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Evaluation of Seedling Emergence in Cicer Milkvetch by Linear Regression¹

We used linear regression to evaluate the stability and adaptability of polycross progenies of cicer milkvetch (Astragalus cicer L.) for seedling emergence in diverse environments. The environments included four sites in Colorado and one each in Montana, Oklahoma, New Mexico, and Alberta, Canada, with 2 or more years of evaluation at some sites. Data from the last two sites were omitted from regression analysis because of extreme variation. Although there were large differences among environments for seedling emergence, several progenies ranked high in all environments. Such progenies were average or above average for stability and could be considered well adapted to most environments. The progeny with the highest average emergence had below average stability because it was poorly adapted to the most unfavorable environment. Soil moisture conditions at planting time and subsequent precipitation greatly influenced seedling emergence. Linear regression was a simple and effective method of demonstrating the relative stability and adaptability of polycross progenies for seedling emergence in these environments.

Key Words: Astragalus cicer L. • Adaptability • Stability • Genotype x environment interaction • Stand establishment • Seedling vigor • Homeostasis

² Research geneticist, AR, SEA, USDA, Fort Collins, CO 80523; professor of statistics, Colorado State Univ., Fort Collins; research agronomist, AR, SEA, USDA, Woodward, OK 73801; associate professor of agronomy, Montana State Univ., Bozeman, MT 59717; professor of agronomy, New Mexico State Univ., Las Cruces, NM 88003; research scientist, Canada Agric., Lethbridge, Alberta T1J 4BI.

Received for publication April 2, 1979.