Next Article in Journal
N2O Emission and Mineral N Release in a Tropical Acrisol Incorporated with Mixed Cowpea and Maize Residues
Next Article in Special Issue
Impact of Genomic Technologies on Chickpea Breeding Strategies
Previous Article in Journal / Special Issue
Development of Genomic Resources in the Species of Trifolium L. and Its Application in Forage Legume Breeding
Article Menu

Export Article

Open AccessReview
Agronomy 2012, 2(3), 132-166; doi:10.3390/agronomy2030132

Impact of Molecular Technologies on Faba Bean (Vicia faba L.) Breeding Strategies

Department of Primary Industries, Biosciences Research Division, Grains Innovation Park, Private Bag 260, Horsham, Victoria 3401, Australia
School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Glen Osmond, South Australia 5064, Australia
IFAPA, Centre Alameda del Obispo, Breeding and Biotechnology Area, Apdo. 3092, Córdoba E-14080, Spain
Department of Primary Industries, Biosciences Research Division, VABC, 1 Park Drive, Bundoora, Victoria 3083, Australia
Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), 12 Zhong Guan Cun South Street, Haidian District, Beijing 100081, China
Author to whom correspondence should be addressed.
Received: 10 May 2012 / Revised: 3 June 2012 / Accepted: 4 June 2012 / Published: 4 July 2012
(This article belongs to the Special Issue Impact of Genomics Technologies on Crop Breeding Strategies)
View Full-Text   |   Download PDF [303 KB, uploaded 4 July 2012]   |  


Faba bean (Vicia faba L.) is a major food and feed legume because of the high nutritional value of its seeds. The main objectives of faba bean breeding are to improve yield, disease resistance, abiotic stress tolerance, seed quality and other agronomic traits. The partial cross-pollinated nature of faba bean introduces both challenges and opportunities for population development and breeding. Breeding methods that are applicable to self-pollinated crops or open-pollinated crops are not highly suitable for faba bean. However, traditional breeding methods such as recurrent mass selection have been established in faba bean and used successfully in breeding for resistance to diseases. Molecular breeding strategies that integrate the latest innovations in genetics and genomics with traditional breeding strategies have many potential applications for future faba bean cultivar development. Hence, considerable efforts have been undertaken in identifying molecular markers, enriching genetic and genomic resources using high-throughput sequencing technologies and improving genetic transformation techniques in faba bean. However, the impact of research on practical faba bean breeding and cultivar release to farmers has been limited due to disconnects between research and breeding objectives and the high costs of research and implementation. The situation with faba bean is similar to other small crops and highlights the need for coordinated, collaborative research programs that interact closely with commercially focused breeding programs to ensure that technologies are implemented effectively. View Full-Text
Keywords: biotic stress; abiotic stress; traditional breeding; molecular markers; marker-assisted selection; molecular breeding; genomics biotic stress; abiotic stress; traditional breeding; molecular markers; marker-assisted selection; molecular breeding; genomics

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gnanasambandam, A.; Paull, J.; Torres, A.; Kaur, S.; Leonforte, T.; Li, H.; Zong, X.; Yang, T.; Materne, M. Impact of Molecular Technologies on Faba Bean (Vicia faba L.) Breeding Strategies. Agronomy 2012, 2, 132-166.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top