新疆农业科学 ›› 2024, Vol. 61 ›› Issue (8): 1861-1871.DOI: 10.6048/j.issn.1001-4330.2024.08.005

• 作物遗传育种·种质资源·分子遗传学·耕作栽培·生理生化 • 上一篇    下一篇

基于apriori算法对盆栽春小麦生理指标及产量的分析

袁莹莹1(), 赵经华1(), 迪力穆拉提·司马义2, 杨庭瑞1   

  1. 1.新疆农业大学水利与土木工程学院/新疆水利工程安全与水灾害防治重点实验室,乌鲁木齐 830052
    2.喀什市水利局,新疆喀什 844000
  • 收稿日期:2024-01-11 出版日期:2024-08-20 发布日期:2024-09-19
  • 通信作者: 赵经华(1979-),男,新疆奇台人,教授,博士,硕士生/博士生导师,研究方向为节水灌溉,(E-mail)105512275@qq.com
  • 作者简介:袁莹莹(2000-),女,黑龙江哈尔滨人,硕士研究生,研究方向为节水灌溉,(E-mail)yuanyingying136@163.com
  • 基金资助:
    国家自然科学基金项目(52169013);新疆维吾尔自治区“十四五”重大专项项目(2020A01003-4)

Study on physiological indexes and yield analysis of spring wheat in pots based on apriori algorithm

YUAN Yingying1(), ZHAO Jinghua1(), Dilimulati Simayi2, YANG Tingrui1   

  1. 1. College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University / Xinjiang Key Laboratory of Water Conservancy Engineering Safety and Water Disaster Prevention, Urumqi 830052, China
    2. Kashgar Water Conservancy Bureau, Kashgar Xinjiang 844000, China
  • Received:2024-01-11 Published:2024-08-20 Online:2024-09-19
  • Correspondence author: ZHAO Jinghua(1979-), male, from Qitai, Xinjiang, Dr. professor, research direction:water-saving irrigation technology, (E-mail)105512275@qq.com
  • Supported by:
    The Project of National Natural Foundation of China(52169013);The Major Special Project of the 14th Five Year Plan of Xinjiang Uygur Autonomous Region(2020A01003-4)

摘要:

【目的】研究土壤、残膜、灌溉制度等因素对新疆北疆春小麦的生长发育及产量的影响。【方法】试验采用盆栽试验,运用正交试验设计,选取土壤质地、灌溉方式、灌水定额、灌水次数、土壤地膜残留量5因素,各因素设置4水平,研究不同试验因素组合下春小麦株高、叶绿素含量、有效穗数、穗粒数、产量、水分利用效率和土壤含水率各指标的差异及变化;利用apriori算法分析小麦各生理指标间的关联性。【结果】全生育期内不同处理下小麦株高变化趋势基本一致,对小麦株高影响较大的因素为灌溉制度;小麦全生育期内叶绿素值整体上呈现单峰变化趋势,适当提高土壤肥力可以增产;土壤含水率与土壤质地和灌水量有明显的相关性。在灌浆期适度增加灌水能够提高小麦叶片光合速率,达到增产效果;灌水次数以及灌溉方式对小麦产量及产量构成因素有显著性影响,渗灌的增产效果表现突出。最高耗水量和最大穗粒数,最大有效穗数,最大株高具有强相关性;最高耗水量与最低干物质重、最低SPAD值有强关联性;最高株高与最低SPAD值呈强相关性。【结论】土壤质地为粘壤土,灌水方式为渗灌,灌水700 kg/hm2,地膜残留量为0时春小麦产量最高,能够达到71.56 g/盆;灌水定额700 kg/hm2与最高耗水量和最大株高、最低SPAD值、最大有效穗数、最大穗粒数具有强相关性。过高的灌水量和耗水量会导致株高过高,SPAD值小。

关键词: 春小麦; 生理指标; 产量; 关联规则; apriori算法

Abstract:

【Objective】 To provide a theoretical basis for wheat planting in northern Xinjiang. 【Methods】 Five factors (soil texture, irrigation mode, irrigation quota, irrigation frequency and soil mulch film residue) were selected, and four levels were set for each factor, and the difference of spring wheat plant height, chlorophyll value, effective ear number, ear grain number, yield, water use efficiency and soil moisture content under different experimental factors were explored. Meanwhile, the apriori algorithm was used to explore the association rules between physiological indicators. 【Results】 The change trend of wheat plant height under different treatments during the whole growth period was basically the same, and the factor that had a greater influence on wheat plant height was the irrigation system. The chlorophyll value of wheat showed a unimodal trend during the whole growth period, and appropriate improvement of soil fertility could increase yield. There was a significant correlation between soil moisture content and soil texture and irrigation volume. Moderately increasing irrigation during the filling period could increase the photosynthetic rate of wheat leaves and achieve the effect of increasing yield. The frequency of irrigation and the irrigation method had a significant impact on the yield and yield composition factors of wheat, and the yield increase effect of infiltration irrigation was outstanding. The highest water consumption, maximum number of ear grains, maximum effective ear number and maximum plant height were strongly correlated. The highest water consumption was strongly correlated with the lowest dry matter weight and the lowest SPAD value. The highest plant height was strongly correlated with the lowest SPAD value. 【Conclusion】 The soil texture is clay loam, the irrigation method is seepage irrigation with 700 kg/hm2, and the highest yield of spring wheat is achieved when the residual amount of mulch is 0, which is able to reach 71.56 g/pot. The irrigation quota of 700 kg/hm2 is strongly correlated with the highest water consumption, maximum plant height, minimum SPAD value, maximum effective panicle number, maximum ear grain number. Excessive irrigation and consumption will lead to high plant height, and low SPAD value.

Key words: spring wheat; physiological characters; yield; association rules; apriori algorithm

中图分类号: 


ISSN 1001-4330 CN 65-1097/S
邮发代号:58-18
国外代号:BM3342
主管:新疆农业科学院
主办:新疆农业科学院 新疆农业大学 新疆农学会

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