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

机译:南方双稻田水稻品种对甲烷排放量的影响

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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.
机译:水稻品种是影响双稻田甲烷排放的最重要因素。在华南广东省惠州市进行了为期两年的田间试验,从9个品种中鉴定出具有高产潜力和较低产量甲烷排放(YSMEs)的品种。使用静态室-气相色谱法测量甲烷排放量。结果表明,与其他六个品种(叶县站6号,月经四条,6号)相比,启化站(QH),叶下站8(YX8)和月尔站(YE)提供的水稻籽粒产量更高(8.69%),而YSME(30.27%)更低。合丰站,黄寺站,黄阮站和黄秀站)(p <0.05)。特别是,QH具有最高的产量潜力(6777kgha(-1))和最低的甲烷排放强度(0.36kgkg(-1)产量)能力。发现双稻田甲烷排放显着(p <0.05),与分till数,茎秆生物量和土壤有机质,溶解土壤有机碳和总碳含量呈正相关,与稻米呈负相关(p <0.05)。收获指数(HI)以及根和穗生物量,表明有机源强度为甲烷的生产提供了基础,而根际的氧化势以及稻根和茎秆的甲烷运输能力主导着甲烷从土壤向大气的排放。多元决策回归树(DRT)分析显示,QH,YX8和YE与其他六个品种之间存在显着的类别差异。这三个品种都适合在华南地区推广低碳农业。 DRT分析还成功地说明了通过分(数(<15),HI(> 0.43)和叶片氮吸收(<40)的决定性参数识别低YSME水稻品种的潜在方法。这些发现表明,优化水稻品种可能是通过提高水稻产量同时最小化每单位产量对气候变化的影响来解决粮食需求和气候变化问题的有效途径。

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