Abstract Introduction Genome-Wide Association Studies (GWAS) identify tagging variants in
the genome that are statistically associated with the phenotype because of their linkage …

Association mapping (AM) is a powerful approach to dissect the genetic architecture of
quantitative traits. The main goal of our study was to empirically compare several statistical …

As important yield components, the genetic analysis of ear‐related traits could provide a
theoretical basis for maize breeding. Here, we reported the comprehensive genetic …

Genetic association mapping has been widely applied to determine genetic markers
favorably associated with a trait of interest and provide information for marker-assisted …

Ear row number (ERN) is not only a key trait involved in maize (Zea mays L.) evolution but is
also an important component that is directly related to grain yield. In this study, quantitative …

Classical genetic studies have identified many cases of pleiotropy where mutations in
individual genes alter many different phenotypes. Quantitative genetic studies of natural …

Genome-wide association scans (GWAS) provide a mechanism to assess variation that
segregates in a gene pool, rather than in a biparental population. Fashioned originally in …

Genome-wide association studies (GWAS) may benefit from utilizing haplotype information
for making marker-phenotype associations. Several rationales for grouping single …

Background Kernel row number (KRN) is an important trait for the domestication and
improvement of maize. Exploring the genetic basis of KRN has great research significance …

We compared the performance of two commonly used genotyping platforms, genotyping-by-
sequencing (GBS) and single nucleotide polymorphism-arrays (SNP), to investigate the …