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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (30): 106-113.doi: 10.11924/j.issn.1000-6850.casb15060055

所属专题： 油料作物； 园艺

• 农学 农业基础科学 • 上一篇    下一篇

油菜叶面积和叶鲜重估计研究

马 驿,张 煦,李岚涛,汪善勤   

  1. (华中农业大学农业部长江中下游耕地保育重点实验室,武汉 430070）
  • 收稿日期:2015-06-09 修回日期:2015-09-29 接受日期:2015-08-13 出版日期:2015-10-29 发布日期:2015-10-29
  • 通讯作者: 汪善勤
  • 基金资助:
    国家高技术研究发展(863)计划项目子课题“基于低空遥感的农业管理技术研究”(2013AA102401-3)。

Research on the Estimation of Rapeseed Leaf Area and Fresh Weight

Ma Yi, Zhang Xu, Li Lantao, Wang Shanqin   

  1. (Key Laboratory of Arable Land Conservation of the Ministry of Agriculture (Middle and Lower Reaches of Yangtze River), Huazhong Agricultural University, Wuhan 430070)
  • Received:2015-06-09 Revised:2015-09-29 Accepted:2015-08-13 Online:2015-10-29 Published:2015-10-29

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摘要： 为快速获取大田油菜长势监测信息，针对不同栽种方式和施肥水平对油菜叶片生长的影响，建立单株油菜叶面积和叶鲜重估计模型。分别于2013—2015年的2个油菜种植季，设置不同施肥水平下直播和移栽油菜试验小区。在油菜叶片形态差异最大的六叶期和蕾薹期，测量样株所有叶片的长、宽、面积和鲜重，采用方差分析对比栽种方式和施肥水平对油菜叶片生长的影响，运用麦夸特法+通用全局优化法建立叶面积和叶鲜重的长宽估计模型。在不同施肥水平和栽种方式下，2个生长期的油菜叶面积和叶鲜重与叶宽关系均比叶长更明显；相同条件下蕾薹期油菜叶片变异程度比六叶期要大，2个时期不同施氮水平、栽种方式下油菜叶面积、叶鲜重差异均达到极显著水平，但两者对叶片的交互作用未达到显著水平。叶宽线性模型估算叶面积和叶鲜重的预测R2为0.89、0.84，RMSEP为32.40 cm2、2.54 g，长宽幂函数模型与常规的长宽线性模型相比，叶面积和叶鲜重的预测R2为0.97、0.94，RMSEP为 12.92 cm2、0.86 g。不同生长条件下，叶宽线性模型可用于快速获取油菜单片叶面积和叶鲜重，长宽幂函数模型受施肥水平、栽种方式、叶形、生长期等因素影响较小，适用于精确估计单株油菜叶面积和叶鲜重。

关键词: 烤烟, 烤烟, 土壤肥力, 地膜, 产量, 质量

Abstract: In order to rapidly obtain growth information of the rapeseed in field, the models of leaf area and fresh weight of a single plant should be built on the growth conditions under different fertilization levels and sowing ways. Plot experiments with different fertilization levels and sowing ways were conducted in two consecutive rapeseed planting seasons in 2013-2015. The length, width, area and fresh weight of each leaf of the sampled plants were measured at six-leaf stage and bolting stage, in which the leaves of rapeseed were of the most morphological variation. The analysis of variance was used to analyze the influence of different planting patterns and fertilization levels on rapeseed leaf. And the Levenberg-Marquardt and Universal Global Optimization methods were used to optimize the length-width function model to estimate leaf area (LA) and fresh weight (FW). The correlations among leaf area, fresh weight and leaf width was more significant than those among leaf area, fresh weight and leaf length under different fertilization levels and sowing ways at six-leaf stage and bolting stage. Variation of LA and FW at bolting stage was greater than those at six-leaf stage. Moreover, there were significant variance of LA and FW under different planting patterns and N treatments levels. No significance was found in cross verification. LA and FW were estimated well with leaf width (R2=0.89 and RMSEP=32.40 cm2 for LA model and R2=0.84 and RMSEP=2.54 g for FW model). The validation of models (R2=0.97 and RMSEP=12.92 cm2 for LA model, and R2=0.94 and RMSEP=0.86 g for FW model) showed that length-width power function models were of the highest precision compared with other models. Under different growth conditions, the leaf width linear model was promising to rapidly estimate leaf area and fresh weight of a single rapeseed plant, while length-width power function models could be used to accurately estimate leaf area and fresh weight in large field with minor influence of leaf morphology and growth stages.

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