Sourcing for parameter estimation and study of logistic differential equation

Winkel, Brian

doi:10.1080/0020739x.2011.582178

Cited by 5 publications

(3 citation statements)

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“…Indeed, poultry farmers frequently plan to slower the early growth rate of broiler chickens to postpone the inflection point of the growth curve and to help the chicken to cope with the high metabolic pressure which they experience during the early ages (11). Furthermore, more recently there have been some attempts to develop broiler strains that grow slowly during early ages but grow more rapidly during later ages, something that is so-called compensatory growth (9,25,27).…”

Section: Discussionmentioning

confidence: 99%

“…The GCFs that are used more commonly are Gompertz, Richards, Von Bertalanffy, Brody, Logistic, Negative Exponential, Morgan -Mercer -Flodin, and recently the Hyperbolastic models (12,14,25). These GCFs have been developed to model both the unprecedented and intraspecific population dynamics and more general biological growth.…”

Section: Introductionmentioning

confidence: 99%

“…These GCFs have been developed to model both the unprecedented and intraspecific population dynamics and more general biological growth. Most predictive models are based on variations of Verhulst's classic logistic growth equation (25). The Gompertz function, which was first presented for the prediction of animal growth, is one of the best models to describe the growth patterns of birds (3,13,21).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of different mathematical functions for fitting growth curves of ascitic and healthy broiler chickens

Nematzadeh

Alijani

Hasanpur

et al. 2022

Ankara Üniversitesi Veteriner Fakültesi Dergisi

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Ascites syndrome (AS) causes major economic losses in commercial meattype chickens. The objectives of the current study were to select the best non-linear growth curve functions (GCFs) of the ascitic and healthy chickens, and to investigate the association of ascites incidence with the growth pattern. A total of 5584 body weight (BW) records belonging to 823 chickens (381 male and 442 female) from a paternal pure Arian broiler line were used. The birds were categorized into; healthy male and female, ascitic male and female.Five GCFs including Logistic, Gompertz, Lopez, Richards, and Von baretanalffy were fitted to the BW records of all groups, separately. After the estimation of growth curve parameters for all the chicks individually, the effect of sex and health status on the growth curve parameters were assessed. The results revealed that the Richards function is the best for all the groups. Comparison of the growth curves showed that the ascitic chickens reach the inflection point of the curve earlier than their healthy counterparts (P<0.05). The average growth rate of the healthy birds in the rearing period was significantly higher than that of the ascitic birds (P<0.05), thereby suggesting that there is no direct relationship between the rapid growth rate and the incidence of ascites. Therefore, genetic improvement of the used population for both rapid growth rate and reduced ascites incidence may be possible and the utilization of growth curve parameters in the selection index might be beneficial.

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