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. 2020 Jul 22;11:788. doi: 10.3389/fpls.2020.00788

FIGURE 2.

FIGURE 2

Chromosomal distributions of yield-related QTL identified in the present study. (A) QTL regions represented by the confidence intervals for linkage mapping across the maize genome from each dataset are shown as boxes. The width of the boxes reflects the length of the confidence interval. The different colors of the boxes indicate the four environments, respectively. Orange, 2015 Shijiazhuang; green, 2015 Xinxiang; blue, 2016 Shijiazhuang; and red, 2016 Xinxiang. The x-axis indicates genetic positions across the maize genome in Mb. The heatmap under the x-axis illustrates the density of grain yield-related related QTL across the genome. The black arrows point out the QTL hotspots. RN, Row number; KN, Kernel number per row; KT, Kernel thickness; KW, Kernel width; KL, Kernel length; HKW, 100-kernel weight; VW, Volume weight; YP, Yield per plot. (B) The numbers of QTL distributed on each chromosome for the eight yield-related traits identified for per se performances of traits (above) and their GCA effects (below). (C) Frequency distribution of QTL interval length and the variance explained by each QTL identified for per se performances of traits and their GCA effects. PVE, phenotypic variation explained.