Fig. 4: Best linear unbiased predictors (BLUPs) reveal correlations between key agronomic traits. | Communications Biology

Fig. 4: Best linear unbiased predictors (BLUPs) reveal correlations between key agronomic traits.

From: Population genomics uncovers loci for trait improvement in the indigenous African cereal tef (Eragrostis tef)

Fig. 4

a–c Analysis of BLUPs for n = 141 accessions and redundancy groups. a Correlation tests were conducted between the BLUPs for 20 traits of interest. Significant correlations (p <  0.05) are indicated by circles whose size and colour represent the magnitude and direction of correlation. b Boxplot of plant height BLUPs for white-grained (n = 84) and brown-grained (n = 57) varieties, with individual data points overlaid. White-grained accessions tended to produce taller plants. The centre line represents the median; the lower and upper hinges correspond to the 25th and 75th percentiles, and the whisker extends to 1.5 * Interquantile range (IQR). c Scatterplot of grain area BLUPs against thousand grain weight (TGW) BLUPs. A distinctly bimodal distribution is strongly explained by grain colour, with white-grained varieties tending to produce smaller grains. Despite this, their grains are of approximately the same mass as brown-grained varieties, suggesting higher grain densities.

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