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Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity

Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environment...

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Autores principales: Hirayama, Takashi, Mochida, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885943/
https://www.ncbi.nlm.nih.gov/pubmed/35583356
http://dx.doi.org/10.1093/pcp/pcac067
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author Hirayama, Takashi
Mochida, Keiichi
author_facet Hirayama, Takashi
Mochida, Keiichi
author_sort Hirayama, Takashi
collection PubMed
description Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices.
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spelling pubmed-98859432023-01-31 Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity Hirayama, Takashi Mochida, Keiichi Plant Cell Physiol Special Issue—Mini Review Agriculture is particularly vulnerable to climate change. To cope with the risks posed by climate-related stressors to agricultural production, global population growth, and changes in food preferences, it is imperative to develop new climate-smart crop varieties with increased yield and environmental resilience. Molecular genetics and genomic analyses have revealed that allelic variations in genes involved in phytohormone-mediated growth regulation have greatly improved productivity in major crops. Plant science has remarkably advanced our understanding of the molecular basis of various phytohormone-mediated events in plant life. These findings provide essential information for improving the productivity of crops growing in changing climates. In this review, we highlight the recent advances in plant hormonomics (multiple phytohormone profiling) and discuss its application to crop improvement. We present plant hormonomics as a key tool for deep physiological phenotyping, focusing on representative plant growth regulators associated with the improvement of crop productivity. Specifically, we review advanced methodologies in plant hormonomics, highlighting mass spectrometry- and nanosensor-based plant hormone profiling techniques. We also discuss the applications of plant hormonomics in crop improvement through breeding and agricultural management practices. Oxford University Press 2022-05-18 /pmc/articles/PMC9885943/ /pubmed/35583356 http://dx.doi.org/10.1093/pcp/pcac067 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Special Issue—Mini Review
Hirayama, Takashi
Mochida, Keiichi
Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title_full Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title_fullStr Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title_full_unstemmed Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title_short Plant Hormonomics: A Key Tool for Deep Physiological Phenotyping to Improve Crop Productivity
title_sort plant hormonomics: a key tool for deep physiological phenotyping to improve crop productivity
topic Special Issue—Mini Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885943/
https://www.ncbi.nlm.nih.gov/pubmed/35583356
http://dx.doi.org/10.1093/pcp/pcac067
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