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中国农学通报

中国农学通报 ›› 2025, Vol. 41 ›› Issue (36): 60-66.doi: 10.11924/j.issn.1000-6850.casb2025-0911

• 农学·农业基础科学 • 上一篇    下一篇

内蒙古兴安盟大田农作物分发育期叶面积指数研究

杨玉辉1(), 董静2(), 项群壹3(), 王建国1, 刘冠华1, 吴志峰1   

  1. 1 内蒙古扎赉特旗气象局， 内蒙古扎赉特旗 137600
    2 内蒙古呼和浩特市气象局， 呼和浩特 010000
    3 内蒙古兴安盟气象局， 内蒙古兴安盟 137400
  • 收稿日期:2025-11-08 修回日期:2025-12-14 出版日期:2025-12-25 发布日期:2025-12-25
  • 通讯作者:
    董静，女，1972年出生，内蒙古呼和浩特人，高级工程师，本科，研究方向：气象服务与应用气象。通信地址：010000 内蒙古呼和浩特 呼和浩特市气象局，E-mail：dong ；
    项群壹，女，1997年出生，内蒙古兴安盟突泉人，工程师，本科，研究方向：气象服务与应用气象。通信地址：137400 内蒙古兴安盟气象局，E-mail：。
  • 作者简介:

    杨玉辉，男，1983年出生，辽宁康平人，高级工程师，硕士，研究方向：气象服务与应用气象、综合观测。通信地址：137600 内蒙古兴安盟扎赉特旗 扎赉特旗气象局，E-mail：。

  • 基金资助:
    内蒙古兴安盟气象局科研项目“兴安盟大田农作物分发育期叶面积指数研究项目”(xaqa2025-13)

Study on Leaf Area Index of Field Crops in Xing’an League of Inner Mongolia During Different Development Stages

YANG Yuhui1(), DONG Jing2(), XIANG Qunyi3(), WANG Jianguo1, LIU Guanhua1, WU Zhifeng1   

  1. 1 Zhalant Banner Meteorological Bureau, Zhalant Banner, Inner Mongolia 137600
    2 Hohhot Meteorological Bureau, Hohhot 010000
    3 Xing’an League Meteorological Bureau, Xing’an League, Inner Mongolia 137400
  • Received:2025-11-08 Revised:2025-12-14 Published:2025-12-25 Online:2025-12-25

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摘要：

为修正20世纪60年代农业气象规范中固定叶面积校正系数导致的误差，本研究于2024—2025年在内蒙古扎赉特旗典型农业气象试验区，以玉米、水稻、高粱、大豆、绿豆5种主栽作物为对象，采用坐标纸法系统测定不同生育期的叶面积校正系数(K)与叶面积指数(LAI)。结果表明：（1）作物K值呈显著生育期差异，玉米开花吐丝期(0.856)和大豆分枝期(0.841)达到峰值，平均K值由高至低依次为玉米0.750、水稻0.739、绿豆0.735、大豆0.709、高粱0.683，均显著高于传统经验值；（2）LAI呈单峰型动态变化，峰值集中在生殖生长期（水稻抽穗开花期最高达2.14），具明显作物特异性；（3）传统固定K值普遍偏低，最大偏差达17.6%，对现代精准农业与遥感反演引入潜在系统性误差。本研究初步构建了兴安盟主栽作物分生育期高精度K值与LAI数据集，为区域作物生长模型构建、遥感验证及智慧气象服务提供了本地化关键参数，有助于推动农业气象观测规范向“动态、精准、分作物、分生育期”方向发展，推动传统经验型农业气象服务向数据驱动型、模型支撑型转变，为智慧农业与气候适应性管理提供可靠科学依据。

关键词: 农作物, 发育期, 坐标纸法, 叶面积指数, 研究

Abstract:

To correct the errors caused by fixed leaf area correction coefficients in agricultural meteorological standards from the 1960s, a systematic study was conducted in 2024-2025 at a typical agricultural meteorological experimental site in Zhalant Banner, Inner Mongolia, focusing on 5 major crops: maize, rice, sorghum, soybean, and mung bean. The coordinate paper method was employed to measure the leaf area correction coefficients (K) and leaf area index (LAI) across different growth stages. The results revealed that: (1) K values of crop exhibited significant variations across growth stages, peaking during the maize flowering and silk emergence stage (0.856) and soybean branching stage (0.841). The average K values were maize (0.750), rice (0.739), mung bean (0.735), soybean (0.709), and sorghum (0.683), all higher than traditional empirical values; (2) LAI displayed a unimodal dynamic pattern, with peak values being concentrated in the reproductive growth stage (reaching up to 2.14 during rice heading and flowering), demonstrating distinct crop-specific characteristics; (3) the traditional fixed coefficients were generally underestimated, with a maximum deviation of 17.6%, introducing systematic errors in modern precision agriculture and remote sensing inversion. This study has constructed the first high-precision crop-specific K and LAI dataset for major crops in Xing’an League, providing localized key parameters for regional crop growth models, remote sensing validation, and smart meteorological services. It has advanced the update of agricultural meteorological observation standards toward a ‘dynamic, precise, crop-specific, and growth-stage-specific’ framework, promoting the transition from traditional empirical services to data-driven, model-supported approaches, thereby laying a solid foundation for smart agriculture and climate adaptation management.

Key words: crops, development stage, coordinate paper method, leaf area index, research