Title of article :
Identification of sources of resistance to the black bean aphid, Aphis fabae Scopoli, in Faba bean, Vicia faba L., accessions
Author/Authors :
Béji، Balkis نويسنده Université de Tunis El Manar, Faculté des Sciences de Tunis, 2092 El-Manar, Tunisia. , , Bouhachem-Boukhris، Sonia نويسنده Université de Carthage, Institut National de Recherches Agronomiques de Tunisie (INRAT), 2080 Ariana, Tunisia. , , Bouktila، Dhia نويسنده Higher Institute of Biotechnology of Béja, University of Jendouba, Tunisia. , , Mezghani-Khemakhem، Maha نويسنده Research Unit on Genomics of Crop Insect Pests (GIRC), Faculty of Sciences of Tunis, University of Tunis-El-Manar, Tunisia. , , Rezgui، Salah نويسنده Université de Carthage, Institut National Agronomique de Tunisie (INAT), Tunis, Tunisia. , , Kharrat، Mohamed نويسنده Université de Carthage, Institut National de Recherches Agronomiques de Tunisie (INRAT), 2080 Ariana, Tunisia. , , Makni، Mohamed نويسنده Research Unit on Genomics of Crop Insect Pests (GIRC), Faculty of Sciences of Tunis, University of Tunis-El-Manar, Tunisia. , , Makni، Hanem نويسنده Université de Tunis, Institut Supérieur de l’Animation pour la Jeunesse et la Culture (ISAJC), Bir-El-Bey, Tunisia. ,
Issue Information :
فصلنامه با شماره پیاپی 15 سال 2015
Pages :
8
From page :
217
To page :
224
Abstract :
In several parts of the world, important yield losses are caused to Faba bean due to attack by the black bean aphid Aphis fabae Scopoli. Although resistance could be a good alternative to chemical control, its genetic basis is still largely unknown; and its phenotypic expression is still poorly described, making crucial the permanent evaluation of genetic resources available in different countries; together with using adequate agronomic parameters and statistical inference. In this study, two Faba bean collections provided by Faba bean breeding programs of Tunisia and Spain were evaluated for resistance to A. fabae during two consecutive years in the field, based on infestation rates and three yield parameters: number of grains (NG), weight of grains (WG) and weight of pods (WP). Principal components analysis (PCA) showed that the most effective parameters contributing to response variation were the weight of pods (WP) and the number of grains (NG). Genotypes were grouped based on clustering patterns inferred from PCA and UPGMA, both showing the existence of two distinct groups: a resistant group characterized by high WP; and in most cases high NG values; and a susceptible group characterized by a low WP; and in most cases a low NG + WG. Furthermore, tolerance to infestation was identified in one genotype from the Spanish collection. Our results demonstrate that WP is the most reliable parameter for resistance selection; and that the genotypes V1, V9 and V16 from the Tunisian collection and V2e and V7e from the Spanish one should be exploited for their resistance potential.
Journal title :
Journal of Crop Protection
Serial Year :
2015
Journal title :
Journal of Crop Protection
Record number :
2338181
Link To Document :
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