Related Experiment Video
Updated: Jul 5, 2025
06:41
Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
Published on: March 28, 2025
820
Plant microphenotype: from innovative imaging to computational analysis.
Ying Zhang1, Shenghao Gu1, Jianjun Du1
1Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Plant Biotechnology Journal
|January 13, 2024
Summary
Plant microphenotyping links genotype to phenotype. Advances in data acquisition and AI analysis are crucial for understanding genotype-environment interactions, driving functional genomics forward.
Area of Science:
- Plant Science
- Genomics
- Computational Biology
Background:
- The microphenotype is crucial for connecting genotype to complex phenotypes.
- Understanding genotype-environment-management interactions is vital for plant science.
Purpose of the Study:
- Review advances in plant microphenotyping data acquisition and intelligent analysis.
- Present applications of microphenotyping in plant science over the last two decades.
- Identify challenges and suggest future directions for microphenotyping.
Main Methods:
- Review of scientific literature on plant microphenotyping.
- Analysis of data acquisition techniques and intelligent analysis algorithms.
- Examination of past and current applications in plant science.
Main Results:
- Microphenotyping has significantly advanced over the past two decades.
- Key challenges include integrating cross-scale data and developing advanced AI algorithms.
- The field is entering 'Microphenotyping 3.0'.
Conclusions:
- Microphenotyping is essential for bridging genotype and phenotype.
- Future progress requires integrated strategies in image acquisition, AI, genetic analysis, and computational phenotyping.
- Microphenotyping will substantially advance functional genomics and plant science.
Keywords:
computational phenotypinggenetic effectsimaging techniquemicrophenotypetrait identification
