With the application of mechanistic model (RICAM 1.3, RIce growth Calendar Model), this paper simulated the rice development and its yield formation under different climatic conditions at multi-locations of Asia. A three-stage Beta model (3s-Beta) was developed to predict the flowering stage of rice and to describe its three successive phases of photo-thermal response, i. e., basic vegetative phase, photoperiod-sensitive phase, and post photoperiod-sensitive phase. The 1980-1989 multi-location data of Morioka (Japan, 39°43′N), Nanchang (China, 28°36′N) and Los Banos (Philippines, 14°11′N) were used to verify the suitability of the model in studying ecosystem change. Comparisons of simulated results with observed data showed that this model ...
The biomass (X) of a biological population, described by growth models, depends only on time (t), i....
Rice production is threatened by climate change and the productivity of rainfed rice is increasingly...
In the present study, computer language DYNAMO was applied to build a dynamic model of rice growth p...
With the application of mechanistic model (RICAM 1.3, RIce growth Calendar Model), this paper simula...
Crop models have been widely used in simulating and predicting changes in rice phenology in the majo...
The likely effects of climate change caused by increasing atmospheric carbon dioxide levels on rice ...
Rice Oryza sativa L. development - and also its response to climatic change - is mainly determined b...
Climate change scenarios are predicting, by the end of the century, an increase in air temperature f...
The objective of this study was to simulate leaf development of cultivated rice genotypes and weedy ...
Most models that predict crop development based on temperature and photoperiod ignore critical chang...
Climate change impacts the sustainability of agriculture. Physiological processes are very essential...
Accurate prediction of crop phenology is important not only for modelling purposes but also for crop...
The yield of lowland rice is prone to climatic factors and farming practices, among which water mana...
Accurate prediction of crop phenology is important not only for modelling purposes but also for crop...
Abstract: Climate change has affected crop phenology, leading to changes in agriculture productivity...
The biomass (X) of a biological population, described by growth models, depends only on time (t), i....
Rice production is threatened by climate change and the productivity of rainfed rice is increasingly...
In the present study, computer language DYNAMO was applied to build a dynamic model of rice growth p...
With the application of mechanistic model (RICAM 1.3, RIce growth Calendar Model), this paper simula...
Crop models have been widely used in simulating and predicting changes in rice phenology in the majo...
The likely effects of climate change caused by increasing atmospheric carbon dioxide levels on rice ...
Rice Oryza sativa L. development - and also its response to climatic change - is mainly determined b...
Climate change scenarios are predicting, by the end of the century, an increase in air temperature f...
The objective of this study was to simulate leaf development of cultivated rice genotypes and weedy ...
Most models that predict crop development based on temperature and photoperiod ignore critical chang...
Climate change impacts the sustainability of agriculture. Physiological processes are very essential...
Accurate prediction of crop phenology is important not only for modelling purposes but also for crop...
The yield of lowland rice is prone to climatic factors and farming practices, among which water mana...
Accurate prediction of crop phenology is important not only for modelling purposes but also for crop...
Abstract: Climate change has affected crop phenology, leading to changes in agriculture productivity...
The biomass (X) of a biological population, described by growth models, depends only on time (t), i....
Rice production is threatened by climate change and the productivity of rainfed rice is increasingly...
In the present study, computer language DYNAMO was applied to build a dynamic model of rice growth p...