Identification of outstanding faba bean populations collected in the State of Mexico

Authors

  • Neri Orozco Colin Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México
  • Delfina de Jesús Pérez López Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Andrés González Huerta Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Omar Franco Mora Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Francisco Gutiérrez Rodríguez Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Martin Rubí Arriaga Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Álvaro Castañeda Vildózola Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148
  • Artemio Balbuena Melgarejo Centro de Investigación y Estudios Avanzados en Fitomejoramiento. Facultad de Ciencias Agrícolas. Universidad Autónoma del Estado de México. Toluca, Estado de México. A. P. 435. Tel. y Fax: 017222965518. Ext.148

DOI:

https://doi.org/10.29312/remexca.v4i6.1160

Keywords:

Vicia faba, combined analysis of variance, genotypes, yield components, yield

Abstract

For the largest bean consumption in low-income sectors in Mexico and lack of availability of commercial varieties; this study was conducted in 2011 in San Mateo Otzacatipan, San Nicolás Guadalupe and Metepec, to evaluate 12 agronomic traits in 36 populations of faba bean (Vicia faba L.) collected in the State of Mexico, in order to select populations with outstanding phenotypic characteristics. The experimental design was randomized complete block with three replications. The data analysis through the locations was done as a series of experiments in space. The experimental plot consisted of three rows of 4 m length and 0.80 m width. Significant differences were detected between populations (G), among environments (A) and G x A interaction in 11 variables. In SNG were recorded the highest average in seed weight and yield components; populations 36, 1, 5 and 7 were the most outstanding. These four populations could be used in a breeding program or technology generation.

Downloads

Download data is not yet available.
Vol. 4, Núm. 6

Downloads

Published

2018-05-02

How to Cite

Orozco Colin, Neri, Pérez López Delfina de Jesús, González Huerta Andrés, Omar Franco Mora, Gutiérrez Rodríguez Francisco, Rubí Arriaga Martin, Castañeda Vildózola Álvaro, and Artemio Balbuena Melgarejo. 2018. “Identification of Outstanding Faba Bean Populations Collected in the State of Mexico”. Revista Mexicana De Ciencias Agrícolas 4 (6). México, ME:921-32. https://doi.org/10.29312/remexca.v4i6.1160.

Issue

Vol. 4 No. 6 (2013)

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 3