Recent Developments in Breeding Field Beans (<i>Vicia faba</i> L.)

Bond, D. A.

doi:10.1111/j.1439-0523.1987.tb01144.x

Cited by 49 publications

(27 citation statements)

References 50 publications

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“…Many factors act to influence population genetic diversity including mating system, gene flow and seed dispersal, geographic range as well as natural selection (Amos and Harwood 1998). Faba bean is partially allogamous, with rates of out-crossing ranging from 10 to 70% and differing between environments and genotypes, which could explain highly heterogeneous populations and heterozygous plants (Bond 1987;Gnanasambandam et al 2012). Hence, there is considerable potential to select within Tunisian populations specific traits such as tolerance to drought stress.…”

Section: Discussionmentioning

confidence: 99%

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Rebaa¹,

Abid²,

Aouida³

et al. 2017

Physiol Mol Biol Plants

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The genetic diversity of 21 faba bean populations was examined using morphological and molecular markers. DNA was extracted from 189 individuals and 8 microsatellite markers were genotyped individually in these 21 populations. A total of 53 alleles were obtained in all populations, with an average of 6.62 alleles per locus. The expected and observed heterozygosity was 0.38 and 0.62 respectively. The average polymorphism index content of SSR markers was 0.61, ranging from 0.31 to 0.81. The unweighted pair group method with arithmetic mean dendrogram clustered all the populations into two groups, each for them subdivided into 3 sub-groups according to geographical origin. Morphological variation showed that the populations were not grouped according to their geographical origin. Therefore, patterns of differentiation of morphological traits did not coincide with molecular differentiation, indicating that morphological variation does not reflect genetic subdivision in studied faba bean populations. Analysis of molecular variance revealed high levels of genetic variation (83%) within population and provides a good base for designing genetic improvement programs. The result of Principal Component Analysis (PCA) revealed that three dimensional principal components (PC1, PC2 and PC3) contributed 40.56% of the total variability and accounted with values of 20.64, 11.22 and 8.70%, respectively. Cluster analysis based on PCA indicated three separate groups of populations. The genetic relationships found between the 21 populations samples were the same in both the PCA and STRUCTURE analysis which support the results observed. These data may serve as a foundation for the development of faba bean breeding programs.

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Section: Discussionmentioning

confidence: 99%

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Rebaa¹,

Abid²,

Aouida³

et al. 2017

Physiol Mol Biol Plants

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“…However, the determinate genotypes presently available yield less than the indeterminate ones, and early flowering genotypes also produce less than late flowering ones (Saxena et al, 1986;Bond, 1987;Pilbeam et al, 1989a). In several grain legumes, it has also been demonstrated that increased seed yields of improved cultivars may be obtained through an increase in total biomass production or through changes in the partitioning of dry matter between vegetative and reproductive organs (in soybean : Egli et al, 1985;Lejeune-Henaut, 1992; peas: Turc, 1988;Dumoulin, 1994;and lupins: Duthion et al, 1987a;Julier et al, 1993 (Dantuma et al, 1983;Pilbeam et al, 1990;Grashoff, 1990).…”

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confidence: 99%

Dry matter accumulation and seed yield in faba bean ( Vicia faba L) genotypes

Nachi

Guen

1996

Agronomie

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“…Faba bean is a self -pollinating crop though significant outcrossing has been reported ranging from 10 to 80% with an average of 35% depending on the environment and genotypes (Bond, 1987;Suso and Moreno, 1999). Thus, populations are highly heterogeneous and considerable potential exists of selecting within populations for specific traits as practiced for disease resistance (Hanounik and Robertson, 1989).…”

Section: Introductionmentioning

confidence: 99%

Heterosis and path analysis for grain yield and chocolate spot disease resistance in faba bean (Vicia faba L.)

Tekalign¹,

Sibiya²,

Derera³

2017

Aust J Crop Sci

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This study was conducted to estimate better-parent and mid-parent heterosis for grain yield and chocolate spot resistance and to determine the direct and indirect effects of yield components on yield of faba bean (Vicia faba L.) in Ethiopia. Ten genetically diverse inbred lines were crossed in a full diallel to produce 90 F 1 progenies. The parents and their 90 F 1 progenies were evaluated in a 10 x 10 alpha lattice design with two replications at three locations. Data were analyzed using the Gardner and Eberhart's analysis II and PATHSAS using SAS program. The maximum heterosis for grain yield (t ha Path coefficient analysis showed a significant direct effect of the number of nodes that had pods, plant height and total biomass on grain yield. However, general chocolate spot disease score (GDS) and relative area under disease progress curve (rAUDPC) had negative direct effect and significant negative correlation with grain yield. These results are useful to faba bean breeders for indirect selection of grain yield during the early segregating generation when yield tests cannot be conducted.

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Recent Developments in Breeding Field Beans (Vicia faba L.)

Cited by 49 publications

References 50 publications

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Genetic variability in Tunisian populations of faba bean (Vicia faba L. var. major) assessed by morphological and SSR markers

Dry matter accumulation and seed yield in faba bean ( Vicia faba L) genotypes

Heterosis and path analysis for grain yield and chocolate spot disease resistance in faba bean (Vicia faba L.)

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