Nonparametric regression approach: applications in agricultural science

Celem niniejszego artykułu jest zaprezentowanie procedury wyznaczania rozkładu wielkości porów w agregatach glebowych. Do scharakteryzowania zależności pomiędzy badanymi zmiennymi wykorzystana zostanie funkcja regresji. W przeprowadzonych badaniach zastosowano algorytmy analizy obrazów cyfrowych oraz metodykę statystycznych estymatorów jądrowych. Przedstawiona metoda umożliwia uzyskanie właściwej charakterystyki rozkładu wielkości porów i może stanowić efektywne narzędzie stosowane w wielu zagadnieniach eksploracji danych. Jako model nieparametryczny, nie wymaga założeń dotyczących kształtu zależności funkcyjnej między rozpatrywanymi zmiennymi

Spatial patterns of wetting characteristics in grassland sandy soil

In grasslands where organic and inorganic resources are alternating at scales of individual plants, the transient character is given to certain wetting properties of soil, which then become highly variable both in space and in time. The objective of presented study was to study wetting pattern within two soil horizons at 5-cm and 10-cm depths respectively and to examine how the wetting patterns relate to hydraulic conductivity determined by Minidisc infiltrometer at suction −2 cm, K(−2 cm). This characteristics is implicitly independent on antecedent soil water content (SWC) since it relates to steady infiltration phase but can be influenced by present soil water repellency (SWR). Field measurements were performed on July 27–28, 2010 on the grassland experimental site located near the village Sekule in Southwest Slovakia. The water drop penetration time (WDPT), SWC and tension Minidisc infiltration measurements were carried out on the 0.64 m2 plot in a regular 8 × 8 grid. The results showed that SWR and SWC influence each other and cause correlation between spatial patterns of studied soil wetting characteristics and between characteristics measured at the two soil depths. Further, it was found out, that calculation of K(−2 cm) according to Zhang may cause apparent correlation of K(−2 cm) with antecedent SWC, which is the artificial effect of sorptivity parameter in the equation on steady stage of infiltration process. This pseudocorrelation has disappeared after adopting of Minasny and McBratney (2000) approaches by calculation of K(−2 cm)

Transport of iodide in structured clay–loam soil under maize during irrigation experiments analyzed using HYDRUS model

Transport of radioactive iodide 131I− in a structured clay loam soil under maize in a final growing phase was monitored during five consecutive irrigation experiments under ponding. Each time, 27 mm of water were applied. The water of the second experiment was spiked with 200 MBq of 131I− tracer. Its activity was monitored as functions of depth and time with Geiger-Müller (G-M) detectors in 11 vertically installed access tubes. The aim of the study was to widen our current knowledge of water and solute transport in unsaturated soil under different agriculturally cultivated settings. It was supposed that the change in 131I− activity (or counting rate) is proportional to the change in soil water content. Rapid increase followed by a gradual decrease in 131I− activity occurred at all depths and was attributed to preferential flow. The iodide transport through structured soil profile was simulated by the HYDRUS 1D model. The model predicted relatively deep percolation of iodide within a short time, in a good agreement with the observed vertical iodide distribution in soil. We found that the top 30 cm of the soil profile is the most vulnerable layer in terms of water and solute movement, which is the same depth where the root structure of maize can extend