An exploratory method to determine the plant characteristics affecting the final yield of Echium amoenum Fisch. & C.A. Mey. under fertilizers application and plant densities.

Employing of advanced statistical methods to quantify agricultural information has helped to carry out targeted planning to alleviate the problems of farmers, researchers and policy section. One of these exploratory methods, is multivariate statistical analysis that examines and models the relationship between variables. Considering the importance of Echium amoenum and its use growing trend in traditional medicine and the pharmaceutical industry, also the lack of information on the correlations between its yield and morpho physiological traits, the objective of this study was to determine the causality path in which the Echium amoenum characteristics affects the yield of Echium amoenum as regards of application of organic and chemical fertilizers under different plant densities.

Using the AquaCrop model to simulate sesame performance in response to superabsorbent polymer and humic acid application under limited irrigation conditions.

Quantification of the effects of water consumption technologies on sesame performance has not been evaluated by any model yet. Field experiments were conducted to assess the sesame (Sesamum indicum L.) response to limited irrigation in an arid region.