Modelos de regressão para predição do peso da raça Canindé através de medidas morfométricas

Conrado, V.D.C.; Arandas, Janaína Kelli Gomes; Ribeiro, M. N.

doi:10.21071/az.v64i247.400

Cited by 11 publications

(6 citation statements)

References 1 publication

(1 reference statement)

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“…This would be even more important in the pre-weaning phase, when animals are highly efficient in weight gain (Urbano et al, 2017). Mathematical models thus emerge as important tools to describe the growth pattern of ruminant animals Conrado et al, 2015;J. S. Souza et al, 2019), especially when they take into account easily obtained variables, such as age.…”

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confidence: 99%

Evaluation of mathematical models to describe lamb growth during the pre-weaning phase

Gurgel¹,

Difante²,

Neto³

et al. 2021

Semina: Ciênc. Agrár.

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The aim of this study was to evaluate the use of different mathematical models to describe the growth of lambs during the pre-weaning phase and the effect of sex on their growth curve. Data from 51 lambs (26 males and 25 females) with a genetic constitution of at least 50% Santa Inês breed were used. Lamb weight was monitored during the entire pre-weaning phase (91 days) by weighing the animals weekly on a scale suitable for sheep, to draw the body-weight growth curve. The adequacy of the models was evaluated by the coefficient of determination, simultaneous F-test for parameter identity, concordance correlation coefficient, root mean square error of prediction and decomposition of the mean square error of prediction. Pairwise mean square error of prediction analysis and delta Akaike information criterion were used to compare the models in terms of accuracy and precision. The evaluation of the adequacy of the tested models showed that the data predicted by the linear, quadratic and exponential models were similar (P > 0.05) to the observed data. In contrast, the monomolecular model generated predictions that could not be accepted as true. The linear and quadratic models showed better accuracy and precision. The first-degree linear model should be preferred over the other studied models to describe growth of sheep in the preweaning phase. Males and females exhibited distinct growth patterns.

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confidence: 99%

Evaluation of mathematical models to describe lamb growth during the pre-weaning phase

Gurgel¹,

Difante²,

Neto³

et al. 2021

Semina: Ciênc. Agrár.

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“…It has been used in heifers (Oliveira et al, 2013), and goats and sheep (Conrado et al, 2015;Chay-Canul et al, 2019). Furthermore, several authors have indicated that HG is highly correlated with LW for different animal species (Yilmaz et al, 2013;Chay-Canul et al, 2019a) The authors observed that the quadratic model had the best performance, according to the adequacy assessment.…”

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confidence: 99%

Comparison of mathematical models to estimate live weight through heart girth in growing Pelibuey sheep

Canul-Solís

Portillo-Salgado²,

García-Herrera³

et al. 2022

Rev. colomb. cienc. pecu.

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“…Animal growth is evaluated using direct measuring equipment, such as livestock scales. However, due to the conditions in which traditional sheep production systems operate (4) , the direct determination of the animals' body weight often represents a challenge for producers because of the high cost of acquiring and maintaining scales (64,65,66,67) . In most cases, this causes producers to market animals based on visual scores, which leads to errors in the estimation of body weight and affects the profitability of production systems (68) .…”

Section: Prediction Of Body Weight and Carcass Traits Of Sheep Throug...mentioning

confidence: 99%

Aspectos relacionados con la importancia del uso de modelos predictivos en la producción ovina. Revisión

Gurgel

Difante

Ítavo

et al. 2022

Rev. Mex. Cienc. Pecu.

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Sheep production systems face numerous challenges, which make decision-making a process fraught with risks and uncertainties. Modelling is a helpful tool in this respect, as it allows decision-makers to evaluate the behaviour of variables and their interrelationships, in addition to using previous or related information to predict results and simulate different scenarios. The advent of prediction models has made it possible to monitor the weight of an animal and determine the best time for its sale. Additionally, it allows producers to estimate the weights of the carcass and major marketable cuts before slaughter. All this information is directly associated with the profitability and success of the production activity. Therefore, in view of the different applications of mathematical models in production systems, this literature review examines concepts in modelling studies and the importance of using prediction models in meat sheep production. Furthermore, it addresses the practical application of modelling studies in predicting dry matter intake and carcass traits of meat sheep through correlated variables.

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Modelos de regressão para predição do peso da raça Canindé através de medidas morfométricas

Cited by 11 publications

References 1 publication

Evaluation of mathematical models to describe lamb growth during the pre-weaning phase

Evaluation of mathematical models to describe lamb growth during the pre-weaning phase

Comparison of mathematical models to estimate live weight through heart girth in growing Pelibuey sheep

Aspectos relacionados con la importancia del uso de modelos predictivos en la producción ovina. Revisión

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