Genotype-by-environment interaction in grain sorghum. III. Modeling the impact in field environments

Hammer, G. L. and Vanderlip, R. L. (1989) Genotype-by-environment interaction in grain sorghum. III. Modeling the impact in field environments. Crop Science, 29 2: 385-391.


Author Hammer, G. L.
Vanderlip, R. L.
Title Genotype-by-environment interaction in grain sorghum. III. Modeling the impact in field environments
Journal name Crop Science
Publication date 1989-03
Sub-type Article
Volume number 29
Issue number 2
ISSN 0011-183X;1435-0653
Start page 385
End page 391
Total pages 7
Place of publication Madison, WI, United States
Publisher Crop Science Society of America
Language eng
Abstract Models of crop growth and development provide tools for examining impacts of changes in physiological traits in field environments. We modified the sorghum [Sorghum bicolor (L.) Moench] crop model, SORKAM, to include effects of genotype-by-environment interaction on ontogeny and radiation use efficiency of old and new sorghum hybrids. New hybrids are considered better adapted to more tropical environments. We simulated 40 y of yield data for five sites within the Great Plains from North Platte, NE (41° 9′ N lat.) to Weslaco, TX (26° 10′ N lat.). Simulated crops were fully irrigated and were planted at standard dates at each site. In this way, potential yield estimates were derived for each site. At two locations (Manhattan, KS, and Temple, TX), yield also was simulated without irrigation. Hybrid types differing only in ontogeny yielded similarly in either irrigated or dryland conditions. However, hybrids with enhanced radiation use efficiency at high temperature had increased potential yield at all sites. Average potential yield increased by 3, 18, 23, 26, and 27% for North Platte, Manhattan, Lubbock, Temple, and Weslaco, respectively. The increase was maintained under dryland conditions, but the magnitude was less at low yield level because of the dominating effect of water limitation. The trend in potential yield increase from north to south suggested the effect of temperature on radiation use efficiency was associated with the improved adaptation to more tropical environments shown by the new hybrids. However, the predicted trend was not entirely consistent with previous field studies, suggesting the need for research aimed at understanding what causes enhanced radiation use efficiency. This study demonstrated that modeling has an important role to play in linking physiological research with crop improvement. Modeling can improve relevancy of physiological research and application of that research to crop improvement.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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