The correlations were calculated separately in both seasons with best linear unbiased predictors (BLUPs) for SCMR and SLA at 60 and 80 DAS and other traits.
The mean SCMR and SLA values of entries in the mini core collection were compared with the best control cultivar out of four used and the entries, which showed mean significantly superior (P = 0.05) for a trait in each season were determined.
The REML analysis of data for individual seasons separately revealed that genotypic variance was significant for both SLA and SCMR at 60 and 80 DAS and for 19 other traits in both seasons (Table 1), indicating that the entries included in the mini core displayed high variation among genotypes.
Mean SCMR values in the 2001-2002 postrainy season (41.31 [+ or -] 0.180 at 60 DAS, 42.85 [+ or -] 0.270 at 80 DAS) were greater than in the 2001 rainy season (35.80 [+ or -] 0.182 at 60 DAS, 35.51 [+ or -] 0.171 at 80 DAS) at both 60 and 80 DAS in the mini core.
None of the entries in the mini core collection showed significantly greater SCMR values than the best control cultivar ICGS 76 at 60 DAS in the 2001 rainy and 2001-2002 postrainy seasons and 80 DAS in the 2001 rainy season.
In Table 3, the country of origin, SCMR, and SLA values of peanut mini core collection and control cultivars at 60 and 80 DAS in the 2001 rainy and 2001-2002 postrainy seasons is given.
Correlations between SCMR and SLA values were calculated to know the relationship in the mini core collection between these two traits at 60 and 80 DAS in both seasons.
The results of this evaluation of the peanut mini core collection revealed a large variation for SCMR and SLA.