Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.) Gu, Riliang Chen, Fanjun Liu, Bingran Wang, Xin Liu, Jianchao Li, Pengcheng Pang, Qingchun Pace, Jordon Lubberstedt, Thomas Mi, Guohua Yuan, Lixing
dc.contributor.department Agronomy 2018-03-12T12:42:02.000 2020-06-29T23:05:21Z 2020-06-29T23:05:21Z Thu Jan 01 00:00:00 UTC 2015 2015-09-01
dc.description.abstract <p>Biofortification by enhanced mineral density in maize grain through genetic improvement is one of the efficient ways to solve global mineral malnutrition, in which one key step is to detect the corresponding Quantitative Trait Loci (QTL). In this work, a maize recombinant inbred population (RIL) was grown to maturity in four field environments with two locations × two years. Phenotypic data of mineral nutrition concentration, content and yield were determined for grain copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg), potassium (K) and phosphorus (P). Analysis of variance (ANOVA) showed significant effects of genotype, location and year for all investigated traits. Location showed the highest effect for all mineral yields, and Zn and Cu content and concentration, while year had the strongest impact for Mn, K, and P content and concentration. Heritabilities (h2) of different traits varied with higher h2 (72-85%) for mineral concentration and content and lower (48-63%) for nutrient yields. Correlation coefficient analysis revealed significant positive correlations for grain concentration between several minerals. P had the closest correlations to other elements, while Cu had the lowest. When environments were analyzed individually, a total of 28, 25, and 12 QTL were identified for nutrient concentration, content and yield, respectively. Among these QTL, 8 QTL were consistent within traits across different environments. These stable QTL may be most promising for controlling mineral accumulation in maize grain. Co-localization of QTL for different traits was found for 12 chromosome regions, suggesting that common processes might contribute seed nutrient accumulation</p>
dc.description.comments <p>This is a post-peer-review, pre-copyedit version of an article published in Theoretical and Applied Genetics. The final authenticated version is available online at: <a href="" target="_blank"></a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1500
dc.identifier.contextkey 11750684
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/451
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 00:20:45 UTC 2022
dc.source.uri 10.1007/s00122-015-2546-5
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Genetics and Genomics
dc.subject.disciplines Plant Breeding and Genetics
dc.subject.keywords maize
dc.subject.keywords nutrient elements
dc.subject.keywords grain quality
dc.subject.keywords quantitative trait locus
dc.title Comprehensive phenotypic analysis and quantitative trait locus identification for grain mineral concentration, content, and yield in maize (Zea mays L.)
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 4e4330cd-db15-4ac5-8924-41119139cf32
relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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