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Genetic Dissection

Genetic Dissection of Yield-Related Traits in a Set of Maize Recombinant Inbred Lines Under Multiple Environments


Agronomic advancements have led to significant increases in maize yield per hectare in Northeast China, primarily through improved density tolerance. However, the genetic mechanism underlying grain yield responses to density stress remains poorly understood. Here, a population of 193 recombinant inbred lines (RILs) derived from the cross between ZM058 and PH1219 was employed to identify quantitative trait loci (QTLs) under two planting densities across three locations over two years.
Six yield-related traits were investigated: ear tip-barrenness length (BEL), cob diameter (CD), ear diameter (ED), ear length (EL), kernel number per row (KNR), and kernel row number (KRN). 

These traits exhibited distinct and divergent responses to density stress, with the values of CD, ED, EL, KNR and KRN decreasing as planting density increased, except for BEL. A total of 81 QTLs were identified for these traits: 39 were unique to low planting density, 22 to high planting density, and 20 were shared across both conditions. Additionally, nine QTL clusters implicated in the development of multiple traits were detected.
 
The results indicate that planting density significantly affects yield traits, primarily through the interaction of numerous minor QTLs with multiple effects. This insight enhances our understanding of the genetic basis of yield-related traits and provides valuable guidance for breeding high-density-tolerant varieties.

Genetic dissection, gene mapping, functional genomics, CRISPR-Cas9, mutagenesis, forward genetics, reverse genetics, transgenic models, knockout studies, QTL analysis, GWAS, epistasis, model organisms, regulatory networks, phenotype-genotype correlation, allelic variation, molecular markers, genome editing, heritability, polygenic traits

#GeneticDissection, #GeneMapping, #FunctionalGenomics, #CRISPR, #Mutagenesis, #ForwardGenetics, #ReverseGenetics, #TransgenicModels, #KnockoutStudies, #QTLAnalysis, #GWAS, #Epistasis, #ModelOrganisms, #RegulatoryNetworks, #PhenotypeGenotype, #AllelicVariation, #GenomeEditing, #Heritability, #PolygenicTraits, #GenomicsResearch

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