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- Second Cycle (Master's Degree)
- Graduate School of Natural and Applied Sciences - Field Crops

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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)

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 Assessment | Count | Percent |
---|---|---|

Midterm Examination | 1 | %40 |

Final Examination | 1 | %60 |

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 |

Person Responsible for Information Package

Adnan Menderes University - Information Package / Course Catalogue