Wahl­pflicht-Me­tho­den­mo­du­le

• Aspekte der Anwendung von Züchtungsmethoden in ausgewählten Kulturarten
• Praktische Durchführung von Züchtungsarbeiten wie Kreuzung und Selektion
• Laborübung ausgewählter Typen molekularer Marker
• Genomische Methoden wie Kopplungskartierung, QTL-Analyse, Assoziationskartierung
• Exkursionen zu praktischen Pflanzenzüchtern/Genbanken/züchterisch arbeitende Institutionen
• Analyse wissenschaftlicher Artikel im Zusammenhang mit der Anwendung von Methoden der Pflanzenzüchtungsforschung

• Bedeutung multivariater Auswertungen für landwirtschaftliche Fragestellungen
• Multivariate Statistik
• Hauptkomponentenanalyse, Faktorenanalyse, Clusteranalysen
• Hauptkomponenten-Regression & Partial Least Squares (PLS)-Regression,
• Künstliche neuronale Netzwerke, Random Forest & Support Vector Ma-chine
• Bodenkundliche und pflanzenbauliche Anwendungen u.a. bei Berücksichtigung der Infrarotspektroskopie
• Vertiefung der Kenntnisse in der Software R

Crawley, M.J. 2012: The R Book, Wiley

Everitt, B., Hothorn, T. P. 2011: An Introduction to Applied Multivariate Analysis with R. Springer, New York

Field, A., Miles, J., Field, Z. 2012: Discovering Statistics using R, SAGE

Wehrens, R. 2011: Chemometrics with R, Springer

Vorlesung 40h, Übungen 20h

• Umgang mit wissenschaftlicher Literatur
• Methoden der Tierwohlforschung
• Wissenschaftliche Qualitätskriterien
• Versuchsplanung und -durchführung, Statistik

• Elemente und Werkzeuge der Zuchtplanung
• Zuchtwertschätzungen für Produktionsmerkmale und funktionale Merkmale
• Methoden der genomischen Zuchtwertschätzung
• Beurteilung von Inzucht, Verwandtschaft und genetischer Diversität
• Optimum Contribution Selection

Vorlesung 40h, Seminar 20h

• Tasks and management of marketing research
• methods of data collection
• methods of data analysis
• methods of prognoses

• are able to outline the steps in the marketing research process
• are able to develop a marketing research design
• know all relevant methods for data collection, analyses and prognoses with their specific advantages and problems
• acquire personal skills for teamwork, oral and written presentations.

Aaker, D.A., Kumar, V., Day, G.S. 2013: Marketing research. 11th ed., Hobo-ken, NJ:

Wiley. - Bryman, A. 2008: Social Research Methods. 3rd ed., Oxford:

Oxford University Press. - Burns, A.C., Bush, R.F. 2010: Marketing Research. 6th ed., Upper Saddle River, NJ, et al.:

Prentice Hall. - Denzin, N.K., Lincoln, Y.S. 2008: Strategies of qualitative inquiry. 3rd ed., Los Angeles, CA, et al.:

Sage Publications. - Churchill, G.A., Brown, T.J. 2007: Basic marketing research. 6th ed., Mason, OH:

Thomson South Western. - Dillman, D.A., Smyth, J.D., Chris-tian, L.M. 2014: Internet, mail, and mixed-mode surveys. 3rd ed., Hoboken, NJ:

Wiley. - Greenbaum, T.L. 2000: Moderating focus groups. A practical guide for group facilitation. Thousand Oaks, CA, et al.:

Sage Publications. - Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. 2014: Multivariate data analysis, 7th ed., Upper Saddle River, NJ, et al.:

Prentice Hall. - Malhotra, N.K., Birks, D.F., Wills, P. 2012: Marketing research, 4th ed., Harlow, Pearson. - McQuarrie, F. 1996 The market research toolbox: a concise guide for beginners. Thousand Oaks, CA, et al.: Sage Publications. - Ritchie, J., Lewis, J. 2006: Qualitative re-search practice: A guide for social science students and researchers. London et al.: Sage Publications. - Shao, A.T., Zhou, K.Z. 2007: Marketing research. 3rd ed., London et al.: Thomson Learning. - Webb, J.R. 2005: Understanding and designing marketing research. 2nd ed., London: Thomson Learning. - Wooldridge, J.M. 2013: Introductory econometrics – a modern approach. 5th ed., Mason, OH, et al.: Thomson South Western.

This course will look at the importance of place-based, participatory and transdisciplinary research methods in sustainability science. Students will learn different participatory methods to capture the knowledge and aspirations of the different agents that operate in agricultural landscapes and will be able to integrate this knowledge in practical outcomes for sustainable land management.
After successfully completing this module students should:

• comprehend the fundaments of participatory research
• be familiar with the different types of participatory research methods
• be able to design and implement participatory processes

This module contributes to the following skills:

• performance of transdisciplinary processes
• integration of knowledge and aspirations of different agents towards sustainable land management
• data collection and analysis using participatory methods
• group work techniques (organization of working schedule, team work)
• presentation skills and communication of main research results

• Bergmann, M. et al. 2012: Methods for Transdisciplinary Research: A Primer for Practice. Campus Verlag
• Course materials to be provided.

Zulassungsvoraussetzungen gemäß § 9 PO MSc Ökologische Landwirtschaft

• Advanced course in plant pathology and entomology
• Methodology and evaluation methods in plant protection
• Case studies of specific plant protection issues in organic farming in the form of lectures, seminars and practical courses

Agrios, G.N. 2005: Plant Pathology, 5th edition Academic Press, New York;

Pedigo, L.P. 2002: Entomology and Pest Management, 4th edition, Macmillen Pub Co.

Koordinator

Prof. Dr. B. Ludwig

Sprache

Englisch

Credits

6

Stud.   Arbeitsaufwand

180h, of which 60h contact

Häufigkeit   (WS / SS)

SS, annual

Lehrinhalte

• Description of the dynamics of C, N and P (forms, transformations and availability) in arable soils
• Experimental designs in agricultural experiments: completely randomized design, randomized complete block design, Latin square design, split-plot design and balanced incomplete block design
• Statistical modelling: combined regression and analysis of variance and linear mixed effects models
• Modelling of the turnover of soil organic matter using the SoilR package in R
• Application of the statistical software R for a description of C and N dynamics

Qualifikationsziel

Students are able to use established models and the statistical software R for a study and description of ecological processes in arable soils. Based on their understanding of soil nutrient dynamics and experimental designs they are able to evaluate and critically assess the significance of longterm and laboratory experiments for studying C, N and P dynamics and to consider all influencing variables.

Literaturhinweise

Crawley, M.J. 2012: The R book. 2nd edition, Wiley; Field, A., Miles, J., Field, Z. 2012: Discovering Statistics using R. Sage
Everitt, B., Hothorn, T. P. 2011: An Introduction to Applied Multivariate Analy-sis with R. Springer, New York
Field, A., Miles, J., Field, Z. 2012: Discovering Statistics using R, SAGE
Welham, S.J., Gezan, S.A., Clark, S.J., Mead, A. 2014. Statistical Methods in Biology. Design and Analysis of Experiments and Regression, CRC Press, Boca Raton

Lehrform

Lecture 40h, Practicals 20h

Leistungsnachweis

Oral Examination (ca. 30min) 100%

Verwendbarkeit

Wahlpflichtfach gemäß § 10 (4) PO MSc Ökologische Landwirtschaft

Teilnahmevoraussetz.

Zulassungsvoraussetzungen gemäß § 9 PO MSc Ökologische Landwirtschaft