Data analysis manual for coconut researchers
This publication on "Data Analysis Manual for Coconut Researchers" provides basic statistical concepts and includes: sampling methods, frequency distribution of observations, estimation and tests of significance, analysis and relationships between variables, basic principles for planning and conducting coconut field trials, basic experimental designs for coconut trials, experimental designs for coconut trials with modified blocking, experimental designs for multiple factors, analysis of multilocation trials, and multivariate analysis and determination of genetic distance. The manual provide details of experimental designs to use in agronomic, breeding trails and germplasm characterization and evaluation. The data used for most of the examples in this manual are actual research data on coconut generated at the Central Plantation Crops Research Institute (CPCRI), Kasaragod, India. Almost all the analyses described in this manual have been described with some suitable examples and step-by-step procedures. Using this tutorial-type manual, coconut researchers as well as other researchers can practice computation by themselves using the examples provided in this manual and then use the same procedure to analyze their own data. The manual also include introduction to ?R? and its use to perform statistical analysis for data presentation in this manual and are presented as Appendices. It is therefore expected that this publication will help the scientific community to better plan and manage their experiments and, analyze and interpret their experimental data.
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Format: | book biblioteca |
Language: | eng |
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Bioversity International
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Subjects: | U10 - Informatique, mathématiques et statistiques, F30 - Génétique et amélioration des plantes, Cocos nucifera, http://aims.fao.org/aos/agrovoc/c_1716, |
Online Access: | http://agritrop.cirad.fr/548718/ |
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dig-cirad-fr-5487182022-04-21T07:40:40Z http://agritrop.cirad.fr/548718/ http://agritrop.cirad.fr/548718/ Data analysis manual for coconut researchers. Mathur P.N., Muralidharan K., Parthasarathy Villupanoor Alwar, Batugal Pons, Bonnot François. 2008. Rome : Bioversity International, 252 p. (Bioversity technical bulletin, 14) ISBN 978-92-9043-736-9 Researchers Data analysis manual for coconut researchers Mathur, P.N. Muralidharan, K. Parthasarathy, Villupanoor Alwar Batugal, Pons Bonnot, François eng 2008 Bioversity International U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 This publication on "Data Analysis Manual for Coconut Researchers" provides basic statistical concepts and includes: sampling methods, frequency distribution of observations, estimation and tests of significance, analysis and relationships between variables, basic principles for planning and conducting coconut field trials, basic experimental designs for coconut trials, experimental designs for coconut trials with modified blocking, experimental designs for multiple factors, analysis of multilocation trials, and multivariate analysis and determination of genetic distance. The manual provide details of experimental designs to use in agronomic, breeding trails and germplasm characterization and evaluation. The data used for most of the examples in this manual are actual research data on coconut generated at the Central Plantation Crops Research Institute (CPCRI), Kasaragod, India. Almost all the analyses described in this manual have been described with some suitable examples and step-by-step procedures. Using this tutorial-type manual, coconut researchers as well as other researchers can practice computation by themselves using the examples provided in this manual and then use the same procedure to analyze their own data. The manual also include introduction to ?R? and its use to perform statistical analysis for data presentation in this manual and are presented as Appendices. It is therefore expected that this publication will help the scientific community to better plan and manage their experiments and, analyze and interpret their experimental data. book info:eu-repo/semantics/book Book info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=203687 |
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U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 |
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U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 Mathur, P.N. Muralidharan, K. Parthasarathy, Villupanoor Alwar Batugal, Pons Bonnot, François Data analysis manual for coconut researchers |
description |
This publication on "Data Analysis Manual for Coconut Researchers" provides basic statistical concepts and includes: sampling methods, frequency distribution of observations, estimation and tests of significance, analysis and relationships between variables, basic principles for planning and conducting coconut field trials, basic experimental designs for coconut trials, experimental designs for coconut trials with modified blocking, experimental designs for multiple factors, analysis of multilocation trials, and multivariate analysis and determination of genetic distance. The manual provide details of experimental designs to use in agronomic, breeding trails and germplasm characterization and evaluation. The data used for most of the examples in this manual are actual research data on coconut generated at the Central Plantation Crops Research Institute (CPCRI), Kasaragod, India. Almost all the analyses described in this manual have been described with some suitable examples and step-by-step procedures. Using this tutorial-type manual, coconut researchers as well as other researchers can practice computation by themselves using the examples provided in this manual and then use the same procedure to analyze their own data. The manual also include introduction to ?R? and its use to perform statistical analysis for data presentation in this manual and are presented as Appendices. It is therefore expected that this publication will help the scientific community to better plan and manage their experiments and, analyze and interpret their experimental data. |
format |
book |
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U10 - Informatique, mathématiques et statistiques F30 - Génétique et amélioration des plantes Cocos nucifera http://aims.fao.org/aos/agrovoc/c_1716 |
author |
Mathur, P.N. Muralidharan, K. Parthasarathy, Villupanoor Alwar Batugal, Pons Bonnot, François |
author_facet |
Mathur, P.N. Muralidharan, K. Parthasarathy, Villupanoor Alwar Batugal, Pons Bonnot, François |
author_sort |
Mathur, P.N. |
title |
Data analysis manual for coconut researchers |
title_short |
Data analysis manual for coconut researchers |
title_full |
Data analysis manual for coconut researchers |
title_fullStr |
Data analysis manual for coconut researchers |
title_full_unstemmed |
Data analysis manual for coconut researchers |
title_sort |
data analysis manual for coconut researchers |
publisher |
Bioversity International |
url |
http://agritrop.cirad.fr/548718/ |
work_keys_str_mv |
AT mathurpn dataanalysismanualforcoconutresearchers AT muralidharank dataanalysismanualforcoconutresearchers AT parthasarathyvillupanooralwar dataanalysismanualforcoconutresearchers AT batugalpons dataanalysismanualforcoconutresearchers AT bonnotfrancois dataanalysismanualforcoconutresearchers |
_version_ |
1758021957824020480 |