Bioassays with Arthropods

This book is an excellent desktop reference and guide for use in designing, conducting, and analyzing a broad range of bioassays that investigate a wide variety of chemistries and simulated environmental treatments.

Imagine a statistics book for bioassays written by a statistician. Next, imagine a statistics book for bioassays written for a layman. Bioassays with Arthropods, Third Edition offers the best of both worlds by translating the terse, precise language of the statistician into language used by the laboratory scientist. The book explains the statistical basis and analysis for each kind of quantal response bioassay in just the right amount of detail. The first two editions were a great reference for designing, conducting, and interpreting bioassays: this completely revised and updated third edition will also train the laboratory scientist to be an expert in estimation of dose response curves.

New in the Third Edition:

• Introduces four new Windows and Apple-based computer programs (PoloJR, OptiDose, PoloMixture and PoloMulti) for the analyses of binary and multiple response analyses, respectively

• Replaces out-of-date GLIM examples with R program samples

• Includes a new chapter, Population Toxicology, and takes a systems approach to bioassays

• Expands the coverage of invasive species and quarantine statistics

  Building on the foundation set by the much-cited first two editions, the authors clearly delineate applications and ideas that are exceptionally challenging for those not already familiar with their use. They lead you through the methods with such ease and organization, that you suddenly find yourself readily able to apply concepts that you never thought you would understand. **

To order the PoloSuite computer software described in Bioassays with Arthropods, Third Edition, use the order form found at www.leora-software.com or contact the LeOra Software Company at leorasoftware@gmail.com. **

Reviews"Bioassays with Arthropods, 3rd Edition, is an excellent book and reference guide for all level of students who are interested in biological sciences and in need of an easy-to-use reference. The best part about this book is that it uses real life examples and talks about all possible scenarios that we encounter when we are new to a specific bioassay. Language is very easy to follow and even motivational for new scientists in the field. In addition, the authors are all accomplished scientists. I have known Moneen Jones for several years now, since our post-doc days at the University of Florida, and she has always displayed a high level of passion and dedication for entomology." Siddharth Tiwari, PhD, Biology Project Leader, Global Insecticides, BASF Corporation, Research Triangle Park, United StatesBioassays with Arthropods, Third Edition acts as a sort of bible for those who design and conduct bioassays with arthropods and interpret bioassay data. This book is written in a reader-friendly language and explains statistical concepts in simple terms without using much of mathematical symbols. This approach makes it easier for biology students to understand the analysis and interpretation of bioassay data. I used earlier editions of this book as a graduate student to understand interpretations of POLO outputs. In this edition, the authors have included more details in each chapter for readers to understand concepts missing in earlier editions, and added a new chapter on population toxicology. This new edition is a must for anyone interested in design and analysis of arthropod bioassays. I am very much looking forward to the publication of the third edition.Ashfaq A. Sial, Assistant Professor and IPM Coordinator, Department of Entomology, University of Georgia Praise for Previous EditionsBioassays with Arthropods is an excellent deskto

Autorentext

Jacqueline L. Robertson, Moneen Marie Jones, Efren Olguin, Brad Alberts

Inhalt

Introduction. Quantal Response Bioassays. Binary Quantal Response with One Explanatory Variable. Binary Quantal Response: Data Analyses. Binary Quantal Response: Dose Number, Dose Selection, and Sample Size. Natural Variation in Response. Quarantine Statistics. Statistical Analyses of Data from Bioassays with Microbial Products. Pesticide Resistance. Mixtures. Time as a Variable. Binary Quantal Response with Multiple Explanatory Variables. Multiple Explanatory Variables: Body Weight. Polytomous (Multinominal) Quantal Response. Improving Prediction Based on Dose-Response Bioassays.