TY - JOUR
T1 - Balance de energía, nitrógeno y fósforo en sistemas de ceba
bovina en pastoreo
AU - Guevara Viera, Guillermo Emilio
AU - Estévez Alfayate, Jorge Alberto
AU - Ceró Rizo, Ángel E.
AU - Carmilema Asmal, Johny Fernando
AU - Guzman Espinoza, Clelia Kathrine
AU - Soto Senra, Servando A.
AU - Nápoles Moreno, Miguel
AU - Acosta Gutiérrez, Zoe
AU - Torres Inga, Carlos Santiago
AU - Guevara Viera, Raul Victorino
PY - 2019
Y1 - 2019
N2 - Aim: The aim of this work was to estimate the efficiency of
milk production in 1 168 cases in Ecuadoran Sierra Sur Andina, with the implementation of
neural networks with multilayer perceptrons.
Materials and Methods: These cases were collected from secondary samples provided by the
Official Institute of National Statistics of Ecuador, in 2016. The variables chosen for the
model were total milk production on the previ-ous day (P), as dependent variable; and total
cattle heads (CH), total laborers in the field (E), and total surface at-tended by laborer
(S), as independent variables. The selection criteria were the existence of data from
individual cas-es, and their impact on the dependent variable.
ISSN 2224-7920
Results: The average efficiency was 8.11 %, from which the total cases detected efficiently
(> 0.70) accounted for 11 (0.9 % of the sample). Later, the cases studied were
classified into three groups, depending on the efficiency cal-culated: Group 1 (≤ 0.4
efficiency); Group 2 (> 0.4 - ≤ 0.7 efficiency); and Group 3 (> 0.7
efficiency).
Conclusion: A comparison produced several statistical differences (P < 0.01) for
variables total milk production/year on the farm, total field laborers, farm size, total
cows, total cattle heads, calvings, pregnant cows, and served cows.
AB - Aim: The aim of this work was to estimate the efficiency of
milk production in 1 168 cases in Ecuadoran Sierra Sur Andina, with the implementation of
neural networks with multilayer perceptrons.
Materials and Methods: These cases were collected from secondary samples provided by the
Official Institute of National Statistics of Ecuador, in 2016. The variables chosen for the
model were total milk production on the previ-ous day (P), as dependent variable; and total
cattle heads (CH), total laborers in the field (E), and total surface at-tended by laborer
(S), as independent variables. The selection criteria were the existence of data from
individual cas-es, and their impact on the dependent variable.
ISSN 2224-7920
Results: The average efficiency was 8.11 %, from which the total cases detected efficiently
(> 0.70) accounted for 11 (0.9 % of the sample). Later, the cases studied were
classified into three groups, depending on the efficiency cal-culated: Group 1 (≤ 0.4
efficiency); Group 2 (> 0.4 - ≤ 0.7 efficiency); and Group 3 (> 0.7
efficiency).
Conclusion: A comparison produced several statistical differences (P < 0.01) for
variables total milk production/year on the farm, total field laborers, farm size, total
cows, total cattle heads, calvings, pregnant cows, and served cows.
KW - Ganado vacuno; Engorde; Nutrientes; Reciclaje; Eficiencia
KW - Ganado vacuno; Engorde; Nutrientes; Reciclaje; Eficiencia
UR - https://dspace.ucuenca.edu.ec/items/f1afb126-77ba-4a2d-815c-8ceb763ce63b
M3 - Artículo
SN - 2224-7920
JO - Revista de Producción Animal
JF - Revista de Producción Animal
ER -