Affordable Imaging Lab for Noninvasive Analysis of Biomass and Early Vigour in Cereal Crops.

Plant phenotyping by imaging allows automated analysis of plants for various morphological and physiological traits. In this work, we developed a low-cost RGB imaging phenotyping lab (LCP lab) for low-throughput imaging and analysis using affordable imaging equipment and freely available software. L...

Descripción completa

Detalles Bibliográficos
Publicado en:BioMed Research International Vol. 2018; pp. 1 - 10
Autores principales: Armoniené, Rita, Odilbekov, Firuz, Vivekanand, Vivekanand, Chawade, Aakash
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 4/19/2018
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129161384&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 129161384
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        23146133
        FT2T
      jtl: BioMed Research International
      issn: 23146133
      maglogo: N
    pubinfo:
      dt: 4/19/2018
      vid: 2018
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        129161384
        129161384
        129161384
        10.1155/2018/5713158
        129161384
      ppf: 1
      ppct: 9
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Affordable Imaging Lab for Noninvasive Analysis of Biomass and Early Vigour in Cereal Crops.
      aug:
        au:
          Armoniené, Rita
          Odilbekov, Firuz
          Vivekanand, Vivekanand
          Chawade, Aakash
        affil: Department of Plant Breeding, Swedish University of Agricultural Sciences, 23053 Alnarp, Sweden
      sug:
        subj:
          Agriculture
          Diagnostic Imaging
          Ecosystem
          Cereals
          Human
          Plants Analysis
          Phenotype
          Wheat
      ab: Plant phenotyping by imaging allows automated analysis of plants for various morphological and physiological traits. In this work, we developed a low-cost RGB imaging phenotyping lab (LCP lab) for low-throughput imaging and analysis using affordable imaging equipment and freely available software. LCP lab comprising RGB imaging and analysis pipeline is set up and demonstrated with early vigour analysis in wheat. Using this lab, a few hundred pots can be photographed in a day and the pots are tracked with QR codes. The software pipeline for both imaging and analysis is built from freely available software. The LCP lab was evaluated for early vigour analysis of five wheat cultivars. A high coefficient of determination (R2 0.94) was obtained between the dry weight and the projected leaf area of 20-day-old wheat plants and R2 of 0.9 for the relative growth rate between 10 and 20 days of plant growth. Detailed description for setting up such a lab is provided together with custom scripts built for imaging and analysis. The LCP lab is an affordable alternative for analysis of cereal crops when access to a high-throughput phenotyping facility is unavailable or when the experiments require growing plants in highly controlled climate chambers. The protocols described in this work are useful for building affordable imaging system for small-scale research projects and for education.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N