Using Genomics to Exploit Grain Legume Biodiversity in Crop Improvement

Dwivedi, Sangam L.; Upadhyaya, Hari D.; Jayashree, B. S.; Buhariwalla, Hutokshi K.; Blair, Matthew W.; Ortíz, Rodomiro; Crouch, Jonathan H.; Serraj, Richard

doi:10.1002/9780470650325.ch6

Cited by 24 publications

(30 citation statements)

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“…Forming core and/or mini-core collections is one way to sample the representative variability from the entire collection of a given species, thus providing an entry point for a wider search in the entire collection (Brown 1989;Upadhyaya and Ortiz 2001). Such subsets have been reported for most major cereal and legume crops (reviewed in Dwivedi et al 2005Dwivedi et al , 2007, and should be evaluated to assess the range of genetic variation in seed Fe and Zn for use in crop breeding. Islam et al (2002Islam et al ( , 2004 analyzed a partial core collection of common bean for variability in Fe and Zn traits while Blair et al (2010b) did the same for a Rwandan collection that was conserved prior to genocide in that country.…”

Section: Mining Germplasm Collections For Natural Variation For Sementioning

confidence: 99%

Nutritionally Enhanced Staple Food Crops

Dwivedi

Sahrawat

Kedar

et al. 2012

Plant Breeding Reviews

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Section: Mining Germplasm Collections For Natural Variation For Sementioning

confidence: 99%

Nutritionally Enhanced Staple Food Crops

Dwivedi

Sahrawat

Kedar

et al. 2012

Plant Breeding Reviews

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“…At both stages, standard clustering procedures are used to separate groups of similar accessions combined with various statistical tests to identify the best representatives. Core and/or mini core collections have been reported in adzuki bean, chickpea, common bean, cowpea, hyacinth bean, lentil, mungbean, pea and pigeonpea (Bisht et al 1998;Wang et al 2001;Pengelli and Maass 2001;Upadhyaya and Ortiz 2001;Upadhyaya et al , 2006Dwivedi et al 2005;Mahalakshmi et al 2007;Logozzo et al 2007;Zong et al 2008a;Pérez-Vega et al 2009;Redden et al 2009;Hamwieh et al 2009). Forming such core collection is also underway in different faba bean germplasm collections using passport and molecular data (Zong et al 2009a;Duc et al 2009).…”

Section: Strategic Research To Enhance the Use Of Genetic Resources Imentioning

confidence: 95%

“…Core and/or mini core collections have been used to identify new sources of variation for resistance to biotic and abiotic stresses and for agronomic and/or seed quality traits in chickpea, common bean, lentil, pea, and pigeonpea (Dwivedi et al 2005;Coyne et al 2005;Brick et al 2006;Pande et al 2006;Smýkal et al 2008;Vargas-Vázquez et al 2008;Upadhyaya et al 2009;Porter et al 2009) for use in breeding programs.…”

Section: Strategic Research To Enhance the Use Of Genetic Resources Imentioning

confidence: 98%

“…In addition, many legumes release soil-bound phosphate through their symbiotic relationships with mycorrhizal fungi (Sanders and Tinker 1973;Hayman 1983). Grain yield and quality in legumes is adversely affected by biotic (e.g., parasitic weeds, insects, weevils, nematodes, fungi, bacteria and viruses) and abiotic (imbalances in water, temperature, or mineral availability) stresses (Dwivedi et al 2005).…”

Section: Introductionmentioning

confidence: 99%

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Legume genetic resources: management, diversity assessment, and utilization in crop improvement

et al. 2011

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Grain legumes contribute significantly to total world food production. Legumes are the primary source of dietary proteins in many developing countries, where protein hunger and malnutrition are widespread. Grain legumes germplasm constitute ~15% of the 7.4 M accessions preserved globally. Nearly, 78% of the CGIAR?s, 0.217 M accessions, have been characterized, compared to 34% of national genebank collections. Interestingly, limited data on grain quality are available as the primary focus has been on morpho-agronomic traits. Clearly, more resources should be targeted on biochemical evaluation to identify nutritionally rich and genetically diverse germplasm. The formation of core and mini core collections has provided crop breeders with a systematic yet manageable entry point into global germplasm resources. These subsets have been reported for most legumes and have proved useful in identifying new sources of variation. They may however not eliminate the need to evaluate entire collections, particularly for very rare traits. Molecular characterization and association mapping will further aid to insights into the structure of legume diversity and facilitate greater use of collections. The use of high resolution elevational climate models has greatly improved our capacity to characterize plant habitats and species? adaptive responses to stresses. Evidence suggests that there has been increased use of wild relatives as well as new resources resulting from mutagenesis to enhance the genetic base of legume cultigens.Peer reviewe

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“…Wild Arachis species have been extensively studied for resistance to many pests and diseases (reviewed in Dwivedi et al 2003Dwivedi et al , 2005Dwivedi et al , 2008 and for thermal stress tolerance (Nautyal et al 2008). Stalker (1990) was probably the first to characterize 73 wild species accessions from section Arachis for 56 morphoreproductive traits, while Carvalho and Quesenberry (2009) reported morphological diversity among 34 A. pintoi accessions.…”

Section: Introductionmentioning

confidence: 99%

Phenotypic diversity and identification of wild Arachis accessions with useful agronomic and nutritional traits

et al. 2011

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Wild relatives harbor novel sources of variation, which can be used to enhance the genetic base of a cultivar gene pool. A total of 269 accessions from 20 wild Arachis species belonging to six sections were evaluated for 41 morpho-agronomic traits and 89 selected accessions for oil, protein and total sugar content. Six plants from each accession were grown in an open Arachis house in largecylindrical concrete structures during the 2004-2005 season at Patancheru, India. REML analysis showed significant differences between species and accessions for most of the traits studied. Hierarchical cluster analysis, based on the first five principal component scores accounted for 82.5% variation, resulting in four clusters. Variation in genome relationships and ploidy levels had no bearing on the clustering pattern which was predominated by life forms: clusters 1 and 2, contained mostly annuals and clusters 3 and 4 perennials. A large range of variations were noticed among species for some of the agronomic traits: days to flowering, pod and seed characteristics, specific leaf area (SLA) and for SPAD chlorophyll meter reading (SCMR). Arachis duranensis showed the maximum intraspecific variation as revealed by a high diversity index for 23 of the 41 traits which included: days to flowering, primary branches, plant width, pod length, pod width, SCMR and SLA. The other species with desirable traits were A. pusilla (earliest flowering) and A. villosa (high SCMR at 60 and 80 days after sowing). The latter species is cross compatible with cultivated groundnut, thus, is a good source to enhance the trait value in the cultigen's gene pool. The best 20 accessions with superior agronomic, nutritional quality and drought related trait combinations have been identified for their use in introgression of diverse and unique alleles from wild Arachis species into A. hypogaea.

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Using Genomics to Exploit Grain Legume Biodiversity in Crop Improvement

Cited by 24 publications

References 682 publications

Nutritionally Enhanced Staple Food Crops

Nutritionally Enhanced Staple Food Crops

Legume genetic resources: management, diversity assessment, and utilization in crop improvement

Phenotypic diversity and identification of wild Arachis accessions with useful agronomic and nutritional traits

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