Bioassays with arthropods:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2007
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Früher u.d.T.: Robertson, Jacqueline L.: Pesticide bioassays with arthropods |
| Beschreibung: | XXII, 199 S. Ill., Tab. |
| ISBN: | 0849323312 9780849323317 |
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| 245 | 1 | 0 | |a Bioassays with arthropods |c Jacqueline L. Robertson ... |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2007 | |
| 300 | |a XXII, 199 S. |b Ill., Tab. | ||
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| 650 | 4 | |a Pesticides |x Environmental aspects |x Measurement | |
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| adam_text | Table of Contents
Preface to the Second Edition...........................................................................xiii
Authors..................................................................................................................xxi
Chapter 1 Introduction......................................................................................1
References.................................................................................................................8
Chapter 2 Quantal Response Bioassays.......................................................11
I. Types of Quantal Response Bioassays...........................................................12
II. Experimental Design of Bioassays................................................................13
A. Randomization........................................................................................14
B. Treatments................................................................................................14
C. Controls....................................................................................................15
D. Replication...............................................................................................16
E. Order of Treatments within a Replication..........................................17
III. Computer Programs.......................................................................................18
References...............................................................................................................18
Chapter 3 Binary Quantal Response with One Explanatory
Variable..........................................................................................................21
I. Terminology and General Statistical Model.................................................22
II. Statistical Methods...........................................................................................23
A. Probit or Logit Regression....................................................................23
1. Goodness of Fit...........................................................................24
2. Lethal Dose Ratios......................................................................26
B. Hypotheses Tests.....................................................................................28
1. Regression Lines..........................................................................28
2. Point estimates............................................................................29
3. Groups of Lines with Equal Response....................................31
C. Alternatives to Probit and Logit Analysis..........................................31
References...............................................................................................................32
Chapter 4 Binary Quantal Response: Data Analyses................................35
I. PoloPlus...............................................................................................................35
A. Data...........................................................................................................36
B. Choice Screens and Program Options.................................................38
mi
i iii Table of Contents
C. Display Results........................................................................................39
1. Options.........................................................................................39
2. Parameters....................................................................................40
3. Individual Regressions...............................................................40
4. Hypotheses Tests.........................................................................44
5. Lethal Dose Ratios......................................................................44
D. Display Summary (summary.txt screen)............................................45
E. Plot .... ...................................... ..................................................................46
F. Conclusions...............................................................................................51
II. SAS.....................................................................................................................51
III. R and S-PLUS..................................................................................................52
References...............................................................................................................54
Chapter 5 Binary Quantal Response: Dose Number, Dose
Selection, and Sample Size........................................................................55
I. PoloDose...............................................................................................................57
