Unknown

Dataset Information

Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat.


ABSTRACT:

Background

The superposition of COVID-19 and climate change has brought great challenges to global food security. As a major economic crop in the world, studying its phenotype to cultivate high-quality wheat varieties is an important way to increase grain yield. However, most of the existing phenotyping platforms have the disadvantages of high construction and maintenance costs, immobile and limited in use by climatic factors, while the traditional climate chambers lack phenotypic data acquisition, which makes crop phenotyping research and development difficult. Crop breeding progress is slow. At present, there is an urgent need to develop a low-cost, easy-to-promote, climate- and site-independent facility that combines the functions of crop cultivation and phenotype acquisition. W

SUBMITTER: Ren A 

PROVIDER: S-EPMC9170875 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature