Mostrar el registro sencillo del ítem

dc.contributor.author SÁNCHEZ-PÉREZ, ROSARIO
dc.contributor.author MARIEZCURRENA, MARÍA
dc.contributor.author ELGHANDOUR, MONA M M Y
dc.contributor.author MELLADO, MIGUEL
dc.contributor.author CAMACHO-DIAZ, LUIS M
dc.contributor.author CIPRIANO-SALAZAR, MOISÉS
dc.contributor.author SALEM, ABDELFATTAH Z M
dc.date.accessioned 2018-11-15T01:25:18Z
dc.date.available 2018-11-15T01:25:18Z
dc.date.issued 2017-12-14
dc.identifier.issn 0367-8318
dc.identifier.uri http://hdl.handle.net/20.500.11799/95173
dc.description.abstract In pasture-based dairy systems, there is a close relationship between milk production and dry matter intake (DMI), hence the importance of measuring these variables, although obtaining this information implies high labour and costs. The objective of this study was to design a mathematical model to predict DMI for grazing dairy cows. This model was based on the basic principle of the fill-unit system. In this scheme, cows and feedstuffs were described in terms of feed intake capacity (FIC) and fill (unit/amount of feed), respectively. The FIC was determined by the animal’s ability to regulate feed intake which depends on factors such as body size, age and lactation status. The “fill” was determined by the nutritional properties of the feedstuff such as its dry matter (DM) digestibility and crude protein (CP) content, among others. In the design of the model, ad lib. feed consumption was assumed. Parity, state of lactation and gestation were considered to estimate the cow ingestion capacity. Satiety values (SV) were determined for Festuca arundinacea and Lolium multiflorum and these values were incorporated into the model, including DM, CP, neutral detergent fibre (NDF) and in vitro digestible organic matter (dOM). The fixed parameters of the model were determined by adjusting a polynomial regression to the data from three experiments with lactating Holstein cows from Baja California, Mexico (n=30).The model allows predicting DMI, using as inputs, easily measured data and does not require knowing daily milk yield (MY) or body weight (BW), so the model is practical and consistent. The results obtained from the model were satisfactory because they were similar to those attained experimentally. Average DMI was 21.68 kg/d in one group and 23.44 kg/d in the other; when applying the model, we obtained an estimate of 22.82 kg/d for a cow with characteristics similar to those of the cows under study es
dc.language.iso eng es
dc.publisher Indian Journal of Animal Sciences es
dc.rights openAccess es
dc.rights https://creativecommons.org/licenses/by-nc-sa/4.0/ es
dc.rights openAccess es
dc.rights https://creativecommons.org/licenses/by-nc-sa/4.0/ es
dc.subject Dairy cows es
dc.subject Dry matter intake es
dc.subject Grazing es
dc.subject Mathematical model es
dc.title Mathematical model to predict the dry matter intake of dairy cows on pasture es
dc.type Artículo es
dc.provenance Científica es
dc.road Dorada es
dc.ambito Internacional es


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Visualización del Documento

  • Título
  • Mathematical model to predict the dry matter intake of dairy cows on pasture
  • Autor
  • SÁNCHEZ-PÉREZ, ROSARIO
  • MARIEZCURRENA, MARÍA
  • ELGHANDOUR, MONA M M Y
  • MELLADO, MIGUEL
  • CAMACHO-DIAZ, LUIS M
  • CIPRIANO-SALAZAR, MOISÉS
  • SALEM, ABDELFATTAH Z M
  • Fecha de publicación
  • 2017-12-14
  • Editor
  • Indian Journal of Animal Sciences
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Dairy cows
  • Dry matter intake
  • Grazing
  • Mathematical model
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

Mostrar el registro sencillo del ítem

Buscar en RI


Buscar en RI

Usuario

Estadísticas