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Physiologia Plantarum
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
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Root‐omics for drought tolerance in cool‐season grain legumes

Authors: Jitendra Kumar; Debjyoti Sen Gupta; Ivica Djalovic; Shiv Kumar; Kadambot H. M. Siddique;

Root‐omics for drought tolerance in cool‐season grain legumes

Abstract

AbstractRoot traits can be exploited to increase the physiological efficiency of crop water use under drought. Root length, root hairs, root branching, root diameter, and root proliferation rate are genetically defined traits that can help to improve the water productivity potential of crops. Recently, high‐throughput phenotyping techniques/platforms have been used to screen the germplasm of major cool‐season grain legumes for root traits and their impact on different physiological processes, including nutrient uptake and yield potential. Advances in omics approaches have led to the dissection of genomic, proteomic, and metabolomic structures of these traits. This knowledge facilitates breeders to improve the water productivity and nutrient uptake of cultivars under limited soil moisture conditions in major cool‐season grain legumes that usually face terminal drought. This review discusses the advances in root traits and their potential for developing drought‐tolerant cultivars in cool‐season grain legumes.

Country
Serbia
Keywords

roots, Proteomics, grain legumes, drought tolerance, Fabaceae, Droughts, Seasons, Edible Grain

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
28
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Average
Top 10%
49
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