OAR@ICRISATConcepts for the application of crop physiological models to crop breedingJ HWilliamsauthorMany difficulties in the plant breeding process may be attributed to genotype by environment interactions. The present solutions to many of these problems are scientifically empirical and economically costly. Crop physiological models have the potential to be a tool in improving the plant breeding process. The challenge in applying crop models to breeding has been getting the data needed for these models. For simulation models the input parameters generally are very extensive, which means that they cannot be applied to selection among tlie large numbers of lines handled in a breeding program. However, simpler crop physiological models involving only a few parameters, derived from nondestructive observation, have the potential to greatly improve the efficiency of breeding processes without major changes in data capture and processing capabilities. The techniques advocated can be applied to both improving selection techniques and exploiting the lines generated. Oilseeds1992Conference or Workshop Item

For work being deposited by its own author: In self-archiving this collection of files and associated bibliographic metadata, I grant OAR@ICRISAT the right to store them and to make them permanently available publicly for free on-line. I declare that this material is my own intellectual property and I understand that OAR@ICRISAT does not assume any responsibility if there is any breach of copyright in distributing these files or metadata. (All authors are urged to prominently assert their copyright on the title page of their work.)

For work being deposited by someone other than its author: I hereby declare that the collection of files and associated bibliographic metadata that I am archiving at OAR@ICRISAT) is in the public domain. If this is not the case, I accept full responsibility for any breach of copyright that distributing these files or metadata may entail.

Clicking on the deposit button indicates your agreement to these terms.