Age determination and growth in wild Petrogale lateralis pearsoni and captive Petrogale lateralis 'MacDonnell Ranges race'

2004 ◽  
Vol 52 (4) ◽  
pp. 447 ◽  
Author(s):  
Michelle Jones ◽  
David Taggart ◽  
Peter Temple-Smith
Keyword(s):  
Growth Rate ◽  
Growth Models ◽  
Age Determination ◽  
Growth Curves ◽  
Tammar Wallaby ◽  
Length Growth ◽  
Non Linear ◽  
In The Wild ◽  
Using Data ◽  
Linear Growth Model

Accurate assessment of age is important for effective captive husbandry techniques and assists in understanding developmental processes, population dynamics, reproductive strategies and seasonal breeding. Using linear and non-linear regression, this study analysed the growth rate of the head and pes length of known-age, captive-born pouch young of the black-footed rock-wallaby, Petrogale lateralis 'MacDonnell Ranges race'. Growth curves for head and pes length from the captive-born pouch young were then used to predict the age of pouch young of P. lateralis pearsoni using data collected from the field. Observations on the development of the eyes, ears and body of P.�lateralis 'MacDonnell Ranges race' were also recorded. Results showed that a non-linear growth model best described the head-length growth of captive-born pouch young (r2 = 99.5%), whereas logistic regression was the most accurate predictor of pes-length growth (r2 = 99.6%). No significant differences were found when the two growth models were applied to head and pes data from wild pouch young, suggesting that the growth models derived from captive animals can be used to accurately predict the age of pouch young in the wild. During a preliminary cross-fostering trial, we examined growth of the head and pes length in pouch young of P. lateralis 'MacDonnell Ranges race' that had been cross-fostered onto the teats of surrogate tammar wallaby (Macropus eugenii) mothers; comparisons were made to the growth rate of pouch young of the same race that had remained with their natural mothers.

A note on growth curves of rabbit lines selected on growth rate or litter size

1993 ◽  
Vol 57 (2) ◽  
pp. 332-334 ◽  
Author(s):  
A. Blasco ◽  
E. Gómez
Keyword(s):  
Growth Rate ◽  
Litter Size ◽  
Growth Curves ◽  
Live Weight ◽  
Maximum Growth ◽  
Maximum Growth Rate ◽  
Standard Errors ◽  
Adult Weight ◽  
Weight Growth ◽  
Using Data

Two synthetic lines of rabbits were used in the experiment. Line V, selected on litter size, and line R, selected on growth rate. Ninety-six animals were randomly collected from 48 litters, taking a male and a female each time. Richards and Gompertz growth curves were fitted. Sexual dimorphism appeared in the line V but not in the R. Values for b and k were similar in all curves. Maximum growth rate took place in weeks 7 to 8. A break due to weaning could be observed in weeks 4 to 5. Although there is a remarkable similarity of the values of all the parameters using data from the first 20 weeks only, the higher standard errors on adult weight would make 30 weeks the preferable time to take data for live-weight growth curves.

scholarly journals An approach for experiment evaluations for multiple harvests crops based on non-linear regression

2021 ◽  
Vol 39 (3) ◽  
pp. 250-257
Author(s):  
Alessandro Dal’Col Lúcio ◽  
Maria Inês Diel ◽  
Bruno G Sari
Keyword(s):  
Linear Regression ◽  
Growth Models ◽  
Fruit Production ◽  
Production Cycle ◽  
Total Production ◽  
Biological Processes ◽  
Production Potential ◽  
Non Linear ◽  
Using Data ◽  
The Moment

ABSTRACT Biologically based growth models can be an alternative in identifying the productive response of multiple harvest vegetables. By interpreting the estimates of the parameters of the models, it is possible to estimate the total production, the rate of fruit production, and the moment when the crop reaches its maximum production potential. Besides, by estimating confidence intervals, these responses can be compared between genotypes or between different treatments. Therefore, the purpose of this manuscript is to present a literature review, and a detailed step-by-step, to interpreting the evolution of the production cycle of vegetables with multiple harvests crops based on non-linear regression. All the requirements that must be met in this type of analysis were presented in detail based on non-linear regression, providing the necessary steps for this type of analysis in details. Demonstration is given using data from strawberry cultivation along with the associated R scripts and interpretation of analysis output in material supplemental. This approach can allow for more relevant inferences than standard means analyses through better examination and modeling of the underlying biological processes.

