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冬小麦–夏玉米高产模式周年气候资源分配与利用特征研究
引用本文:周宝元,马玮,孙雪芳,丁在松,李从锋,赵明.冬小麦–夏玉米高产模式周年气候资源分配与利用特征研究[J].作物学报,2019,45(4):589-600.
作者姓名:周宝元  马玮  孙雪芳  丁在松  李从锋  赵明
作者单位:中国农业科学院作物科学研究所/农业部作物生理生态与栽培重点开放实验室
基金项目:This study was supported by the National Key Research and Development Program of China(2016YFD0300207);China Agriculture Research System(CARS-02-12)
摘    要:探明周年产量20,000kghm–2以上冬小麦–夏玉米种植模式周年气候资源分配与利用特征,并建立资源优化配置定量指标,为进一步提升黄淮海该模式周年产量潜力和气候资源利用效率提供理论依据,具有重要意义。本研究利用2006—2010年黄淮海区9个高产点共45个田间试验的数据,定量分析了冬小麦–夏玉米模式高产形成与季节间光温水资源分配的关系。结果表明,三省9个试验点冬小麦–夏玉米均实现了周年20,000kghm–2以上高产,但区域间差异较大,河南和山东小麦产量最高,山东夏玉米产量最高,河南和山东周年产量分别高于河北16.9%和21.5%。产量的变化主要由光温水分配差异造成,河南和山东小麦季积温量在1924.2~2608.0°C和降雨量小于201.1mm范围时产量均高于河北,山东玉米季辐射量在2168.5~2953.8 MJ m–2、积温量小于2990.7°C和降水量小于591.3 mm范围时产量均高于河南和河北。然而省份间冬小麦–夏玉米模式季节间热量资源分配率和分配比值相对固定,即小麦季和玉米季积温分配率分别为43%和57%,两季间积温比值为0.7,这是该区当前生产和生态条件下冬小麦–夏玉米模式季节间资源合理配置的定量标准。在不增加任何投入的前提下依据该定量指标来指导黄淮海不同生态区冬小麦–夏玉米种植模式的资源优化配置,对促进黄淮海该种植模式可持续发展具有重要意义。

收稿时间:2018-09-22

Characteristics of annual climate resource distribution and utilization in high-yielding winter wheat-summer maize double cropping system
ZHOU Bao-Yuan,MA Wei,SUN Xue-Fang,DING Zai-Song,LI Cong-Feng,ZHAO Ming.Characteristics of annual climate resource distribution and utilization in high-yielding winter wheat-summer maize double cropping system[J].Acta Agronomica Sinica,2019,45(4):589-600.
Authors:ZHOU Bao-Yuan  MA Wei  SUN Xue-Fang  DING Zai-Song  LI Cong-Feng  ZHAO Ming
Institution:Institute of Crop Sciences, Chinese Academy of Agricultural Sciences / Key Laboratory of Crop Physiology and Production, Ministry of Agriculture, Beijing 100081, China
Abstract:To clarify the characteristics of the resource distribution and its use efficiency for wheat-maize cropping system with high yield potential of 20,000 kg ha -1 is essential for increasing annual yield and resource use efficiency in the Huang-Huai-Hai Plain. The relationship between high yield and distributions of radiation, accumulated temperature, and precipitation in seasons of winter wheat-summer maize cropping system was quantitatively analyzed by using the data of 45 field experiments from nine sites in Huang-Huai-Hai Plain from 2006 to 2010. The annual yield of winter wheat and summer maize in nine sites of the three provinces achieved more than 20,000 kg ha -1, with large differences among regions. Among the three provinces, the yield of wheat in Henan and Shandong and summer maize in Shandong was the highest, accounting for 16.9% and 21.5% higher than these in Hebei, respectively. The greater differences of yield among the three provinces mainly came from the distribution differences in radiation, accumulated temperature, and precipitation. The accumulated temperature and precipitation during wheat growth season in Henan and Shandong were higher than those in Hebei, when the accumulated temperature was from 1924.2°C to 2608°C, and rainfall was less than 201.1 mm; while the accumulated temperature, radiation, and precipitation during maize growth season in Shandong were higher than those in Henan and Hebei, when the radiation was 2168.5-2953.8 MJ m -2, the accumulated temperature was less than 2990.7°C, and rainfall was less than 591.3 mm. However, the relatively fixed resources distribution rate between winter wheat and summer maize was found among different experimental sites, the accumulated temperature distribution rate in wheat and maize season was 43% and 57%, respectively, the accumulated temperature ratio between two seasons was 0.7, which is the quantitative standard to dispose the reasonable resources distribution between growth seasons in winter wheat and summer maize. The results are of great significance for promoting the sustainable development of winter wheat and summer maize cropping system in the Huang-Huai-Hai Plain by using the quantitative indexes established in this study to optimize the distribution of resources between two seasons for traditional winter wheat-summer maize cropping system without any input.
Keywords:winter wheat-summer maize cropping system  yield  resource distribution  resource use efficiency  
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