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An innovative research institution is seeking a motivated candidate for a master's thesis project focused on analyzing agricultural data from Kenya. This role involves statistical data analysis and graphical processing of results, contributing to the understanding of soil quality under different farming systems. Join a forward-thinking team dedicated to advancing organic farming practices and making a significant impact in the field. This opportunity not only enhances your research skills but also prepares you for publication in a scientific journal, paving the way for your academic career.
Art des Angebots: Masterarbeit
Background
Since 2007, conventional and organic cropping systems are compared at two locations in Kenya. In addition, we consider one intensive and one extensive fertilisation rate in each system. The two sites differ in their soil properties and in the amount and distribution of rainfall/irrigation.
At the end of each three-year crop rotation, samples were taken at a depth of 0-20 cm and analysed for key soil biological, chemical and physical parameters. In addition, (Fourier-transformed) infrared spectra were recorded for all samples. So far, the results have not been analysed statistically.
Within this MSc.-thesis, the candidate will statistically analyse the data set and graphically process the results for publication in a scientific journal.
Method
Statistical data analyses
Contact
Markus Steffens
(markus.steffens@fibl.org or markus.steffens@unibe.ch)
Date
Anytime
Literature
von Arb, C., Bünemann, E.K., Schmalz, H., Portmann, M., Adamtey, N., Musyoka, M.W., Frossard, E., Fliessbach, A., 2020. Soil quality and phosphorus status after nine years of organic and conventional farming at two input levels in the Central Highlands of Kenya. Geoderma 362, 114112
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