Name: Crop Systems Dynamics: An Ecophysiological Simulation Model of Genotype-By-Environment Interactions (en Inglés)
SKU: 1784763
Price: 83.68 USD
Availability: InStock
Author: Xinyou, Yin ; Van Laar, H. H.
ISBN: 9789076998558

portada Crop Systems Dynamics: An Ecophysiological Simulation Model of Genotype-By-Environment Interactions (en Inglés)

Crop Systems Dynamics: An Ecophysiological Simulation Model of Genotype-By-Environment Interactions (en Inglés)

Formato

Libro Físico

Autor

Yin Xinyou

Editorial

Brill Wageningen Academic

Idioma

Inglés

N° páginas

156

Encuadernación

Tapa Blanda

Peso

ISBN

9076998558

ISBN13

9789076998558

Categorías

Agronomía y producción agrícola

Crop Systems Dynamics: An Ecophysiological Simulation Model of Genotype-By-Environment Interactions (en Inglés)

Yin Xinyou (Autor) · Brill Wageningen Academic · Tapa Blanda

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Reseña del libro "Crop Systems Dynamics: An Ecophysiological Simulation Model of Genotype-By-Environment Interactions (en Inglés)"

"This book presents a generic process-based crop growth model, GECROS (Genotype-by-Environment interaction on CROp growth Simulator), recently developed in Wageningen. The model uses robust yet simple algorithms to summarize the current knowledge of individual physiological processes and their interactions and feedback mechanisms. It was structured from the basics of whole-crop systems dynamics to embody the physiological causes rather than descriptive algorithms of the emergent consequences. It also attempts to model each process at a consistent level of detail, so that no area is overemphasized and similarly no area is treated in a trivial manner. Main attention has been paid to interactive aspects in crop growth such as photosynthesis-transpiration coupling via stomatal conductance, carbon-nitrogen interaction on leaf area index, functional balance between shoot and root activities, and interplay between source supply and sink demand on reserve formation and remobilization. GECROS combines robust model algorithm, high computational efficiency, and accurate model output with minimum number of input parameters that require periodical destructive sampling to estimate."