ArticleJournal of applied genetics2009
Influence of dent corn genetic backgrounds on QTL detection for plant-height traits and their relationships in high-oil maize.
Article in Journal of applied genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 24 citations in OpenAlex.
- Mining of Oil Content Genes in Recombinant Maize Inbred Lines with Introgression from Temperate and Tropical Germplasm.International journal of molecular sciences · 2024Article
- Genetic dissection of QTLs for oil content in four maize DH populations.Frontiers in plant science · 2023Article
- Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers.Genes & genomics · 2019Article
- Identification of minor effect QTLs for plant architecture related traits using super high density genotyping and large recombinant inbred population in maize (Zea mays).BMC plant biology · 2018Article
- QTL Mapping for Yield and Resistance against Mediterranean Corn Borer in Maize.Frontiers in plant science · 2017Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
QTL mapping for plant-height traits has not been hitherto reported in high-oil maize. A high-oil maize inbred 'GY220' was crossed with two dent maize inbreds ('8984' and '8622') to generate two connected F2:3 populations. Four plant-height traits were evaluated in 284 and 265 F2:3 families. Single-trait QTL mapping and multiple-trait joint QTL mapping was used to detect QTLs for the traits and the genetic relationship between plant height (PH) and two other plant-height traits. A total of 28 QTLs and 12 pairs of digenic interactions among detected QTLs for four traits were detected in the two F2:3 families. Only one marker was shared between the two populations. Joint analysis of PH with ear height (EH) and PH with top height (TH) detected 32 additional QTLs. Our results showed that QTL detection for PH was dependent on the genetic background of dent corn inbreds. Multiple-trait joint QTL analysis could increase the number of detected QTLs.
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