LEAF NUMBER ESTIMATION FROM SHOOT DRY WEIGHT MEASUREMENTS FOR TWO TURFGRASS SPECIES
The objective of this study was to determine if total plant leaf numbers in a large data set could be predicted from individual plant shoot dry weight measurements using regression equations derived from a subset of the data. The species used were annual bluegrass (Poa annua L.) and creeping bentgrass (Agrostis palustris Huds. ’Penncross’). There was significant correlation between leaf number and shoot dry weight measurements in data subsets. Leaf numbers for the total data set were estimated by the regression equation derived from a subset consisting of pooled data from one, two or three replicates. This procedure was assessed by comparing predictions from regression equations with actual values, using a number of different sets of replicates to generate the regression equation. On the basis of the results we suggest that, for annual bluegrass and creeping bentgrass in greenhouse pot culture, this procedure can be used to accurately estimate leaf number data for remaining replicates within an experimental design, once regression coefficients are established from pooled data from two replicates.Key words: Leaf number estimation, shoot dry weight, annual bluegrass, creeping bentgrass