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.

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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

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