Agronomy Journal Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Figures Only
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (12)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ritchie, J. T.
Right arrow Articles by Alagarswamy, G.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Ritchie, J. T.
Right arrow Articles by Alagarswamy, G.
Agricola
Right arrow Articles by Ritchie, J. T.
Right arrow Articles by Alagarswamy, G.
Related Collections
Right arrow Agroclimatology
Right arrow Crop Growth and Development
Right arrow Maize
Right arrow Crop Systems
Right arrow Crop Models
Right arrow Crop Genetics
Right arrow Maize Management
Agronomy Journal 95:4-9 (2003)
© 2003 American Society of Agronomy

SYMPOSIUM PAPERS

Model Concepts to Express Genetic Differences in Maize Yield Components

Joe T. Ritchie* and Gopal Alagarswamy

Dep. of Crop and Soil Sci., Michigan State Univ., East Lansing, MI 48824-1325

* Corresponding author (ritchie{at}msu.edu)

Received for publication May 1, 2001. Maize (Zea mays L.) grain yield is closely related to kernel number per unit area. The quantification of genetic differences among maize cultivars to kernel number plant-1 (KNP) is critical for accurate yield simulation but remains one of the less accurate components of yield modeling. Our objective was to document the recently published KNP data and revise CERES Maize model (V3.5). The duration of a critical window for KNP simulation was 327°C days (227°C days before and 100°C days after silking—base temperature 8°C) when ears actively grew. The KNP was curvilinearly related to cumulative intercepted photosynthetically active radiation plant-1 (CIPAR) during the critical window. Potential kernel ear-1 and kernel produced per unit CIPAR were the genetic coefficients needed to simulate KNP. Apical ears produced maximum KNP at a plateau CIPAR of 64 MJ, and prolific hybrids produced secondary ears when CIPAR exceeded 64 MJ. The genetic differences in prolificacy in low plant density were expressed by another coefficient. Below a threshold CIPAR of 11 MJ, all plants were barren, and a barrenness coefficient expressed genetic differences among old and modern hybrids to produce KNP in high plant density. Sensitivity analysis with limited testing indicated that the revised model simulated yield reasonably well [root mean square error (RMSE) = 0.63 Mg ha-1] compared with the original model (RMSE = 1.25 Mg ha-1) across a wide range of plant densities. However, rigorous testing of the model will be required to gain greater confidence in the proposed concepts.

Abbreviations: AIPAR, average intercepted photosynthetically active radiation plant-1 day-1 • CIPAR, cumulative intercepted photosynthetically active radiation plant-1 • KN1, kernel number of apical ear • KN2, kernel number of the second ear • KNP, kernel number plant-1 • PGR, plant growth rate • RMSE, root mean square error




This article has been cited by other articles:


Home page
Agron. J.Home page
F. X. Lopez-Cedron, K. J. Boote, J. Pineiro, and F. Sau
Improving the CERES-Maize Model Ability to Simulate Water Deficit Impact on Maize Production and Yield Components
Agron. J., February 26, 2008; 100(2): 296 - 307.
[Abstract] [Full Text] [PDF]


Home page
Crop Sci.Home page
J. I. Lizaso, A. E. Fonseca, and M. E. Westgate
Simulating Source-Limited and Sink-Limited Kernel Set with CERES-Maize
Crop Sci., September 1, 2007; 47(5): 2078 - 2088.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
H. Yang, A. Dobermann, K. G. Cassman, and D. T. Walters
Features, Applications, and Limitations of the Hybrid-Maize Simulation Model
Agron. J., May 3, 2006; 98(3): 737 - 748.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 2003 by the American Society of Agronomy.