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Ionome of rice seed response to rice cultivation patterns

The elemental composition of a subcellular compartment, cell, tissue or organism is termed as ionome, which involves of all mineral elements of life, regardless of chemical forms these occur. Ionome is the inorganic chemical element’s fingerprint of plant that quantitatively and accurately reflects inorganic response of plants to environment stimuli. A field experiment was conducted to explore the differences and correlations of mineral elements in rice seeds cultivated in conventional cultivation ecosystem, green rice-frog ecosystem and organic rice-frog ecosystem under long-term management. The study also determined the transportability of available elements from soil to rice seeds to explore the correlation of elements between soil and rice seed. The concentrations of 21 mineral elements in the rice samples and soil were determined using high-throughput elemental analysis technology such as inductively coupled plasma optical emission and mass spectrometry (ICP-MS). Statistical method used to profile multi-elemental composition, and principle component analysis (PCA) to discriminate differences among treatments. Then ANOVA analysis was used to compare the differences among treatments for each element.

Based on nutrient element accumulation in rice, the study showed that green rice-frog ecosystem was better than both organic rice-frog ecosystem and the conventional cultivation system. However, uptake and accumulation of some non-essential elements in rice seeds under green rice-frog ecosystem and organic rice-frog ecosystem was lower, posing a risk to rice crops and food security. Therefore, it is important to improve existing knowledge on scientific management of nutrients as well as reasonable adjustment of planting structures to ensure food security.

Title of publication: Chinese Journal of Eco-Agriculture
Volume: 24
Issue: 5
ISSN: 1671-3990
Page range: 600-607
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Year: 2016
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Country/ies: China
Geographical coverage: Asia and the Pacific
Content language: Chinese (Traditional)
Author: CAO Lin-kui , SHA Zhimin, YUAN Jing, ZHAO Zheng, YUE Yubo, YAO Jian
Type: Journal article
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