis.

Relationship between soil moisture and the absorption of phosphorus and other nutrients.

This study focuses on how green roof thermal performance is affected by the soil moisture in summer condition. It aims to determine whether moist soil is a better insulator during the summer months than dry soil. A soil model is developed to predict simultaneous conduction, convection, and surface evaporation for a layer of moist soil representing a green roof. It used to analyze evaporation process and its affect on the soil resistance. The model considers only bare soil without vegetation on the roof. The model predicts the soil surface temperature as it is affected by soil moisture content, which can then be used to calculate heat transfer through the soil layer. An experimental dry out test was conducted to measure the soil moisture and soil temperature histories. Comparison of the predicted and measured sol surface temperature shows that the model reasonably captures the actual behavior. The evaporative cooling effectively reduces the soil surface temperature and heat flux in moist soil and can be used as an effective way to insulate the roof.

Indiana University-Purdue University Indianapolis (IUPUI) / Soil moisture is a key variable in dryland ecosystems. Knowing how and to what extent soil moisture is influenced by rainfall and non-rainfall waters (e.g., dew, fog, and water vapor) is essential to understand dryland dynamics. The hyper-arid environment of the Namib Desert with its frequent occurrence of fog events provides an ideal place to conduct research on the rainfall and non-rainfall effects on soil moisture dynamics. Rainfall and soil moisture records was collected from three locations (gravel plain at Gobabeb (GPG), sand dune at Gobabeb (SDG), and gravel plain at Kleinberg (GPK)) within the Namib Desert using CS655 Water Content Reflectometer and tipping-buckets, respectively. The fog data was collected from the FogNet stations. Field observations of rainfall and soil moisture from three study sites suggested that soil moisture dynamics follow rainfall patterns at two gravel plain sites, whereas no significant relationships was observed at the sand dune site. The stochastic modeling results showed that most of soil moisture dynamics can be simulated except the rainless periods. Model sensitivity in response to different soil and vegetation parameters was investigated under diverse soil textures. Sensitivity analyses suggested that soil hygroscopic point (sh), field capacity (sfc) were two main parameters controlling the model output. Despite soil moisture dynamics can be partially explained by rainfall, soil moisture dynamics during rainless period still poorly understood. In addition, characterization of fog distribution in the Namib Desert is still lacking. To this end, nearly two years’ continuous daily records of fog were used to derive fog distribution. The results suggested that fog is able to be well - characterized by a Poisson process with two parameters (arrival rate and average depth). Field observations indicated that there is a moderate positive relationship between soil moisture and fog at GPG and the relationship tend to be less significant at the other two sites. A modified modeling results suggested that mean and general patterns of soil moisture can be captured by the modeling. This thesis is of practical importance for understanding soil moisture dynamics in response to the rainfall and fog changing conditions.

No description available.

Temperature and soil moisture (SM) are the two main environmental factors affecting sweetpotato growth and yield. Quantitative functional algorithms of plant growth and developmental processes under a wide range of above factors are needed for developing tools for modeling. Four experiments were conducted to quantify early and late season SM and temperature effects on sweetpotato growth, development, and physiology. In experiment I, effects of five SM levels were evaluated in a greenhouse using cultivars, Beauregard and Evangeline. Experiment II was conducted to evaluate late-season SM effects with four evapotranspiration (ET) based irrigation. In experiment III, five temperatures were imposed at early season (0-59 days after transplanting (DAT)). Late season temperature effects were evaluated with four day/night temperatures from 17 to 91 DAT, in experiment IV. Experiments II, III, and IV were conducted in soil plant atmosphere research facility using Beauregard. Growth, developmental, and physiological parameters were measured. Rate of storage root (SR) development of both cultivars showed a quadratic decline with decreasing SM. Soil moisture optima for SR initiation were 0.168 and 0.199 m3 m-3, equivalent to 63 and 75% field capacity (FC), for cultivars Beauregard and Evangeline, respectively. Shoot biomass declined more rapidly than root with declining SM. Results revealed that, maintaining SM closer to FC during early season is beneficial for early development of root and shoot. Storage root biomass declined quadratically with declining irrigation. The optimum irrigation was 72% of ET and less biomass was partitioned to SRs above that level. Early season temperature study revealed, SR conversion efficiency increased quadratically and reached optimum at 23.9°C with increasing temperature. Maximum rate of SR initiation was reached at 29.5°C in 16.7 d. Biomass partitioned to roots declined linearly with increasing temperature. The SR production efficiency declined from 0.43 to 0.08 g SR kg-1 total weight, and dropped by 81% relative to optimum temperature. The SR fresh weight at high temperature declined 99% relative to optimum temperature. High temperature during mid- and late-seasons partitioned more biomass to shoots, less to roots lowering SR yield. The functional algorithms developed are vital to make management decisions and to develop crop models.