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dc.contributor.author YONG ANGEL, GILBERTO
dc.contributor.author Pires Silveira, Vicente Celestino
dc.contributor.author Avilés Nova, Francisca
dc.contributor.author CASTELAN ORTEGA, OCTAVIO ALONSO
dc.creator YONG ANGEL, GILBERTO; 214778
dc.creator Pires Silveira, Vicente Celestino;#0000-0001-6839-2555
dc.creator Avilés Nova, Francisca;#0000-0001-9353-9790
dc.creator CASTELAN ORTEGA, OCTAVIO ALONSO; 21079
dc.date.accessioned 2016-03-16T17:16:32Z
dc.date.available 2016-03-16T17:16:32Z
dc.date.issued 2014
dc.identifier http://www.redalyc.org/articulo.oa?id=33131799027
dc.identifier.uri http://hdl.handle.net/20.500.11799/38984
dc.description.abstract The objective of the present study was to simulate the effect of the seasonal variation of climate on the nutritional value and dry matter yield of star grass and its capacity to support milk production alone or with concentrate supplementation in small- scale milk production systems in the tropical regions of Mexico. Two mathematical simulation models were used, the fi rst model simulates the growth and yield of star grass ( Cynodon plectostachyus ), and the second model simulates the productive performance of dairy cows. Both models were integrated in a decision-making support system (DSSTROP). Models predictions were validated by a calibration exercise for each data set from three experiments on the effect of concentrate supplementation on milk yield. The DSSTROP predictions and the results from the experiments were compared by regression analysis. The results suggest that the DSSTROP adequately predicts milk production (R 2 =0.74). The DSSTROP predictions suggest that milk production based solely on star grass may occur only between June to August. The highest milk yield (8.5kg cow -1 day -1 ) sustained solely on grass was achieved in June, followed by lower yields of <5kg cow -1 day -1 in July and August. Milk production without concentrates can be explained by the positive effects of the rain observed during June to August on grass growth, and to the fact that grass quality is best at the beginning of the rainy season. It is concluded that June to August is the best time of the year for milk production base solely on grass. It also was concluded that the use of large quantities of concentrates by farmers may be justi fi ed because milk production with star grass alone may not be possible especially during the dry season. es
dc.format application/pdf
dc.language.iso eng es
dc.publisher Universidade Federal de Santa Maria
dc.relation http://www.redalyc.org/revista.oa?id=331
dc.rights Ciência Rural
dc.rights openAccess es
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0
dc.source Ciência Rural (Brasil) Num.8 Vol.44
dc.subject Agrociencias es
dc.subject Simulation models es
dc.subject feeding strategies es
dc.subject small-scale milk production es
dc.subject.classification CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA
dc.title Simulating the effect of climate on star grass growth and quality and its capacity to support milk production in the tropical regions of Mexico es
dc.type Artículo es
dc.provenance Científica es
dc.road Dorada es
dc.ambito Internacional es
dc.audience students es
dc.audience researchers es
dc.type.conacyt article
dc.identificator 6


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  • Título
  • Simulating the effect of climate on star grass growth and quality and its capacity to support milk production in the tropical regions of Mexico
  • Autor
  • YONG ANGEL, GILBERTO
  • Pires Silveira, Vicente Celestino
  • Avilés Nova, Francisca
  • CASTELAN ORTEGA, OCTAVIO ALONSO
  • Fecha de publicación
  • 2014
  • Editor
  • Universidade Federal de Santa Maria
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Agrociencias
  • Simulation models
  • feeding strategies
  • small-scale milk production
  • 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)

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