Non-destructive evaluation of the leaf area of garlic crop using mathematical models

Authors

  • Felipe Augusto Reis Gonçalves Universidade Federal de Viçosa
  • Marcelo de Paula Senoski Universidade Federal de Viçosa
  • Thiago Picinatti Raposo Universidade Federal de Viçosa
  • Leonardo Angelo de Aquino Universidade Federal de Viçosa
  • Maria Elisa de Sena Fernandes Universidade Federal de Viçosa

DOI:

https://doi.org/10.14393/BJ-v36n5a2020-42344

Keywords:

Allium sativum L., Alometry, Growth.

Abstract

Growth measurements such as leaf area (LA) and dry matter (DM) are important in experiments about plants population, fertilization, irrigation and others parameters of cultivation, in garlic crop. The LA and DM are commonly defined as destructive, lengthy and cause loss of plants in the experimental units. The objective of this study was to fit mathematical models using linear models that estimate the leaf area and dry matter of garlic plants - variety Ito. For that, garlic plants were collected at 30, 45, 60, 75, 90, 115 and 120 days after planting. The measurements of width (W), length (L) of leaves, LA, DM, pseudostem diameter (PD), number of leaves per plant (NL) and height (H) were determined in each time. The models were fitted to estimate the LA or DM as function of the variables W, L, L*W, PD and LA. The statistical analysis of the linear regression, coefficient of determination of the linear regression (R2), root mean square error (RMSE), modified concordance index (d1) and the BIAS index were verified to determine the most representative models. It`s possible to estimate the LA and the leaf DM of garlic plants using the variables: length, width, pseudostem diameter and height of plants.

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Published

2020-08-13

How to Cite

GONÇALVES, F.A.R., SENOSKI, M. de P., RAPOSO, T.P., AQUINO, L.A. de and FERNANDES, M.E. de S., 2020. Non-destructive evaluation of the leaf area of garlic crop using mathematical models. Bioscience Journal [online], vol. 36, no. 5, pp. 1600–1606. [Accessed30 November 2022]. DOI 10.14393/BJ-v36n5a2020-42344. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/42344.

Issue

Section

Agricultural Sciences