scholarly journals Genotyping-by-Sequencing and Its Exploitation for Forage and Cool-Season Grain Legume Breeding

2017 ◽  
Vol 8 ◽  
Author(s):  
Paolo Annicchiarico ◽  
Nelson Nazzicari ◽  
Yanling Wei ◽  
Luciano Pecetti ◽  
Edward C. Brummer
Keyword(s):  
Genotyping By Sequencing ◽  
Grain Legume ◽  
Cool Season ◽  
Legume Breeding

Potential for wild species in cool season food legume breeding

Euphytica ◽  
1994 ◽  
Vol 73 (1-2) ◽  
pp. 109-114 ◽  
Author(s):  
F. J. Muehlbauer ◽  
W. J. Kaiser ◽  
C. J. Simon
Keyword(s):  
Wild Species ◽  
Cool Season ◽  
Food Legume ◽  
Legume Breeding

scholarly journals ​Faba Bean (Vicia faba L.), A Promising Grain Legume Crop of Bangladesh: A Review

2021 ◽  
Author(s):  
Swapan Kumar Paul ◽  
Dipali Rani Gupta
Keyword(s):  
Faba Bean ◽  
Cropping Systems ◽  
Grain Legume ◽  
Cool Season ◽  
Available Nitrogen ◽  
Legume Crop ◽  
Livestock Feed ◽  
The World ◽  
Vicia Faba L ◽  
Ecosystem Benefits

Faba bean is one of the multi-purpose oldest crop which is used as a source of dietary protein in human, as fodder and forage for livestock, feed for poultry and for available nitrogen for the biosphere. It is cool season grain legume that is grown in large areas in various countries in the world including a limited locality in Bangladesh. Diverse ecosystem benefits are expected from inclusion faba bean in cropping systems. This article reviews the published work mentioning potential uses of faba bean world-wide, challenges and its cultivation possibilities in Bangladesh.

Cool-season grain legume improvement in Australia—Use of genetic resources

2013 ◽  
Vol 64 (4) ◽  
pp. 347 ◽  
Author(s):  
K. H. M. Siddique ◽  
W. Erskine ◽  
K. Hobson ◽  
E. J. Knights ◽  
A. Leonforte ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Cropping Systems ◽  
Ascochyta Blight ◽  
Black Spot ◽  
Field Pea ◽  
Direct Result ◽  
Mycosphaerella Pinodes ◽  
Grain Legume ◽  
Cool Season ◽  
The Past

The cool-season grain legume industry in Australia, comprising field pea (Pisum sativum L.), chickpea (Cicer arietinum L.), faba bean (Vicia faba L.), lentil (Lens culinaris ssp. culinaris Medik.), and narrow-leaf lupin (Lupinus angustifolius L.), has emerged in the last 40 years to occupy a significant place in cropping systems. The development of all major grain legume crops—including field pea, which has been grown for over 100 years—has been possible through large amounts of genetic resources acquired and utilised in breeding. Initially, several varieties were released directly from these imports, but the past 25 years of grain legume breeding has recombined traits for adaptation and yield for various growing regions. Many fungal disease threats have been addressed through resistant germplasm, with varying successes. Some threats, e.g. black spot in field pea caused by Mycosphaerella pinodes (Berk. and Blox.) Vestergr., require continued exploration of germplasm and new technology. The arrival of ascochyta blight in chickpea in Australia threatened to destroy the chickpea industry of southern Australia, but thanks to resistant germplasm, it is now on its way to recovery. Many abiotic stresses including drought, heat, salinity, and soil nutritional toxicities continue to challenge the expansion of the grain legume area, but recent research shows that genetic variation in the germplasm may offer new solutions. Just as the availability of genetic resources has been key to successfully addressing many challenges in the past two decades, so it will assist in the future, including adapting to climate change. The acquisition of grain legume germplasm from overseas is a direct result of several Australians who fostered collaborations leading to new collection missions enriching the germplasm base for posterity.

scholarly journals Identification of Regulatory SNPs Associated with Vicine and Convicine Content of Vicia faba Based on Genotyping by Sequencing Data Using Deep Learning

Genes ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 614 ◽  
Author(s):  
Felix Heinrich ◽  
Martin Wutke ◽  
Pronaya Prosun Das ◽  
Miriam Kamp ◽  
Mehmet Gültas ◽  
...  
Keyword(s):  
Deep Learning ◽  
Vicia Faba ◽  
Genotyping By Sequencing ◽  
Grain Legume ◽  
Human Consumption ◽  
Sequencing Data ◽  
Promoter Regions ◽  
Ecological Importance ◽  
Deep Learning Model ◽  
Regulatory Snps

