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dc.contributorSeetharam, Kaliyamoorthyen_US
dc.contributorKrishna, Girishen_US
dc.contributorKrishnamurthy, Len_US
dc.contributorGajanan, Saykhedkaren_US
dc.contributorBabu, Ramanen_US
dc.contributorZerka, Miren_US
dc.contributorMadhumal Thayil, Vinayanen_US
dc.contributorVivek, Bindiganavile Sampathen_US
dc.creatorZaidi, P. H.en_US
dc.date2016-10-21en_US
dc.date.accessioned2017-04-01T21:18:28Z
dc.date.available2017-04-01T21:18:28Z
dc.identifierhttp://oar.icrisat.org/id/eprint/9762en_US
dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0164340en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/0QCjTLaGen_US
dc.identifier.citationP. H. Zaidi, Kaliyamoorthy Seetharam, Girish Krishna, L Krishnamurthy, Saykhedkar Gajanan, Raman Babu, Mir Zerka, Vinay Madhumal Thayil, Bindiganavile Sampath Vivek. (21/10/2016). Genomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.). PLOS ONE, 11(10), pp. 1-18.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11766/6583
dc.description.abstractAn association mapping panel, named as CIMMYT Asia association mapping (CAAM) panel, involving 396 diverse tropical maize lines were phenotyped for various structural and functional traits of roots under drought and well-watered conditions. The experiment was conducted during Kharif (summer-rainy) season of 2012 and 2013 in root phenotyping facility at CIMMYT-Hyderabad, India. The CAAM panel was genotyped to generate 955, 690 SNPs through GBS v2.7 using Illumina Hi-seq 2000/2500 at Institute for Genomic Diversity, Cornell University, Ithaca, NY, USA. GWAS analysis was carried out using 331,390 SNPs filtered from the entire set of SNPs revealed a total of 50 and 67 SNPs significantly associated for root functional (transpiration efficiency, flowering period water use) and structural traits (rooting depth, root dry weight, root length, root volume, root surface area and root length density), respectively. In addition to this, 37 SNPs were identified for grain yield and shoot biomass under well-watered and drought stress. Though many SNPs were found to have significant association with the traits under study, SNPs that were common for more than one trait were discussed in detail. A total 18 SNPs were found to have common association with more than one trait, out of which 12 SNPs were found within or near the various gene functional regions. In this study we attempted to identify the trait specific maize lines based on the presence of favorable alleles for the SNPs associated with multiple traits. Two SNPs S3_128533512 and S7_151238865 were associated with transpiration efficiency, shoot biomass and grain yield under well-watered condition. Based on favorable allele for these SNPs seven inbred lines were identified. Similarly, four lines were identified for transpiration efficiency and shoot biomass under drought stress based on the presence of favorable allele for the common SNPs S1_211520521, S2_20017716, S3_57210184 and S7_130878458 and three lines were identified for flowering period water-use, transpiration efficiency, root dry weight and root volume based on the presence of favorable allele for the common SNPs S3_162065732 and S3_225760139.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherPublic Library of Scienceen_US
dc.rightsCC-BY-NCen_US
dc.sourcePLOS ONE;11,(2016) Pagination 1,18en_US
dc.subjecttropical maizeen_US
dc.subjectMaizeen_US
dc.titleGenomic Regions Associated with Root Traits under Drought Stress in Tropical Maize (Zea mays L.)en_US
dc.typeJournal Articleen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovocdrought stressen_US
cg.contributor.centerInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCRP on Dryland Cereals - DCen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.project-lead-instituteInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactphzaidi@cgiar.orgen_US
dc.identifier.statusOpen accessen_US


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