Off-campus South Dakota State University users: To download campus access theses, please use the following link to log into our proxy server with your South Dakota State University ID and password.

Non-South Dakota State University users: Please talk to your librarian about requesting this thesis through interlibrary loan.

Document Type

Thesis - University Access Only

Award Date


Degree Name

Master of Science (MS)

Department / School

Plant Science

First Advisor

Zeno Wicks III


Drought is defined as a combination of environmental conditions that results in an internal plant water stress limiting potential growth or yield. Short periods of drought stress are common during the life cycle of maize in rainfed production areas, and such periods are decisive in reducing yield. Biological immunity to the effects of drought is not a possibility. However, through plant breeding, it may be possible to develop some degree of tolerance to the effects of drought. One strategy for developing drought tolerant maize genotypes is to select under moisture stress conditions. However, drought is normally an uncertain condition, varying in its incidence, severity, and timing. This suggests the need to select for performance in both well-watered and moisture-stressed environments. A procedure that gradually increases the frequency of desirable alleles in base populations, while maintaining genetic variability is recurrent selection. Several studies have shown that recurrent selection methods have been effective for increasing grain yield of maize {Sprague and Eberhart, 1977). In 1980, a project was initiated to develop a population tolerant to drought stress by using a combined half-sib and S1 recurrent selection approach. The objective of the present study was to evaluate the response of the first two cycles of this population by looking at gains from selection and stability parameters.

Library of Congress Subject Headings

Corn -- Selection
Corn -- Selection -- Evaluation
Corn -- Drought tolerance




South Dakota State University