Faba bean (Vicia faba) is a grain legume, which is globally grown for both human consumption as well as feed for livestock. Despite its agro-ecological importance the usage of Vicia faba is severely hampered by its anti-nutritive seed-compounds vicine and convicine (V+C). The genes responsible for a low V+C content have not yet been identified. In this study, we aim to computationally identify regulatory SNPs (rSNPs), i.e., SNPs in promoter regions of genes that are deemed to govern the V+C content of Vicia faba. For this purpose we first trained a deep learning model with the gene annotations of seven related species of the Leguminosae family. Applying our model, we predicted putative promoters in a partial genome of Vicia faba that we assembled from genotyping-by-sequencing (GBS) data. Exploiting the synteny between Medicago truncatula and Vicia faba, we identified two rSNPs which are statistically significantly associated with V+C content. In particular, the allele substitutions regarding these rSNPs result in dramatic changes of the binding sites of the transcription factors (TFs) MYB4, MYB61, and SQUA. The knowledge about TFs and their rSNPs may enhance our understanding of the regulatory programs controlling V+C content of Vicia faba and could provide new hypotheses for future breeding programs.

scholarly journals Evidence for Strong Kinship Influence on the Extent of Linkage Disequilibrium in Cultivated Common Beans

Genes ◽  
2018 ◽  
Vol 10 (1) ◽  
pp. 5 ◽  
Author(s):  
Augusto Lima Diniz ◽  
Willian Giordani ◽  
Zirlane Portugal Costa ◽  
Gabriel R. A. Margarido ◽  
Juliana Morini K. C. Perseguini ◽  
...  
Keyword(s):  
Population Structure ◽  
Linkage Disequilibrium ◽  
Association Mapping ◽  
Genotyping By Sequencing ◽  
Grain Legume ◽  
Human Consumption ◽  
Common Beans ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
True Association

Phaseolus vulgaris is an important grain legume for human consumption. Recently, association mapping studies have been performed for the species aiming to identify loci underlying quantitative variation of traits. It is now imperative to know whether the linkage disequilibrium (LD) reflects the true association between a marker and causative loci. The aim of this study was to estimate and analyze LD on a diversity panel of common beans using ordinary r2 and r2 extensions which correct bias due to population structure (rS2), kinship (rV2), and both (rVS2). A total of 10,362 single nucleotide polymorphisms (SNPs) were identified by genotyping by sequencing (GBS), and polymorphisms were found to be widely distributed along the 11 chromosomes. In terms of r2, high values of LD (over 0.8) were identified between SNPs located at opposite chromosomal ends. Estimates for rV2 were lower than those for rS2. Results for rV2 and rVS2 were similar, suggesting that kinship may also include information on population structure. Over genetic distance, LD decayed to 0.1 at a distance of 1 Mb for rVS2. Inter-chromosomal LD was also evidenced. This study showed that LD estimates decay dramatically according to the population structure, and especially the degree of kinship. Importantly, the LD estimates reported herein may influence our ability to perform association mapping studies on P. vulgaris.

Growth responses of cool-season grain legumes to transient waterlogging

2007 ◽  
Vol 58 (5) ◽  
pp. 406 ◽  
Author(s):  
Z. Solaiman ◽  
T. D. Colmer ◽  
S. P. Loss ◽  
B. D. Thomson ◽  
K. H. M. Siddique
Keyword(s):  
Faba Bean ◽  
Grain Legumes ◽  
Sand Culture ◽  
Grain Legume ◽  
Growth Responses ◽  
Cool Season ◽  
Waterlogging Tolerance ◽  
Root Porosity ◽  
Root And Shoot Growth ◽  
Gas Volume

Transient waterlogging reduces the yield of cool-season grain legumes in several parts of the world. The tolerance of grain legumes to waterlogging may vary between and within species. This study investigated the effects of 7 days of waterlogging and subsequent recovery (10 days) on plant growth to evaluate the variation in tolerance among 7 cool-season grain legume species, in sand culture in glasshouse experiments. Additionally waterlogging tolerance of 6 faba bean genotypes was also evaluated. Tolerance to waterlogging as indicated by root and shoot growth (as % of drained controls) was ranked as follows: faba bean > yellow lupin > grass pea > narrow-leafed lupin > chickpea > lentil > field pea. Faba bean produced adventitious roots and aerenchyma leading to increased root porosity (9% gas volume per unit root volume). Among the 6 faba bean genotypes screened, accession 794 showed the best waterlogging tolerance, but it was also the slowest growing accession, which might have contributed to apparent tolerance (i.e. growth as % drained control). It is concluded that waterlogging tolerance in grain legumes varied between and within species, with faba bean being the most tolerant. The variation in tolerance identified within the limited set of faba bean genotypes evaluated suggests scope for further genetic improvement of tolerance in this species.

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