Journal of Integrative Agriculture ›› 2026, Vol. 25 ›› Issue (6): 2353-2361.DOI: 10.1016/j.jia.2025.03.011

• • 上一篇    下一篇

水稻生育后期叶片转色动态模型的构建与特征参数的提取及应用

  

  • 收稿日期:2024-10-18 修回日期:2025-03-20 接受日期:2024-12-27 出版日期:2026-06-20 发布日期:2026-05-06

Model development and feature parameter extraction to capture variations in rice leaf color changes during the later reproductive period

Yanan Xu1, 2*, Yi Tao1*, Chang Ye1, Deshun Xiao1, Song Chen1, Guang Chu1, Chunmei Xu1, Jianliang Huang2#, Danying Wang1#   

  1. 1 State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China

    2 National Key Laboratory of Crop Genetic Improvement/Key Laboratory of Crop Ecophysiology and Farming Systems in the Middle Reaches of the Yangtze River, Ministry of Agriculture and Rural Affairs/College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China

  • Received:2024-10-18 Revised:2025-03-20 Accepted:2024-12-27 Online:2026-06-20 Published:2026-05-06
  • About author:Yanan Xu, E-mail: xuyanan@caas.cn; Yi Tao, E-mail: ancoinna@163.com; #Correspondence Danying Wang, Tel: +86-571-63370191, E-mail: wangdanying@caas.cn; Jianliang Huang, E-mail: jhuang@mail.hzau.edu.cn * These authors contributed equally to this study.
  • Supported by:

    This study was supported by the National Natural Science Foundation of China (32272210) and the Agricultural Science and Technology Innovation Program (ASTIP), China.

PDF

摘要：

水稻生育后期叶片的转色动态直接关系到植株灌浆期间光合物质的积累和营养物质的再利用，影响水稻籽粒的充实和产量的形成。研究水稻生育后期叶片转色动态的表征模型，提取叶片转色动态特征参数，对于高产高效水稻品种的筛选与栽培具有重要意义。本研究以31个水稻品种为材料，动态监测水稻齐穗至成熟期间剑叶、倒2叶和倒3叶的SPAD值并进行归一化处理，建立了水稻生育后期叶色指数（CI）随时间（t）变化的函数模型CI=at2+bt+c，并提取了7个转色特征参数用于定量化比较和评估叶色动态，包含3个转色时间（启始时间T0，50%转色时长T50和转色持续期T100, d）；1个叶色指数（叶色指数终值CIf）；3个平均转色速率（T0−T50转色时段R1，T50−T100转色时段R2，转色全过程Rm, d–1）。利用上述叶片转色动态评价体系分析叶位、品种以及氮处理间水稻叶片转色模式差异，发现与剑叶相比，倒2叶和倒3叶的T0提前2.6−3.0 d，剑叶CIf分别较倒2叶和倒3叶升高12.12%和21.15%，倒3叶R1、R2和Rm较剑叶和倒2叶分别提高10.75%−19.82%、17.99%−20.09%和18.23%−11.61%。水稻产量高于8000 kg ha−1品种的平均T0、T50和T100分别为6.8 d、22.2 d和31.8 d，CIf为0.56，Rm为0.015 d−1。增施N肥推迟春优927和甬优1540剑叶T04.5−6.2 d，降低Rm30.06−32.33%，增加CIf 35.78−39.69%。本研究的结果表明，建立的叶片转色动态模型和参数体系能定量化表征水稻生育后期叶片的转色动态，评价水稻品种间、叶位间和氮处理间叶片转色动态差异。对高产高效水稻品种的选育及其内在机制解析具有重要价值。

Abstract:

The change in leaf color during the later reproductive period of rice is directly related to photoassimilate accumulation and nutrient reuse, and it ultimately affects grain filling and yield.  This study aimed to explore an assessment model that depicts the leaf color change process, and extract parameters that can precisely distinguish differences in leaf color changes among different treatments and varieties.  A total of 31 rice varieties were selected as the field experiment materials in 2019 and 2023.  The SPAD values of the flag, 2nd and 3rd leaves were measured after heading, and they were normalized to the leaf color index (CI).  A functional model for the variation of leaf CI with time (t) in the late reproductive stage of rice was established based on CI=at2+bt+c, and seven color change parameters were extracted for the quantitative comparison and assessment of leaf color changes, including three time related parameters for color change (onset time, T0; midpoint time, T50; and color change duration, T100); one leaf color index (final value of CI, CIf); and three parameters related to the color change rate (the rate during T0−T50, R1; the rate during T50−T100, R2; and the mean color change rate, Rm).  In 2023, Chunyou 927 (CY927) with a dark leaf color and Yongyou 1540 (YY1540) with a normal leaf color were used as materials, and three N fertilizer amounts were applied to explore the effects of N fertilizer on the leaf color change process through the established assessment system.  The T0 of the flag leaf was delayed by 2.6−3.0 d compared to the 2nd and 3rd leaves.  The CIf of the flag leaf was 12.12 and 21.15% higher than those of 2nd and 3rd leaves, respectively.  In addition, the R1, R2 and Rm of the 3rd leaf were 10.75–19.82%, 17.99–20.09% and 18.23–11.61% higher than the flag and 2nd leaves, respectively.  Rice yield was significantly positively correlated with T0, positively correlated with T50 and T100, and negatively correlated with R1, R2 and Rm.  The average T0, T50, and T100 of rice varieties with yields higher than 8,000 kg ha−1 were 6.8, 22.2, and 31.8 d, respectively, with a CIf of 0.563 and an Rm of 0.015 d–1.  N applications delayed T0 by 4.5–6.2 d, reduced Rm by 30.06–32.33%, and increased CIf by 35.78–39.69%.  The established leaf color change model and extracted parameters quantitatively depicted the leaf color change process during the later reproductive period.  They also effectively distinguished the differences in leaf color change among leaf positions, rice varieties and N treatments.  This approach is valuable for selecting and cultivating high-yield and nutrient-efficient rice varieties, as well as for analyzing the underlying mechanisms.

Key words: rice , leaf color-changing , grain filling , model , feature parameters