干旱区生态环境知识资源中心(Arid): A non-destructive method for leaflet area prediction of Spondias tuberosa Arruda: an approach to regression models

Arid

DOI	10.1590/1678-4499.20230269
	A non-destructive method for leaflet area prediction of Spondias tuberosa Arruda: an approach to regression models
	Amorim, Patrycia Elen Costa; Pereira, Dalbert de Freitas; Freire, Raires Irlenizia da Silva; de Oliveira, Agda Malany Forte; Mendonca, Vander; Ribeiro, Joao Everthon da Silva
通讯作者	Ribeiro, JED
来源期刊	BRAGANTIA
ISSN	0006-8705
EISSN	1678-4499
出版年	2024
卷号	83
英文摘要	Umbu (Spondias tuberosa Arruda, Anacardiaceae) is a fruit species native to the semi-arid region of Brazil and economically important for several regions. The objective of this study was to determine equations to estimate the leafiet area of S. tuberosa genotypes. A total of 1,000 leafiets was collected from four genotypes (250 leafiets of each genotype) of S. tuberosa. In each leafiet collected, the length, width, and leafiet area were measured, and the product between length and width was calculated. Linear, linear with intercept, power, and exponential regression models were used to fit the equations. The criteria for choosing the best equation were based on Pearson's correlation coefficients, Akaike's information criteria, Willmott's concordance indices, and root mean square error. The product-adjusted equations between length and width can be used to estimate the leafiet area of all S. tuberosa genotypes. The leafiet area of the species (pooled data) can be estimated accurately and quickly from equations obtained with the linear models without intercept (ŷ = 0.6911LW) and power (ŷ = 0.7127LW0.9888).
英文关键词	Anacardiaceae biometrics allometric equations leafiet length leafiet width
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001206182700001
WOS关键词	ALLOMETRIC MODELS
WOS类目	Agriculture, Multidisciplinary ; Geology
WOS研究方向	Agriculture ; Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/403071
推荐引用方式 GB/T 7714	Amorim, Patrycia Elen Costa,Pereira, Dalbert de Freitas,Freire, Raires Irlenizia da Silva,et al. A non-destructive method for leaflet area prediction of Spondias tuberosa Arruda: an approach to regression models[J],2024,83.
APA	Amorim, Patrycia Elen Costa,Pereira, Dalbert de Freitas,Freire, Raires Irlenizia da Silva,de Oliveira, Agda Malany Forte,Mendonca, Vander,&Ribeiro, Joao Everthon da Silva.(2024).A non-destructive method for leaflet area prediction of Spondias tuberosa Arruda: an approach to regression models.BRAGANTIA,83.
MLA	Amorim, Patrycia Elen Costa,et al."A non-destructive method for leaflet area prediction of Spondias tuberosa Arruda: an approach to regression models".BRAGANTIA 83(2024).