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dc.contributor.authorDwivedi, Sangam L.
dc.contributor.authorScheben, Armin
dc.contributor.authorEdwards, David
dc.contributor.authorSpillane, Charles
dc.contributor.authorOrtiz, Rodomiro
dc.date.accessioned2018-09-20T16:06:54Z
dc.date.available2018-09-20T16:06:54Z
dc.date.issued2017-08-29
dc.identifier.citationDwivedi, Sangam L. Scheben, Armin; Edwards, David; Spillane, Charles; Ortiz, Rodomiro (2017). Assessing and exploiting functional diversity in germplasm pools to enhance abiotic stress adaptation and yield in cereals and food legumes. Frontiers in Plant Science 8 ,
dc.identifier.issn1664-462X
dc.identifier.urihttp://hdl.handle.net/10379/11305
dc.description.abstractThere is a need to accelerate crop improvement by introducing alleles conferring host plant resistance, abiotic stress adaptation, and high yield potential. Elite cultivars, landraces and wild relatives harbor useful genetic variation that needs to be more easily utilized in plant breeding. We review genome-wide approaches for assessing and identifying alleles associated with desirable agronomic traits in diverse germplasm pools of cereals and legumes. Major quantitative trait loci and single nucleotide polymorphisms (SNPs) associated with desirable agronomic traits have been deployed to enhance crop productivity and resilience. These include alleles associated with variation conferring enhanced photoperiod and flowering traits. Genetic variants in the florigen pathway can provide both environmental flexibility and improved yields. SNPs associated with length of growing season and tolerance to abiotic stresses (precipitation, high temperature) are valuable resources for accelerating breeding for drought-prone environments. Both genomic selection and genome editing can also harness allelic diversity and increase productivity by improving multiple traits, including phenology, plant architecture, yield potential and adaptation to abiotic stresses. Discovering rare alleles and useful haplotypes also provides opportunities to enhance abiotic stress adaptation, while epigenetic variation has potential to enhance abiotic stress adaptation and productivity in crops. By reviewing current knowledge on specific traits and their genetic basis, we highlight recent developments in the understanding of crop functional diversity and identify potential candidate genes for future use. The storage and integration of genetic, genomic and phenotypic information will play an important role in ensuring broad and rapid application of novel genetic discoveries by the plant breeding community. Exploiting alleles for yield-related traits would allow improvement of selection efficiency and overall genetic gain of multigenic traits. An integrated approach involving multiple stakeholders specializing in management and utilization of genetic resources, crop breeding, molecular biology and genomics, agronomy, stress tolerance, and reproductive/seed biology will help to address the global challenge of ensuring food security in the face of growing resource demands and climate change induced stresses.
dc.publisherFrontiers Media SA
dc.relation.ispartofFrontiers in Plant Science
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectcrop improvement
dc.subjectepigenetic variation
dc.subjectflorigen pathways
dc.subjectfunctional diversity
dc.subjectgenome editing
dc.subjectgenomic estimated breeding value
dc.subjecthaplotypes
dc.subjecttilling
dc.subjectgenome-wide association
dc.subjectflowering-locus-t
dc.subjectsnp genotyping array
dc.subjectphosphorus-deficiency-tolerance
dc.subjectDNA methylation variation
dc.subjectnatural genetic-variation
dc.subjectquantitative trait locus
dc.subjecthexaploid bread wheat
dc.subjectwild-rice germplasm
dc.subjectcicer-arietinum l.
dc.titleAssessing and exploiting functional diversity in germplasm pools to enhance abiotic stress adaptation and yield in cereals and food legumes
dc.typeArticle
dc.identifier.doi10.3389/fpls.2017.01461
dc.local.publishedsourcehttps://www.frontiersin.org/articles/10.3389/fpls.2017.01461/pdf
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland