Rabbit Anti-Human GR (a.a. 181-230) Polyclonal antibody

In order to manage soil salinity effectively, it is necessary to understand the origin and the spatial distribution of salinity. There are about 120 salt dome outcrops in southern Iran and little is known about their contribution as the potential sources of salts and the spatial pattern of salts around them. Six machine learning algorithms were applied to model topsoil electrical conductivity (EC) and sodium adsorption ratio (SAR) in the Darab Plain (surrounded by six salt domes), Fars Province. Decision trees (DT), k-nearest neighbours (kNN), support vector machines (SVM), Cubist, random forests (RF) and extreme gradient boosting (XGBoost) were used as primary models and the Granger-Ramanathan (GR) method was used to combine the predictions of these models. The results showed that remotely sensed data contributed more to predict EC and SAR than terrain-based data. In terms of root mean square errors (RMSE), Cubist followed by the RF model, tended to give the best estimates of EC, whereas for SAR, RF performed best and was followed closely by SVM and Cubist. Compared to the primary models, the GR method on average resulted in a decrease of 6.1% and 3.9% in RMSE and an increase of 10% and 10.9% in R-2 for EC and SAR, respectively. The spatial pattern of SAR and EC suggested that the contribution of salt domes in soil salinization varied significantly according to their hydraulic behaviour in relation to adjacent aquifers and their activity. In general, the model averaging approach showed the potential to improve the estimates of EC and SAR.

A pot experiment was undertaken to evaluate the effect of priming with salicylic acid (SA) and hydrogen peroxide (H2O2) on induction of drought tolerance in two contrasting wheat genotypes C-306 (relatively drought resistant) and HD-2329 (relatively drought susceptible). The seeds were pretreated with SA (0.5 mM) and H2O2 (10 mM) separately as well as in combination and were subjected to water deficit condition at early seedling stage (23 days after sowing) by withholding irrigation. The decrease in moisture content (dry weight basis) as compared to control was 13.48% (0-15 cm), 11.05% (15-30 cm) and 10.19% (30-45 cm). Proline content was found to elevate along with increase in total soluble sugars and K content in leaves of treated plants during water deficit. Combined application of SA and H2O2 also increased total chlorophyll and carotenoid content with reduced TBARS reflecting enhanced membrane stability during water deficit. SOD and APX activities were considerably increased along with rise in the levels of GR and CAT indicating elevated ROS scavenging mechanism. Thus, pretreatments of seeds with a combination of SA (0.5 mM) and H2O2 (10 mM) increased accumulation of compatible osmolytes, elevated antioxidant response and improved photosynthetic pigments during water deficit stress.