scholarly journals Description of the growth of pequi fruits by nonlinear models

2018 ◽  
Vol 40 (4) ◽  
Author(s):  
Thais Destefani Ribeiro ◽  
Ricardo Wagner Pacopahyba de Mattos ◽  
Augusto Ramalho de Morais ◽  
Joel Augusto Muniz
Keyword(s):  
Least Squares Method ◽  
Nonlinear Models ◽  
Logistic Models ◽  
Fresh Mass ◽  
Initial Growth ◽  
Von Bertalanffy ◽  
Growth Data ◽  
Cross Sectional ◽  
Mass Data ◽  
Days After Anthesis

Abstract Pequi tree is a species native to the Brazilian cerrado, with wide geographic distribution, whose fruit is very appreciated in cooking, composing traditional dishes. In general, pequi fruit is consumed when ripe in the fresh form or in the various derived products such as oils, liqueurs, sweets, ice creams among others, involving important socioeconomic activity generating employment and income in family agriculture. The aim of this study was to evaluate the adjustment of Brody, Gompertz, Logistic and Von Bertalanffy models in the growth and development of pequi fruits based on their physical characteristics such as longitudinal and cross-sectional diameter and fresh mass obtained over time. Parameters were estimated using R software routines, using the least squares method and the Gauss-Newton iterative process. The adjustment of models was compared using the following criteria: residual standard deviation, adjusted determination coefficient and corrected Akaike information criterion. In general, data presented no correlation error structure and the Von Bertalanffy model did not fit fresh mass data. The models presented good quality in the adjustment to pequi growth data, except for the Brody model for fresh mass. The Gompertz and Logistic models were those that best described variables, and the Gompertz model was the most suitable to describe diameter and mass data. Based on the adjustment, a slow initial growth was observed up to about 20 days after anthesis; after this period, the fruit developed more rapidly up to 90 days and then presented a tendency to stability until the end of the evaluation period at 117 days after anthesis, with sigmoid curve character. Pequi fruits obtained final average value of 7.1 cm for cross-sectional diameter, 6.8 cm for longitudinal diameter and 113g for fresh mass.

scholarly journals The use of the nonlinear models in the growth of pears of ‘Shinseiki’ cultivar

2017 ◽  
Vol 48 (1) ◽  
Author(s):  
Thais Destefani Ribeiro ◽  
Taciana Villela Savian ◽  
Tales Jesus Fernandes ◽  
Joel Augusto Muniz
Keyword(s):  
Logistic Model ◽  
Least Squares Method ◽  
Nonlinear Models ◽  
Logistic Models ◽  
Information Criterion ◽  
Fruit Weight ◽  
Coefficient Of Determination ◽  
Pear Fruit ◽  
Asian Pear ◽  
Residual Correlations

ABSTRACT: The goal of this study was to elucidate the growth and development of the Asian pear fruit, on the grounds of length, diameter and fresh weight determined over time, using the non-linear Gompertz and Logistic models. The specifications of the models were assessed utilizing the R statistical software, via the least squares method and iterative Gauss-Newton process (DRAPER & SMITH, 2014). The residual standard deviation, adjusted coefficient of determination and the Akaike information criterion were used to compare the models. The residual correlations, observed in the data for length and diameter, were modeled using the second-order regression process to render the residuals independent. The logistic model was highly suitable in demonstrating the data, revealing the Asian pear fruit growth to be sigmoid in shape, showing remarkable development for three variables. It showed an average of up to 125 days for length and diameter and 140 days for fresh fruit weight, with values of 72mm length, 80mm diameter and 224g heavy fat.

scholarly journals Growth of Crassostrea gasar cultured in marine and estuary environments in Brazilian waters

2013 ◽  
Vol 48 (8) ◽  
pp. 975-982 ◽  
Author(s):  
Gustavo Ruschel Lopes ◽  
Carlos Henrique Araujo de Miranda Gomes ◽  
Cláudio Rudolfo Tureck ◽  
Claudio Manuel Rodrigues de Melo
Keyword(s):  
Weight Gain ◽  
Nonlinear Models ◽  
Size Class ◽  
Von Bertalanffy ◽  
Southern Brazil ◽  
Growth Data ◽  
Shell Size ◽  
Shell Weight ◽  
Data Set ◽  
Study Sites

The objective of this work was to evaluate the growth of the mangrove oyster Crassostrea gasar cultured in marine and estuarine environments. Oysters were cultured for 11 months in a longline system in two study sites - São Francisco do Sul and Florianópolis -, in the state of Santa Catarina, Southern Brazil. Water chlorophyll-α concentration, temperature, and salinity were measured weekly. The oysters were measured monthly (shell size and weight gain) to assess growth. At the end of the culture period, the average wet flesh weight, dry flesh weight, and shell weight were determined, as well as the distribution of oysters per size class. Six nonlinear models (logistic, exponential, Gompertz, Brody, Richards, and Von Bertalanffy) were adjusted to the oyster growth data set. Final mean shell sizes were higher in São Francisco do Sul than in Florianópolis. In addition, oysters cultured in São Francisco do Sul were more uniformly distributed in the four size classes than those cultured in Florianópolis. The highest average values of wet flesh weight and shell weight were observed in São Francisco do Sul, whereas dry flesh weight did not differ between the sites. The estuary environment is more promising for the cultivation of oysters.

Comparison and estimation of the growth curve models of Hanwoo steer (Bos taurus coreanae)

2018 ◽  
Author(s):  
Hu-Rak Park ◽  
Seung-Hoon Eum ◽  
Seung-Hee Roh ◽  
Jakyeom Seo ◽  
Seong-Keun Cho ◽  
...  
Keyword(s):  
Body Weight ◽  
Logistic Model ◽  
Bos Taurus ◽  
Growth Models ◽  
Logistic Models ◽  
Regression Equations ◽  
Von Bertalanffy ◽  
Growth Data ◽  
Growth Ratio ◽  
Mean Square Errors

The present study was conducted to estimate and compare the three types of growth models in Hanwoo steer (Bos aurus coreanae). The Gompertz, Von Bertalanffy, and Logistic nonlinear models were used. A total of 2,239 Hanwoo steers (Bos taurus coreanae) from 6 months to 24 months old (2003 to 2014) and 8,916 growth data from the Hanwoo improvement Center were used to estimate the growth model which included three parameters. These parameters were A, mature body weight; b, growth ratio; and k, intrinsic growth rate. Regression equations using the Gompertz, Von Bertalanffy, and Logistic models were calculated as respectively. The mean square errors (MSEs) for each model were 1945.9, 1958.7, and 1935.0, respectively. The equation using the Logistic model showed the lowest value among three models. The estimated birth weights from the Gompertz, Von Bertalanffy, and Logistic models were 50.35 kg, 36.94 kg, and 74.13 kg, respectively. Furthermore, the estimated mature weights from the Gompertz, Von Bertalanffy, and Logistic models were 919.0 kg, 1043.3 kg, and 770.0 kg, respectively. In addition, the estimated age and body weight at inflection from the Gompertz, Von Bertalanffy, and Logistic models were 349.0 days and 338.1 kg, 317.9 days and 308.2 kg, and 397.8 days and 385.0 kg, respectively. Based on the results, we concluded that the regression equation using the Logistic model was the most appropriate among the growth models for measuring data. However, further studies would be needed in order to obtain more accurate parameters using a much wider period of data from birth to shipping age.

scholarly journals Double sigmoidal models describing the growth of coffee berries

2017 ◽  
Vol 47 (8) ◽  
Author(s):  
Tales Jesus Fernandes ◽  
Adriele Aparecida Pereira ◽  
Joel Augusto Muniz
Keyword(s):  
Nonlinear Model ◽  
Growth Curve ◽  
Growth Pattern ◽  
Logistic Model ◽  
Least Squares Method ◽  
Logistic Models ◽  
Fresh Mass ◽  
R Software ◽  
Over Time ◽  
Mass Accumulation

ABSTRACT: This study aimed to verify if the growth pattern of coffee berries, considering fresh mass accumulation over time, is double sigmoid and to select the most suitable nonlinear model to describe such behavior. Data used consisted of fourteen longitudinal observations of average fresh mass of coffee berries obtained in an experiment with the cultivar Obatã IAC 1669-20. The fits provided by the Logistic and Gompertz models were compared in their single and double versions. Parameters were estimated using the least squares method using the Gauss-Newton algorithm implemented in the nls function of the R software. It can be concluded that the growth pattern of the coffee fruit, in fresh mass accumulation, is double sigmoid. The double Gompertz and double Logistic models were adequate to describe such a growth curve, with a superiority of the double Logistic model.

scholarly journals Classical nonlinear models to describe the growth curve for Murrah buffalo breed

2012 ◽  
Vol 42 (3) ◽  
pp. 520-525 ◽  
Author(s):  
Ronyere Olegário de Araújo ◽  
Cintia Righetti Marcondes ◽  
Maria Cecília Florisbal Damé ◽  
Analía del Valle Garnero ◽  
Ricardo José Gunski ◽  
...  
Keyword(s):  
Logistic Model ◽  
Nonlinear Models ◽  
Logistic Models ◽  
Growth Curves ◽  
Coefficient Of Determination ◽  
Von Bertalanffy ◽  
Average Deviation ◽  
Absolute Deviation ◽  
Murrah Buffalo ◽  
Deviation Coefficient

With the objective of to adjust nonlinear models for the growth curves for a buffaloes herd raised in floodable lands in Rio Grande do Sul state, monthly records measured from birth to two years-old of 64 males and 63 females born between 1982 and 1989 were used. The models used were: Von Bertalanffy, Brody, Gompertz and Logistic. The parameters were estimated by NLIN procedure and the criteria used to evaluate the adjustment given by the models were: asymptotic standard deviation; coefficient of determination; average absolute deviation of residues and asymptotic index. Von Bertalanffy and Brody models overestimated the male asymptotic weight (A) in 15.9 and 171.3kg, respectively, and the Gompertz and Logistic models underestimated it in 4.5 and 13.4kg, respectively. For females, the Logistic model underestimated the asymptotic weight (-2.09kg), and Gompertz, Von Bertalanffy and Brody overestimated this parameter in 8.04, 17.7, and 280.33kg, respectively. The biggest average deviation was estimated by Brody model for both sexes, characterizing the biggest index. Considering the criteria, it is recommended the Gompertz and Logistic models for adjust females and males Murrah buffaloes breed growth curves.

scholarly journals Recall of government healthy eating campaigns by consumers in five countries

2021 ◽  
pp. 1-31
Author(s):  
Samantha Goodman ◽  
Gabriela Armendariz ◽  
Adele Corkum ◽  
Laura Arellano ◽  
Alejandra Jáuregui ◽  
...  
Keyword(s):  
Healthy Eating ◽  
Fruits And Vegetables ◽  
Food Policy ◽  
Logistic Models ◽  
Population Level ◽  
Policy Study ◽  
Cross Sectional ◽  
Sugary Drinks ◽  
Income Adequacy ◽  
Low Education

ABSTRACT Objective: To examine awareness and recall of healthy eating public education campaigns in five countries. Design: Data were cross-sectional and collected as part of the 2018 International Food Policy Study. Respondents were asked whether they had seen government healthy eating campaigns in the past year; if yes (awareness), they were asked to describe the campaign. Open-ended descriptions were coded to indicate recall of specific campaigns. Logistic models regressed awareness of healthy eating campaigns on participant country, age, sex, ethnicity, education, income adequacy and BMI. Analyses were also stratified by country. Setting: Online surveys. Participants: Participants were Nielsen panelists aged ≥18 years in Australia, Canada, Mexico, UK and US (n=22,463). Results: Odds of campaign awareness were higher in Mexico (50.9%) than UK (18.2%), Australia (17.9%), US (13.0%) and Canada (10.2%) (P<0.001). Awareness was also higher in UK and Australia versus Canada and US, and US versus Canada (P<0.001). Overall, awareness was higher among males versus females and respondents with medium or high versus low education (P<0.001 for all). Similar results were found in stratified models, although no sex difference was observed in Australia or UK (P>0.05), and age was associated with campaign awareness in UK (P<0.001). Common key words in all countries included sugar/sugary drinks, fruits and vegetables, and physical activity. The top five campaigns recalled were Chécate, mídete, muévete (Mexico), PrevenIMSS (Mexico), Change4Life (UK), LiveLighter® (Australia), and Actívate, Vive Mejor (Mexico). Conclusions: In Mexico, UK and Australia, comprehensive campaigns to promote healthy lifestyles appear to have achieved broad, population-level reach.

scholarly journals Prevalence of internalizing disorders, symptoms, and traits across age using advanced nonlinear models

2021 ◽  
pp. 1-10
Author(s):  
Hanna M. van Loo ◽  
Lian Beijers ◽  
Martijn Wieling ◽  
Trynke R. de Jong ◽  
Robert A. Schoevers ◽  
...  
Keyword(s):  
Internalizing Symptoms ◽  
Nonlinear Models ◽  
Generalized Additive Models ◽  
Population Sample ◽  
Internalizing Disorders ◽  
Relative Difference ◽  
Additive Models ◽  
Point Prevalence ◽  
Cross Sectional ◽  
The Impact

Abstract Background Most epidemiological studies show a decrease of internalizing disorders at older ages, but it is unclear how the prevalence exactly changes with age, and whether there are different patterns for internalizing symptoms and traits, and for men and women. This study investigates the impact of age and sex on the point prevalence across different mood and anxiety disorders, internalizing symptoms, and neuroticism. Methods We used cross-sectional data on 146 315 subjects, aged 18–80 years, from the Lifelines Cohort Study, a Dutch general population sample. Between 2012 and 2016, five current internalizing disorders – major depression, dysthymia, generalized anxiety disorder, social phobia, and panic disorder – were assessed according to DSM-IV criteria. Depressive symptoms, anxiety symptoms, neuroticism, and negative affect (NA) were also measured. Generalized additive models were used to identify nonlinear patterns across age, and to investigate sex differences. Results The point prevalence of internalizing disorders generally increased between the ages of 18 and 30 years, stabilized between 30 and 50, and decreased after age 50. The patterns of internalizing symptoms and traits were different. NA and neuroticism gradually decreased after age 18. Women reported more internalizing disorders than men, but the relative difference remained stable across age (relative risk ~1.7). Conclusions The point prevalence of internalizing disorders was typically highest between age 30 and 50, but there were differences between the disorders, which could indicate differences in etiology. The relative gap between the sexes remained similar across age, suggesting that changes in sex hormones around the menopause do not significantly influence women's risk of internalizing disorders.

scholarly journals Cross-sectional study of the association between age-related macular degeneration and arthritis in the National Health and Nutrition Examination Survey 2005–2008

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e035805
Author(s):  
Zhuoting Zhu ◽  
Huan Liao ◽  
Sen Liu ◽  
Jian Zhang ◽  
Yifan Chen ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
National Health ◽  
Logistic Models ◽  
Cross Sectional Study ◽  
Age Related Macular Degeneration ◽  
Nutrition Examination Survey ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Age Related

ObjectiveTo explore the association between age-related macular degeneration (AMD) and arthritis in a representative sample of the US population.DesignPopulation-based, cross-sectional study.SettingThe National Health and Nutrition Examination Survey (NHANES) 2005–2008.ParticipantsA total of 4813 participants aged 40 years and older with available information on AMD and arthritis in the 2005–2008 NHANES.MethodsThe status and types of arthritis were obtained from questionnaires. Non-mydriatic fundus photographs were collected. The types of AMD were assessed using the modified Wisconsin Age-Related Maculopathy Grading Classification Scheme. The association between arthritis and AMD was evaluated using logistic regression models.ResultsAfter adjusting for covariates, participants with any or early AMD had significantly lower odds of having any type of arthritis (any AMD: OR=0.56, 95% CI: 0.36–0.86; early AMD: OR=0.55, 95% CI: 0.34–0.88) or osteoarthritis (OA) (any AMD: OR=0.43, 95% CI: 0.26–0.71; early AMD: OR=0.44, 95% CI: 0.25–0.76) compared with those without AMD. When considering AMD as the outcome, significant negative associations were also found between any arthritis or OA and any (any arthritis: OR=0.64, 95% CI: 0.43–0.94; OA: OR=0.52, 95% CI: 0.33–0.82) or early AMD (any arthritis: OR=0.61, 95% CI: 0.40–0.93; OA: OR=0.51, 95% CI: 0.31–0.86) in the multivariable logistic models. There was no significant association between different types of arthritis and late AMD.ConclusionsPeople with arthritis, especially those with OA, were less likely to have AMD compared with those without arthritis and vice versa. Further studies are needed to confirm this potential protective effect of arthritis and/or arthritis treatment on AMD and to explore the underlying mechanisms.

scholarly journals Screening for Depressive Mood During Acute Chikungunya Infection in Primary Healthcare Settings

2018 ◽  
Vol 15 (11) ◽  
pp. 2552
Author(s):  
Efrén Murillo-Zamora ◽  
Oliver Mendoza-Cano ◽  
Benjamín Trujillo-Hernández ◽  
Xóchitl Trujillo ◽  
Miguel Huerta ◽  
...  
Keyword(s):  
Logistic Models ◽  
Depressive Mood ◽  
Self Report ◽  
Chikv Infection ◽  
Multicenter Cohort Study ◽  
Cross Sectional ◽  
Healthcare Settings ◽  
Frequent Event ◽  
Patient Health ◽  
Sectional Analysis

Background: We aimed to screen for depressive mood experienced during acute chikungunya (CHIKV) infection, and to evaluate the association of several exposures with the risk of depressive symptoms. Methods: A cross-sectional analysis of a multicenter cohort study took place and data from 354 adult individuals with confirmed CHIKV infection were analyzed. Participants were recruited in primary health care settings and the Patient Health Questionnaire-2 (PHQ-2) was used. Prevalence odds ratios (OR) and 95% confidence intervals (CIs) estimated by means of logistic models were used. Results: Depressive mood (PHQ-2 score 3 or higher) was reported by 44.1% of individuals. Subjects with articular effusion (OR = 3.37, 95% CI 1.77–8.11), gastrointestinal manifestations (diarrhea, vomiting or abdominal pain, OR = 1.97, 95 CI 1.21–3.19), and higher length of severe arthralgia (reference ≤ 14 days: 15–30 days, OR = 3.38, 95% CI 1.78–6.41; ≥ 30 days, OR = 1.69, 95% CI 0.95–3.01) were more likely to self-report depressive mood. Increasing age (≥ 40 years old, OR = 0.55, 95% CI 0.31–0.95) and rash (OR = 0.54, 95% CI 0.30–0.98) were associated with a decreased risk of depressive mood. Conclusions: Depressive mood seemed to be a frequent event among analyzed individuals, and markers associated with its risk were identified.

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