II. Basic Binary Bioassays....................................................................................58
III. Specialized Binary Bioassays........................................................................62
IV. Practical Considerations................................................................................66
A. Basic Bioassays........................................................................................66
B. Specialized Bioassays..............................................................................67
V. Reality Checklist for Bioassays......................................................................67
References...............................................................................................................68
Chapter 6 Natural Variation in Response....................................................71
I. Definition............................................................................................................72
II. Statistical Boundaries of Natural Variation.................................................72
III. Levels of Variation..........................................................................................72
A. Sibling Groups........................................................................................72
B. Cohorts within a Single Generation.....................................................73
C. Developmental Stage..............................................................................74
References...............................................................................................................75
Chapter 7 Quarantine Statistics.....................................................................77
I. Tolerance Distributions in Quarantine Security...........................................78
A. Laboratory Bioassays to Estimate the Q9 in a
Confirmatory Test...........................................................................79
1. Differences in Estimates Depending on
Tolerance Distribution.....................................................79
2. General Formula for Selection of Dose in a Confirmatory
Test Based on Laboratory Bioassays.............................80
3. Dose Placement and Sample Size Requirements for
Estimation of a Q9 in Bioassays.....................................80
4. Varietal Differences.....................................................................81
B. Confirmatory Tests..................................................................................83
II, Ecological Approaches to Quarantine Security: Risk................................84
Table of Contents ix
A. The Alternative Efficacy Approach for Species on Poor Hosts......84
B. Risk for Preferred Hosts and Heavy Infestations:
Systems Approach...........................................................................85
HI. Conclusions.....................................................................................................85
References...............................................................................................................86
Chapter 8 Statistical Analyses of Data from Bioassays with
Microbial Products.......................................................................................89
I. Biological Units and Standards.......................................................................90
II. A Revised Definition of Relative Potency...................................................90
III. Effects of Natural Variation on Product Quality......................................91
IV. Conclusions......................................................................................................96
References...............................................................................................................96
Chapter 9 Pesticide Resistance.......................................................................99
I. Resistance Defined..........................................................................................100
II. Natural Variation versus Resistance...........................................................101
III. Use of Bioassays to Separate Populations and Strains..........................101
A. Population Bioassays...........................................................................101
B. Response Ratios.....................................................................................102
C. Selection of a Discriminating Dose....................................................102
IV. Statistical Models of Modes of Resistance Inheritance..........................103
A. Standard Method of Analysis with Bioassay Data.........................103
1. Degree of Dominance...............................................................104
2. Hypothesis Testing...................................................................104
B. Inferences Using the Standard Method.............................................105
1. Mode of Inheritance.................................................................105
2. Binomial Distribution...............................................................106
3. Both Mode of Inheritance and Binomial Distribution........106
4. Other Causes for Bad Fit.........................................................107
C. Examples................................................................................................108
1. Dose-Response Bioassays........................................................108
2. Dose-Mortality Lines................................................................108
