26
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Random regression models for milk, fat and protein in Colombian Buffaloes Translated title: Modelos de regresión aleatoria para leche, grasa y proteína en búfalos de Colombia

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective. Covariance functions for additive genetic and permanent environmental effects and, subsequently, genetic parameters for test-day milk (MY), fat (FY) protein (PY) yields and mozzarella cheese (MP) in buffaloes from Colombia were estimate by using Random regression models (RRM) with Legendre polynomials (LP). Materials and Methods. Test-day records of MY, FY, PY and MP from 1884 first lactations of buffalo cows from 228 sires were analyzed. The animals belonged to 14 herds in Colombia between 1995 and 2011. Ten monthly classes of days in milk were considered for test-day yields. The contemporary groups were defined as herd-year-month of milk test-day. Random additive genetic, permanent environmental and residual effects were included in the model. Fixed effects included the contemporary group, linear and quadratic effects of age at calving, and the average lactation curve of the population, which was modeled by third-order LP. Random additive genetic and permanent environmental effects were estimated by RRM using third- to- sixth-order LP. Residual variances were modeled using homogeneous and heterogeneous structures. Results. The heritabilities for MY, FY, PY and MP ranged from 0.38 to 0.05, 0.67 to 0.11, 0.50 to 0.07 and 0.50 to 0.11, respectively. Conclusions. In general, the RRM are adequate to describe the genetic variation in test-day of MY, FY, PY and MP in Colombian buffaloes.

          Translated abstract

          Objetivo. Fueron estimadas funciones de covariancia para los efectos genéticos aditivos y de ambiente permanente, y posteriormente fueron estimados los parámetros genéticos para la producción de leche en el día del control (PDC) para leche (MY), grasa (FY), proteína (PY) y producción de queso mozzarella (MP), usando modelos de regresión aleatoria (RRM) mediante Polinomios Ortogonales de Legendre (LP) en búfalos de Colombia. Materiales y Métodos. Fueron analizados 1884 registros de PDC de primeras lactancias para MY, FY, PY y MP, hijas de 228 reproductores. Los registros procedían de 14 rebaños entre 1995 y 2011. Para las PDC fueron consideradas 10 clases mensuales de días en lactancia. Los grupos contemporáneos fueron definidos como rebaño-año-mes de control. Fueron incluidos en el modelo efectos aleatorios genético aditivo, de ambiente permanente y residual. Los efectos fijos incluidos fueron grupo contemporáneo, efecto lineal y cuadrático de edad al parto, y curva promedia de la lactancia de la población, la cual fue modelada por un LP de tercera orden. Los efectos aleatorios genético aditivo y de ambiente permanente fueron estimados por RRM mediante LP de tercero a sexto orden. Las variancias residuales fueron modeladas usando estructuras homogéneas y heterogéneas. Resultados. Las heredabilidades para MY, FY, PY y MP variaron de 0.38 a 0.05, 0.67 a 0.11, 0.50 a 0.07 y 0.50 a 0.11, respectivamente. Conclusiones. En general, los RRM son adecuados para describir la variación genética para la PDC de MY, FY, PF y MP en búfalos de Colombia.

          Related collections

          Most cited references25

          • Record: found
          • Abstract: found
          • Article: not found

          Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins.

          A model that contains both fixed and random linear regressions is described for analyzing test day records of dairy cows. Estimation of the variances and covariances for this model was achieved by Bayesian methods utilizing the Gibbs sampler to generate samples from the marginal posterior distributions. A single-trait model was applied to yields of milk, fat, and protein of first lactation Holsteins. Heritabilities of 305-d lactation yields were 0.32, 0.28, and 0.28 for milk, fat, and protein, respectively. Heritabilities of daily yields were greater than for 305-d yields and varied from 0.40 to 0.59 for milk yield, 0.34 to 0.68 for fat yield, and 0.33 to 0.69 for protein yield. The highest heritabilities were within the first 10 d of lactation for all traits. Genetic correlations between daily yields were higher as the interval between tests decreased, and correlations of daily yields with 305-d yields were greatest during midlactation.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Random herd curves in a test-day model for milk, fat, and protein production of dairy cattle in The Netherlands.

            With random regression models, genetic parameters of test-day milk production records of dairy cattle can be estimated directly from the data. However, several researchers that used this method have reported unrealistically high variances at the borders of the lactation trajectory and low genetic correlations between beginning and end of lactation. Recently, it has been proposed to include herd-specific regression curves in the random regression model. The objective was to study the effect of including random herd curves on estimated genetic parameters. Genetic parameters were estimated with 2 models; both included random regressions for the additive genetic and permanent environmental effect, whereas the second model also included a random regression effect for herd x 2-yr period of calving. All random regressions were modeled with fourth-order Legendre polynomials. Bayesian techniques with Gibbs sampling were used to estimate all parameters. The data set comprised 857,255 test-day milk, fat, and protein records from lactations 1, 2, and 3 of 43,990 Holstein cows from 544 herds. Genetic variances estimated by the second model were lower in the first 100 d and at the end of the lactation, especially in lactations 2 and 3. Genetic correlations between d 50 and the end of lactation were around 0.25 higher in the second model and were consistent with studies where lactation stages are modeled as different traits. Subsequently, estimated heritabilities for persistency were up to 0.14 lower in the second model. It is suggested to include herd curves in a random regression model when estimating genetic parameters of test-day production traits in dairy cattle.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Wombat – A tool for mixed model analyses in quantitative genetics by REML.

                Bookmark

                Author and article information

                Journal
                mvz
                Revista MVZ Córdoba
                Rev.MVZ Cordoba
                Universidad de Córdoba - Facultad de Medicina Veterinaria y Zootecnia. (Córdoba, Montería, Colombia )
                0122-0268
                1909-0544
                January 2015
                : 20
                : 1
                : 4415-4426
                Affiliations
                [01] SP orgnameUniversity of São Paulo orgdiv1Faculty of Agrarian and Veterinary Sciences (FCAV) Brazil
                [02] Medellín orgnameUniversidad de Antioquia orgdiv1Facultad de Ciencias Agrarias orgdiv2Grupo de investigación GaMMA Colombia
                Article
                S0122-02682015000100004 S0122-0268(15)02000104
                e014a6fe-00df-4b58-89c8-9517f6acbf28

                This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

                History
                : June 2013
                : August 2014
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 15, Pages: 12
                Product

                SciELO Colombia

                Categories
                Originals

                zootechnics,genetics,Cattle,zootecnia,genética,bovino
                zootechnics, genetics, Cattle, zootecnia, genética, bovino

                Comments

                Comment on this article