Name: Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics By Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)
SKU: 9781789245981
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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics Summary

Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics by Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS (R) is the most widely used statistical software in the world and SAS (R) OnDemand for Academics is now freely available for academic institutions. This is a user-friendly guide to statistics using SAS (R) OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS (R) within the context of plant science research. This book: - Covers experimental designs and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics such as merging data frames, multivariate analysis and linear regression Authored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.

About Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

I received my BS in Horticulture from the University of Maryland, College Park, MD, my MS in Horticulture from Virginia Tech, Blacksburg, VA, and my Ph.D. in Horticultural Science from North Carolina State University, Raleigh, NC. I joined the Horticulture Department at Rutgers in 1986 and conducted tree fruit physiology research, including peach flower bud cold hardiness, rootstock - scion interactions in peach and apple and consumer acceptance of disease resistant apple cultivars. From the late 1990's through 2005 my research focused on photoperiod and temperature conditioning of strawberry plug plants for off-season production. From 2006 - 2016 my research program was placed on hiatus to serve as Director of the Student Sustainable Farm at Rutgers, a student-run 5-acre CSA (Community Supported Agriculture) farm with 50 to 175 shareholders that provided experiential learning of organic vegetable, herb and flower production for students at Rutgers - The State University of New Jersey. In 2016 I returned to my roles in teaching and research, investigating alternative strawberry production systems and plant conditioning and goldenberry (Physalis peruviana) as a new fruit crop for North America. I teach or have taught 'Applied Plant Science Statistics', 'Applied Physiology of Hort Crops', 'Agroecology Practicum', 'Fruit Production', 'Seminar in Horticulture' and 'Perspectives on Agriculture & the Environment'.

1: Introduction to Plant Science Research and Experimentation 2: An Introduction to SAS (R) OnDemand for Academics 3: A Review of Basic Statistics and Terms 4: Plant Science Research and Some Basic Experimental Design Principles 5: Variation and the Analysis of Variance (ANOVA) 6: The Completely Random Design 7: Factorials 8: Contrasts 9: Linear Regression 10: Regression Diagnostics 11: Mean Separation Techniques 12: The Randomized Complete Block Design 13: The Latin Square Design 14: The Split-plot Design and variations (split-split, split-block, strip-plot) 15: Experiments in a Series 16: Expected Mean Squares 17: Analysis of Covariance 18: Non-Parametric Procedures 19: Sampling 20: When Data Doesn't Behave - Problem Data 21: Presentation of Research Results

Additional information

Sku

NGR9781789245981

ISBN 13

9781789245981

ISBN 10

1789245982

Title

Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics by Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

Author

Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

Condition

New

Binding type

Paperback

Publisher

CABI Publishing

Year published

20210610

Number of pages

416

Prizes

null null null null null null null null null null

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Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics by Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

Summary

Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics Summary

Applied Plant Science Experimental Design and Statistical Analysis Using SAS (R) OnDemand for Academics by Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

About Associate Professor Edward Durner (Rutgers, The State University of New Jersey, USA)

Table of Contents

Additional information

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