Phytopharmacy (Masters)

Course title:

Phytopharmacy (Masters)

Course code:




In-class hours



Laboratory work/Tutorials:


Self-preparation hours

Practical training:




Total hours:




Study cycle:



Winter & Summer


Faculty of Plant Protection and Agriecology

Name of the lecturer(s):

Assoc. Prof. Donyo Ganchev, PhD

Mode of delivery:

Face-to-face, distance learning


Chemistry, Statistics

Learning outcomes of the course unit:

Pesticides and agrochemical development is for major significance for contemporary  and modern agriculture. The students in the course get acquainted with details in pesticides and agrochemical screening process and evaluation of plant protection products including required for this proper statistical and mathematical data manipulation. The course delivers knowledge and skills for work with popular pesticides system databases, decision support systems and other professional software in the area of pesticides 

Course contents:

1.            Chemistry of pesticides

2.            Toxicology of pesticides

3.            Statistical manipulation of pesticide screening data 

4.            Major kinds of pesticide software

5.            R language for statistical computing – basic programming skills

6.            R language for statistical computing – specific pesticide screening skills

7.            Database systems – basic terms and types

8.            Online pesticides database systems

9.            Offline database system solutions in the area of pesticides

10. Decision–supporting systems 

Recommended or required reading:

1.            Copping.L.G., G. Hewitt.,   1998, Chemistry and mode of action of crop protection agent., Published by Royal Society of Chemistry.

2.            Hewitt.H.G., 1998., Fungicides in Crop  Protection., CAB International.

3.            Koller.W., 2000. Target sites of fungicide action., CRC. PRESS.

4.            Marsh.R.W., Byrde.R.J.W., D.Woodcock., 1975. Системные Фунгициды., изд Мир Москва.

5.         Martin. H., D.Woodcock., 1983,  The Scientific Principles of Crop Protection., Seventh Edition., Publisned Edward Arnold.

6.            Subhash.C., Vyas.M., 2000., Nontarget Effects of Agricultural Fungicides., CRC.PRESS

7.            R language for statistical computing – manuals (

8.            Oerke, E., Gerhards, R. Precision crop protection. Springer, 2010, 414 pp

Planned learning activities and teaching methods:

Mathematical and statistical manipulation of pesticides screening data.

Creation of own databases in the area of pesticide uses, registration and  marketing

Assessment methods and criteria:

Written exam