Non-destructive method for estimating chrysanthemum leaf area

T. I. Silva, J. Ribeiro, M. G. Dias, R. R. P. Cruz, L. Macêdo, J. S. Nóbrega, G. N. Sales, E. P. D. Santos, F. Costa, J. Grossi
{"title":"Non-destructive method for estimating chrysanthemum leaf area","authors":"T. I. Silva, J. Ribeiro, M. G. Dias, R. R. P. Cruz, L. Macêdo, J. S. Nóbrega, G. N. Sales, E. P. D. Santos, F. Costa, J. Grossi","doi":"10.1590/1807-1929/agriambi.v27n12p934-940","DOIUrl":null,"url":null,"abstract":"ABSTRACT Chrysanthemum (Dendranthema grandiflora) is the second most produced and commercialized ornamental plant in the world. Measuring leaf area through non-destructive methods is fundamental for studies on its growth and production. The estimation of leaf area by linear dimensions of the leaves can be a strategy for this purpose. The objective of this study was to find allometric equations to estimate the leaf area of chrysanthemum. The linear, linear without intercept, quadratic, cubic, power, and exponential regression models were used for the analysis. The choice of equations was based on the highest coefficients of determination. The non-destructive method using allometric models has accuracy for estimating the leaf area (LA) of chrysanthemum from the product between leaf length (L) and leaf width (W). The LA of chrysanthemum can be estimated using the equation ŷ = 0.6611*LW0.9490 (L - leaf length; W - leaf width). This equation will allow researchers and producers to determine leaf area non-destructively.","PeriodicalId":21302,"journal":{"name":"Revista Brasileira de Engenharia Agrícola e Ambiental","volume":"78 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Brasileira de Engenharia Agrícola e Ambiental","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/1807-1929/agriambi.v27n12p934-940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

ABSTRACT Chrysanthemum (Dendranthema grandiflora) is the second most produced and commercialized ornamental plant in the world. Measuring leaf area through non-destructive methods is fundamental for studies on its growth and production. The estimation of leaf area by linear dimensions of the leaves can be a strategy for this purpose. The objective of this study was to find allometric equations to estimate the leaf area of chrysanthemum. The linear, linear without intercept, quadratic, cubic, power, and exponential regression models were used for the analysis. The choice of equations was based on the highest coefficients of determination. The non-destructive method using allometric models has accuracy for estimating the leaf area (LA) of chrysanthemum from the product between leaf length (L) and leaf width (W). The LA of chrysanthemum can be estimated using the equation ŷ = 0.6611*LW0.9490 (L - leaf length; W - leaf width). This equation will allow researchers and producers to determine leaf area non-destructively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
菊花叶面积的无损估算方法
菊花(Dendranthema grandflora)是世界上产量和商业化程度第二高的观赏植物。通过非破坏性方法测量叶面积是研究其生长和生产的基础。通过叶片的线性尺寸来估计叶面积可能是实现这一目的的一种策略。本研究的目的是建立估算菊花叶面积的异速生长方程。采用线性、无截距线性、二次、三次、幂和指数回归模型进行分析。方程的选择以最高的决定系数为基础。利用异速生长模型对菊花叶面积进行无损估算的方法,由叶长(L)与叶宽(W)的乘积可以准确地估算出菊花叶面积。W -叶宽)。这个公式将允许研究人员和生产者非破坏性地确定叶面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Relationships between yellow and purple passion fruit variables Heavy rainfall events in the state of Acre, western Amazonia New organic substrates for seedling production in the transition zone between the Amazon-Cerrado biomes Curly lettuce production using cassava wastewater as a potassium source Photosynthetic pigments, growth, and production of cherry tomato under salt stress and hydrogen peroxide
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1