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The Genetic Architecture of Maize Stalk Strength
- Source :
- PLoS ONE, Vol 8, Iss 6, p e67066 (2013), PLoS ONE
- Publication Year :
- 2013
- Publisher :
- Public Library of Science (PLoS), 2013.
-
Abstract
- Stalk strength is an important trait in maize (Zea mays L.). Strong stalks reduce lodging and maximize harvestable yield. Studies show rind penetrometer resistance (RPR), or the force required to pierce a stalk rind with a spike, is a valid approximation of strength. We measured RPR across 4,692 recombinant inbreds (RILs) comprising the maize nested association mapping (NAM) panel derived from crosses of diverse inbreds to the inbred, B73. An intermated B73×Mo17 family (IBM) of 196 RILs and a panel of 2,453 diverse inbreds from the North Central Regional Plant Introduction Station (NCRPIS) were also evaluated. We measured RPR in three environments. Family-nested QTL were identified by joint-linkage mapping in the NAM panel. We also performed a genome-wide association study (GWAS) and genomic best linear unbiased prediction (GBLUP) in each panel. Broad sense heritability computed on a line means basis was low for RPR. Only 8 of 26 families had a heritability above 0.20. The NCRPIS diversity panel had a heritability of 0.54. Across NAM and IBM families, 18 family-nested QTL and 141 significant GWAS associations were identified for RPR. Numerous weak associations were also found in the NCRPIS diversity panel. However, few were linked to loci involved in phenylpropanoid and cellulose synthesis or vegetative phase transition. Using an identity-by-state (IBS) relationship matrix estimated from 1.6 million single nucleotide polymorphisms (SNPs) and RPR measures from 20% of the NAM panel, genomic prediction by GBLUP explained 64±2% of variation in the remaining RILs. In the NCRPIS diversity panel, an IBS matrix estimated from 681,257 SNPs and RPR measures from 20% of the panel explained 33±3% of variation in the remaining inbreds. These results indicate the high genetic complexity of stalk strength and the potential for genomic prediction to hasten its improvement.
- Subjects :
- 0106 biological sciences
Genetic Linkage
Population genetics
Plant Science
Plant Genetics
01 natural sciences
Natural Selection
Plant Genomics
Nested association mapping
2. Zero hunger
Genetics
0303 health sciences
Multidisciplinary
Plant Stems
food and beverages
Agriculture
Genomics
Biomechanical Phenomena
Phenotype
Medicine
Inbreeding
Genome, Plant
Research Article
Science
Quantitative Trait Loci
Cereals
Crops
Single-nucleotide polymorphism
Quantitative trait locus
Best linear unbiased prediction
Biology
Polymorphism, Single Nucleotide
Zea mays
03 medical and health sciences
Genome Analysis Tools
Crosses, Genetic
Genetic Association Studies
030304 developmental biology
Crop Genetics
Linkage Maps
Heritability
Agronomy
Genetic architecture
Biofuels
Genetic Polymorphism
Population Genetics
010606 plant biology & botany
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....294108375c65aca4f692b138fa4c1d32
- Full Text :
- https://doi.org/10.1371/journal.pone.0067066