Phenotyping for waterlogging tolerance in crops: current trends and future prospects

Author:

Langan Patrick1ORCID,Bernád Villő1ORCID,Walsh Jason12ORCID,Henchy Joey1ORCID,Khodaeiaminjan Mortaza1ORCID,Mangina Eleni2ORCID,Negrão Sónia1ORCID

Affiliation:

1. School of Biology and Environmental Science, University College Dublin , Dublin , Ireland

2. School of Computer Science and UCD Energy Institute, University College Dublin , Dublin , Ireland

Abstract

Abstract Yield losses to waterlogging are expected to become an increasingly costly and frequent issue in some regions of the world. Despite the extensive work that has been carried out examining the molecular and physiological responses to waterlogging, phenotyping for waterlogging tolerance has proven difficult. This difficulty is largely due to the high variability of waterlogging conditions such as duration, temperature, soil type, and growth stage of the crop. In this review, we highlight use of phenotyping to assess and improve waterlogging tolerance in temperate crop species. We start by outlining the experimental methods that have been utilized to impose waterlogging stress, ranging from highly controlled conditions of hydroponic systems to large-scale screenings in the field. We also describe the phenotyping traits used to assess tolerance ranging from survival rates and visual scoring to precise photosynthetic measurements. Finally, we present an overview of the challenges faced in attempting to improve waterlogging tolerance, the trade-offs associated with phenotyping in controlled conditions, limitations of classic phenotyping methods, and future trends using plant-imaging methods. If effectively utilized to increase crop resilience to changing climates, crop phenotyping has a major role to play in global food security.

Funder

Science Foundation Ireland

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Physiology

Reference199 articles.

1. Enhanced formation of aerenchyma and induction of a barrier to radial oxygen loss in adventitious roots of Zea nicaraguensis contribute to its waterlogging tolerance as compared with maize (Zea mays ssp. mays);Abiko;Plant, Cell & Environment,2012

2. Optimization of phenotyping assays for the model monocot Setaria viridis;Acharya;Frontiers in Plant Science,2017

3. Chroma key using a checker pattern background;Agata;IEICE Transactions on Information and Systems,2007

4. Environmental stresses and metabolomics—deciphering the role of stress responsive metabolites.;Ahanger,2018

5. A comparative proteomic analysis of tomato leaves in response to waterlogging stress;Ahsan;Physiologia Plantarum,2007

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