Identification of the determining factors in milk production in the province of Pastaza

In order to classify and typify dairy farms in Pastaza - Ecuador was used the Model Statistical Measurement Impact (MEMI). free factors were determined: the "Herd and production" explains 38.7% of the variance of the system, defined by the variables: number of cows, females for breeding, mi...

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المؤلف الرئيسي: Segura Chávez, Edison Oliver (author)
مؤلفون آخرون: Coronel Espinoza, Billy Daniel (author), Heredia Rengifo, Marco Gerardo (author), Landines Vera, Edgar (author), Muñoz Rengifo, Julio Cesar (author)
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اللغة:spa
منشور في: 2017
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الوصول للمادة أونلاين:https://revistas.uea.edu.ec/index.php/racyt/article/view/73
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author Segura Chávez, Edison Oliver
author2 Coronel Espinoza, Billy Daniel
Heredia Rengifo, Marco Gerardo
Landines Vera, Edgar
Muñoz Rengifo, Julio Cesar
author2_role author
author
author
author
author_facet Segura Chávez, Edison Oliver
Coronel Espinoza, Billy Daniel
Heredia Rengifo, Marco Gerardo
Landines Vera, Edgar
Muñoz Rengifo, Julio Cesar
author_role author
collection Revista Amazónica. Ciencia y Tecnología
dc.creator.none.fl_str_mv Segura Chávez, Edison Oliver
Coronel Espinoza, Billy Daniel
Heredia Rengifo, Marco Gerardo
Landines Vera, Edgar
Muñoz Rengifo, Julio Cesar
dc.date.none.fl_str_mv 2017-04-27
dc.format.none.fl_str_mv application/pdf
text/html
dc.identifier.none.fl_str_mv https://revistas.uea.edu.ec/index.php/racyt/article/view/73
10.59410/RACYT-v06n01ep03-0073
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Estatal Amazónica
dc.relation.none.fl_str_mv https://revistas.uea.edu.ec/index.php/racyt/article/view/73/77
https://revistas.uea.edu.ec/index.php/racyt/article/view/73/237
dc.rights.none.fl_str_mv Derechos de autor 2017 Revista Amazónica. Ciencia y Tecnología
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv Revista Amazónica. Ciencia y Tecnología; Vol. 6 No. 1 (2017): Revista Amazónica Ciencia y Tecnología ; 21-34
Revista Amazónica. Ciencia y Tecnología; Vol. 6 Núm. 1 (2017): Revista Amazónica Ciencia y Tecnología ; 21-34
1390-8049
1390-5600
reponame:Revista Amazónica. Ciencia y Tecnología
instname:Universidad Estatal Amazónica
instacron:UEA
dc.subject.none.fl_str_mv Producción lechera
impactos
clasificación
tipificación
modelo estadístico
milk production
impacts
classification
typing
statistical model
dc.title.none.fl_str_mv Identification of the determining factors in milk production in the province of Pastaza
Identificación de los factores determinantes en la producción lechera en la provincia de Pastaza
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description In order to classify and typify dairy farms in Pastaza - Ecuador was used the Model Statistical Measurement Impact (MEMI). free factors were determined: the "Herd and production" explains 38.7% of the variance of the system, defined by the variables: number of cows, females for breeding, milking cows and milk production. In the "Edaphoclimatic situation" 27.8% of the variance and 66.5% accumulated by the adjusted model is relates to: slope, area compatible with the grazing, gullies and soil depth. And the "Exploitation size” exposes the 78.7% of the cumulative variance. The impact index contributed for determine the behavior and the main problems affecting the development of the farms. To 50% of the Euclidean distance in the dendrogram conform four groups: First: In 47 farms of 45 hectares located at 16% slope, with a 22 cm soil depth and fewer gullies 32.5 ha-1, 86.4% is compatible with grazing, produce 22.3 thousand liters (ML) of milk. Second: 26 farms located in areas with steeper slope 47%, with smaller areas in livestock use, 12.5 females for breeding and consequently lower production of milk 16.8 ML of milk. These have the least depth of floor 15.3 cm and 104.2 gullies (ha-1); have high negative impact caused by erosion. Third 9 farms have averaged 137.3 ha, 101.6 ha is used for livestock, and 57.8% of the area is compatible with grazing. the reproductive indicators are superior and an annual production of 45.5 ML. Fourth: 8 properties with slopes 50.6%, 47.5% compatible with grazing. Farms are the largest annual milk production 53.5 thousand liters, but with many gullies (ha-1).
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publishDate 2017
publisher.none.fl_str_mv Universidad Estatal Amazónica
reponame_str Revista Amazónica. Ciencia y Tecnología
repository.mail.fl_str_mv
repository.name.fl_str_mv Revista Amazónica. Ciencia y Tecnología - Universidad Estatal Amazónica
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rights_invalid_str_mv Derechos de autor 2017 Revista Amazónica. Ciencia y Tecnología
https://creativecommons.org/licenses/by/4.0
spelling Identification of the determining factors in milk production in the province of PastazaIdentificación de los factores determinantes en la producción lechera en la provincia de PastazaSegura Chávez, Edison OliverCoronel Espinoza, Billy DanielHeredia Rengifo, Marco GerardoLandines Vera, EdgarMuñoz Rengifo, Julio CesarProducción lecheraimpactosclasificacióntipificaciónmodelo estadísticomilk productionimpactsclassificationtypingstatistical modelIn order to classify and typify dairy farms in Pastaza - Ecuador was used the Model Statistical Measurement Impact (MEMI). free factors were determined: the "Herd and production" explains 38.7% of the variance of the system, defined by the variables: number of cows, females for breeding, milking cows and milk production. In the "Edaphoclimatic situation" 27.8% of the variance and 66.5% accumulated by the adjusted model is relates to: slope, area compatible with the grazing, gullies and soil depth. And the "Exploitation size” exposes the 78.7% of the cumulative variance. The impact index contributed for determine the behavior and the main problems affecting the development of the farms. To 50% of the Euclidean distance in the dendrogram conform four groups: First: In 47 farms of 45 hectares located at 16% slope, with a 22 cm soil depth and fewer gullies 32.5 ha-1, 86.4% is compatible with grazing, produce 22.3 thousand liters (ML) of milk. Second: 26 farms located in areas with steeper slope 47%, with smaller areas in livestock use, 12.5 females for breeding and consequently lower production of milk 16.8 ML of milk. These have the least depth of floor 15.3 cm and 104.2 gullies (ha-1); have high negative impact caused by erosion. Third 9 farms have averaged 137.3 ha, 101.6 ha is used for livestock, and 57.8% of the area is compatible with grazing. the reproductive indicators are superior and an annual production of 45.5 ML. Fourth: 8 properties with slopes 50.6%, 47.5% compatible with grazing. Farms are the largest annual milk production 53.5 thousand liters, but with many gullies (ha-1).Con el objetivo de clasificar y tipificar las fincas lecheras en Pastaza – Ecuador se usó el Modelo Estadístico de Medición de Impactos (MEMI). Se determinaron tres factores: El “Rebaño y producción” explica el 38.7% de la varianza del sistema, definido por las variables: número de vacas, hembras a la reproducción, vacas en ordeño y producción de leche. En la “Situación edafoclimática” el 27.8% de la varianza y el 66.5% acumulada por el modelo ajustado se relaciona con: la pendiente, área compatible con el pastoreo, cárcavas y profundidad del suelo. Y el “Tamaño de la explotación” expone el 78.7% de la varianza acumulada. El índice de impacto contribuyó para determinar el comportamiento y los principales problemas que influyen en el desarrollo de las fincas. Al 50% de la distancia euclidiana en el dendograma se conforman cuatro grupos: Primero: En 47 fincas de 45 ha ubicadas al 16% de pendiente, con una profundidad del suelo 22 cm. y menor número de cárcavas 32.5 ha-1, el 86.4 % es compatible con el pastoreo, producen 22.3 miles de litros (ML) de leche. Segundo: 26 fincas, ubicadas en zonas con mayor pendiente 47%, con menores áreas en uso ganadero, 12.5 hembras a la reproducción y como consecuencia menor producción de leche 16.8 ML de leche. Poseen la menor profundidad del suelo 15.3 cm y 104.2 cárcavas (ha-1), poseen alto impacto negativo causado por la erosión. Tercero: 9 fincas de 137.3 ha promedio, 101.6 ha utilizan para la ganadería, 57.8% del área es compatible con el pastoreo. Los indicadores reproductivos son superiores y una producción Anual de 45.5 ML. Cuarto: 8 fincas con pendientes de 50.6%, 47.5% compatible con el pastoreo. Son las fincas con mayor producción anual de leche 53.5 miles de litros, pero mayor cantidad de cárcavas (ha-1).Universidad Estatal Amazónica2017-04-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.uea.edu.ec/index.php/racyt/article/view/7310.59410/RACYT-v06n01ep03-0073Revista Amazónica. Ciencia y Tecnología; Vol. 6 No. 1 (2017): Revista Amazónica Ciencia y Tecnología ; 21-34Revista Amazónica. Ciencia y Tecnología; Vol. 6 Núm. 1 (2017): Revista Amazónica Ciencia y Tecnología ; 21-341390-80491390-5600reponame:Revista Amazónica. Ciencia y Tecnologíainstname:Universidad Estatal Amazónicainstacron:UEAspahttps://revistas.uea.edu.ec/index.php/racyt/article/view/73/77https://revistas.uea.edu.ec/index.php/racyt/article/view/73/237Derechos de autor 2017 Revista Amazónica. Ciencia y Tecnologíahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2023-07-18T21:06:59Zoai:ojs_revista.www.uea.edu.ec:article/73Portal de revistashttps://revistas.uea.edu.ec/index.php/racytUniversidad públicahttp://www.uea.edu.ec/https://revistas.uea.edu.ec/index.php/racyt/oaiEcuadoropendoar:2023-07-18T21:06:59falsePortal de revistashttps://revistas.uea.edu.ec/index.php/racytUniversidad públicahttp://www.uea.edu.ec/https://revistas.uea.edu.ec/index.php/racyt/oaiEcuadoropendoar:2023-07-18T21:06:59Revista Amazónica. Ciencia y Tecnología - Universidad Estatal Amazónicafalse
spellingShingle Identification of the determining factors in milk production in the province of Pastaza
Segura Chávez, Edison Oliver
Producción lechera
impactos
clasificación
tipificación
modelo estadístico
milk production
impacts
classification
typing
statistical model
status_str publishedVersion
title Identification of the determining factors in milk production in the province of Pastaza
title_full Identification of the determining factors in milk production in the province of Pastaza
title_fullStr Identification of the determining factors in milk production in the province of Pastaza
title_full_unstemmed Identification of the determining factors in milk production in the province of Pastaza
title_short Identification of the determining factors in milk production in the province of Pastaza
title_sort Identification of the determining factors in milk production in the province of Pastaza
topic Producción lechera
impactos
clasificación
tipificación
modelo estadístico
milk production
impacts
classification
typing
statistical model
url https://revistas.uea.edu.ec/index.php/racyt/article/view/73