Chlorophyll fluorescence: a smart tool for maize improvement

IF 1.6 4区 农林科学 Q2 AGRONOMY
Muhammad Faheem Jan, Ming Li, Waqas Liaqat, Muhammad Tanveer Altaf, Changzhuang Liu, Haseeb Ahmad, Ehtisham Hassan Khan, Zain Ali, Celaleddin Barutçular, Heba I. Mohamed
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Abstract

This review meticulously explores the diverse methodologies and applications of chlorophyll fluorescence (CF) analysis, emphasizing its crucial role in field measurements, crop phenotyping, and monitoring within agricultural research. It is a useful tool in agricultural research since it helps researchers improve plant selection procedures and optimize crop production. The review clarifies the importance of CF in understanding energy transfer within the photosynthetic apparatus and related processes, highlighting its usefulness in evaluating the effects of abiotic stresses on photosynthetic performance. A highlight of this study is the critical investigation of CF imaging as a non-destructive phenotyping method. This technique not only quantifies photosynthetic tolerance mechanisms to various stimuli but also forecasts chloroplast activity and responses under diverse growth conditions, be they optimal or unfavorable. Focusing particularly on maize, this review evaluates the sensitivity of the photosynthetic apparatus to a spectrum of abiotic stressors. It offers invaluable insights into the nuanced responses of maize to these stressors, providing essential knowledge pertinent to climate change and the pursuit of sustainable farming practices. Moreover, it highlights the critical role of CF in assessing maize varieties under various stresses, viz., drought, heat, cold, nutrient deficiencies, disease resistance, and susceptibility. Comparative analysis of different maize varieties and the evaluation of hybrid performance through CF are also considerably covered. By delving into techniques, applications, and practical considerations, this review contributes significantly to the scholarly discourse on CF analysis in contemporary agriculture, offering a comprehensive understanding of its techniques and pragmatic implications.

Abstract Image

叶绿素荧光:改良玉米的智能工具
这篇综述细致地探讨了叶绿素荧光(CF)分析的各种方法和应用,强调了它在农业研究中的田间测量、作物表型和监测方面的关键作用。叶绿素荧光分析是农业研究中的一项有用工具,因为它能帮助研究人员改进植物选择程序,优化作物生产。这篇综述阐明了 CF 在了解光合装置内能量传递及相关过程方面的重要性,强调了它在评估非生物胁迫对光合作用性能的影响方面的作用。本研究的一大亮点是将 CF 成像作为一种非破坏性的表型方法进行了重要研究。这种技术不仅能量化光合作用对各种刺激的耐受机制,还能预测叶绿体在不同生长条件下的活动和反应,无论这些条件是最佳的还是不利的。本综述以玉米为重点,评估了光合装置对一系列非生物胁迫的敏感性。它为玉米对这些胁迫的细微反应提供了宝贵的见解,提供了与气候变化和追求可持续农业实践相关的重要知识。此外,它还强调了基因工程在评估各种胁迫(即干旱、高温、低温、养分缺乏、抗病性和易感性)下的玉米品种中的关键作用。此外,还大量介绍了不同玉米品种的比较分析以及通过 CF 评估杂交种性能的方法。通过深入探讨技术、应用和实际考虑因素,这篇综述对当代农业中 CF 分析的学术讨论做出了重要贡献,提供了对其技术和实际意义的全面理解。
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
92
审稿时长
6-12 weeks
期刊介绍: This journal publishes original papers presenting new scientific results on breeding, genetics, physiology, pathology and production of primarily wheat, rye, barley, oats and maize.
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