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基于田间实际条件下的农业生理性状评估小麦基因型耐盐性时对照处理的必要性

Evaluating the Necessity of a Control Treatment for Assessing Salt Tolerance in Wheat Genotypes Based on Agro-Physiological Traits in Real-Field Conditions.

作者信息

El-Hendawy Salah, Tahir Muhammad Usman, Hu Yuncai, Al-Suhaibani Nasser

机构信息

Department of Plant Production, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia.

Precision Agriculture Laboratory, School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.

出版信息

Plants (Basel). 2025 Aug 11;14(16):2488. doi: 10.3390/plants14162488.

Abstract

Evaluating salt tolerance based on agro-physiological traits is resource-intensive when testing numerous genotypes under both control and saline conditions. Focusing specifically on stress conditions may streamlines the process while effectively revealing the physiological mechanisms underlying salt tolerance in genotypes. This study investigated whether control treatments are necessary for accurate salt tolerance assessment by analyzing 22 wheat genotypes under real field conditions with control and 150 mM NaCl salinity. Genotypes were grouped based on absolute trait values of ionic and agro-physiological traits under normal or salinity stress conditions separately, as well as stress tolerance indices (STIs) that consider the genotypes' performance under stress compared to non-stress conditions. Heatmap clustering of ionic, physiological, or growth and yield traits under salinity stress successfully differentiated between salt-tolerant (Sakha 93) and sensitive (Sakha 61) genotypes. In contrast, the heatmap of ionic and physiological traits under control conditions or STIs of ionic and growth and yield traits failed to distinguish between the two genotypes. When categorized based on control-condition values or STIs, the Sakha 93 group performed similarly or worse than the Sakha 61 group. However, under salinity stress, the Sakha 93 group consistently outperformed the Sakha 61 group. Salinity-stress trait values provided significant insights into the salt tolerance mechanisms of the tested genotypes, whereas control condition data offered no meaningful contribution to understanding salinity tolerance. In summary, assessing ionic and agro-physiological traits under salinity stress alone can accurately evaluate the salt tolerance of wheat genotypes in real field conditions, eliminating the necessity of determining them under control conditions. This method not only saves effort, time, and resources when evaluating the salt tolerance of a large number of genotypes, but also offers a reliable way to understand the mechanisms of salt tolerance through agro-physiological traits.

摘要

在对照和盐胁迫条件下对众多基因型进行测试时,基于农业生理性状评估耐盐性需要耗费大量资源。专门关注胁迫条件可能会简化这一过程,同时有效地揭示基因型耐盐性的生理机制。本研究通过分析22个小麦基因型在对照和150 mM NaCl盐度的实际田间条件下,研究了对照处理对于准确评估耐盐性是否必要。根据正常或盐胁迫条件下离子和农业生理性状的绝对性状值,以及考虑基因型在胁迫与非胁迫条件下表现的胁迫耐受性指数(STIs),对基因型进行分组。盐胁迫下离子、生理或生长及产量性状的热图聚类成功区分了耐盐基因型(Sakha 93)和敏感基因型(Sakha 61)。相比之下,对照条件下离子和生理性状的热图或离子、生长及产量性状的STIs未能区分这两个基因型。当根据对照条件值或STIs进行分类时,Sakha 93组的表现与Sakha 对照组相似或更差。然而,在盐胁迫下,Sakha 93组始终优于Sakha 61组。盐胁迫性状值为受试基因型的耐盐机制提供了重要见解,而对照条件数据对理解耐盐性没有有意义的贡献。总之,仅在盐胁迫下评估离子和农业生理性状就能准确评估实际田间条件下小麦基因型的耐盐性,无需在对照条件下进行测定。这种方法不仅在评估大量基因型的耐盐性时节省了人力、时间和资源,还提供了一种通过农业生理性状了解耐盐机制的可靠途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f61d/12388888/a39e4adf8de5/plants-14-02488-g001.jpg

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