Information Package / Course Catalogue
Experimental Designs and Analysis in Field Crops
Course Code: ZTB536
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Students will be informed about the planning of experiments, the conduct of the trial, analysis and interpretation of experiment results.

Course Content

Explanation of basic concepts related to statistic methods, determination of appropriate experimental design and creates a hypothesis, analysis and interpretation of one, two, and three factorial experiments results, Correlations and regressions, path analysis, description and use of statistical package used in statistical analysis.

Name of Lecturer(s)
Learning Outcomes
1.Students learn basic concepts about statistic methods.
2.Students inform about research planning and execution.
3.Students learn approaches about analysis of the data obtained from experiments and interpretation of results.
4.ublication of experiment results.
5.Publication of experiment results.
Recommended or Required Reading
1.Açıkgöz, N., E. İlker, A. Gökçöl, 2004. Biyolojik Araştırmaların Bilgisayarda Değerlendirilmeleri. ISBN: 973-483-607-8 E.Ü. Tohum Teknolojisi Araştırma ve Uygulama Merkezi Yayın No:2 Bornova-İzmir
2.1994. Tarımda Araştırma ve Deneme Metodları, , Ege Üniv. Ziraat Fak Yay No. 478, İzmir.KOÇ, A. 2004. Doğal Kaynakların Yönetimi lisansüstü ders notları. Atatürk Ünv. Zir. Fak. Tarla Bitkileri Böl. 52 s. Erzurum.
3.Yurtsever, N. 1984. Deneysel İstatistik Modelleri. Köy Hizmetleri Genel Müd.lüğü Yayınları. 220 s.Ankara
4.Singh, R.K. and Chaudhary, B.D. 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic concepts about experimental designs and analysis
Week 1 - Practice
Literature search
Week 2 - Theoretical
Variance analysis and explanations of one factorial experiment: analysis and interpretation results obtained from completely randomized plot design and randomized block design.
Week 2 - Practice
Sample problem solution.
Week 3 - Theoretical
Variance analysis and explanations of one factorial experiment: analysis and interpretation results obtained from augmented design.
Week 3 - Practice
Sample problem solution.
Week 4 - Theoretical
Variance analysis and explanations of two factorial experiment: analysis and interpretation results obtained from split-plot design
Week 4 - Practice
Sample problem solution.
Week 5 - Theoretical
Variance analysis and explanations of three factorial experiment: analysis and interpretation results obtained from factorial design.
Week 5 - Practice
Sample problem solution.
Week 6 - Theoretical
Variance analysis and explanations of three factorial experiment: Place, year, place-year combinations
Week 6 - Practice
Sample problem solution.
Week 7 - Theoretical
Multi-characterized analysis: correlation coefficient and significance test, simple multiple correlation coefficient
Week 7 - Practice
Sample problem solution.
Week 8 - Intermediate Exam
MidTerm Exam
Week 9 - Theoretical
Factors and path analysis, application of path analysis in field crop cultivation and breeding
Week 9 - Practice
Sample problem solution
Week 10 - Theoretical
Regression coefficients and significance test, and regression models.
Week 10 - Practice
Sample problem solution
Week 11 - Theoretical
Using a regression model to estimate yield and genotype x environment interaction
Week 11 - Practice
Sample problem solution
Week 12 - Theoretical
Analysis of data with SAS software package
Week 12 - Practice
Sample problem solution
Week 13 - Theoretical
Analysis of data with SPSS software package
Week 13 - Practice
Sample problem solution
Week 14 - Theoretical
Analysis of data with JMP software package
Week 14 - Practice
Sample problem solution
Week 15 - Theoretical
Interpretation of the results of statistical analysis
Week 15 - Practice
Sample problem solution
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment1206080
Reading80432
Midterm Examination101414
Final Examination102020
TOTAL WORKLOAD (hours)202
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
5
5
5
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
5
5
5
5
5
5
OÇ-3
5
5
5
5
5
5
5
5
5
5
OÇ-4
5
5
5
5
5
5
5
5
5
5
OÇ-5
5
5
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue