scholarly journals Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

2021 ◽  
Vol 8 (2) ◽  
pp. 1181-1197
Author(s):  
Justine Dushimirimana ◽  
Stanislas Muhinyuza ◽  
Joseph Nzabanita
Keyword(s):  
Growth Curve ◽  
Growth Curves ◽  
Quadratic Functions ◽  
Ratio Test ◽  
Growth Curve Model ◽  
Policy Makers ◽  
Treatment Groups ◽  
Post Harvest ◽  
Curve Model ◽  
Wilting Rate

Cut rose flowers contribute to the economy and development of the export markets for several developing countries. Despite this contribution, profitable production of rose flowers is limited by wilting which leads to lower production. This paper aims to investigate the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers using the Growth Curve Model. This method was applied to the data consisting of wilting scores on five treatment groups. The Likelihood ratio test was used to test the growth curve and the equality of the growth curves in all groups. Results revealed that the expected growth curves for all groups followed different quadratic functions. The results also revealed that the wilting rate increased with the increase of calcium concentration compared to the control. This leads to a useful model for policy-makers or further analyses.

Growth curve model for analyzing the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers

2021 ◽  
Vol 8 (1) ◽  
pp. 1547-1563
Author(s):  
Justine Dushimirimana ◽  
Stanislas Muhinyuza ◽  
Joseph Nzabanita
Keyword(s):  
Growth Curve ◽  
Growth Curves ◽  
Quadratic Functions ◽  
Ratio Test ◽  
Export Markets ◽  
Policy Makers ◽  
Treatment Groups ◽  
Post Harvest ◽  
Wilting Rate ◽  
Lower Production

Cut rose flowers contribute to the economy and development of the export markets for several developing countries. Despite this contribution, profitable production of rose flowers is limited by wilting which leads to lower production. This paper aims to investigate the effects of Calcium foliar feed on the wilting rate of post-harvest rose flowers using the Growth Curve Model.This method was applied to the data consisting of wilting scores on five treatment groups. The Likelihood ratio test was used to test the growth curve and the equality of the growth curves in all groups.Results revealed that the expected growth curves for all groups followed different quadratic functions. The results also revealed that the wilting rate increased with the increase of calcium concentration compared to the control. This leads to a useful model for policy-makers or further analyses.

scholarly journals GENERALIZED GROWTH CURVE MODEL FOR COVID-19 IN BRAZILIAN STATES

2020 ◽  
Vol 38 (2) ◽  
pp. 125
Author(s):  
Magali Teresopolis Reis AMARAL ◽  
Katiane Silva CONCEIÇÃO ◽  
Marinho Gomes de ANDRADE ◽  
Carlos Roberto PADOVANI
Keyword(s):  
Comparative Study ◽  
Growth Model ◽  
Growth Curve ◽  
Selection Criteria ◽  
Growth Curves ◽  
Growth Curve Model ◽  
Infected People ◽  
Curve Model ◽  
The One

The present paper consists of using the Chapman-Richard generalized growth model to functionally relate the number of people infected by COVID-19 with the number of days. The objective of this work is to estimate the instant that the number of infected people stops growing using the dataset of the accumulated amount of infected. For this propose, one conducted a comparative study of the performances of three models of Richard in eight Brazilian States. In the methodological context, the Gauss Newton procedure was used to estimate the parameters. In addition, selection criteria of the models were used to select the one that best fits the dataset. The methodology used allowed consistent estimates of the number of people infected by COVID-19 as a function of time and, consequently, it was possible to conclude that the projections provided by the growth curves point to a scenario of general contamination acceleration. Besides, the models predict that the epidemic is close to reaching its peak in Amazonas, Ceará, Maranhão, Pernambuco, and São Paulo States.

Problem gambling symptomatology and alcohol misuse among adolescents: A parallel-process latent growth curve model.

2017 ◽  
Vol 31 (4) ◽  
pp. 447-456 ◽  
Author(s):  
Seema Mutti-Packer ◽  
David C. Hodgins ◽  
Nady el-Guebaly ◽  
David M. Casey ◽  
Shawn R. Currie ◽  
...  
Keyword(s):  
Problem Gambling ◽  
Growth Curve ◽  
Alcohol Misuse ◽  
Parallel Process ◽  
Latent Growth Curve ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Mental health outcomes in military veterans: A latent growth curve model.

2018 ◽  
Vol 24 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Justin T. McDaniel ◽  
Kate H. Thomas ◽  
David L. Albright ◽  
Kari L. Fletcher ◽  
Margaret M. Shields
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Growth Curve ◽  
Military Veterans ◽  
Latent Growth Curve ◽  
Mental Health Outcomes ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Decreased COVID-related adaptive behavior and increased negative affect: A multivariate latent growth curve model

2021 ◽  
pp. 135910532110216
Author(s):  
Hai-Ping Liao ◽  
Xiao-Fu Pan ◽  
Xue-Qin Yin ◽  
Ya-Fei Liu ◽  
Jie-Yang Li ◽  
...  
Keyword(s):  
Negative Affect ◽  
Adaptive Behavior ◽  
Growth Curve ◽  
Initial Level ◽  
Behavioral Changes ◽  
Latent Growth Curve ◽  
Growth Curve Model ◽  
Latent Growth ◽  
Latent Growth Curve Model ◽  
Curve Model

Data from a longitudinal questionnaire investigation of three time waves were used to investigate affective and behavioral changes and their covariant relationship among Chinese general population during the COVID-19 pandemic from March to May 2020. 145 participants aging from 15 to 63 completed three waves of survey. Latent growth curve analyses found that negative affect gradually increased as the pandemic continued. A faster increase in negative affect was related to a greater decrease in adaptive behavior and faster increase in non-adaptive behavior. A higher initial level of negative affect was related to a slower increase in non-adaptive behavior.

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