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  1. AU="Júnior, Raimundo Nonato Colares Camargo"
  2. AU="Feeney, Judith A"

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  1. Article ; Online: Growth curve mixed nonlinear models in quails.

    Júnior, Raimundo Nonato Colares Camargo / de Araújo, Cláudio Vieira / de Menezes, Flávio Luiz / de Araújo, Simone Inoe / Pavan, Naiana Leticia / Rocha-Silva, Mérik / Silva, Welligton Conceição da / Felipe Marques, José Ribamar / Maciel E Silva, André Guimarães / de Menezes Chalkidis, Hipócrates / Júnior, José de Brito Lourenço

    PloS one

    2023  Volume 18, Issue 6, Page(s) e0287056

    Abstract: Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 ...

    Abstract Our aim was to evaluate the use and application of different nonlinear mixed models, as well as to compare them with approach in nonlinear fixed models, for describing the growth curve of meat-type quails according to gender. A total of 15,002 and 15,408 records of males and females were used, respectively. The body weights were regressed on age of the animals using nonlinear models (Brody; Gompertz; Logistic, Morgan-Mercer-Flodin, Richards and Von Bertalanffy). All model parameters were considered fixed, whereas parameters related to asymptotic weight and maturity rate were fitted as random effects. The Bayesian Information Criterion was used to find the model of best fit. For both genders, the model that used the Morgan-Mercer-Flodin function with the inclusion of asymptotic weight as a random effect was considered the best-fitting model because it reduced the residual variance and increased the accuracy. Based on the lower absolute growth rate and growth velocity of male quails compared to that of females, it can be inferred that males should be slaughtered later. Given the results of this study, it can contribute to the current knowledge about animal yield, specifically at the best moment to slaughter and, this sense, improv the quality genetic of the populations in time.
    MeSH term(s) Animals ; Female ; Male ; Nonlinear Dynamics ; Quail ; Bayes Theorem ; Body Weight ; Models, Biological
    Language English
    Publishing date 2023-06-09
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0287056
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Heterogeneity of variance and genetic parameters for milk production in cattle, using Bayesian inference.

    Júnior, Raimundo Nonato Colares Camargo / Fernandes, Luane da Silva / do Carmo Panetto, João Cláudio / Barbosa da Silva, Marcos Vinicius Gualberto / de Araújo, Cláudio Vieira / Maciel E Silva, André Guimarães / Felipe Marques, José Ribamar / Silva, Welligton Conceição da / de Araújo, Simone Inoe / Castro, Sâmia Rubielle Silva de / Silva, Lilian Kátia Ximenes / Castro, Simone Vieira / Júnior, José de Brito Lourenço

    PloS one

    2023  Volume 18, Issue 7, Page(s) e0288257

    Abstract: The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their ... ...

    Abstract The goal of this study was to verify the effect of heterogeneity of variance (HV) on milk production in up to 305 days of lactation (L305) of daughters of Girolando, Gir and Holstein sires, as well as in the genetic evaluation of these sires and their progenies. in Brazil. The model included contemporary groups (consisting of herd, year and calving season) as a fixed effect, cow age at calving (linear and quadratic effects) and heterozygosity (linear effect) as covariates, in addition to the random effects of direct additive genetic and environmental, permanent and residual. The first analysis consisted of the single-trait animal model, with L305 records (disregarding HV). The second considered classes of standard deviations (SD): two-trait model including low and high classes (considering HV), according to the standardized means of L305 for herd-year of calving. The low SD class was composed of herds with SD equal to or less than zero and the high class with positive SD values. Estimates of (co)variance components and breeding values were obtained separately for each scenario using Bayesian inference via Gibbs sampling. Different heritability was estimated. Higher for the high DP class in the Gir (0.20) and Holstein (0.15) breeds, not occurring the same in the Girolando breed, with a lower value among the classes for the high DP (0.10). High values of genetic correlations were also found between low and high SD classes (0.88; 0.85 and 0.79) for the Girolando, Gir and Holstein breeds, respectively. Like the order correlations (Spearman) which were also high for the three breeds analyzed (equal to or above 0.92). Thus, the presence of HV had a smaller impact for L305 and did not affect the genetic evaluation of sires.
    MeSH term(s) Female ; Animals ; Cattle/genetics ; Bayes Theorem ; Milk ; Brazil ; Cobalt ; Heterozygote
    Chemical Substances Cobalt (3G0H8C9362)
    Language English
    Publishing date 2023-07-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0288257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Mixed Models in Nonlinear Regression for Description of the Growth of Nelore Cattle

    Júnior, Raimundo Nonato Colares Camargo / Araújo, Cláudio Vieira de / Silva, Welligton Conceição da / Araújo, Simone Inoe de / Lôbo, Raysildo Barbosa / Nakabashi, Lílian Roberta Matimoto / Castro, Letícia Mendes de / Menezes, Flávio Luiz / Maciel e Silva, André Guimarães / Silva, Lílian Kátia Ximenes / Silva, Jamile Andréa Rodrigues da / Barbosa, Antônio Vinicius Correa / Marques, José Ribamar Felipe / Lourenço Júnior, José de Brito

    Animals. 2022 Dec. 27, v. 13, no. 1

    2022  

    Abstract: Body weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von ... ...

    Abstract Body weight records were used to characterize the growth curve of Nelore cattle. Body weight was regressed as a function of age, for both sexes, by using nonlinear models through the functions of Brody, Gompertz, Logistic, Richards, Meloun 1, Von Bertalanffy, and Von Bertalanffy. The quality of the model arrangements was evaluated by employing Akaike and Bayesian Schwarz information criteria. The Brody function provided the best adaptations by the evaluators and, considering the asymptotic weight and the maturation rate as random, a reduction in residual variance of 79% for males and 83% for females was obtained in relation to the models under fixed contexts. In males, the absolute and relative growth rates ranged from 0.921 to 0.261 kg/day and 2.39 to 0.08%, respectively. For the same rates, under another approach, females ranged from 0.922 to 0.198 kg/day and 2.55 to 0.06%, respectively. Males showed greater growth acceleration at the beginning of the growth trajectory, being equal to females at 397 days of age and from that age onward they presented lower estimates. The nonlinear regression model approach under the mixed-models context allows reduction of residual variance, increasing model accuracy.
    Keywords Bayesian theory ; Nellore ; body weight ; cattle ; growth curves ; regression analysis ; statistical models ; variance
    Language English
    Dates of publication 2022-1227
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani13010101
    Database NAL-Catalogue (AGRICOLA)

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