ArticleBMC plant biology2017
Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis.
Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 42 citations in OpenAlex.
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- Haplotype-Based Genome-Wide Association Analysis Using Exome Capture Assay and Digital Phenotyping Identifies Genetic Loci Underlying Salt Tolerance Mechanisms in Wheat.Plants (Basel, Switzerland) · 2023Article
- Precision phenotyping across the life cycle to validate and decipher drought-adaptive QTLs of wild emmer wheat (Frontiers in plant science · 2022Article
- Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review.Journal of advanced research · 2022Review
- Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize.The plant genome · 2021Article
- Exploring genetic architecture for pod-related traits in soybean using image-based phenotyping.Molecular breeding : new strategies in plant improvement · 2021Article
- High-Throughput Phenotyping and Random Regression Models Reveal Temporal Genetic Control of Soybean Biomass Production.Frontiers in plant science · 2021Article
- Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci.Plant direct · 2020Article
- Effects of shell sand burial on seedling emergence, growth and stoichiometry of Periploca sepium Bunge.BMC plant biology · 2020Article
- Image Phenotyping of Spring Barley (Frontiers in plant science · 2020Article
- Strong temporal dynamics of QTL action on plant growth progression revealed through high-throughput phenotyping in canola.Plant biotechnology journal · 2020Article
- Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.Frontiers in plant science · 2020Review
- Automated Spike Detection in Diverse European Wheat Plants Using Textural Features and the Frangi Filter in 2D Greenhouse Images.Frontiers in plant science · 2020Article
- Dissecting new genetic components of salinity tolerance in two-row spring barley at the vegetative and reproductive stages.PloS one · 2020Article
- Genetic and Physiological Dissection of Photosynthesis in Barley Exposed to Drought Stress.International journal of molecular sciences · 2019Article
- Genome-wide association mapping in a diverse spring barley collection reveals the presence of QTL hotspots and candidate genes for root and shoot architecture traits at seedling stage.BMC plant biology · 2019Article
- High-throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare).The Plant journal : for cell and molecular biology · 2019Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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