Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis

BMC Plant Biology

Research Article

Jens Keilwagen¹  Jianting Chu²  Andreas Graner²  Kerstin Neumann²  Jochen C. Reif²  Yusheng Zhao²  Benjamin Kilian³ 

[1] Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Quedlinburg, Germany;Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Germany;Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland OT Gatersleben, Germany;Global Crop Diversity Trust (GCDT), Bonn, Germany;

关键词: Barley;    Development;    Genetic architecture;    Genome-wide association mapping;    Growth;    High-throughput phenotyping;    Non-invasive;    Photoperiod;    Vegetative biomass;   

DOI  :  10.1186/s12870-017-1085-4

 received in 2017-02-09, accepted in 2017-07-23,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundGenetic mapping of phenotypic traits generally focuses on a single time point, but biomass accumulates continuously during plant development. Resolution of the temporal dynamics that affect biomass recently became feasible using non-destructive imaging.ResultsWith the aim to identify key genetic factors for vegetative biomass formation from the seedling stage to flowering, we explored growth over time in a diverse collection of two-rowed spring barley accessions. High heritabilities facilitated the temporal analysis of trait relationships and identification of quantitative trait loci (QTL). Biomass QTL tended to persist only a short period during early growth. More persistent QTL were detected around the booting stage. We identified seven major biomass QTL, which together explain 55% of the genetic variance at the seedling stage, and 43% at the booting stage. Three biomass QTL co-located with genes or QTL involved in phenology. The most important locus for biomass was independent from phenology and is located on chromosome 7HL at 141 cM. This locus explained ~20% of the genetic variance, was significant over a long period of time and co-located with HvDIM, a gene involved in brassinosteroid synthesis.ConclusionsBiomass is a dynamic trait and is therefore orchestrated by different QTL during early and late growth stages. Marker-assisted selection for high biomass at booting stage is most effective by also including favorable alleles from seedling biomass QTL. Selection for dynamic QTL may enhance genetic gain for complex traits such as biomass or, in the future, even grain yield.

【 授权许可】

CC BY   
© The Author(s). 2017

【 图 表 】

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