Examinando por Autor "Canaza Cayo, Ali William"

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Genetic structure of the population of Suri alpaca from Peru
(ResearchersLinks Ltd, 2023-11-01) Gallegos Acero, Roberto; Canaza Cayo, Ali William; Rodríguez Huanca, Francisco Halley; Mamani Cato, Rubén Herberht
The objective of the study was to evaluate the genetic structure of the Suri alpaca population, from the Quimsachata Research and Production Center of the Illpa-Puno Experimental Station of the National Institute of Agrarian Innovation, Peru. Data from 1350 Suri alpacas born from 1993 to 2015 (636 males and 714 females) were analyzed using the method of genealogical analysis method. ENDOG program v.4.8 was used for the calculation of the following parameters of the genetic structure such as: average inbreeding coefficient (F), average relatedness coefficient (AR), the effective numbers of founders (ƒe), effective number of ancestors (ƒa), generation interval (GI) and the pedigree completeness, the ENDOG program v.4.8 was used. The F and AR were 0.06% and 0.40%, respectively, the number of ancestors that gave rise to the reference population was 288, the ƒa for the reference population was 132. The ƒe was 338 animals. The average generational interval was 5.53 years, being higher in the gametic pathways: sire-daughter and sire-son. The pedigree completeness level by the maternal pathway was 72.07% and by the paternal pathway was 46.0%. In conclusion, the generational interval in Suri alpacas of the Germplasm Center was long. The F was of small magnitude, so mating practices were appropriate during the evaluation period.
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.