Multivariate analysis of milk yield, lactation length and calving interval in female buffaloes

Abstract

Multivariate analysis of milk yield, lactation length, and calving interval in female buffaloes ¤ Análisis multivariado de la producción de leche, duración de la lactancia y el intervalo entre partos en búfalas Análise multivariada da produção de leite, duração da lactação e intervalo de parto em búfalas

Multivariate analysis of body morphometric traits in conjunction with performance of reproduction and milk traits in crossbred progeny of Murrah × Jafarabadi buffalo (Bubalus bubalis) in North-Eastern Brazil

“…The average MP (1,656 kg/lactation) could be compared with the previous reports of 1,496 to 2,130 kg/lactation [27,[42][43][44][45][46][47][48][49]. The attributed differences might be due to genetic or environmental factors, such as management, genetic composition, and regional climate factors.…”

“…The LL average (257.20 days) could be compared to reported values from 258 to 301 days of lactation [43,44,46,48,49]. The calving interval mean was 441.10 days, while values between 361 and 451 days have been reported [27,[43][44][45]50]. In addition, the mean of FCI (489 days) could be compared with earlier report of 438 days [13].…”

“…PCA has been widely used in animal production in order to understand the relationship between several traits that are of economic interest, and to understand the contribution of each trait in each PC [13][14][15][16][17][18][19][20][22][23][24][25][26][27]57,58]. In this study, we verified that the first six PCs explained 82.14% of the total variance, and the importance of each body measurement in the composition of these six PCs were determined by the correlations between the original variables and PCs, such as their weighting coefficients ( Table 2).…”

“…This technique aims to study several traits simultaneously, which can be difficult to measure or hard for selection programs to understand, especially when there is a negative genetic correlation between them [14]. Multivariate techniques, such as principal component analysis (PCA) and canonical correlation analysis (CCA), have been widely used in animal production study [7,[12][13][14][15][16][17][19][20][21][22][23][24][25][26][27][28][29]. PCA has been used to clarify the structural relationship between different traits and to eliminate redundant traits, thus reducing the sample size of original set of variables [30,31].…”

Estimación de parámetros genéticos para caracteres de crecimiento en bovinos criollos Romosinuano

“…En ganado Romosinuano, la heredabilidad y las tendencias genéticas de los caracteres peso al nacimiento, peso al destete y peso a los 16 meses del hato del Centro de investigación Turipaná han sido estimados por medio de seis modelos animales mixtos para cada carácter, mediante el análisis univariado (4). No obstante, este análisis presenta limitaciones al no considerar posibles relaciones genéticas entre los caracteres evaluados (5). Por lo tanto, se propuso el análisis multivariado en el cual los caracteres se analizan de forma simultánea, asumiendo que los registros productivos de un mismo individuo son medidas cuya expresión es genéticamente diferente y correlacionada (4), lo cual permite describir los aspectos de la biología de los caracteres los más cerca posible a la realidad, obtener mayor precisión en los valores genéticos (6) y se considera como un método eficiente para clasificar los bovinos de acuerdo a su potencial productivo en programas de mejoramiento genético (5).…”