以色列科学家在Functional Plant Biology 发表了题为The advantages of functional phenotyping in pre-field screening for drought-tolerant crops文章，介绍了功能表型在抗旱作物预田间筛选中的优势，研究中用到了开发的新型植物生理表型系统Plantarray系统。

Abstract. Increasing worldwide demand for food, feed and fuel presents a challenge in light of limited resources and  climatic challenges. Breeding for stress tolerance and drought tolerance, in particular, is one the most challenging tasks facing breeders. The comparative screening of immense numbers of plant and gene candidates and their interactions with the environment represents a major bottleneck in this process. We suggest four key components to be considered in pre-fifield screens (phenotyping) for complex traits under drought conditions: (i) where, when and under which conditions to phenotype; (ii) which traits to phenotype; (iii) how to phenotype (which method); and (iv) how to translate collected data into knowledge that can be used to make practical decisions. We describe some common pitfalls, including inadequate phenotyping methods, incorrect terminology and the inappropriate use of non-relevant traits as markers for drought tolerance. We also suggest the use of more non-imaging, physiology-based, high-throughput phenotyping systems, which, used in combination with soil–plant–atmosphere continuum (SPAC) measurements and fifitting models of plant responses to continuous and flfluctuating environmental conditions, should be further investigated in order to serve as a phenotyping tool to better understand and characterise plant stress response. In the future, we assume that many of today’s phenotyping challenges will be solved by technology and automation, leaving us with

the main challenge of translating large amounts of accumulated data into meaningful knowledge and decision making tools.

keywords: drought stress, drought tolerance, modeling, modelling, screening, stress physiology

The advantages of functional phenotyping in pre-field screening for drought-tolerant crops

Negin et. al., (2016)  Functional Plant Biology  DOI: 10.1071/FP16156