中国农业科学 ›› 2020, Vol. 53 ›› Issue (19): 3900-3914.doi: 10.3864/j.issn.0578-1752.2020.19.005

• 专题:小麦玉米周年光温高效 • 上一篇    下一篇

冬小麦-夏玉米周年农田资源高效利用限制因素分析

刘肖瑜(),张豆豆,焦进宇,陈国庆(),李勇   

  1. 山东农业大学农学院/作物生物学国家重点实验室,山东泰安 271018
  • 收稿日期:2020-05-14 接受日期:2020-08-17 出版日期:2020-10-01 发布日期:2020-10-19
  • 通讯作者: 陈国庆
  • 作者简介:刘肖瑜,E-mail: 291827396@qq.com
  • 基金资助:
    国家重点研发计划(2017YFD0301001)

Analysis on Limiting Factors of Efficient Utilization of Winter Wheat and Summer Maize Farmland Resources

LIU XiaoYu(),ZHANG DouDou,JIAO JinYu,CHEN GuoQing(),LI Yong   

  1. College of Agronomy, Shandong Agricultural University/State Key Laboratory of Crop Biology, Tai’an 271018, Shandong
  • Received:2020-05-14 Accepted:2020-08-17 Online:2020-10-01 Published:2020-10-19
  • Contact: GuoQing CHEN

摘要:

【目的】随着耕地面积的减少、人口数量的增加以及社会经济的迅速发展,增加单位面积作物产量是提升粮食总产量、确保我国粮食安全的重要途径。探索农田资源高效利用途径及限制因素,为提高作物单位面积产量提供指导。【方法】本研究以冬小麦、夏玉米为研究对象,在山东省4个生态区域(鲁东、鲁中、鲁西北及鲁西南),利用模拟模型等方法研究2008—2017年不同气候、栽培管理条件下作物产量,提出定量化评价指标,分析并明确影响各生态区域资源利用及产量提升的主要限制因素。【结果】(1)鲁东地区冬小麦生长季受光温资源、品种、栽培模式、水资源、氮肥资源因素影响率分别为16.96%、20.68%、1.39%、60.97%、0;鲁中地区受各因素影响率分别为37.72%、20.16%、1.57%、40.55%、0;鲁西北地区分别为17.90%、19.11%、1.20%、61.79%、0;鲁西南地区分别为33.65%、23.80%、1.65%、40.90%、0。(2)鲁东地区夏玉米生长季受光温资源、品种、栽培模式、水资源、氮肥资源因素影响率分别为49.11%、9.07%、10.64%、31.18%和0;鲁中地区受各限制因素影响率分别为56.62%、10.86%、11.65%、20.87%、0;鲁西北地区各因素影响率分别为43.01%、18.95%、11.26%、26.78%和0;鲁西南地区各因素影响率分别为64.42%、5.44%、15.84%、14.30%和0。【结论】冬小麦生长季鲁东、鲁西北地区农田资源主要受水分资源限制,其次是光温资源和品种的限制,栽培模式和氮肥资源影响不大。鲁中、鲁西南地区则主要受光温资源和水分资源的共同影响,其次受品种因素限制。夏玉米生长季4个地区均受光温资源因素影响最大,水资源次之,品种和栽培模式影响较小。

关键词: 冬小麦, 夏玉米, 资源利用, 产量, 限制因素

Abstract:

【Objective】With the decrease of cultivated land area, the increase of population and the rapid development of social economy, increasing crop yield per unit area is an important way to improve the total grain yield and ensure the food security in China. It is of great significance to explore the way of high efficiency and limiting factors to improve the unit yield. 【Method】 In this study, winter wheat and summer maize were taken as the research objects. In four ecological regions of Shandong province (eastern Shandong, central Shandong, northwestern Shandong and southwestern Shandong), the simulation model and other methods were employed to study yield under different climate and cultivation management conditions in 2008-2017, to put forward quantitative evaluation indicators, to analyze and clarify the main limiting factors affecting resource utilization and yield.【Result】(1) In the growth season of winter wheat in the eastern Shandong, the influencing rates of light and temperature resource, variety, cultivation pattern, water resource and nitrogen resource were 16.96%, 20.68%, 1.39%, 60.97% and 0, respectively, those in central Shandong were 37.72%, 20.16%, 1.57%, 40.55% and 0, and those in northwestern Shandong were 17.90%, 19.11%, 1.20%, 61.79%, 0, respectively; Those in southwestern Shandong were 33.65%, 23.80%, 1.65%, 40.90% and 0 respectively. (2) In the growth season of summer maize in the eastern Shandong, the influencing rates of light and temperature resource, variety, cultivation mode, water resource and nitrogen resource were 49.11%, 9.07%, 10.64%, 31.18% and 0, respectively; In central Shandong, the influence rates of each limiting factor were 56.62%, 10.86%, 11.65%, 20.87% and 0, respectively; In northwestern Shandong, the influence rates of each factor were 43.01%, 18.95% 11.26%, 26.78% and 0; Those in southwestern Shandong were 64.42%, 5.44%, 15.84%, 14.30% and 0, respectively. 【Conclusion】 In the winter wheat growing season, the farmland resources in the eastern and northwestern Shandong were mainly limited by water resource, followed by light and temperature resource and variety, and the cultivation mode and nitrogen resource had little influence. In the central and southwestern Shandong, it was mainly affected by light and temperature resource and water resources, followed by the variety factors. The growth season of maize in the four regions was influenced by light and temperature resource, followed by water resource, and less by varieties and cultivation patterns.

Key words: winter wheat, summer maize, resource utilization, yield, limiting factors