Comparison of polynomial and nonlinear models on description of pepper growth

Jane, Sérgio Alberto; Fernandes, Felipe Augusto; Silva, Edilson Marcelino; Muniz, Joel Augusto; Fernandes, Tales Jesus

doi:10.5039/agraria.v14i4a7180

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…is the coefficient of determination, with SSE being the sum of squares of errors, SST being the sum of squares of the total 2005;FERNANDES et al, 2015;SILVEIRA et al, 2018;RIBEIRO et al, 2018b;JANE, et al, 2019;SILVA et al, 2019c;SILVA et al, 2019d). Parameters were estimated using the generalized least squares method, implemented in the gnls function, from the nlme package (PINHEIRO et al, 2015), in R software (R DEVELOPMENT CORE TEAM, 2015).…”

Section: Methodsmentioning

confidence: 99%

Comparison of nonlinear models in the description of carbon mineralization in litter soil

Silva

Frühauf

Jane³

et al. 2021

R. Agrogeoambiental

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Litter is an important source of nutrients for trees and can improve the quality of degraded soils. The objective of this study was to describe the dynamics of carbon mineralization in litter soils using nonlinear models, estimating half-life times. Soil carbon mineralization under three types of forest cover was evaluated: Atlantic forest fragment (capoeira), Acacia auriculiformis trees (acacia), and Mimosa caesalpiniifolia (sabiá) from a reforested area with a history of degradation. Twelve measurements of the mineralized carbon were made up to 222 days after the beginning of the incubation of litter soils. Stanford and Smith, Juma, and Cabrera models were fitted by the least squares method using the Gauss-Newton algorithm in the R software. The Stanford and Smith model was more appropriate in describing all treatments, based on the Akaike Information Criterion, with estimates of half-life for Acácia, Capoeira, and Sabiá soils at 25, 44, and 51 days, respectively. The Stanford and Smith and Juma nonlinear models satisfactorily described the carbon mineralization of soils of all treatments.

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Section: Methodsmentioning

confidence: 99%

Comparison of nonlinear models in the description of carbon mineralization in litter soil

Silva

Frühauf

Jane³

et al. 2021

R. Agrogeoambiental

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“…These results showed that the Jatropha hybrids grew rapidly between the ages of 12 mth and 18 mth, then grew very slowly between the ages of 18 mth and 24 mth. Jatropha growth can be described by a nonlinear model, as do other plants, such as sugarcane, pepper and cocoa (Muniz et al, 2017;Jane et al, 2019Jane et al, , 2020. Miranda et al (2021) described the Jatropha growth pattern as sigmoidal.…”

Section: Effect Of Harvest Age On Growth Traits Of Jatropha Hybridsmentioning

confidence: 99%

Biomass yield stability of interspecific Jatropha hybrids through multiple harvest rotations with varying harvest ages

2022

ANRES

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Importance of the work:The consistency of biomass production is crucial for Jatropha cultivation as a short rotation woody crop for use as a biomass source. Objectives: To investigate the effect of harvest age on Jatropha hybrid growth, assess the relationship between growth traits and biomass yield and evaluate the biomass yield stability of interspecific hybrids between Jatropha curcas and J. integerrima. Materials & Methods: For 5 yr, 14 genotypes of Jatropha hybrids, were evaluated in the field, using three different harvest age rotations. Plant height, canopy width, stem and branch diameter and biomass yield were measured. Results: Harvest ages and genotypes affected Jatropha hybrid growth traits. Jatropha hybrids grew larger with age. Plant height, canopy width and stem and branch diameter were all highly correlated with biomass yield (correlation coefficient range = 0.59 [p < 0.05] to 0.94 [p < 0.01]). At the first, second, third, fourth and fifth harvests at 12 mth intervals, the Jatropha hybrids had average biomass yields of 45.91 t/ha, 40.63 t/ha, 36.46 t/ha, 42.77 t/ha and 37.29 t/ha, respectively. Although harvest frequency affected biomass yield, the yield did not substantially decrease, suggesting pruning tolerance of the Jatropha hybrids. The optimal harvest age rotations for Jatropha hybrids were intervals of 12 mth and 18 mth, due to the highest five-yearly total biomass yields of 202.79 t/ha and 221.29 t/ha, respectively. Furthermore, the KUBJL 14 genotype had the highest growth and biomass production. Main finding: The growth traits of the Jatropha hybrids could be used to assess biomass production. Jatropha hybrids have a high biomass potential and good biomass yield stability, even after multiple harvests.

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“…In order to estimate the model parameters, the least squares method was applied. The Gauss-Newton convergence algorithm was used as an iterative method and the significance of the parameters verified by the Student t test, with v = np degrees of freedom, with n as the number of observations and p the number of model parameters, seen in Ribeiro et al (2018b) and Jane et al (2019).…”

Section: /8mentioning

confidence: 99%

Nonlinear models in the study of the cedar diametric growth in a seasonally dry tropical forest

Frühauf

Barbosa

Fernandes

et al. 2020

Agraria

Self Cite

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The continuous decrease of forest cover in Brazil and the growing environmental pressure on forest-originate products increase the concern with the protection of the native forests remnants and endangered species such as the cedar (Cedrela fissilis Vell.), which has great economic prominence in the country due to the its excellent wood quality. Therefore, studying in detail its growth as a basis for its sustainable management in the forests is necessary. Based on the knowledge that nonlinear models are traditionally well fit for biological processes, this study aimed to compare the performance of the Brody, Gompertz, Logistic and von Bertalanffy models in reconstructing the cedar diametric growth. To that end, we used data from the mean diameter at breast height accumulated over time, obtained from non-destructive samples of 85 trees in an environmental preservation area. The models were fit using the R software considering the autoregressive error structure as of first order. All models demonstrated a good fit, although the Brody model was the best to describe the diametric growth of cedar over time in the studied region.

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Comparison of polynomial and nonlinear models on description of pepper growth

Cited by 7 publications

References 15 publications

Comparison of nonlinear models in the description of carbon mineralization in litter soil

Comparison of nonlinear models in the description of carbon mineralization in litter soil

Biomass yield stability of interspecific Jatropha hybrids through multiple harvest rotations with varying harvest ages

Nonlinear models in the study of the cedar diametric growth in a seasonally dry tropical forest

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