Statistical analysis (GLMM) for: Implications of the existence of separated sexual forms of Opuntia robusta for plant defense hypotheses (doi:10.7910/DVN/USSQ3F)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Statistical analysis (GLMM) for: Implications of the existence of separated sexual forms of Opuntia robusta for plant defense hypotheses

Identification Number:

doi:10.7910/DVN/USSQ3F

Distributor:

Harvard Dataverse

Date of Distribution:

2020-08-13

Version:

1

Bibliographic Citation:

Janczur, Mariusz Krzysztof; Sandoval-Molina, Mario Alberto; González-Camarena, Emilio, 2020, "Statistical analysis (GLMM) for: Implications of the existence of separated sexual forms of Opuntia robusta for plant defense hypotheses", https://doi.org/10.7910/DVN/USSQ3F, Harvard Dataverse, V1, UNF:6:1olteIpxz9qqtQ6OSX72Xg== [fileUNF]

Study Description

Citation

Title:

Statistical analysis (GLMM) for: Implications of the existence of separated sexual forms of Opuntia robusta for plant defense hypotheses

Subtitle:

Separated sexual forms of Opuntia robusta: Statistical analysis (GLMM).

Identification Number:

doi:10.7910/DVN/USSQ3F

Authoring Entity:

Janczur, Mariusz Krzysztof (Universidad Autónoma del Estado de México)

Sandoval-Molina, Mario Alberto (Instituto de Ecología A.C., Red de Ecología Funcional. Carretera Antigua a Coatepec 351, El Haya, Xalapa, Veracruz 91070, México.)

González-Camarena, Emilio (Universidad Autónoma del Estado de México)

Other identifications and acknowledgements:

Sandoval-Molina, Mario Alberto

Other identifications and acknowledgements:

Janczur, Mariusz Krzysztof

Producer:

Janczur, Mariusz Krzysztof

Date of Production:

2020-08-09

Grant Number:

180694

Distributor:

Harvard Dataverse

Distributor:

Janczur, Mariusz Krzysztof

Access Authority:

Janczur, Mariusz Krzysztof

Depositor:

Janczur, Mariusz Krzysztof

Date of Deposit:

2020-08-10

Date of Distribution:

2020-08-09

Holdings Information:

https://doi.org/10.7910/DVN/USSQ3F

Study Scope

Keywords:

Medicine, Health and Life Sciences, Opuntia robusta, trioecious populations, plant sexual forms, female plants, hermaphrodite plants, secondary metabolites, 4-Hydroxybenzoic acid, Chlorogenic acid, Quercetin

Topic Classification:

Plant defense against herbivores

Abstract:

We analyze the effect of different variables on the concentrations of 4-Hydroxybenzoic acid (4-HBA), chlorogenic acid (CGA) and quercetin (QUE) in female and hermaphrodite individuals of Opuntia robusta from San Nicolas Tecoaso, Municipality of Singuilucan, Hidalgo State, Central Mexico, using general linear mixed models (GLMM). To analyze the effect of months and age on 4-HBA concentrations, we used the Gamma error distribution (GED) and the inverse link function. For the effect of months on CGA concentrations, we used GED and log link functions. For the effect of cladode age on CGA concentrations, GED and inverse link functions. For the effect of months on QUE concentration, GED and log link functions. For the effect of cladode age on QUE concentration, GED and inverse link function. For the models that related substances with cladode length, width and thickness, we used different models: for 4-HBA concentrations we used a GED with square root link function. For CGA concentrations, GED and identity link function, and for QUE concentrations, GED and inverse link function. To test the effect of cladodes order from soil on the concentrations of the three substances, we used GED and square root link function. To test the effect of the number of cladodes above a given cladode on the concentrations of the three substances, we used GED and inverse link function. We checked the goodness of fit of the linear models (GLMM) by plotting the standardized residuals against fitted values and by normal QQ‐plots, and revised the assumptions of the homoscedasticity, proper distribution used, and independence. We chose the best GLM model used in this study according to the lowest AIC (Akaike, 1974; Akaike, 1987).

