15
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genomic evaluation of Holstein cattle in Antioquia (Colombia): a case study Translated title: Avaliação genômica do gado Holandês de Antioquia (Colômbia): estudo de caso Translated title: Evaluación genómica de ganado Holstein en Antioquia (Colombia): estudio de caso

      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

          Background: DNA markers have been widely used in genetic evaluation throughout the last decade due to the increased reliability of breeding values (BV) they allow, mainly in young animals. Objective: to compare breeding values estimated through the conventional method (best linear unbiased predictor, BLUP) with methods that include molecular markers for milk traits in Holstein cattle in Antioquia (Colombia). Methods: predictions of breeding values were performed using three methods: BLUP, molecular best linear unbiased predictor (MBLUP), and Bayes C. The breeding values were compared using Spearman's correlation coefficient and linear regression coefficient. Results: all Spearman correlation coefficients between breeding values obtained by different methods were greater than 0.5, while linear regression coefficients ranged between -2.10 and 1.58. Conclusions: prediction of breeding values through BLUP, MBLUP and Bayes C showed different results in terms of magnitude from the estimated values. However, animal ranking according to breeding values was not significantly different.

          Translated abstract

          Antecedentes: na última década, os marcadores moleculares que identificam polimorfismos no DNA têm sido utilizados amplamente nas avaliações genéticas porque aumentam a fiabilidade dos valores genéticos (BV) estimados principalmente em animais jovens. Objetivo: comparar valores genéticos estimados pelo método convencional (melhor preditor linear não-viesado, BLUP) e métodos que incluem marcadores moleculares para algumas características leiteiras no gado holandês de Antioquia (Colômbia). Métodos: as predições dos valores genéticos foram realizadas por meio de três métodos: BLUP, melhor preditor linear não-viesado molecular (MBLUP) e Bayes C. Os valores genéticos foram comparados por meio de coeficientes de correlação de Spearman e de coeficientes de regressão linear. Resultados: os coeficientes de correlação de Spearman entre os valores genéticos obtidos pelos diferentes métodos foram maiores que 0,5. Enquanto os coeficientes de regressão linear variaram entre -2,10 e 1,96. Conclusões: a predição dos valores genéticos usando os métodos BLUP, MBLUP e Bayes C foi diferente em quanto à magnitude dos valores estimados. No entanto, o ranking ou classificação de animais por seus valores genéticos não foi alterada significativamente.

          Translated abstract

          Antecedentes: en la última década, los marcadores de DNA han sido ampliamente usados en evaluaciones genéticas porque incrementan la confiabilidad de valores genéticos principalmente en animales jóvenes. Objetivo: comparar valores genéticos (BV) estimados por el método convencional (mejor estimador lineal insesgado, BLUP) y métodos que incluyen marcadores moleculares para algunas características lecheras en ganado Holstein de Antioquia (Colombia). Métodos: la predicción de valores genéticos se realizó mediante tres métodos: BLUP, mejor predictor lineal insesgado molecular (MBLUP) y Bayes C. Los valores genéticos fueron comparados usando el coeficiente de correlación de Spearman y el coeficiente de regresión lineal. Resultados: todos los coeficientes de correlación de Spearman entre los valores genéticos obtenidos por los diferentes métodos fueron mayores de 0,5. Mientras que los coeficientes de regresión lineal oscilaron entre -2,10 y 1,96. Conclusiones: la predicción de valores genéticos empleando los métodos BLUP, MBLUP y Bayes C fue diferente en términos de la magnitud de los valores estimados. Sin embargo el ranking o clasificación de los animales por sus valores genéticos no fue alterado significativamente.

          Related collections

          Most cited references23

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

          XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance.

          Several attempts have already been made to interpret the well-established results of biometry in accordance with the Mendelian scheme of inheritance. It is here attempted to ascertain the biometrical properties of a population of a more general type than has hitherto been examined, inheritance in which follows this scheme. It is hoped that in this way it will be possible to make a more exact analysis of the causes of human variability. The great body of available statistics show us that the deviations of a human measurement from its mean follow very closely the Normal Law of Errors, and, therefore, that the variability may be uniformly measured by the standard deviation corresponding to the square root of the mean square error. When there are two independent causes of variability capable of producing in an otherwise uniform population distributions with standard deviations σ 1 and σ 2 , it is found that the distribution, when both causes act together, has a standard deviation . It is therefore desirable in analysing the causes of variability to deal with the square of the standard deviation as the measure of variability. We shall term this quantity the Variance of the normal population to which it refers, and we may now ascribe to the constituent causes fractions or percentages of the total variance which they together produce. It is desirable on the one hand that the elementary ideas at the basis of the calculus of correlations should be clearly understood, and easily expressed in ordinary language, and on the other that loose phrases about the “percentage of causation,” which obscure the essential distinction between the individual and the population, should be carefully avoided.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Application of linear models in animal breeding

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Genomic breeding value estimation using nonparametric additive regression models

              Genomic selection refers to the use of genomewide dense markers for breeding value estimation and subsequently for selection. The main challenge of genomic breeding value estimation is the estimation of many effects from a limited number of observations. Bayesian methods have been proposed to successfully cope with these challenges. As an alternative class of models, non- and semiparametric models were recently introduced. The present study investigated the ability of nonparametric additive regression models to predict genomic breeding values. The genotypes were modelled for each marker or pair of flanking markers (i.e. the predictors) separately. The nonparametric functions for the predictors were estimated simultaneously using additive model theory, applying a binomial kernel. The optimal degree of smoothing was determined by bootstrapping. A mutation-drift-balance simulation was carried out. The breeding values of the last generation (genotyped) was predicted using data from the next last generation (genotyped and phenotyped). The results show moderate to high accuracies of the predicted breeding values. A determination of predictor specific degree of smoothing increased the accuracy.
                Bookmark

                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                rccp
                Revista Colombiana de Ciencias Pecuarias
                Rev Colom Cienc Pecua
                Facultad de Ciencias Agrarias, Universidad de Antioquia (Medellín )
                0120-0690
                December 2014
                : 27
                : 4
                : 306-314
                Affiliations
                [1 ] Universidad Nacional de Colombia Colombia
                [2 ] Universidad Nacional de Colombia
                [3 ] Universidad Nacional de Colombia Colombia
                Article
                S0120-06902014000400009
                85c3a3db-1615-4515-b78a-8bab2dcd9844

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Colombia

                Self URI (journal page): http://www.scielo.org.co/scielo.php?script=sci_serial&pid=0120-0690&lng=en
                Categories
                AGRICULTURE, DAIRY & ANIMAL SCIENCE

                Animal agriculture
                genetic markers,genomic selection,breeding value,milk quality,milk traits,características do leite,marcadores genéticos,qualidade do leite,seleção genômica,valor genético,calidad de leche,características de la leche,selección genómica,valor de cría

                Comments

                Comment on this article