马来西亚半岛水稻地理溯源的水稻土壤元素评价

IF 5.6 2区 农林科学 Q1 AGRONOMY
Nazaratul Ashifa Abdullah Salim , Norlida Mat Daud , Julieta Griboff , Abdul Rahim Harun
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引用次数: 0

摘要

本调查旨在通过评估水稻土中的元素组成来确定马来西亚水稻的地理可追溯性。采用多元素测定与化学计量学相结合的方法,对同一水稻品种栽培的稻谷土进行了元素含量测定,并探讨了土壤元素与水稻系统(SAR)的关系。采用中子活化分析方法,成功地测定了吉打州、雪兰莪州和兰卡威的水稻土中的29种元素(铝、砷、钡、溴、钙、氯、钴、铬、铯、铕、铁、镓、铪、钾、镧、镥、镁、锰、钠、铷、锑、钪、钐、钍、钛、铀、钒、镱和锌)。显著差异(P <土壤样品中18种元素间的差异为0.05)。主成分和线性判别分析的化学计量学方法表明,土壤样品的区分清晰,分类正确率高(100%)。通过评估10种元素(铝、砷、溴、氯、钾、镁、锰、钠、铷和锌)也实现了高分类(98.1%),这同样适用于水稻地理来源的确定。相似元素的SAR在相关模式和生物积累因子上也存在差异。此外,广义Procrustes分析显示SAR之间有98%的一致性,研究区域之间存在明显差异。典型相关分析表明,SAR的化学成分在两组间具有显著的相关性(r2 = 0.88, P <0.001)。因此,目前的工作模型为确定水稻的来源提供了可靠的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elemental Assessments in Paddy Soil for Geographical Traceability of Rice from Peninsular Malaysia

This investigation aimed to establish the geographical traceability of Malaysian rice by assessing the elemental composition in paddy soil. Multi-element determination in combination with a chemometric approach was applied to evaluate the elemental concentrations of paddy soil from granaries cultivated with the same rice variety and to assess the relationship between elements in the soil and rice (SAR) system. A total of 29 elements (aluminum, arsenic, barium, bromine, calcium, chlorine, cobalt, chromium, cesium, europium, iron, gallium, hafnium, potassium, lanthanum, lutetium, magnesium, manganese, sodium, rubidium, antimony, scandium, samarium, thorium, titanium, uranium, vanadium, ytterbium and zinc) were successfully determined in paddy soil from Kedah, Selangor and Langkawi by neutron activation analysis. A significant difference (P < 0.05) between 18 elements in the soil samples was obtained. The chemometric approaches of principal component and linear discriminant analyses demonstrated clear discrimination and highly corrected classification (100%) of the soil samples. A high classification (98.1%) was also achieved by assessing 10 elements (aluminum, arsenic, bromine, chlorine, potassium, magnesium, manganese, sodium, rubidium and zinc), which similarly applied to rice geographical origin determination. Similar elements in SAR were also observed for differences in the pattern of correlation and bioaccumulation factor between the granaries. Furthermore, the generalized Procrustes analysis showed a 98% consensus between SAR and clear differences between the studied regions. The canonical correlation analysis demonstrated a significant correlation between the chemical profile of SAR (r2 = 0.88, P < 0.001). Therefore, the current work model provides a reliable assessment to establish rice provenance.

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来源期刊
Rice Science
Rice Science Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
8.90
自引率
6.20%
发文量
55
审稿时长
40 weeks
期刊介绍: Rice Science is an international research journal sponsored by China National Rice Research Institute. It publishes original research papers, review articles, as well as short communications on all aspects of rice sciences in English language. Some of the topics that may be included in each issue are: breeding and genetics, biotechnology, germplasm resources, crop management, pest management, physiology, soil and fertilizer management, ecology, cereal chemistry and post-harvest processing.
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