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Allometric models to estimate peanuts leaflets area by non-destructive method

Authors :
João Everthon da Silva Ribeiro
Ester dos Santos Coêlho
Pablo Henrique de Almeida Oliveira
Welder de Araújo Rangel Lopes
Elania Freire da Silva
Anna Kézia Soares de Oliveira
Lindomar Maria da Silveira
Daniel Valadão Silva
Aurélio Paes Barros Júnior
Thiago Jardelino Dias
Source :
Bragantia v.81 2022, Bragantia, Instituto Agronômico de Campinas (IAC), instacron:IAC, Bragantia, Volume: 81, Article number: e4522, Published: 09 DEC 2022
Publication Year :
2022
Publisher :
Instituto Agronômico de Campinas, 2022.

Abstract

The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.

Details

Language :
English
Database :
OpenAIRE
Journal :
Bragantia v.81 2022, Bragantia, Instituto Agronômico de Campinas (IAC), instacron:IAC, Bragantia, Volume: 81, Article number: e4522, Published: 09 DEC 2022
Accession number :
edsair.doi.dedup.....53854c2fb5803186878259a36a00cdc1