Examinando por Materia "Body weight"

Mostrando 1 - 4 de 4

Evaluación de pesos y ganancia de peso vivo al nacimiento y a 360 días, y la producción de leche de vacunos Brown Swiss de la estación experimental INIA - Illpa
(Universidad Nacional Micaela Bastidas de Apurímac (UNAMBA), 2014-10-24) Quispe, Jesús; Belizario, Celso; Huanca Mamani, Teodosio; Maquera, Zenón
Utilizando los datos generados en el módulo de ganado bovino Brown Swiss EE INIA Illpa Puno (2003-2010), ubicado en los alrededores de la región lacustre de Puno, se ha determinado el peso y ganancia de peso, producción de leche y su evolución desde el nacimiento hasta el año de edad y curva de producción de leche. Para lograr los objetivos del estudio se ha tomado la producción de 294 vacas, y fueron analizadas por DCA. Los resultados fueron: La media global fue de 46,35 ± 7,01 PEVIN kg (P ≤ 0,05), siendo por sexos de 45,05 ± 6,76 y 47,36 ± 7,05 kg para hembras y machos, respectivamente (P ≤ 0,05) y por épocas de 47,56 ± 6,52, 45,76 ± 7,24 y 44,70 ± 7,20 kg para lluvioso, seco y transición (P ≤ 0,05). El PECO 360 días fue de 252,37 ± 27,11 kg. El GAPEVI 180 y 360 días fue de 103,68 ± 11,74 y 207,25 ± 27,61 kg, sin diferencias por campañas. La evolución mensual del peso vivo, desde el nacimiento hasta el año de edad y muestra una tendencia lineal creciente. La leche corregida a 305 días y 2 ordeños fue de 3279,75 ± 709,55 kg; y una producción diaria de 10,34 ± 1,88 kg, existiendo diferencias entre campañas (P ≤ 0,05) las vacas de cuarta lactación fueron mejores; el periodo de transición tuvo mejor comportamiento para la producción de leche (P> 0,05). La producción por lactancia cuarta lactancia fue el mejor con 3722,47 ± 583,82 kg (P ≤ 0,05) y un promedio de 11,77 ± 1,32 kg / día.
Modeling growth curve parameters in Peruvian llamas using a Bayesian approach
(Elsevier, 2025-03-20) Canaza Cayo, Ali William; Mamani Cato, Rubén Herberth; Churata Huacani, Roxana; Rodríguez Huanca, Francisco Halley; Calsin Cari, Maribel; Huacani Pacori, Ferdeynand Marcos; Cardenas Minaya, Oscar Efrain; de Sousa Bueno Filho, Júlio Sílvio
The objective of this study was to fit four nonlinear models (Brody, von Bertalanffy, Gompertz and Logistic) to realizations of llama weight, using frequentist and Bayesian approaches. Animals from both sexes and types (K'ara and Ch'accu) were observed. Data consisted of 43,332 monthly body weight records, taken from birth to 12 months of age from 3611 llamas, collected from 1998 to 2017 in the Quimsachata Experimental Station of the Instituto Nacional de Innovación Agraria (INIA) in Peru. Parameters for Non-linear models for growth curves were estimated by frequentist and Bayesian procedures. The MCMC method using the Metropolis-Hastings algorithm with noninformative prior distributions was applied in the Bayesian approach. All non-linear functions closely fitted actual body weight measurements, while the Brody function provided the best fit in both frequentist and Bayesian approaches in describing the growth data of llamas. The analysis revealed that female llamas reached higher asymptotic weights than males, and K'ara-type llamas exhibited higher asymptotic weights compared to Ch'accu-type animals. The asymptotic body weight, estimated for all data using the Brody model, was 42 kg at 12 months of age in llamas from Peru. The results of this research highlight the potential of applying nonlinear functions to model the weight-age relationship in llamas using a Bayesian approach. However, limitations include the use of historical data, which may not fully represent current growth patterns, and the reliance on non-informative priors, which could be improved with prior knowledge. Future studies should refine these aspects.
Morphometric evaluation of guinea pigs (Cavia porcellus) in Southern Peru
(Learning Gate, 2024-07-19) Quispe Condori, Dennis; Huacani Pacori, Ferdynand Marcos; Mamani Paredes, Javier; Mamani Cato, Ruben Herberht
The aim of this study was the morphometric evaluation of guinea pigs in southern Peru. The study was carried out at the Agrarian Experimental Station Illpa (AESI) of the National Institute of Agrarian Innovation (NIAI) in Puno at 3824 meters above sea level. 120 guinea pigs were used (females n = 60 and males n = 60) with an average age of 22 days. The morphometric characteristics evaluated were: body weight (BW), chest circumference (CC), abdominal perimeter (AP), neck perimeter (NP), head length (HL) and head width (HW). To evaluate the effect of sex on morphometric characteristics, a completely randomized design was used. To determine the equation that best predicts body weight, stepwise regression was used, and correlations between morphometric characteristics were obtained using Pearson's correlation. The results show that the sex factor does not significantly influence BW, CC, AP, NP, HL, and HW (p≥0.05); likewise, the equation that best predicts the body weight of the guinea pigs was: BW = -530.50 + 21.98(CC) + 12.72(AP) + 10.16(NP) + 57.23(HW), with R2 = 84%. Pearson correlations between morphometric characteristics were of high magnitude, positive, and statistically significant (p<0.001). It is concluded that in conditions of the Peruvian highlands, the sex factor does not influence the morphometric characteristics. It is also possible to predict body weight from CC, AP, NP, and HW, and the correlations were high and positive.
Selection in guinea pigs: I. Estimation of phenotypic and genetic parameters for litter size and body weight get access arrow
(American Society of Animal Science, 1983-04-01) Quijandria, B.; Chauca Francia, Lilia Janine; Robison, O. W.
Data on 202 sires, 718 dams and 3,192 progeny from a selection experiment were used to estimate phenotypic and genetic parameters for litter size and body weight in guinea pigs. Effects of sex and parity were estimated. Heritability estimates were obtained from offspring-parent regression and from intraclass correlation of paternal and maternal half-sibs. Genetic and phenotypic correlations also were estimated. Parity effects were significant only for weight traits. Sex effects were significant for weights at several ages. Significant negative linear effects of number born alive were found for birth, weaning and 13-wk weights. Heritability estimates from daughter-dam regression were .10 ± .05, .06 ± .02 and .08 ± .02 for number born, number born alive and number weaned and .12 ± .03, -.13 ± .03 and .12 ± .02 for birth, weaning and 13-wk weights, respectively. Paternal half-sib heritability estimates were .02 ± .04, .10 ± .04 and .17 ± .05 for birth, weaning and 13-wk weights. Heritability values from components for maternal half-sibs were .30 ±.30, .16 ±.31 and .15 ± .31 for number born, number born alive and number weaned, respectively. Genetic correlations among weights at different ages were .24 to 1.2 and among litter size traits were .51 to .77. Genetic correlations between litter size traits and birth and weaning weights ranged from -.61 to -.97; whereas correlations of litter size traits with 13-wk weight were .31 to .39. Genetic parameters estimated from similarity among relatives agreed very well with realized heritabilities and genetic correlations obtained from selection.