Information Package / Course Catalogue - Adnan Menderes University

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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)

Prof. Mustafa SÜRMEN

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/ Midterm

Week 7 - Practice

Sample problem solution.

Week 8 - Theoretical

Sample problem solution

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

Interpretation of the results of statistical analysis

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%30
Final Examination	1	%70

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	2	28
Lecture - Practice	14	0	2	28
Assignment	1	20	60	80
Reading	8	0	4	32
Midterm Examination	1	0	14	14
Final Examination	1	0	20	20
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

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