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Front Plant Sci. 2015 Aug 10;6:619. doi: 10.3389/fpls.2015.00619. eCollection 2015.

Advanced phenotyping and phenotype data analysis for the study of plant growth and development.

Author information

1
Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou China.
2
Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou China ; Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben Germany.
3
Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben Germany.

Abstract

Due to an increase in the consumption of food, feed, fuel and to meet global food security needs for the rapidly growing human population, there is a necessity to breed high yielding crops that can adapt to the future climate changes, particularly in developing countries. To solve these global challenges, novel approaches are required to identify quantitative phenotypes and to explain the genetic basis of agriculturally important traits. These advances will facilitate the screening of germplasm with high performance characteristics in resource-limited environments. Recently, plant phenomics has offered and integrated a suite of new technologies, and we are on a path to improve the description of complex plant phenotypes. High-throughput phenotyping platforms have also been developed that capture phenotype data from plants in a non-destructive manner. In this review, we discuss recent developments of high-throughput plant phenotyping infrastructure including imaging techniques and corresponding principles for phenotype data analysis.

KEYWORDS:

data analysis; environmental factor; high-throughput phenotyping; imaging procedure; plant phenotype

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