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In the subsoil, in contrast, the variation of maize C incorporation into the SOC pool was controlled by variations in maize yield (R2 = 0.44), which also exhibited a pronounced spatial variability (0.84 to 1.94 kg dry biomass m−2), and which was negatively correlated with the amount of rock fragments (R2 = 0.48, p < 0.001).
Moreover, our analysis also indicated that the promoter variation of maize pri-miR164b in 87-1 and Zong3 might be one in which the dominant cis-element affects the expression of pri-miR164b, leading to differences in mature miR164 expression.
In addition, a lack of correlation in mRNA abundance and telomere length in both the IBM and diversity-line experiments could have several explanations: variation in protein sequence or activity that is not associated with transcript abundance, linkage of a candidate that is not the causal gene for the QTL, or relatively low variation of maize telomere-regulating genes.
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Indeed, the intergenic space in the maize genome is known to be highly polymorphic among inbred lines [ 12, 28], and these structural and nucleotide polymorphisms may drive transcriptional variation of certain maize genes.
Provitamin A biofortification efforts are strengthened by association studies that further characterize the underlying genetic basis of variation for maize grain carotenoids and thus provide more loci that can be used in different combinations in MAS and GS programs.
In contrast to the high uniformity of telomere length within genotypes, variation among genotypes of maize is high (Burr et al. 1992).
Another gene that is frequently proposed to contribute to variation of FT in maize is Dwarf8 (D8) (e.g.[ 39]).
These results demonstrate that a few QTLs with major effects and several QTLs with medium to minor effects might contribute to the natural variation of tocopherols in maize grain.
Figure 1 shows the results of our TRF analysis examining telomere length variation as a function of maize development and genotype.
Exploration of natural variation in maize showed partial separation of phytate levels and Fe bioavailability.
In the CI7/K22 RIL population, QTL mapping revealed that the variation in the starch content of maize kernels is controlled by at least six QTLs detected by the BLUP value, each accounting for 4.7 10.6 % of the phenotypic variation.
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