Number of leaves for modelling the leaf area of velvet bean according to leaf dimensions

Authors

  • Alberto Cargnelutti Filho Universidade Federal de Santa Maria http://orcid.org/0000-0002-8608-9960
  • Marcos Toebe Universidade Federal de Santa Maria
  • Cláudia Burin Universidade Federal de Santa Maria
  • Ismael Mario Marcio Neu Departamento de Fitotecnia Universidade Federal de Santa Maria
  • Bruna Mendonça Alves Universidade Federal de Santa Maria

DOI:

https://doi.org/10.5965/223811711732018571

Keywords:

Stizolobium cinereum, sampling size, potency model

Abstract

In order to obtain reliable models for estimating the leaf area, it is important that parameter estimates be accurate and, for that, they must be generated based on an appropriate number of leaves. The objective of this research was to determine the number of leaves required to model the leaf area of velvet beans (Stizolobium cinereum) as determined by digital photos (Y) with regard to the width of the central leaflet limb of the leaf (x), using a potency model (Y=axb), generated through iterative process. In six periods of culture development (29, 43, 57, 73, 87 and 101 days after emergence) were collected, randomly, 790 leaves. Each leaf is composed of left, center and right leaflets. The width of the central leaflet (x) was measured and leaf area (the leaf area sum of the left, center and right leaflets) was determined through the method of digital photos (Y). The number of leaves, necessary for estimating parameters a and b of the potency model and the coefficient of determination (R2), was determined by resampling, with replacement. In the case of the velvet bean, the potency model (Ŷ=4.4019x1.8697, R2=0.9821) based on the width of the central leaflet (x) is adequate to estimate the leaf area obtained through digital photos (Y). Measuring 240 leaves is sufficient to build accurate potency models of the velvet bean leaf area determined by digital photos (Y) with regard to the width of the central leaflet limb of the leaf (x).

Downloads

Download data is not yet available.

Author Biographies

Alberto Cargnelutti Filho, Universidade Federal de Santa Maria

Possui graduação em Agronomia pela Universidade Federal de Santa Maria (1993), mestrado em Agronomia pela Universidade Federal de Santa Maria (1995) e doutorado em Agronomia pela Universidade Federal de Santa Maria (2002). Atualmente é Professor Associado I do Departamento de Fitotecnia da Universidade Federal de Santa Maria. Atua na área de Estatística Experimental, com ênfase em Técnicas Experimentais, Planejamento de Experimentos, Biometria aplicada ao Melhoramento Genética Vegetal e Amostragem, atuando principalmente nos seguintes temas: planejamento experimental, precisão experimental, modelos biométricos, amostragem, estatística aplicada, avaliação de cultivares.

Marcos Toebe, Universidade Federal de Santa Maria

Campus de Frederico Westphalen - UFSM

Cláudia Burin, Universidade Federal de Santa Maria

Doutoranda no Programa de Pós Graduação em Engenharia Florestal

Ismael Mario Marcio Neu, Departamento de Fitotecnia Universidade Federal de Santa Maria

Mestrando no no Programa de Pós Graduação em Agronomia

References

ANTUNES WC et al. 2008. Allometric models for non-destructive leaf area estimation in coffee (Coffea arabica and Coffea canephora). Annals of Applied Biology 153: 33-40.

ARGENTON J et al. 2005. Comportamento de atributos relacionados com a forma da estrutura de Latossolo Vermelho sob sistemas de preparo e plantas de cobertura. Revista Brasileira de Ciência do Solo 29: 425-435.

BLANCO FF & FOLEGATTI MV. 2005. Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Scientia Agricola 62: 305-309.

CARGNELUTTI FILHO A et al. 2012a. Estimação da área foliar de mucuna cinza por meio de método não destrutivo. Ciência Rural 42: 238-242.

CARGNELUTTI FILHO A et al. 2012b. Estimativa da área foliar de nabo forrageiro em função de dimensões foliares. Bragantia 71: 47-51.

CARGNELUTTI FILHO A et al. 2015. Number of leaves needed to model leaf area in jack bean plants using leaf dimensions. Bioscience Journal 31: 1651-1662.

DEMIRSOY H et al. 2005. Improved model for the non-destructive estimation of strawberry leaf area. Fruits 60: 69-73.

JANDEL SCIENTIFIC. 1991. User’s Manual. California. 280p.

POMPELLI MF et al. 2012. Allometric models for non-destructive leaf area estimation of Jatropha curcas. Biomass and Bioenergy 36: 77-85.

R DEVELOPMENT CORE TEAM. 2017. A language and environment for statistical computing. Disponível em: http://www.R-project.org/ Acesso em: 22 Jun. 2017.

SILVA GBF et al. 2013. Superação da profundidade de semeadura e densidades de palha para Mucuna aterrima, Mucuna deeringiana e Mucuna cinerea. Planta Daninha 31: 313-317.

STEEL RGD et al. 1997. Principles and procedures of statistics: a biometrical approach. 3.ed. New York: McGraw-Hill. 666p.

TEODORO RB et al. 2011. Aspectos agronômicos de leguminosas para adubação verde no Cerrado do Alto Vale do Jequitinhonha. Revista Brasileira de Ciência do Solo 35: 635-643.

TOEBE M et al. 2012. Modelos para a estimação da área foliar de feijão de porco por dimensões foliares. Bragantia 71: 37-41.

Published

2018-11-14

How to Cite

CARGNELUTTI FILHO, Alberto; TOEBE, Marcos; BURIN, Cláudia; NEU, Ismael Mario Marcio; ALVES, Bruna Mendonça. Number of leaves for modelling the leaf area of velvet bean according to leaf dimensions. Revista de Ciências Agroveterinárias, Lages, v. 17, n. 4, p. 571–578, 2018. DOI: 10.5965/223811711732018571. Disponível em: https://revistas.udesc.br/index.php/agroveterinaria/article/view/9960. Acesso em: 17 jul. 2024.

Issue

Section

Research Article - Science of Plants and Derived Products