3. Estimation of Overdispersion.................................................109
4. Mode of Inheritance of Cyhexatin Resistance.....................110
5. Mode of Inheritance of Propargite Resistance.....................112
V. Host-Insect Interaction and the Expression of Resistance......................112
References.............................................................................................................112
Chapter 10 Mixtures.......................................................................................117
I. Independent, Uncorrelated Joint Action of Pesticide Mixtures..............118
A. A Statistical Model...............................................................................119
B. A Test of Hypothesis of Independent Joint Action.........................119
C PoloMix...... .............................................................................................120
1. Data Input Files.........................................................................120
2. Running PoloMix.......................................................................121
x Table of Contents
3. Program Output........................................................................121
II. Similar (Additive) Joint Action....................................................................122
III. Other Theoretical Hypotheses of Joint Action of Pesticides.................123
IV. Synergists.......................................................................................................124
V. Conclusions.....................................................................................................125
References.............................................................................................................126
Chapter 11 Time as a Variable......................................................................129
I. Purposes of Studies Involving Time............................................................129
II. Sampling Designs..........................................................................................130
A. Alternatives............................................................................................130
B. General Statistical Models...................................................................130
III. Analysis of Independent Time-Mortality Data........................................131
A. Experimental Design............................................................................131
B. Limitations and Constraints................................................................132
IV. Analysis of Serial Time-Mortality Data.....................................................133
A. Experimental Design............................................................................133
B. Statistical Methods................................................................................134
C. Estimation..............................................................................................135
1. Estimation of Response Probabilities....................................135
2. Estimation of Lethal Doses over Time..................................136
3. Example......................................................................................137
V. Conclusions.....................................................................................................144
References.............................................................................................................144
Chapter 12 Binary Quantal Response with Multiple
Explanatory Variables...............................................................................147
I. Early Examples and Inefficient Alternatives..............................................147
II. A General Statistical Model.........................................................................148
III. Types of Variables in Multiple Regression Models................................149
IV. Computer Programs.....................................................................................149
V. Multiple Probit Analysis: An Example from PoloEncore.........................150
A. A Statistical Model...............................................................................151
B. Hypothesis Tests....................................................................................151
C. Data Analysis with PoloEncore............................................................152
VI. Multiple Logit Analysis: Sample of Analysis with GLIM.....................155
A. Statistical Model....................................................................................156
B. Hypothesis Tests....................................................................................157
C. Search for the Best-Fitting Dose-Mortality Model..........................157
D. An Example: Acephate........................................................................158
1. Significance of Average Body Weight....................................158
2. Parallelism of the Logit Lines.................................................158
3. Best-Fitting Logit Line..............................................................158
VII. Conclusions..................................................................................................161
References.............................................................................................................161
Table of Contents xi
Chapter 13 Multiple Explanatory Variables: Body Weight....................163