Perspectives on the relationship between otolith growth and the conversion of isotope activity ratios to fish ages

1995 ◽  
Vol 52 (10) ◽  
pp. 2296-2303 ◽  
Author(s):  
Daniel K. Kimura ◽  
Craig R. Kastelle
Keyword(s):  
Growth Model ◽  
Linear Growth ◽  
Age Determination ◽  
Growth Curves ◽  
Otolith Growth ◽  
Daunting Task ◽  
Activity Ratios ◽  
Linear Growth Model ◽  
Isotope Activity Ratios ◽  
The Relationship

Ageing of fish otoliths using radiometric methods is now becoming widely accepted. Using this methodology, one has the choice of extracting otolith cores or modeling otolith mass growth. Modeling otolith growth forgoes the difficult work of extracting cores, but one is left with the nearly equally daunting task of selecting and validating an otolith growth model and deriving the corresponding decay equations. We note that the mathematical aspects of this problem appear to have been satisfactorily resolved. However, problems of interpretation remain, and it is not clear whether practitioners fully appreciate the sensitivity of their results to growth model selection and interpretation. We note that the two-stage linear growth model appears to be generally misapplied in the literature. Also, we present evidence that the process of using otolith growth curves estimated from annular ring counts to validate the method of counting annular rings can constitute circular reasoning. Although tedious work, extracting otolith cores seems the most valid way to avoid some serious problems in radiometric age determination work.

Non-Linear fitting of Sigmoidal Growth Curves to predict a maximum limit to the total number of COVID-19 cases in the United States. (Preprint)

2020 ◽  
Author(s):  
Carlos Dutra Sr
Keyword(s):  
United States ◽  
Growth Models ◽  
Growth Curves ◽  
The United States ◽  
World Health ◽  
Logistic Growth ◽  
Linear Fitting ◽  
Nonlinear Fitting ◽  
Non Linear ◽  
Maximum Limit

UNSTRUCTURED In the present work is used non-linear fitting of the "Gompert" and "Logistic" growth models to the number of total COVID-19 cases from the United States as a country and individually by states. The methodology allowed us to estimate that the maximum limit for the total number of cases of COVID-19 patients such as those registered with the World Health Organization will be approximately one million and one hundred thousand cases to the United States. Up to 04/19/20 the models indicate that United States reached 70% of this maximum number of "total cases" and the United States will reach 95% of this limit by 05/14/2020. The application of the nonlinear fitting of growth curves to the individual data of each American state showed that only 25% of them did not reach, on 04/19/20, the percentage of 59% of the maximum limit of "total cases" and that 17 of the 50 states still will not have reached 95% of that limit on 05/14/20.

scholarly journals Age and growth rate estimations of the commercially fished gastropod Buccinum undatum

2018 ◽  
Vol 75 (6) ◽  
pp. 2129-2144 ◽  
Author(s):  
Philip R Hollyman ◽  
Simon R N Chenery ◽  
Melanie J Leng ◽  
Vladimir V Laptikhovsky ◽  
Charlotte N Colvin ◽  
...  
Keyword(s):  
Growth Rate ◽  
Fishery Management ◽  
Isotope Analysis ◽  
Age Determination ◽  
Growth Curves ◽  
Growth Function ◽  
Age And Growth ◽  
Growth Equation ◽  
Buccinum Undatum ◽  
The United Kingdom

Abstract Calculating age and growth rate for the commercially important whelk, Buccinum undatum in the aid of fishery management has historically been undertaken using growth rings on the organic operculum. This is difficult due to their poor readability and confusion between two different sets of growth lines present. Recent work presented the calcium carbonate statolith as an alternative for age determination of B. undatum. Here we compare the use of statoliths and opercula, comparing their readability and creating growth curves for three distinct populations across the United Kingdom. Using these data, we also test the most appropriate growth equation to model this species. Lastly, we use oxygen isotope analysis of the shells to assign accurate ages to several individuals from each site. These data were used to test the accuracy of statolith and operculum ages. Statoliths, whilst more time consuming to process have improved clarity and accuracy compared with the opercula. This improved readability has highlighted that a Gompertz growth function should be used for populations of this species, when in past studies, von Bertalanffy is often used. Statoliths are a viable improvement to opercula when assessing B. undatum in the context of fishery monitoring and management.

Growth curve analysis for treatments-by-environments interaction effects

1989 ◽  
Vol 112 (1) ◽  
pp. 9-17 ◽  
Author(s):  
R. N. Edmondson
Keyword(s):  
Growth Rate ◽  
Treatment Effects ◽  
Growth Curves ◽  
Sowing Date ◽  
Equal Treatment ◽  
Growth Curve Analysis ◽  
Tomato Crop ◽  
Stage Of Development ◽  
The Mean ◽  
Using Data

SummaryGrowth curves fitted to factorial data can be modelled using an extrinsic time variate or using the mean responses within the levels of a subset of factors. Where factors can be partitioned into a set of ‘treatment’ factors and a set of ‘environment’ factors, fitting growth curves to the mean effects of environments allows the effects of treatments to be assessed relative to a uniform background growth rate. This leads to a test of a null hypothesis of equal treatment effects in all environments, given that the mean growth rate and stage of development in all environments is equal. The approach is exemplified using data from a glasshouse tomato crop experiment testing variety, nutrient and sowing date factors. Variety and nutrient treatment effects were of direct interest but sowing dates were intended to generalize results by providing a range of growing environments. Treatment effects are analysed by modelling running cumulative yield totals by growth curves and regressing variety and nutrient growth variates on the mean growth variate within each sowing date. In the discussion the case of more than one environmental factor is considered.

