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基于便携式作物生长监测诊断仪的红壤花生叶片氮积累量和叶面积指数监测

黄俊宝 曹中盛 孙滨峰 彭忻怡 李艳大

江西农业学报2024,Vol.36Issue(4):8-12,5.
江西农业学报2024,Vol.36Issue(4):8-12,5.DOI:10.19386/j.cnki.jxnyxb.2024.04.002

基于便携式作物生长监测诊断仪的红壤花生叶片氮积累量和叶面积指数监测

Monitoring of Leaf Nitrogen Accumulation and Leaf Area Index of Peanut in Red Soil Based on Portable Apparatus for Crop Growth Monitoring and Diagnosis

黄俊宝 1曹中盛 1孙滨峰 1彭忻怡 1李艳大1

作者信息

  • 1. 江西省农业科学院 农业工程研究所/江西省农业信息化工程技术研究中心,江西 南昌 330200
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摘要

Abstract

Two peanut varieties were used as the research objects,and four nitrogen application levels were set.The quantitative relationship between the dynamic changes of growth indexes and canopy spectral vegetation index of peanut in red soil at different growth stages was analyzed.The canopy spectral vegetation index was collected by portable crop growth monitoring and diagnosis apparatus(CGMD-402)at the key growth stages(seedling stage,flowering-pegging stage,podding stage and pod filling stage),and the aboveground biomass,leaf nitrogen accumulation(LNA)and leaf area index(LAI)of each treatment were measured simultaneously.The monitoring model of LAI and LNA of peanut in red soil based on CGMD-402 was constructed.The results showed that the nitrogen application level affected the growth of peanut plants in red soil,and the aboveground biomass increased with the increase of nitrogen application rate.LNA and LAI increased first and then decreased with the growth process.The normalized difference vegetation index(NDVI)of peanut canopy leaves at flowering-pegging stage and podding stages had good correlation with LAI and LNA,respectively.Therefore,the CGMD-402 could be used to monitor LAI and LNA in peanuts,which provides technical support for precise nitrogen application management of peanut in red soil of Jiangxi Province.

关键词

作物生长监测诊断仪/红壤花生/叶面积指数/叶片氮积累量/监测模型

Key words

Crop growth monitoring and diagnosis apparatus/Peanuts planted in red soil/Leaf area index/Leaf nitrogen accumulation/Monitoring model

分类

农业科技

引用本文复制引用

黄俊宝,曹中盛,孙滨峰,彭忻怡,李艳大..基于便携式作物生长监测诊断仪的红壤花生叶片氮积累量和叶面积指数监测[J].江西农业学报,2024,36(4):8-12,5.

基金项目

国家自然科学基金项目(31960364) (31960364)

江西省"双千"计划项目. ()

江西农业学报

OACSTPCD

1001-8581

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