Nonlinear models to describe height and diameter of sugarcane RB92579 variety

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

doi:10.5935/1806-6690.20200062

Cited by 9 publications

(6 citation statements)

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“…With another extremely important aspect and corroborating adjustment quality evaluators, the Logistic model can be considered the most suitable to describe the relationship proposed in this work, and this model was also chosen as the most adequate in the works of Prado, Savian and Muniz (2013), Prado et al (2020), Muianga et al (2016), Jane et al (2020a) and Jane et al (2020b). Table 4 shows the estimates and confidence intervals for parameters of the external longitudinal diameter of harvested fruits (LED) and external longitudinal diameter of fruits kept on plants (LEDKP) and the critical points of the four derivatives of the Logistic model.…”

Section: Featurementioning

confidence: 99%

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Evaluation of the critical points of the most adequate nonlinear model in adjusting growth data of ‘green dwarf’ coconut fruits

et al. 2021

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‘Green Dwarf’ coconut is a fruit of great economic interest, since all its components are used, in addition to water, its main component. It is a culture of humid tropics, widely produced in northeastern Brazil, being an important income source for the region. The phenology study of this type of fruit is extremely important, but there are few studies in literature. Regression models, especially nonlinear growth models, can be of great value to understand how fruit growth behaves. The scarcity of works of this nature may be linked to some difficulties in estimating parameters of nonlinear models, such as assigning initial values to the itterative process. Overcoming this difficulty, for regression analysis, linear or not, several steps need to be respected to ensure the validity of information. Much information can be extracted from nonlinear growth models, such as the asynotic value, growth rate and critical points (maximum acceleration point, inflection point, maximum deceleration point and asynotic deceleration point). The aim of this work was to describe the stages of nonlinear regression analysis and to estimate the critical points of ‘Green Dwarf ’ coconut growth curves. After initial adjustments, the only unmet assumption was independence, adding a first order autoregressive term. Again, models were adjusted and all parameters were significant, with both models, Gompertz and Logistic, adjusting well to data, with slight advantage for the Logistic model with better adjustment quality criteria values, with maximum expected LED and LEDKP values of 21.4037 cm and 21.5478 cm, respectively. The x and y axis of critical points were estimated, with values that can help producers to make more objective decisions about the appropriate time to harvest coconut fruits, considering the most diverse uses of this type of fruit.

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Section: Featurementioning

confidence: 99%

“…Several authors have used these steps to study fruit growth (MUIANGA et al, 2016;FERNANDES et al, 2017;MUNIZ, J. A. et al, 2017;DIEL et al, 2019;JANE et al 2019, RIBEIRO et al, 2018a, RIBEIRO et al , 2018b, SARI et al, 2019b, SILVA et al 2020JANE et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the critical points of the most adequate nonlinear model in adjusting growth data of ‘green dwarf’ coconut fruits

et al. 2021

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“…Pulrolnik (2019) stresses that at the beginning of organic waste decomposition in soil, the amount of mineralized carbon is higher due to the presence of easily degradable substance fractions, and then this amount reduces, as more resistant carbon fractions are mineralized. This process has been described by nonlinear regression models, since they provide adequate adjustments (PAULA et al, 2019;SILVA et al, 2019a,b) and their parameters allow practical interpretation (MIRANDA et al, 2021;JANE et al, 2020a;SILVA et al, 2020c;SILVA et al, 2021a). Paula et al (2019) and Manzoni and Porporato (2007) highlight the importance of studying carbon mineralization curves and knowing the statistical model that describes the processes as a function of time, considering the need to understand the dynamics of organic waste decomposition, which can help in the soil management practices more favorable to agricultural crop production.…”

Section: Nonlinear Modeling Of Carbon Dynamics In Soil Treated With T...mentioning

confidence: 99%

Nonlinear modeling of carbon dynamics in soil treated with tannery sludge

Leoncio da Silva,

Silva,

Campos Frühauf

et al. 2023

R. Agrogeoambiental

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In 2020, the Brazilian commercial cattle herd was the largest in the world, representing 14.3% of the worldwide herd, with201.7 million heads. Although this activity yields significant profits, contributing to the economic and social development ofBrazil, it has been the target of concerns, mainly due to the large production of waste/effluents associated to bovine leatherprocessing. In this scenario, mineralization is important because nutrients essential for plant growth are released duringthe process of organic waste decomposition, and the dynamics of carbon release can be described by nonlinear regressionmodels. Thus, this study aimed to model the mineralization of organic carbon in the soil for 6, 12, 24, and 36 megagramsdoses per hectare (Mg ha−1) of tannery sludge using the Stanford & Smith, Cabrera, and Juma nonlinear models. Very clayeysoil samples were used: eutroferric red nitosol (NVef). Mineralized carbon was measured in 21 observations over time untilthe 105th day of incubation. Parameters were estimated using the least squares method. Adjustments were compared usingthe corrected Akaike information criterion (AICc) and the adjusted coefficient of determination (R2aj) as selection criteria. The Cabrera model had the best adjustments for doses 6, 12, and 24 Mg ha−1 and Juma for dose 36 Mg ha−1, based on the selection criteria used. Although the Stanford & Smith model is the most widely used in the literature to model soil carbon dynamics, its use was not the most appropriate for any of the doses evaluated in this study. The higher the dose of tannerysludge, the greater the amount of potentially mineralizable carbon.

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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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Nonlinear models to describe height and diameter of sugarcane RB92579 variety

Cited by 9 publications

References 0 publications

Evaluation of the critical points of the most adequate nonlinear model in adjusting growth data of ‘green dwarf’ coconut fruits

Evaluation of the critical points of the most adequate nonlinear model in adjusting growth data of ‘green dwarf’ coconut fruits

Nonlinear modeling of carbon dynamics in soil treated with tannery sludge

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

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