Allometric models to estimate the individual leaf area of arabica coffee: an approach from frequentist and Bayesian statistics

Mielke, Marcelo Schramm; Santos, Gabriel Oliveira; Lopes, Emile Caroline Silva; Schilling, Ana Cristina; Santos, Martielly Santana dos; Pérez-Molina, Junior Pastor

doi:10.1007/s11738-023-03514-x

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The leaf thickness insignificantly contributes to the leaf surface area, except for a succulent leaf. The use of L, W, and LW for non-destructive estimation of LA has been accepted by worldwide researchers, including in arabica coffee (Mielke et al, 2023), guava (Gonçalves, Ribeiro & Amorim, 2022), apple (Boyacı & Küçükönder, 2022), and many more.…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Model for Estimating Leaf Area and Growth of Cnidoscolus aconitifolius Cultivated Using Different Stem Diameter of the Semi Hardwood Cuttings

Gustiar¹,

Lakitan²,

Budianta³

et al. 2023

Agrivita.J.Agr.Sci

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Chaya (Cnidoscolus aconitifolius (Mill.) I.M. Johnst.) is a perennial leafy vegetable. Since the leaf blade is the most crucial component of the Chaya, it should be advantageous to estimate the leaf area non-destructively. This research aimed to (a) develop a beneficial non-destructive model for leaf area estimation, and (b) ascertain the impact of stem cutting diameter when used as planting material on chaya growth rate. The results demonstrated that utilizing the length x width (LW) of the middle lobe as the predictor and the zero intercepts linear regression LA = 1.679 LW with R2=0.947 determination coefficient was the most dependable model for Chaya plant leaf area estimation. The stem diameter, which ranged from 9.9 to 17.3 mm, had affected the shoot length, number of leaves, and canopy area between 5 and 7 weeks after planting (WAP). The variations in growth metrics diminished along with the age of plants. The diameter of the stem cutting used as planting material had no effect on the fresh weight of young edible shoot tip at 11 WAP. On Chaya plants that were cultivated with larger stem cutting diameters, the fresh leaf weight at the branch tips was heavier.

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Section: Introductionmentioning

confidence: 99%

Non-Destructive Model for Estimating Leaf Area and Growth of Cnidoscolus aconitifolius Cultivated Using Different Stem Diameter of the Semi Hardwood Cuttings

Gustiar¹,

Lakitan²,

Budianta³

et al. 2023

Agrivita.J.Agr.Sci

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Allometric models for non-destructive estimation of leaflet area of umbu-cajazeira (Spondias sp.)

Amorim,

Oliveira,

Lima

et al. 2024

Ciênc. agrotec.

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The umbu-cajazeira (Spondias sp.) is a fruit tree native to the semi-arid of Brazil, with significant environmental and agro-socioeconomic potential for the region. Determining leaflet area (LA) is essential for understanding the interactions between plant growth, physiology, nutrition, and environment. Thus, this research aims to construct allometric equations that non-destructively estimate the umbu-cajazeira (Spondias sp.) leaflet area, considering the leaflet dimensions (length and width). The leaflets were collected from mother plants of umbu-cajazeira (Spondias sp.) and individually measured for length (L), width (W), and LA using digitized images. These data were submitted for descriptive and regression analysis. The LA was estimated using, linear power, and exponential regression models based on the L and W of the leaflets. The best model and equation were chosen based on the following selection criteria: coefficient of determination, Willmott agreement index, root mean square error, and mean absolute error. The power model using LW presented the best equation ŷ = 0.76 * LW0.98 to estimate the leaflet area of umbu-cajazeira (Spondias sp.). This study provides a reliable, accurate, fast, and non-destructive approach for agronomic researchers and growers to determine the LA of the species.

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Modelo no destructivo para estimar el área foliar individual mediante parámetros alométricos en gulupa (Passiflora edulis fo. edulis)

Jaime-Guerrero

Álvarez-Herrera

Camacho-Tamayo

2023

Rev. U.D.C.A Act. & Div. Cient.

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La gulupa es uno de los frutos que ha aumentado sus exportaciones desde Colombia en los últimos 15 años, debido a sus características organolépticas. Conocer el área foliar (AF) en este cultivo es importante; sin embargo, no se conocen métodos prácticos que permitan su cálculo. El objetivo fue desarrollar modelos no destructivos para estimar el AF individual, mediante parámetros alométricos en hojas de gulupa. El AF se determinó en 100 hojas, mediante dos métodos estándar: el medidor portátil láser CI-202 y el software Easy Leaf Area (ELA). Se midió la longitud del lóbulo central (L), el lóbulo derecho (LD) e izquierdo (LI), el ancho base en los lóbulos (a) y el ancho entre las puntas terminales de los lóbulos (b) y se calculó la longitud total (Lt), como la suma de L+LD+LI. Los modelos lineales con mayor coeficiente de determinación (R2) fueron los que relacionaron las variables L*a (0,9377; 0,9756) y Lt*a (0,9430; 0,9841), para el AF, medida con el CI-202 y con el ELA respectivamente, frente al AF estimada. Se validaron R2 de 0,9336 y 0,9612, entre el área de la hoja medida en la localidad de Arcabuco y la estimada con L*a para los dos métodos empleados, mientras que para la estimación del AF con base en Lt*a, se encontraron R2 de 0,9552 y 0,9680, lo que convierte al método ELA como el más confiable para medir el AF y que la variable alométrica Lt*a permite encontrar la mejor predicción de AF individual en hojas de gulupa.

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Allometric models to estimate the individual leaf area of arabica coffee: an approach from frequentist and Bayesian statistics

Cited by 3 publications

References 32 publications

Non-Destructive Model for Estimating Leaf Area and Growth of Cnidoscolus aconitifolius Cultivated Using Different Stem Diameter of the Semi Hardwood Cuttings

Non-Destructive Model for Estimating Leaf Area and Growth of Cnidoscolus aconitifolius Cultivated Using Different Stem Diameter of the Semi Hardwood Cuttings

Allometric models for non-destructive estimation of leaflet area of umbu-cajazeira (Spondias sp.)

Modelo no destructivo para estimar el área foliar individual mediante parámetros alométricos en gulupa (Passiflora edulis fo. edulis)

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