Time Period:

2014-03-01-2017-06-30

Date of Collection:

2014-03-01-2017-06-30

Kind of Data:

Concentrations of secondary metabolites in cladodes of Opuntia robusta

Methodology and Processing

Sources Statement

Data Access

Location:

Harvard Dataverse only

Availability Status:

Not embargoed

Extent of Collection:

There exist only one file containing data. The other file contains the results of the statistical analyses.

Completeness of Study Stored:

This is the complete data gathered during the part of the study concerning the production of secondary metabolites in Opuntia robusta.

Confidentiality Declaration:

As far as I know, the use of this data does not affect interests of any third party person or organization. It may affect only the authors of the data if not used in accordance of this Term of use.

Special Permissions:

N/A

Access Authority:

Mariusz Krzysztof Janczur majmx@interia.pl majmx@yahoo.com.mx majmx@biolevolmex.com

Citation Requirement:

You should cite the data as provided by Harvard Dataverse.

Deposit Requirement:

Do not use this data for publication without citing them. If the data are used extensively in your study, please, consider including the owner of the data as coauthor. Do not provide the data to other persons: each interested person should download them personally from Harvard Dataverse.

Conditions:

Standard Harvard Dataverse conditions

Disclaimer:

I whereby declare that I financed the collection of the data uploaded here and participated in the fieldwork. Also I declare that I was the project owner.

Notes:

You can use the data for statistical analysis, to generate figure derived from statistical analysis, to generate figure derived from community ecology methods, always when you cite the data together with authors.

On requeset

Other Study Description Materials

File Description--f4022974

File: Supplementary Table S1.tab

  • Number of cases: 4

  • No. of variables per record: 1

  • Type of File: text/tab-separated-values

Notes:

UNF:6:1olteIpxz9qqtQ6OSX72Xg==

Morphometric traits, cladode order counted from soil, number of cladodes above a given clacode, date of sampling, spine color (cladode age estimator) absorbanse (surface belowe the absorbance curve), calibrations equations, and concentration of 4-hydroxybenzoic acid (4-HBA), quercetine (QUE), salicilic acid (SAL), and chlorogenic acid (CGA) obtained from the calibration equations for females and hermafrodite cladodes

Variable Description

List of Variables:

Variables

Morphometrictraits,cladodeordercountedfromsoil,numberofcladodesaboveagivenclacode,dateofsampling,

f4022974 Location:

Variable Format: character

Notes: UNF:6:1olteIpxz9qqtQ6OSX72Xg==

Other Study-Related Materials

Label:

Supplementary Table S5.docx

Text:

We analyze the effect of different variables on the concentrations of 4-Hydroxybenzoic acid (4-HBA), chlorogenic acid (CGA) and quercetin (QUE) in female and hermaphrodite individuals of Opuntia robusta from San Nicolas Tecoaso, Municipality of Singuilucan, Hidalgo State, Central Mexico, using general linear mixed models (GLMM). To analyze the effect of months and age on 4-HBA concentrations, we used the Gamma error distribution (GED) and the inverse link function. For the effect of months on CGA concentrations, we used GED and log link functions. For the effect of cladode age on CGA concentrations, GED and inverse link functions. For the effect of months on QUE concentration, GED and log link functions. For the effect of cladode age on QUE concentration, GED and inverse link function. For the models that related substances with cladode length, width and thickness, we used different models: for 4-HBA concentrations we used a GED with square root link function. For CGA concentrations, GED and identity link function, and for QUE concentrations, GED and inverse link function. To test the effect of cladodes order from soil on the concentrations of the three substances, we used GED and square root link function. To test the effect of the number of cladodes above a given cladode on the concentrations of the three substances, we used GED and inverse link function. We checked the goodness of fit of the linear models (GLMM) by plotting the standardized residuals against fitted values and by normal QQ‐plots, and revised the assumptions of the homoscedasticity, proper distribution used, and independence. We chose the best GLM model used in this study according to the lowest AIC (Akaike, 1974; Akaike, 1987). (2020-08-09)

Notes:

application/vnd.openxmlformats-officedocument.wordprocessingml.document