{"title":"用无损方法估算虎角桉和盐柳桉人工林叶片氮含量","authors":"J. Valverde","doi":"10.15446/rfnam.v74n3.93619","DOIUrl":null,"url":null,"abstract":"The determination of leaf nitrogen content (LNC) by indirect methods is essential for silvicultural management of forest crops. The application of photography or rapid measurement equipment, such as chlorophyll index (soil-plant analysis development-SPAD), is increasingly used due to its low-cost, ease of estimation and accuracy. Therefore, the aim of this study was to estimate foliar nitrogen content from nondestructive methods in plantations of Eucalyptus tereticornis and Eucalyptus saligna using three urea treatments (120 kg N ha-1, 240 kg N ha-1 and a control treatment without urea). For each treatment, 10 trees were selected, including four for the validation of the equations. The LNC was directly evaluated for color with the CIEL*a*b* model, photographic measurement with the RGB model, SPAD measurement and destructive estimation of nitrogen in leaves. The results showed negative relationships with the L* (luminosity) and b* (trend from yellow to green) indices, while the a* (red to green trend) index was discarded, with SPAD positive relationships were found with LNC and RGB space. In the R and B indices, the greatest negative relationships were found. It was determined that the multivariate equation Y=a+b1x1+b2x2+…+bnxn can be used for this type of study. It was also determined that the LNC=0.389+0.026SPAD model was the optimum for E. tereticornis and the LNC=3.826-0.001R-0.10B equation was the optimum for E. saligna.","PeriodicalId":37747,"journal":{"name":"Revista Facultad Nacional de Agronomia Medellin","volume":"119 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Estimation of leaf nitrogen content from nondestructive methods in Eucalyptus tereticornis and Eucalyptus saligna plantations\",\"authors\":\"J. Valverde\",\"doi\":\"10.15446/rfnam.v74n3.93619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The determination of leaf nitrogen content (LNC) by indirect methods is essential for silvicultural management of forest crops. The application of photography or rapid measurement equipment, such as chlorophyll index (soil-plant analysis development-SPAD), is increasingly used due to its low-cost, ease of estimation and accuracy. Therefore, the aim of this study was to estimate foliar nitrogen content from nondestructive methods in plantations of Eucalyptus tereticornis and Eucalyptus saligna using three urea treatments (120 kg N ha-1, 240 kg N ha-1 and a control treatment without urea). For each treatment, 10 trees were selected, including four for the validation of the equations. The LNC was directly evaluated for color with the CIEL*a*b* model, photographic measurement with the RGB model, SPAD measurement and destructive estimation of nitrogen in leaves. The results showed negative relationships with the L* (luminosity) and b* (trend from yellow to green) indices, while the a* (red to green trend) index was discarded, with SPAD positive relationships were found with LNC and RGB space. In the R and B indices, the greatest negative relationships were found. It was determined that the multivariate equation Y=a+b1x1+b2x2+…+bnxn can be used for this type of study. It was also determined that the LNC=0.389+0.026SPAD model was the optimum for E. tereticornis and the LNC=3.826-0.001R-0.10B equation was the optimum for E. saligna.\",\"PeriodicalId\":37747,\"journal\":{\"name\":\"Revista Facultad Nacional de Agronomia Medellin\",\"volume\":\"119 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Facultad Nacional de Agronomia Medellin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15446/rfnam.v74n3.93619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Facultad Nacional de Agronomia Medellin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15446/rfnam.v74n3.93619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 1
摘要
间接法测定叶片氮含量对森林作物的造林经营具有重要意义。摄影或快速测量设备,如叶绿素指数(soil-plant analysis development-SPAD),由于其成本低,易于估计和准确的应用越来越多。因此,本研究的目的是利用非破坏性方法估算三种尿素处理(120 kg N ha-1、240 kg N ha-1和不施用尿素的对照处理)下虎角桉和盐柳桉人工林叶片氮含量。每个处理选择10棵树,其中4棵用于验证方程。用CIEL*a*b*模型直接评价LNC的颜色,用RGB模型进行照相测量,用SPAD测量和叶片氮的破坏性估算。结果表明,与L*(亮度)和b*(黄向绿趋势)指数呈负相关,a*(红向绿趋势)指数被丢弃,与LNC和RGB空间呈SPAD正相关。在R和B指标中,存在最大的负相关关系。我们确定多元方程Y=a+b1x1+b2x2+…+bnxn可以用于这类研究。结果表明,拟合羊角菌的最佳模型为LNC=0.389+0.026SPAD,拟合羊角菌的最佳模型为LNC=3.826-0.001R-0.10B。
Estimation of leaf nitrogen content from nondestructive methods in Eucalyptus tereticornis and Eucalyptus saligna plantations
The determination of leaf nitrogen content (LNC) by indirect methods is essential for silvicultural management of forest crops. The application of photography or rapid measurement equipment, such as chlorophyll index (soil-plant analysis development-SPAD), is increasingly used due to its low-cost, ease of estimation and accuracy. Therefore, the aim of this study was to estimate foliar nitrogen content from nondestructive methods in plantations of Eucalyptus tereticornis and Eucalyptus saligna using three urea treatments (120 kg N ha-1, 240 kg N ha-1 and a control treatment without urea). For each treatment, 10 trees were selected, including four for the validation of the equations. The LNC was directly evaluated for color with the CIEL*a*b* model, photographic measurement with the RGB model, SPAD measurement and destructive estimation of nitrogen in leaves. The results showed negative relationships with the L* (luminosity) and b* (trend from yellow to green) indices, while the a* (red to green trend) index was discarded, with SPAD positive relationships were found with LNC and RGB space. In the R and B indices, the greatest negative relationships were found. It was determined that the multivariate equation Y=a+b1x1+b2x2+…+bnxn can be used for this type of study. It was also determined that the LNC=0.389+0.026SPAD model was the optimum for E. tereticornis and the LNC=3.826-0.001R-0.10B equation was the optimum for E. saligna.
期刊介绍:
La Revista Facultad Nacional de Agronomía Medellín (RFNA), de la Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias Agrarias, es una publicación científica editada desde el año 1939, en formato impreso y digital y de acceso abierto desde la web —sin costo para autores y lectores—. Está orientada a investigadores que crean conocimiento disciplinar y multidisciplinar que articula la ciencia y la tecnología para hacer más productivo el campo a nivel empresarial y de economía campesina. La Revista tiene como objetivo divulgar resultados de investigación mediante artículos originales, inéditos y arbitrados (peer review) de carácter científico que respondan a preguntas específicas y que proporcionen sustento y pruebas a una hipótesis, en aspectos relacionados con las Ciencias Agronómicas, Producción animal, Ciencias Forestales, Ingeniería Agrícola, de Alimentos y otras afines que contribuyan a la solución de los limitantes del agro a nivel nacional, regional e internacional. La Revista recibe y publica, sin ningún costo, artículos en idioma inglés de investigación, revisión, reseñas y cartas al editor. Desde el 2017 la periodicidad de publicación es cuatrimestral, se publican tres números al año con circulación nacional e internacional, en los siguientes períodos: Enero - Abril Mayo - Agosto Septiembre - Diciembre This journal does not charge APCs or submission charges.