A spatial–temporal approach to modeling somatic growth across inland recreational fisheries landscapes

2020 ◽  
Vol 77 (11) ◽  
pp. 1822-1835
Author(s):  
Christopher L. Cahill ◽  
Sean C. Anderson ◽  
Andrew J. Paul ◽  
Laura MacPherson ◽  
Michael G. Sullivan ◽  
...  
Keyword(s):  
Growth Rate ◽  
Relative Error ◽  
Growth Models ◽  
Somatic Growth ◽  
Simulated Data ◽  
Temporal Correlation ◽  
Predictive Performance ◽  
Absolute Relative Error ◽  
Using Data ◽  
Dependency Structures

We develop a mechanistically motivated von Bertalanffy growth model to estimate growth rate and its predictors from spatial–temporal data and compare this model’s performance with a suite of commonly used mixed-effects growth models. We test these models with simulated data and then apply them to test whether concerns that high density is causing growth suppression of walleye (Sander vitreus) in Alberta, Canada, are supported using data collected during 2000–2017. Simulation experiments demonstrated that models that failed to account for complex dependency structures often resulted in growth rate estimates that were less accurate and biased low as judged by median absolute relative error and median relative error, respectively. The magnitude of this bias depended on the parameter values used for simulation. For the case study, a spatial–temporal model was more parsimonious and had higher predictive performance relative to simpler models and did not support the slow-growing walleye hypothesis in Alberta. These findings demonstrate the importance of considering spatial–temporal correlation in analyses that rely on surveillance-style monitoring datasets, particularly when examining relationships between life-history traits and environmental characteristics.

scholarly journals Sex and Age Determination of Short- Eared Owl Nestlings

The Condor ◽  
2000 ◽  
Vol 102 (1) ◽  
pp. 216-219
Author(s):  
Beatriz E. Arroyo ◽  
Thomas DeCornulier ◽  
Vincent Bretagnolle
Keyword(s):  
Body Mass ◽  
Wing Length ◽  
Growth Parameters ◽  
Age Determination ◽  
Growth Curves ◽  
Inflexion Point ◽  
Tarsus Length ◽  
Length Growth ◽  
Asio Flammeus

Abstract We studied plumage patterns of known-sex nestling and juvenile Short-eared Owls (Asio flammeus) to develop a sexing technique for nestlings in the field. Markings on the secondaries varied according to sex, and differences were apparent from about 10–15 days of age. We also provide aging formulas based on mass for nestlings up to 15 days of age and on wing length for nestlings older than that age. Finally, we evaluate growth parameters according to sex. The asymptotes of body mass, wing length, and tarsus length growth curves were higher in females than males. The inflexion point was attained earlier by males than by females.

scholarly journals Analytical growth equations and their Genstat 5 equivalents

1999 ◽  
Vol 47 (1) ◽  
pp. 67-89
Author(s):  
M. Heinen
Keyword(s):  
Growth Rate ◽  
Relative Growth Rate ◽  
Growth Models ◽  
Single Equation ◽  
Exponential Polynomial ◽  
Relative Growth ◽  
Growth Functions ◽  
Growth Equations ◽  
Robust Parameter ◽  
Using Data

Two ways of representing some of the existing growth functions, (the exponential, the monomolecular or Mitscherlich, the logistic or autocatalytic, the Gompertz, and the Richards equations) are compared. In the first, growth is expressed in the parameters mass at time zero W0, mass at time infinity Wf, and a measure for the relative growth rate k. In the second, different parameters are used because of robust parameter optimization (e.g., by the statistical software package Genstat). The relationships between these fitted parameters and the parameters W0, Wf and k are demonstrated. The properties of these models, such as physical meaning of the parameters, properties at the point of inflection (if it exists), and the growth rate at a limit W -> 0, are examined. The second order exponential polynomial was rewritten in such a way that use was made of a proportionality constant, equal to the relative growth rate at the point of inflection. Application of the growth models is demonstrated using data for lettuce grown in a nutrient film system. Finally, it is shown that, except for the exponential polynomial, all growth equations originate from one single equation.

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