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功能表型分析在耐旱作物田间前筛选中的优势。

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

作者信息

Negin Boaz, Moshelion Menachem

机构信息

The Robert H Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot 7610001, Israel.

出版信息

Funct Plant Biol. 2016 Feb;44(1):107-118. doi: 10.1071/FP16156.

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-field 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 fitting models of plant responses to continuous and fluctuating 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.

摘要

鉴于资源有限和气候挑战,全球对粮食、饲料和燃料的需求不断增加,这带来了一项挑战。特别是培育抗逆性和耐旱性品种,是育种者面临的最具挑战性的任务之一。对大量植物和基因候选材料及其与环境的相互作用进行比较筛选,是这一过程中的一个主要瓶颈。我们建议在干旱条件下对复杂性状进行田间前筛选(表型分析)时考虑四个关键要素:(i)在何处、何时以及在何种条件下进行表型分析;(ii)对哪些性状进行表型分析;(iii)如何进行表型分析(采用何种方法);以及(iv)如何将收集到的数据转化为可用于做出实际决策的知识。我们描述了一些常见的陷阱,包括表型分析方法不足、术语错误以及不恰当地使用不相关性状作为耐旱性的标记。我们还建议使用更多基于生理学的非成像高通量表型分析系统,将其与土壤-植物-大气连续体(SPAC)测量以及植物对连续和波动环境条件的响应拟合模型结合使用,应进一步加以研究,以便作为一种表型分析工具,更好地理解和表征植物的胁迫响应。未来,我们认为当今许多表型分析挑战将通过技术和自动化得到解决,而留给我们的主要挑战是将大量积累的数据转化为有意义的知识和决策工具。

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