Application of multivariate methods to identify outstanding broad bean cultivars for the State of Mexico, Mexico

Authors

  • Delfina de Jesús Pérez López Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • Andrés González Huerta Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • Omar Franco Mora Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • Martín Rubí Arriaga Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • José Francisco Ramírez Dávila Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • Álvaro Castañeda Vildózola Centro de Investigación y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agrícolas, Universidad Autónoma del Estado de México. El Cerrillo Piedras Blancas, Municipio de Toluca, Estado de México. A. P. 435. Tel. y Fax. 01 (722) 2965518. Ext. 148
  • Jesús Gaudencio Aquino Martínez Instituto de Investigación y Capacitación Agropecuaria, Acuícola y Forestal del Estado de México (ICAMEX), Laboratorio de Fitopatología. Conjunto SEDAGRO s/n. Metepec, Estado de México, México. C. P. 52140. Tel. 01 (722) 2322116

DOI:

https://doi.org/10.29312/remexca.v5i2.965

Keywords:

Vicia faba L., principal component analysis, cluster analysis, AMMI model, High Valley of Central Mexico

Abstract

The application of multivariate techniques to study the interrelationships between cultivars, environments, variables or their interactions is a valuable tool for identifying outstanding genetic material. This study was conducted in the spring - summer 2011 in San Nicolás Guadalupe (SF), San Mateo Otzacatipan (MO) and Toluca (M), State of Mexico, with the main objective of analyzing the interrelationships between 36 cultivars of broad bean (Vicia faba L.), three locations, and 12 variables. We used the model of additive main effects and multiplicative interaction (AMMI model) and principal component analysis and cluster analysis. The three methods allowed to identify cultivars, environments and salient variables. SF and M were the best seats for the evaluation of genetic material. Cultivars identified as 1, 5, 7 and 36 were superior in the total weight of seed pods per plant, weight of pod per plant, number of seeds per plant, weight of 100 seeds, clean seed weight, seed number clean and number of seeds per pod, they could be used in a breeding program in technology generation, in increasing or seed exchange by farmers who planted or used in commercial planting in the Central State of Mexico, Mexico.

Downloads

Download data is not yet available.

Downloads

Published

2018-03-08

How to Cite

Pérez López Delfina de Jesús, González Huerta Andrés, Omar Franco Mora, Rubí Arriaga Martín, Ramírez Dávila José Francisco, Castañeda Vildózola Álvaro, and Aquino Martínez Jesús Gaudencio. 2018. “Application of Multivariate Methods to Identify Outstanding Broad Bean Cultivars for the State of Mexico, Mexico”. Revista Mexicana De Ciencias Agrícolas 5 (2). México, ME:265-78. https://doi.org/10.29312/remexca.v5i2.965.

Issue

Vol. 5 No. 2 (2014)

Section

Articles

License

The authors who publish in Revista Mexicana de Ciencias Agrícolas accept the following conditions:

In accordance with copyright laws, Revista Mexicana de Ciencias Agrícolas recognizes and respects the authors’ moral right and ownership of property rights which will be transferred to the journal for dissemination in open access. Invariably, all the authors have to sign a letter of transfer of property rights and of originality of the article to Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP) [National Institute of Forestry, Agricultural and Livestock Research]. The author(s) must pay a fee for the reception of articles before proceeding to editorial review.      

All the texts published by Revista Mexicana de Ciencias Agrícolas —with no exception— are distributed under a Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which allows third parties to use the publication as long as the work’s authorship and its first publication in this journal are mentioned.

The author(s) can enter into independent and additional contractual agreements for the nonexclusive distribution of the version of the article published in Revista Mexicana de Ciencias Agrícolas (for example include it into an institutional repository or publish it in a book) as long as it is clearly and explicitly indicated that the work was published for the first time in Revista Mexicana de Ciencias Agrícolas.

For all the above, the authors shall send the Letter-transfer of Property Rights for the first publication duly filled in and signed by the author(s). This form must be sent as a PDF file to: revista_atm@yahoo.com.mx; cienciasagricola@inifap.gob.mx; remexca2017@gmail.

 

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 International license.

Most read articles by the same author(s)

<< < 1 2