花生叶面积指数精准快速监测方法研究
S274.1; 为探索适用于花生叶面积指数快速精准测量方法,基于田间调查实测数据,分别采用网格法、比叶重法、系数法、AutoCAD法以及扫描法等5种方法计算了花生不同生育时期的叶面积指数,并以基于扫描法的估算结果为对照,评价了基于其他4种监测方法估算结果的精度,并优化了系数法和比叶重法调查花生叶面积的关键技术指标.结果表明,比叶重法精度较高、监测速度较快、可操作性强,利用比叶重法监测花生叶面积指数,苗期、花针期、结荚期和饱果期叶片取样数分别为24、30、24和30片,相对误差分别为4.13%、4.07%、0.02%和0.13%,标准均方根误差为7.494%,适宜的干重比系数分别为150.00、...
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| Published in | 节水灌溉 no. 2; pp. 88 - 104 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国农业科学院西部农业研究中心,新疆 昌吉 831100%天津农学院水利工程学院,天津 300392%新疆农业科学院经济作物研究所,乌鲁木齐 830091
10.02.2024
天津农学院水利工程学院,天津 300392 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-4929 |
| DOI | 10.12396/jsgg.2023338 |
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| Abstract | S274.1; 为探索适用于花生叶面积指数快速精准测量方法,基于田间调查实测数据,分别采用网格法、比叶重法、系数法、AutoCAD法以及扫描法等5种方法计算了花生不同生育时期的叶面积指数,并以基于扫描法的估算结果为对照,评价了基于其他4种监测方法估算结果的精度,并优化了系数法和比叶重法调查花生叶面积的关键技术指标.结果表明,比叶重法精度较高、监测速度较快、可操作性强,利用比叶重法监测花生叶面积指数,苗期、花针期、结荚期和饱果期叶片取样数分别为24、30、24和30片,相对误差分别为4.13%、4.07%、0.02%和0.13%,标准均方根误差为7.494%,适宜的干重比系数分别为150.00、143.26、187.58和157.20 cm2/g.比叶重法是适宜于花生叶面积快速精准测量的方法. |
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| AbstractList | S274.1; 为探索适用于花生叶面积指数快速精准测量方法,基于田间调查实测数据,分别采用网格法、比叶重法、系数法、AutoCAD法以及扫描法等5种方法计算了花生不同生育时期的叶面积指数,并以基于扫描法的估算结果为对照,评价了基于其他4种监测方法估算结果的精度,并优化了系数法和比叶重法调查花生叶面积的关键技术指标.结果表明,比叶重法精度较高、监测速度较快、可操作性强,利用比叶重法监测花生叶面积指数,苗期、花针期、结荚期和饱果期叶片取样数分别为24、30、24和30片,相对误差分别为4.13%、4.07%、0.02%和0.13%,标准均方根误差为7.494%,适宜的干重比系数分别为150.00、143.26、187.58和157.20 cm2/g.比叶重法是适宜于花生叶面积快速精准测量的方法. |
| Abstract_FL | To investigate efficient and precise methods for measuringleaf area index in peanut,this study employed five distinct approaches—namely,the grid method,specific leaf weight method,coefficient method,AutoCAD method and scanning method.Utilizing field survey data,the leaf area index of peanut at different reproductive periods was calculated.The accuracy of the estimation results from the four alternative monitoring methods was evaluated against the scanning method,considered as the control.Additionally,the key technical indicators for the coefficient method and specific leaf weight method for investigating peanut leaf area were also optimized.The results show that the specific leaf weight method stands out for its accuracy,expeditious monitoring capabilities,and operational efficiency.The leaf area index of peanut was monitored by specific leaf weight method.The number of leaf samples at seedling stage,flowering pegging stage,pod setting stage and pod filling stage was 24,30,24 and 30,respectively.The relative errors are 4.13%,4.07%,0.02%and 0.13%,respectively.The nRMSE was 7.494%.The suitable dry weight ratio coefficients were 150.00,143.26,187.58 and 157.20 cm2/g,respectively.The specific leaf weight method is suitable for rapid and accurate measurement of peanut leaf area. |
| Author | 李强 申孝军 陈军伟 苗昊翠 衣若晨 侯献飞 董建舒 薛铸 |
| AuthorAffiliation | 天津农学院水利工程学院,天津 300392;中国农业科学院西部农业研究中心,新疆 昌吉 831100%天津农学院水利工程学院,天津 300392%新疆农业科学院经济作物研究所,乌鲁木齐 830091 |
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| Author_FL | DONG Jian-shu YI Ruo-chen MIAO Hao-cui XUE Zhu SHEN Xiao-jun HOU Xian-fei CHEN Jun-wei LI Qiang |
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| Keywords | determination method 测定方法 peanut leaf area index leaf area coefficient 叶面积系数 比叶重法 叶面积指数 花生 specific leaf weight method |
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| Publisher | 中国农业科学院西部农业研究中心,新疆 昌吉 831100%天津农学院水利工程学院,天津 300392%新疆农业科学院经济作物研究所,乌鲁木齐 830091 天津农学院水利工程学院,天津 300392 |
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| Title | 花生叶面积指数精准快速监测方法研究 |
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