TY - GEN
T1 - Sustrato óptimo entre viruta de Pino, viruta de Eucalipto y coronta de Maíz para maximizar la capacidad productiva de Hongo Ostra
AU - García, Jorge Armando
AU - Barraza-Jáuregui, Gabriela
AU - Miano, Alberto Claudio
N1 - Publisher Copyright:
© 2020 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This work aimed to optimize the production capacity of oyster mushroom (Pleurotus ostreatus), using as substrates vegetables residues: pine chips (Pinus sylvestris), eucalyptus chips (Eucalyptus globulus) and corn cob (Zea mays). For this the Simplex Centroid design (mixture design) was used, considering 10 treatments (0 - 100% of the three substrates). An ANOVA was applied to evaluate differences (p<0.05) among the treatments. As main results, pine chips increased the production capacity of oyster mushrooms and eucalyptus chips reduced it. By the desirability function of this methodology, the optimum mixture of substrates was found. This mixture should be made of 100% of pine chips, 0% of eucalyptus chips and %g of corn cob. Finally, a mathematical model was obtained (R2>0.98) which predicts the production capacity of oyster mushrooms using these three substrates.
AB - This work aimed to optimize the production capacity of oyster mushroom (Pleurotus ostreatus), using as substrates vegetables residues: pine chips (Pinus sylvestris), eucalyptus chips (Eucalyptus globulus) and corn cob (Zea mays). For this the Simplex Centroid design (mixture design) was used, considering 10 treatments (0 - 100% of the three substrates). An ANOVA was applied to evaluate differences (p<0.05) among the treatments. As main results, pine chips increased the production capacity of oyster mushrooms and eucalyptus chips reduced it. By the desirability function of this methodology, the optimum mixture of substrates was found. This mixture should be made of 100% of pine chips, 0% of eucalyptus chips and %g of corn cob. Finally, a mathematical model was obtained (R2>0.98) which predicts the production capacity of oyster mushrooms using these three substrates.
KW - Agroindustry residues
KW - Eucaliptus globulus
KW - Optimization
KW - Pinus sylvestris
KW - Pleurotus ostreatus
UR - https://www.scopus.com/pages/publications/85096790614
U2 - 10.18687/LACCEI2020.1.1.137
DO - 10.18687/LACCEI2020.1.1.137
M3 - Contribución a la conferencia
AN - SCOPUS:85096790614
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
T2 - 18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
Y2 - 27 July 2020 through 31 July 2020
ER -