scholarly journals Use of crop simulation modelling to aid ideotype design of future cereal cultivars

2015 ◽  
Vol 66 (12) ◽  
pp. 3463-3476 ◽  
Author(s):  
R. P. Rötter ◽  
F. Tao ◽  
J. G. Höhn ◽  
T. Palosuo
1991 ◽  
Vol 35 (3) ◽  
pp. 321-337 ◽  
Author(s):  
P.K. Thornton ◽  
J.A. Blair-Fish ◽  
S.M.D. Wilson

2003 ◽  
Vol 54 (8) ◽  
pp. 789 ◽  
Author(s):  
G. Pracilio ◽  
S. Asseng ◽  
S. E. Cook ◽  
G. Hodgson ◽  
M. T. F. Wong ◽  
...  

The management of excess water (recharge or deep drainage) is one of many important issues required to address dryland salinity. To provide information on site-specific risk of deep drainage at a landholder scale, spatially variable deep drainage beneath an annual crop was estimated for a catchment of approximately 25 000 ha. The method coupled the results from one-dimensional crop simulation modelling (Agricultural Production Systems Simulator) with probabilistic soil mapping (Expector). Annual deep drainage over the catchment averaged 18 mm, representing 5% of rainfall. The annual deep drainage for the most probable soil types averaged 25 mm for acid loamy sand, 19 mm for yellow duplex, 14 mm for loamy sand, and 12 mm for red duplex. Groundwater modelling (Flowtube) highlighted that the groundwater table below the flat valley is not likely to be lowered with the introduction of perennial vegetation upslope. However, scenario spatial modelling indicated that replacing vegetation in areas of the most drainage-prone soil types, acid loamy sand (22% of catchment) and acid loamy sand plus yellow duplex (together at 48% of catchment area), was predicted to reduce annual average deep drainage by 38 and 60%, respectively. Mapping deep drainage by this method is of value to land managers who want to reduce deep drainage by locating priority areas for the establishment of perennial vegetation.


2001 ◽  
Vol 37 (4) ◽  
pp. 433-472 ◽  
Author(s):  
S. N. Azam-Ali ◽  
A. Sesay ◽  
S. K. Karikari ◽  
F. J. Massawe ◽  
J. Aguilar-Manjarrez ◽  
...  

Using experience with bambara groundnut (Vigna subterranea), this paper examines how local knowledge, genetic evaluation, research in fields, glasshouses and laboratories, and crop simulation modelling might be linked within a methodological framework to assess rapidly the potential of any underutilized crop. The approach described is retrospective in that each activity was not clearly defined and structured at the outset. However, the experience gained may help to establish a methodology by which growers, researchers and international agencies can integrate their knowledge and understanding of any particular underutilized crop and apply similar principles to accelerate the acquisition of knowledge on other underutilized species. The use of a methodological framework provides a basis for activities that maximize knowledge, minimize duplication of effort, identify priority areas for further research and dissemination, and derive general principles for application across underutilized crops in general. It also allows policy makers and planners to make comparative decisions on the nutritional, economic and research importance of different underutilized and more-favoured species. In particular, the incorporation of a generic crop simulation model within the methodological framework may assist growers, extension agencies and scientists to refine general recommendations for any particular crop to local conditions. Also, the incorporation of information gathered from the field, laboratory or market can be used to update rapidly the predictive capacity of the model for each crop.


Sign in / Sign up

Export Citation Format

Share Document