<p>Manhattan plot of GWAS for plant height (PH) evaluated in a soybean association mapping panel across the following environments of southern Brazil, A) Cascavel, B) Palotina, C) Primavera do Leste and D) Rio Verde. Negative log10-transformed P-values of SNPs from a genome-wide scan for PH using a mixed linear model that includes both kinship and populations structure are plotted against positions on each of the 20 chromosomes. The significant associations (P > 3.0 × 10<sup>−3</sup>) are distinguished by the threshold line.</p
Root systems can display variable genetic architectures leading to nutrient foraging or improving ab...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Single nucleotide polymorphisms (SNPs) are the marker of choice for many researchers due to their ab...
<p>Manhattan plots of GWAS for 100-seed weight (SW) evaluated in a soybean association mapping panel...
<div><p>Mapping quantitative trait loci through the use of linkage disequilibrium (LD) in population...
Genetic variation is pivotal for crop improvement. Natural populations are precious genetic resource...
Population structure analyses and genome-wide association studies (GWAS) conducted on crop germplasm...
Plant height (PH) and the number of nodes on the main stem (NN) serve as major plant architecture tr...
Soybean [Glycine max (L.) Merr.], an important oilseed crop, is a low-cost source of protein and oil...
Identifying the genetic components underlying yield-related traits in soybean is crucial for improvi...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Identifying the genetic components underlying yield-related traits in soybean is crucial for improvi...
A set of nested association mapping (NAM) families was developed by crossing 40 diverse soybean [ (L...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Root systems can display variable genetic architectures leading to nutrient foraging or improving ab...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Single nucleotide polymorphisms (SNPs) are the marker of choice for many researchers due to their ab...
<p>Manhattan plots of GWAS for 100-seed weight (SW) evaluated in a soybean association mapping panel...
<div><p>Mapping quantitative trait loci through the use of linkage disequilibrium (LD) in population...
Genetic variation is pivotal for crop improvement. Natural populations are precious genetic resource...
Population structure analyses and genome-wide association studies (GWAS) conducted on crop germplasm...
Plant height (PH) and the number of nodes on the main stem (NN) serve as major plant architecture tr...
Soybean [Glycine max (L.) Merr.], an important oilseed crop, is a low-cost source of protein and oil...
Identifying the genetic components underlying yield-related traits in soybean is crucial for improvi...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Identifying the genetic components underlying yield-related traits in soybean is crucial for improvi...
A set of nested association mapping (NAM) families was developed by crossing 40 diverse soybean [ (L...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Root systems can display variable genetic architectures leading to nutrient foraging or improving ab...
Seed weight per plant (SWPP) of soybean (Glycine max (L.) Merr.), a complicated quantitative trait c...
Single nucleotide polymorphisms (SNPs) are the marker of choice for many researchers due to their ab...