Cristian Silva Teixeira , Yame Fabres Robaina Sancler-Silva , Pedro Vital Brasil Ramos , Eula Regina Carrara , José Teodoro de Paiva , Daniele Botelho Diniz Marques , Moysés Nascimento , Ana Carolina Campana Nascimento , Tiago Toledo Bittencourt e Alves , Paulo Sávio Lopes , Fabyano Fonseca e Silva
{"title":"Mangalarga Marchador马的形态和步态特征因子分析中潜在变量的遗传参数","authors":"Cristian Silva Teixeira , Yame Fabres Robaina Sancler-Silva , Pedro Vital Brasil Ramos , Eula Regina Carrara , José Teodoro de Paiva , Daniele Botelho Diniz Marques , Moysés Nascimento , Ana Carolina Campana Nascimento , Tiago Toledo Bittencourt e Alves , Paulo Sávio Lopes , Fabyano Fonseca e Silva","doi":"10.1016/j.livsci.2025.105691","DOIUrl":null,"url":null,"abstract":"<div><div>Our aim was to assess the reduction of computational demand compared to traditional multivariate analyzes, as well as identify latent variables with biological relevance (pseudo-phenotypes) through a factor analysis for morphological and gait traits in MM horses, estimating their genetic parameters within a Bayesian framework. A total of 15 morphological and performance traits were collected from 50,172 horses: withers height, croup height, thoracic perimeter, cannon bone perimeter, head length, neck length, back and loin length, croup length, shoulder length, body length, head width, croup width, morphofunctional points, gait and total points. The dataset was provided by the Brazilian Association of Mangalarga Marchador Horse Breeders (ABCCMM). A factor analysis was performed and six latent factors that explained 73 % of the total variance of the data were extracted. From them, four factors showed biological relevance, namely: \"height\" (F1), \"gait ability\" (F2), \"robustness\" (F3), and \"head size\" (F4), and were explored in the genetic analysis. The heritability estimates for F1 and F4 were of moderate to high magnitudes (0.47 ± 0.10 and 0.39 ± 0.10 for F1 and F4, respectively). The genetic correlations ranged from zero to high magnitudes, with notable values observed between F1 and F4 (0.80 ± 0.00), F1 and F3 (0.44 ± 0.01), and F3 and F4 (0.33 ± 0.01). The factor analysis proved to be an adequate alternative for reducing the dimensionality of variables and, consequently, the computational demand in the genetic evaluation of MM horses. Moderate heritabilities indicate the possibility of effective selection of horses based on these traits. In general, the correlations suggest that the selection of factors may result in genetic gains ranging from negative to high for other factors. Therefore, two factors are recommended to be used as selection criteria in MM horse breeding programs, which could contribute to the genetic improvement of the breed.</div></div>","PeriodicalId":18152,"journal":{"name":"Livestock Science","volume":"295 ","pages":"Article 105691"},"PeriodicalIF":1.8000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic parameters for latent variables derived from factor analysis of morphological and gait traits in Mangalarga Marchador horses\",\"authors\":\"Cristian Silva Teixeira , Yame Fabres Robaina Sancler-Silva , Pedro Vital Brasil Ramos , Eula Regina Carrara , José Teodoro de Paiva , Daniele Botelho Diniz Marques , Moysés Nascimento , Ana Carolina Campana Nascimento , Tiago Toledo Bittencourt e Alves , Paulo Sávio Lopes , Fabyano Fonseca e Silva\",\"doi\":\"10.1016/j.livsci.2025.105691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Our aim was to assess the reduction of computational demand compared to traditional multivariate analyzes, as well as identify latent variables with biological relevance (pseudo-phenotypes) through a factor analysis for morphological and gait traits in MM horses, estimating their genetic parameters within a Bayesian framework. A total of 15 morphological and performance traits were collected from 50,172 horses: withers height, croup height, thoracic perimeter, cannon bone perimeter, head length, neck length, back and loin length, croup length, shoulder length, body length, head width, croup width, morphofunctional points, gait and total points. The dataset was provided by the Brazilian Association of Mangalarga Marchador Horse Breeders (ABCCMM). A factor analysis was performed and six latent factors that explained 73 % of the total variance of the data were extracted. From them, four factors showed biological relevance, namely: \\\"height\\\" (F1), \\\"gait ability\\\" (F2), \\\"robustness\\\" (F3), and \\\"head size\\\" (F4), and were explored in the genetic analysis. The heritability estimates for F1 and F4 were of moderate to high magnitudes (0.47 ± 0.10 and 0.39 ± 0.10 for F1 and F4, respectively). The genetic correlations ranged from zero to high magnitudes, with notable values observed between F1 and F4 (0.80 ± 0.00), F1 and F3 (0.44 ± 0.01), and F3 and F4 (0.33 ± 0.01). The factor analysis proved to be an adequate alternative for reducing the dimensionality of variables and, consequently, the computational demand in the genetic evaluation of MM horses. Moderate heritabilities indicate the possibility of effective selection of horses based on these traits. In general, the correlations suggest that the selection of factors may result in genetic gains ranging from negative to high for other factors. Therefore, two factors are recommended to be used as selection criteria in MM horse breeding programs, which could contribute to the genetic improvement of the breed.</div></div>\",\"PeriodicalId\":18152,\"journal\":{\"name\":\"Livestock Science\",\"volume\":\"295 \",\"pages\":\"Article 105691\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Livestock Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S187114132500054X\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Livestock Science","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187114132500054X","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Genetic parameters for latent variables derived from factor analysis of morphological and gait traits in Mangalarga Marchador horses
Our aim was to assess the reduction of computational demand compared to traditional multivariate analyzes, as well as identify latent variables with biological relevance (pseudo-phenotypes) through a factor analysis for morphological and gait traits in MM horses, estimating their genetic parameters within a Bayesian framework. A total of 15 morphological and performance traits were collected from 50,172 horses: withers height, croup height, thoracic perimeter, cannon bone perimeter, head length, neck length, back and loin length, croup length, shoulder length, body length, head width, croup width, morphofunctional points, gait and total points. The dataset was provided by the Brazilian Association of Mangalarga Marchador Horse Breeders (ABCCMM). A factor analysis was performed and six latent factors that explained 73 % of the total variance of the data were extracted. From them, four factors showed biological relevance, namely: "height" (F1), "gait ability" (F2), "robustness" (F3), and "head size" (F4), and were explored in the genetic analysis. The heritability estimates for F1 and F4 were of moderate to high magnitudes (0.47 ± 0.10 and 0.39 ± 0.10 for F1 and F4, respectively). The genetic correlations ranged from zero to high magnitudes, with notable values observed between F1 and F4 (0.80 ± 0.00), F1 and F3 (0.44 ± 0.01), and F3 and F4 (0.33 ± 0.01). The factor analysis proved to be an adequate alternative for reducing the dimensionality of variables and, consequently, the computational demand in the genetic evaluation of MM horses. Moderate heritabilities indicate the possibility of effective selection of horses based on these traits. In general, the correlations suggest that the selection of factors may result in genetic gains ranging from negative to high for other factors. Therefore, two factors are recommended to be used as selection criteria in MM horse breeding programs, which could contribute to the genetic improvement of the breed.
期刊介绍:
Livestock Science promotes the sound development of the livestock sector by publishing original, peer-reviewed research and review articles covering all aspects of this broad field. The journal welcomes submissions on the avant-garde areas of animal genetics, breeding, growth, reproduction, nutrition, physiology, and behaviour in addition to genetic resources, welfare, ethics, health, management and production systems. The high-quality content of this journal reflects the truly international nature of this broad area of research.