1
tesis de maestría
Publicado 2017
Enlace

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Producción Animal
2
tesis doctoral
Publicado 2019
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Universidad Nacional Agraria La Molina. Escuela de Posgrado. Doctorado en Ciencia Animal
3
artículo
Publicado 2023
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The effect of including whey in the diet of rams in the fattening stage of the company SAIS Pachacutec S.A.C, located in the central mountains of Peru at an altitude of 4119 m was evaluated. In total, 120 five-month-old Corriedale male rams from the “Cabaña” (n=40), “Plantel” (n=40) and “Majada” (n=40) genetic sections were used. Rams from each section was randomly distributed into four treatment groups (n=10 per group): T1 (0%, control); T2 (15%); T3 (25%) and T4 (35% whey). The whey was added to the concentrate (bran feed). The study included 14 days of adaptation to the feed and 90 days of trial. Final weight, weight gain and carcass weight were significantly different between treatments and sections (p<0.05), being greater in T4 and in the Cabaña section (final weight: 48.7 ± 0.6 kg; weight gain: 379.4 g/day; carcass weight: 20.9 ± 1.2 kg). Carcass yield was simila...
4
artículo
Publicado 2025
Enlace

The objective of this research was to predict the live weight of Corriedale lambs using morphological measurements and machine learning algorithms. A total of 291 five-month-old lambs from the Corpacancha Production Unit of SAIS PACHACÚTEC SAC were used. These animals represented a homogeneous group in terms of age, sex, and genetics, as they belonged to the Corriedale breed and were offspring of "Category A" ewes. Morphological measurements recorded included Body Length (BL), Withers Height (WH), Thoracic Girth (TG), Rump Width (RW), Abdominal Girth (AG), Cannon Bone Length (CBL), Chest Depth (CD), and Live Weight (LW). The models evaluated were Multiple Linear Regression, Ridge Regression, Decision Trees, Random Forest, and XGBoost. The comparative analysis of the machine learning models identified ModG and Ridge as the most accurate and stable options, standing out for their low Mean...