Suppr超能文献

δC作为预测作物铁和磷缺乏的一种工具。

δC as a tool for iron and phosphorus deficiency prediction in crops.

作者信息

Trevisan Fabio, Tiziani Raphael, Hall Robert D, Cesco Stefano, Mimmo Tanja

机构信息

Faculty of Science and Technology Free University of Bolzano Bolzano Italy.

Laboratory of Plant Physiology Wageningen University & Research Wageningen The Netherlands.

出版信息

Plant Direct. 2023 Mar 20;7(3):e487. doi: 10.1002/pld3.487. eCollection 2023 Mar.

Abstract

Many studies proposed the use of stable carbon isotope ratio (δC) as a predictor of abiotic stresses in plants, considering only drought and nitrogen deficiency without further investigating the impact of other nutrient deficiencies, that is, phosphorus (P) and/or iron (Fe) deficiencies. To fill this knowledge gap, we assessed the δC of barley ( L.), cucumber ( L.), maize ( L.), and tomato ( L.) plants suffering from P, Fe, and combined P/Fe deficiencies during a two-week period using an isotope-ratio mass spectrometer. Simultaneously, plant physiological status was monitored with an infra-red gas analyzer. Results show clear contrasting time-, treatment-, species-, and tissue-specific variations. Furthermore, physiological parameters showed limited correlation with δC shifts, highlighting that the plants' δC, does not depend solely on photosynthetic carbon isotope fractionation/discrimination (Δ). Hence, the use of δC as a predictor is highly discouraged due to its inability to detect and discern different nutrient stresses, especially when combined stresses are present.

摘要

许多研究提出使用稳定碳同位素比率(δC)作为植物非生物胁迫的预测指标,这些研究仅考虑了干旱和氮缺乏,而没有进一步研究其他养分缺乏的影响,即磷(P)和/或铁(Fe)缺乏的影响。为了填补这一知识空白,我们使用同位素比率质谱仪在两周时间内评估了遭受P、Fe以及P/Fe联合缺乏的大麦(Hordeum vulgare L.)、黄瓜(Cucumis sativus L.)、玉米(Zea mays L.)和番茄(Solanum lycopersicum L.)植株的δC。同时,使用红外气体分析仪监测植物的生理状态。结果显示出明显的时间、处理、物种和组织特异性差异。此外,生理参数与δC变化的相关性有限,这突出表明植物的δC不仅仅取决于光合碳同位素分馏/歧视(Δ)。因此,由于δC无法检测和区分不同的养分胁迫,尤其是当存在复合胁迫时,强烈不建议将其用作预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6c9/10027435/57c199a21bae/PLD3-7-e487-g002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验