Mathematical Models in Agriculture: Quantitative Methods for the Plant, Animal and Ecological Sciences
By J. Thornley. 2006
205 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics
View Paper: https://www.semanticscholar.org/paper/06dd87346da381e34fc9a902d138a2bffa8d350d
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In Ecology, Evolution, Behavior and Systematics
Citations in the corpus
- Modelling growth and body composition in fish nutrition: where have we been and where are we going? (2010, background): “…this reason, several mathematical modellers have insisted on the need to move from a requirement-based (input^output) to a rate:state approach where the major variables in play can be described and related dynamically, similar to a metabolic pathway (AFRC 1991;Thornley & France 2007; Lo¤ pez 2008).”
- Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis[W][OPEN] (2014, background): “Many mechanistic growth models have been established to model the laws of plant growth (Karkach, 2006; Thornley and France, 2007; Paine et al., 2012), which aim to provide the simplest description that accurately captures the growth dynamics of individuals.”
- Growth curve analyses in poultry science (2017, methodology): “The models used in the field of agriculture are divided into three categories as teleonomic, empirical, and mechanistic (Thornley and France, 2007).”