I. Effects of Erroneous Assumptions about Body Weight............................164
II. Testing the Hypothesis of Proportional Response...................................166
III. When Body Weight Is a Significant Independent Variable...................169
IV. Standardized Bioassay Techniques Involving Weight............................175
V. Conclusions.....................................................................................................176
References.............................................................................................................176
Chapter 14 Polytomous (Multinomial) Quantal Response....................179
I. Example............................................................................................................180
II. The Multinomial Logit Model.....................................................................181
A. Statistical Model....................................................................................182
B. Estimation of Parameters.....................................................................182
C. Data Analysis.........................................................................................183
III. Conclusions...................................................................................................185
References.............................................................................................................186
Chapter 15 Improving Prediction Based on Dose-Response
Bioassays......................................................................................................187
References.............................................................................................................190
Index.....................................................................................................................193
|
| adam_txt |
Table of Contents
Preface to the Second Edition.xiii
Authors.xxi
Chapter 1 Introduction.1
References.8
Chapter 2 Quantal Response Bioassays.11
I. Types of Quantal Response Bioassays.12
II. Experimental Design of Bioassays.13
A. Randomization.14
B. Treatments.14
C. Controls.15
D. Replication.16
E. Order of Treatments within a Replication.17
III. Computer Programs.18
References.18
Chapter 3 Binary Quantal Response with One Explanatory
Variable.21
I. Terminology and General Statistical Model.22
II. Statistical Methods.23
A. Probit or Logit Regression.23
1. Goodness of Fit.24
2. Lethal Dose Ratios.26
B. Hypotheses Tests.28
1. Regression Lines.28
2. Point estimates.29
3. Groups of Lines with Equal Response.31
C. Alternatives to Probit and Logit Analysis.31
References.32
Chapter 4 Binary Quantal Response: Data Analyses.35
I. PoloPlus.35
A. Data.36
B. Choice Screens and Program Options.38
mi
i'iii Table of Contents
C. Display Results.39
1. Options.39
2. Parameters.40
3. Individual Regressions.40
4. Hypotheses Tests.44
5. Lethal Dose Ratios.44
D. Display Summary (summary.txt screen).45
E. Plot .'.'.46
F. Conclusions.51
II. SAS.51
III. R and S-PLUS.52
References.54
Chapter 5 Binary Quantal Response: Dose Number, Dose
Selection, and Sample Size.55
I. PoloDose.57
II. Basic Binary Bioassays.58
III. Specialized Binary Bioassays.62
IV. Practical Considerations.66
A. Basic Bioassays.66
B. Specialized Bioassays.67
V. Reality Checklist for Bioassays.67
References.68
Chapter 6 Natural Variation in Response.71
I. Definition.72
II. Statistical Boundaries of Natural Variation.72
III. Levels of Variation.72
A. Sibling Groups.72
B. Cohorts within a Single Generation.73
C. Developmental Stage.74
References.75
Chapter 7 Quarantine Statistics.77
I. Tolerance Distributions in Quarantine Security.78
A. Laboratory Bioassays to Estimate the Q9 in a
Confirmatory Test.79
1. Differences in Estimates Depending on
Tolerance Distribution.79
2. General Formula for Selection of Dose in a Confirmatory
Test Based on Laboratory Bioassays.80
3. Dose Placement and Sample Size Requirements for
Estimation of a Q9 in Bioassays.80
4. Varietal Differences.81
B. Confirmatory Tests.83
II, Ecological Approaches to Quarantine Security: Risk.84
Table of Contents ix
A. The Alternative Efficacy Approach for Species on Poor Hosts.84
B. Risk for Preferred Hosts and Heavy Infestations:
Systems Approach.85
HI. Conclusions.85
References.86
Chapter 8 Statistical Analyses of Data from Bioassays with
Microbial Products.89
I. Biological Units and Standards.90
II. A Revised Definition of Relative Potency.90
III. Effects of Natural Variation on Product Quality.91
IV. Conclusions.96
References.96
Chapter 9 Pesticide Resistance.99
I. Resistance Defined.100
II. Natural Variation versus Resistance.101
III. Use of Bioassays to Separate Populations and Strains.101
A. Population Bioassays.101
B. Response Ratios.102
C. Selection of a Discriminating Dose.102
IV. Statistical Models of Modes of Resistance Inheritance.103
A. Standard Method of Analysis with Bioassay Data.103
1. Degree of Dominance.104
2. Hypothesis Testing.104
B. Inferences Using the Standard Method.105
1. Mode of Inheritance.105
2. Binomial Distribution.106
3. Both Mode of Inheritance and Binomial Distribution.106
4. Other Causes for Bad Fit.107
C. Examples.108
1. Dose-Response Bioassays.108
2. Dose-Mortality Lines.108
3. Estimation of Overdispersion.109
4. Mode of Inheritance of Cyhexatin Resistance.110
5. Mode of Inheritance of Propargite Resistance.112
V. Host-Insect Interaction and the Expression of Resistance.112
References.112
Chapter 10 Mixtures.117
I. Independent, Uncorrelated Joint Action of Pesticide Mixtures.118
