Effect of rice cultivars on yield-scaled methane emissions in a double rice field in South China

文献类型： 外文期刊

第一作者： Qin, Xiaobo

作者： Qin, Xiaobo;Li, Yu'e;Li, Jianling;Wan, Yunfan;Gao, Qingzhu;Wang, Hong;Liao, Yulin;Fan, Meirong

作者机构：

关键词： Double rice field;South China;rice cultivar;yield-scaled methane emission;decision regression tree analysis

期刊名称：JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES （ 影响因子：1.875； 五年影响因子：2.902 ）

ISSN： 1943-815X

年卷期： 2015 年 12 卷

页码：

收录情况： SCI

摘要： Rice cultivar is the most influential factor affecting methane emissions from double rice fields. A two-year field experiment was conducted at Huizhou, Guangdong province, South China, to identify from among nine cultivars those cultivars with high-yield potential and lower yield-scaled methane emissions (YSMEs). Methane emissions were measured using the static chamber - gas chromatograph method. Results indicate that the cultivars Qihuazhan (QH), Yexianzhan 8 (YX8) and Yue'erzhan (YE) provide higher rice grain yield (8.69%) with lower YSME (30.27%) compared to the other six cultivars (Yexianzhan 6, Yuejingsimiao, Hefengzhan, Huangsizhan, Huangruanzhan and Huangxiuzhan) (p<0.05). In particular, QH has the highest yield potential (6777kgha(-1)) and lowest methane emission intensity (0.36kgkg(-1) yield) capacity. Methane emissions from the double rice field was found to be significantly (p<0.05) and positively correlated with tiller number, culm biomass and soil organic matter, dissolved soil organic carbon and total carbon content, but negatively correlated (p<0.05) with rice harvest index (HI), and root and panicle biomass, suggesting that organic source strength provides the substrate of methane production while the oxidation potential in the rhizosphere and the methane transport capacity of rice roots and culm dominate the emissions of methane from soil to the atmosphere. Multivariate decision regression tree (DRT) analysis showed a significant class difference between QH, YX8 and YE with the other six cultivars. These three cultivars are suitable for promotion of low carbon agriculture in South China. DRT analysis also successfully illustrated a potential way to identify rice varieties for low YSME by decisive parameters of tiller number (<15), HI (>0.43) and nitrogen assimilation of leaves (<40). These findings suggest that optimization of rice cultivars may represent an effective way to address both food demand and climate change concerns by improving rice yields while simultaneously minimizing the impact of climate change per unit yield.

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