Effects of different sources of organic matter on soil aggregate formation and stability: A laboratory study on a Lithic Rhodoxeralf from Turkey

In this study the influences of three different organic sources on aggregate formation and stability in soil were investigated.Our approach involves establishing plot experiment in the greenhouse with a Lithic Rhodoxeralf and a variety of carbon sources having specific chemical properties applied to the soil of individual plots. Treatments include K-Humate (KH, 25, 50 and 100 kg/ha), Concentrated Plant Extract (CPE, 50, 100, 200 kg/ha) and Molasses (M, 50, 100, 200 kg/ha). After a seven-month incubation period, aggregate formation and their stability were determined and their correlation to different C sources was developed.The effect of KH on aggregate formation was significant for 2–1 mm aggregates (P < 0.05) and 0.5–0.25 mm aggregates (P < 0.01). The effect of CPE on aggregate formation was significant for 0.5–0.25 aggregates (P < 0.05), while the M had no significant effect on aggregate formation in any aggregate size. The effect of KH on aggregate stability was significant for 8–4 mm and 1–0.5 mm aggregates (P < 0.01). The effect of CPE on aggregate stability was significant for 0.5–0.25 mm aggregates (P < 0.05), while the M was significant for 8–4 mm aggregates (P < 0.05).     

Estimation of daily reference evapotranspiration by neuro computing techniques using limited data in a semi-arid environment

In this paper, the daily reference evapotranspiration (ET₀) for Bulawayo Goetz was estimated from climatic data using neuro computing techniques. The region lacks reliable weather data and experiences inconsistencies in the measuring process due to inadequate and obsolete measuring equipment. This paper aims to propose neuro computing techniques as an alternative methodology to estimating evapotranspiration. Firstly, ET₀ was calculated using FAO-56 Penman-Monteith (PM) equation from available climatic data. Data was divided into training, testing and validation for neuro computing purposes. The study also investigated the effect of different normalisation techniques on neuro computing ET₀ estimation accuracy. In another application, neuro-computing ET₀ estimates were compared against those obtained using empirical methods and their calibrated versions. The Z-score normalisation technique for all data sets gave best results with a Multi-layer perceptron (5–5-1) model having RMSE, MAE and R² values in the range 0.12–0.25 mm day^?1, 0.08–0.15 mm day^?1 and 0.94–0.99 respectively. There were no significant differences in ET₀ estimation accuracy by neuro computing techniques due to normalisation technique. The Neuro computing techniques were superior to empirical methods in ET₀ estimation for Bulawayo Goetz. The Neuro computing techniques are recommended for use in cases of limited climatic data at Bulawayo Goetz.     

Characterization of local immune response against lungworms in naturally infected sheep

This study describes the immunohistochemical and histochemical phenotypes of inflammatory cells in sheep lungs infected with lungworms. A total of 20 naturally infected sheep lungs were used. Protostrongylus spp., Muellerius capillaris, Neostrongylus linearis, and Cystocaulus ocreatus were the chief organisms determined from such lesions, which were of a chronic nature. All the lungs had many developmental stages of the parasites and a similar inflammatory response, which included numerous mast cells, eosinophils, T cells, B cells, dendritic cells, and macrophages. In the bronchial and interstitial tissues, the inflammatory cells were dominated by MHCII, CD1, CD4, CD5, CD14, CD21, IgM, and CD172a positive cells, whereas CD2 and WC1 positive cells were detected less. The data provided additional evidence that subsets of inflammatory cells were included within ovine lungs infected with lungworms; however, understanding the entire immune-response process and development of resistance to lungworms in sheep remain to be clearly elucidated.