A. A Statistical Model.119
B. A Test of Hypothesis of Independent Joint Action.119
C PoloMix.'.120
1. Data Input Files.120
2. Running PoloMix.121
x Table of Contents
3. Program Output.121
II. Similar (Additive) Joint Action.122
III. Other Theoretical Hypotheses of Joint Action of Pesticides.123
IV. Synergists.124
V. Conclusions.125
References.126
Chapter 11 Time as a Variable.129
I. Purposes of Studies Involving Time.129
II. Sampling Designs.130
A. Alternatives.130
B. General Statistical Models.130
III. Analysis of Independent Time-Mortality Data.131
A. Experimental Design.131
B. Limitations and Constraints.132
IV. Analysis of Serial Time-Mortality Data.133
A. Experimental Design.133
B. Statistical Methods.134
C. Estimation.135
1. Estimation of Response Probabilities.135
2. Estimation of Lethal Doses over Time.136
3. Example.137
V. Conclusions.144
References.144
Chapter 12 Binary Quantal Response with Multiple
Explanatory Variables.147
I. Early Examples and Inefficient Alternatives.147
II. A General Statistical Model.148
III. Types of Variables in Multiple Regression Models.149
IV. Computer Programs.149
V. Multiple Probit Analysis: An Example from PoloEncore.150
A. A Statistical Model.151
B. Hypothesis Tests.151
C. Data Analysis with PoloEncore.152
VI. Multiple Logit Analysis: Sample of Analysis with GLIM.155
A. Statistical Model.156
B. Hypothesis Tests.157
C. Search for the Best-Fitting Dose-Mortality Model.157
D. An Example: Acephate.158
1. Significance of Average Body Weight.158
2. Parallelism of the Logit Lines.158
3. Best-Fitting Logit Line.158
VII. Conclusions.161
References.161
Table of Contents xi
Chapter 13 Multiple Explanatory Variables: Body Weight.163
I. Effects of Erroneous Assumptions about Body Weight.164
II. Testing the Hypothesis of Proportional Response.166
III. When Body Weight Is a Significant Independent Variable.169
IV. Standardized Bioassay Techniques Involving Weight.175
V. Conclusions.176
References.176
Chapter 14 Polytomous (Multinomial) Quantal Response.179
I. Example.180
II. The Multinomial Logit Model.181
A. Statistical Model.182
B. Estimation of Parameters.182
C. Data Analysis.183
III. Conclusions.185
References.186
Chapter 15 Improving Prediction Based on Dose-Response
Bioassays.187
References.190
Index.193 |
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| id | DE-604.BV022396693 |
| illustrated | Illustrated |
| index_date | 2024-07-02T17:16:48Z |
| indexdate | 2024-07-09T20:56:42Z |
| institution | BVB |
| isbn | 0849323312 9780849323317 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015605427 |
| oclc_num | 122309453 |
| open_access_boolean | |
| owner | DE-M49 DE-BY-TUM DE-188 |
| owner_facet | DE-M49 DE-BY-TUM DE-188 |
| physical | XXII, 199 S. Ill., Tab. |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Bioassays with arthropods Jacqueline L. Robertson ... 2. ed. Boca Raton, Fla. [u.a.] CRC Press 2007 XXII, 199 S. Ill., Tab. txt rdacontent n rdamedia nc rdacarrier Früher u.d.T.: Robertson, Jacqueline L.: Pesticide bioassays with arthropods Arthropods cabt Biological Indicators cabt Pesticides cabt Insecticide Residues cabt Umwelt Pesticides Environmental aspects Measurement Arthropoda Effect of pesticides on Biological assay Pestizid (DE-588)4137948-2 gnd rswk-swf Bioindikator (DE-588)4006841-9 gnd rswk-swf Gliederfüßer (DE-588)4021279-8 gnd rswk-swf Bioassay (DE-588)4201084-6 gnd rswk-swf Pestizidbelastung (DE-588)4173944-9 gnd rswk-swf Gliederfüßer (DE-588)4021279-8 s Pestizid (DE-588)4137948-2 s Bioassay (DE-588)4201084-6 s DE-604 Pestizidbelastung (DE-588)4173944-9 s Bioindikator (DE-588)4006841-9 s b DE-604 Robertson, Jacqueline L. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015605427&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bioassays with arthropods Arthropods cabt Biological Indicators cabt Pesticides cabt Insecticide Residues cabt Umwelt Pesticides Environmental aspects Measurement Arthropoda Effect of pesticides on Biological assay Pestizid (DE-588)4137948-2 gnd Bioindikator (DE-588)4006841-9 gnd Gliederfüßer (DE-588)4021279-8 gnd Bioassay (DE-588)4201084-6 gnd Pestizidbelastung (DE-588)4173944-9 gnd |
| subject_GND | (DE-588)4137948-2 (DE-588)4006841-9 (DE-588)4021279-8 (DE-588)4201084-6 (DE-588)4173944-9 |
| title | Bioassays with arthropods |
| title_auth | Bioassays with arthropods |
| title_exact_search | Bioassays with arthropods |
| title_exact_search_txtP | Bioassays with arthropods |
| title_full | Bioassays with arthropods Jacqueline L. Robertson ... |
| title_fullStr | Bioassays with arthropods Jacqueline L. Robertson ... |
| title_full_unstemmed | Bioassays with arthropods Jacqueline L. Robertson ... |
| title_short | Bioassays with arthropods |
| title_sort | bioassays with arthropods |
| topic | Arthropods cabt Biological Indicators cabt Pesticides cabt Insecticide Residues cabt Umwelt Pesticides Environmental aspects Measurement Arthropoda Effect of pesticides on Biological assay Pestizid (DE-588)4137948-2 gnd Bioindikator (DE-588)4006841-9 gnd Gliederfüßer (DE-588)4021279-8 gnd Bioassay (DE-588)4201084-6 gnd Pestizidbelastung (DE-588)4173944-9 gnd |
| topic_facet | Arthropods Biological Indicators Pesticides Insecticide Residues Umwelt Pesticides Environmental aspects Measurement Arthropoda Effect of pesticides on Biological assay Pestizid Bioindikator Gliederfüßer Bioassay Pestizidbelastung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015605427&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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