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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant&#8211;Environment Interactions
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Challenges for a Massive Implementation of Phenomics in Plant Breeding Programs.

Gustavo A Lobos1, Félix Estrada2, Alejandro Del Pozo2

  • 1Plant Breeding and Phenomics Center, Faculty of Agricultural Sciences, Universidad de Talca, Talca, Chile. globosp@utalca.cl.

Methods in Molecular Biology (Clifton, N.J.)
|July 27, 2022
PubMed
Summary

Developing climate-resilient crops requires faster breeding cycles. High-throughput plant phenotyping (HTPP) and advanced data analysis are crucial for selecting superior genotypes and understanding plant traits for improved crop development.

Keywords:
BreedingHTPPPhenomics

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Area of Science:

  • Plant breeding and genetics
  • Agricultural science
  • Bioinformatics

Background:

  • Climate change necessitates developing crops with enhanced environmental stress tolerance and reduced breeding cycle times.
  • Traditional phenotyping methods are insufficient for large-scale genotype screening under field conditions.
  • Incorporating morphophysiological and physicochemical traits is vital for selecting adapted cultivars.

Purpose of the Study:

  • To highlight the necessity of high-throughput plant phenotyping (HTPP) for efficient data collection in plant breeding.
  • To emphasize the importance of phenomics for objective genotype selection (forward phenomics) and trait discovery (reverse phenomics).
  • To propose the integration of new methodologies, environmental data, and data fusion for advanced phenomic modeling.

Main Methods:

  • Utilizing high-throughput plant phenotyping (HTPP) for rapid data acquisition.
  • Transforming raw data (e.g., plant reflectance) into breeder-relevant descriptors.
  • Developing prediction/validation methodologies and fusing genotypic and phenotypic data matrices.

Main Results:

  • HTPP enables rapid collection of significant phenotypic data.
  • Phenomics allows for holistic plant characterization in challenging environments.
  • Data fusion and advanced modeling are key to overcoming current phenomic limitations.

Conclusions:

  • Implementing phenomics in plant breeding requires interdisciplinary teams and advanced methodologies.
  • Breeding programs must become more efficient, shorten cycles, and increase success rates.
  • Objective genotype selection and understanding trait variation are critical for future crop adaptation.