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Evaluation of seedling emergence in cicer milkvetch astragalus cicer by linear regression


Crop Science 19(5): 694-697
Evaluation of seedling emergence in cicer milkvetch astragalus cicer by linear regression
Linear regression was used to evaluate the stability and adaptability of polycross progenies of (A. cicer L.) for seedling emergence in diverse environments. The environments included 4 sites in Colorado and 1 each in Montana, Oklahoma, New Mexico [USA] and Alberta, Canada, with 2 or more years of evaluation at some sites. Data from the last 2 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 progeney 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.

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Accession: 005401349



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