Performance of grain filling rate, grain filling duration and final kernel weight in the immortalized F₂ population at two locations.

<p>Note: ^aThe kernel weight in the IF₂ population;</p>b<p>The total thermal time from pollination to the last sampling on average in the IF₂ population;</p>c<p>The average grain filling rate in the IF₂ population.</p

Conditional QTLs detected for grain filling rate in the immortalized F₂ population.

<p>Note: ^aConditional QTLs detected for grain filling rate in the IF₂ population;</p>b<p>Logarithm of Odds for each QTL.</p>c<p>A, additive values; D, dominant values;</p>d<p>The effect of each QTL; A, additive; PD, partial dominance; D, dominance; OD, overdominance;</p>e<p>R² contribution rate.</p

Two main climate factors in maize grain filling duration in 2009–2010 at Zhengzhou (a) and Anyang (b).

<p>Two main climate factors in maize grain filling duration in 2009–2010 at Zhengzhou (a) and Anyang (b).</p

Chromosomal locations of QTLs detected for grain filling rate and kernel weight.

<p>Note: <i>Triangle</i> unconditional QTLs detected for grain filling rate, <i>Star</i> conditional QTLs detected for grain filling rate, <i>Round</i> unconditional QTLs detected for kernel weight.</p

Correlation coefficients between grain filling rate, grain filling duration and final kernel weight.

<p>Note: *, **Significant effect at probabilities of 0.05 and 0.01, respectively;</p><p>The correlation coefficients for 2009 are in the upper triangular area of the table and the correlation coefficients for 2010 are in the lower triangular area of the table.</p

Unconditional QTLs detected for grain filling rate in the immortalized F₂ population.

<p>Note: ^aUnconditional QTLs detected for grain filling rate in the IF₂ population;</p>b<p>Logarithm of Odds for each QTL.</p>c<p>A, additive values; D, dominant values;</p>d<p>The effect of each QTL; A, additive; PD, partial dominance; D, dominance; OD, overdominance;</p>e<p>R² contribution rate.</p

Additional file 1: Table S1. of microRNA-dependent gene regulatory networks in maize leaf senescence

Summary of small RNA classes in the samples. Table S2. Expression abundance of the known miRNAs. Table S3. Regions of the target genes identified by degradome sequencing. Table S4. Primers used in miRNA and target gene validation. (DOCX 61 kb

Additional file 2: Figure S1. of microRNA-dependent gene regulatory networks in maize leaf senescence

T-plot of miRNA target genes. Five different categories of T-plots are shown. The degradome tag distributions along the target mRNA sequence are exhibited. The red line represents the sliced target transcripts. (TIF 4679 kb

Chromosomal locations of QTL for kernel-related traits detected in the immortalized F₂ maize population.

<p>Note: <i>Triangle</i>, unconditional QTL for kernel length; <i>Rhombus</i>, unconditional QTL for kernel width; <i>Heart</i>, unconditional QTL for kernel volume; <i>Star</i>, unconditional QTL for kernel weight; <i>Moon</i>, conditional QTL for kernel volume; and <i>Square</i>, conditional QTL for kernel weight.</p

Correlation coefficients among five kernel-related traits in the immortalized F₂ population.

<p>Notes: ^** Significant correlation (<i>p</i>≤0.01).</p><p>Correlation coefficients for 2009 are above the diagonal, while those for 2010 are below the diagonal.</p