中国农业气象 ›› 2023, Vol. 44 ›› Issue (07): 624-632.doi: 10.3969/j.issn.1000-6362.2023.07.007

• 农业生物气象栏目 • 上一篇    下一篇

基于温光效应的江淮地区一季稻稻米营养品质模拟模型

王学林,尚秉琛,张玉龙,柳军,蒋跃林   

  1. 1.合肥市气象局,合肥 230000;2.安徽农业大学资源与环境学院,合肥 230000
  • 收稿日期:2022-08-27 出版日期:2023-07-20 发布日期:2023-07-17
  • 作者简介:王学林,硕士,工程师,主要从事农业气象灾害研究,E-mail:912856253@qq.com
  • 基金资助:
    中国气象局创新发展专项项目“农业气象试验站区域联合试验(CXFZ2022J051)”;南昌市农业气象重点实验室开放基金项目“江淮一季稻最佳播期指标体系研究与应用”(2019NNZS202)

Simulation Model of Nutrient Quality for One-season Rice in Jianghuai Regions Based on Light and Temperature Function

WANG Xue-lin, SHANG Bing-chen, ZHANG Yu-long, LIU Jun, JIANG Yue-lin   

  1. 1.Hefei Meteorology Bureau of Anhui Province, Hefei 230000,China; 2.College of Resources and Environment, Anhui Agricultural University, Hefei 230000
  • Received:2022-08-27 Online:2023-07-20 Published:2023-07-17

摘要: 以江淮地区一季稻主栽品种“辐优17”为试验材料,采用分期播种试验,系统测定不同温光条件下稻米赖氨酸、蛋白质、直链淀粉以及脂肪含量等营养品质指标,建立基于温光效应的水稻稻米营养品质模拟模型,并利用独立试验资料对模型进行检验。结果表明:(1)水稻稻米营养品质含量与水稻生长发育过程中温度和光照条件密切相关,稻米赖氨酸、蛋白质、直链淀粉以及脂肪含量与水稻生长期内累计温光效应值呈正相关。(2)灌浆期累计温光效应值影响水稻灌浆过程和籽粒粒重积累过程,开花后累计温光效应值越高,籽粒灌浆过程越快,粒重积累持续时间越短。(3)温光效应模型对水稻稻米赖氨酸、蛋白质、直链淀粉以及脂肪含量的模拟,与传统的辐热积法和有效积温法相比,显著提高了水稻稻米营养品质预测精度。

关键词: 一季稻, 江淮地区, 温光效应, 营养品质, 有效积温

Abstract: "Fuyou 17" of one-season rice main varieties in the Jianghuai regions was used as the experimental material, and staged sowing experiments was used, and nutritional quality indicators of rice lysine, protein, amylose and fat content were systematically measured, a simulation model of rice nutrition quality based on light and temperature function was established and tested with independent experimental data. The results showed that: (1)the nutritional quality content of rice was closely related to the temperature and light conditions during the entire growth and development of rice, and the contents of lysine, protein, amylose and fat in rice were positively correlated with the cumulative light and temperature function value. (2)Cumulative light and temperature function value during grain filling period affected grain filling process and grain weight accumulation in rice, higher the cumulative light and temperature function value after flowering, the faster the grain filling process and the shorter the duration of grain weight accumulation. (3)In the process of simulating the contents of lysine, protein, amylose and fat in rice, the light and temperature function model significantly improved the prediction accuracy of rice nutritional quality compared with the traditional thermal effectiveness and photosynthesis active radiation method and growing degree days method. The results of this study can provide important reference for the evaluation of rice climate quality and the adjustment of rice optimal sowing date in Jianghuai regions.

Key words: One-season rice, Jianghuai regions, Light and temperature function, Nutritional quality, Growing degree days