Direct Payments as a Risk Management Tool in Bulgarian Agriculture

Georgieva, Tanya

doi:10.36997/ijusv-ess/2020.9.2.160

Cited by 1 publication

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From field experiment we used phenology, canopy cover, biomass and yield. For rooting depth we are using the information about the time of maximum rooting depth from literature (Georgieva Ya., 1963).…”

Section: Description Of Location and Datamentioning

confidence: 99%

Calibration and Parameterisation of the Aquacrop Model for Growing Winter Wheat in Bulgaria

Atanassov,

Georgieva,

Kazandjiev

2023

Agriculture & Food

View full text Add to dashboard Cite

The sustainable development of modern agriculture and the manufacturing of quality crop production requires a precise assessment and management of the conditions and potential of the available resources. The use of numerical models in operational practice gives insight into the effective utilization of water resources. Numerical modeling methods can be used to assess of the extent and negative impact of agrometeorological drought. It is an increasingly common phenomenon and affects the quantity and quality of the harvest. The AquaCrop model is suitable for estimating the growth and productivity of agricultural crops in areas with insufficient moisture.Our research aims to calibrate and optimize the parameters of the AquaCrop model for winter wheat under the conditions of the country. This will be achieved through conducting a field experiment. The collection of observed and measured data will enable their comparison with the results of the model simulation.Through the AquaCrop model, water effectivity and yield sensitivity to available water reserves will be estimated. In the process of parameterization of the model, the values of the elements of the meteorological, biological, and soil block of the model affecting the soil water balance and natural fertility will be optimized.The obtained results will be widely used in the compilation of agrometeorological forecasts and determination dates for the onset of drought in different regions of the country.

show abstract

Section: Description Of Location and Datamentioning

confidence: 99%