ArticleGenes & genomics2019
Construction of genetic linkage map and identification of QTLs related to agronomic traits in DH population of maize (Zea mays L.) using SSR markers.
Article in Genes & genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- A Review of Research Progress in Rice Anther Culture.Current issues in molecular biology · 2025Review
- Genetic Architecture and Meta-QTL Identification of Yield Traits in Maize (Plants (Basel, Switzerland) · 2025Article
- Association Mapping Analysis of Morphological Characteristics in FPlants (Basel, Switzerland) · 2025Article
- Meta-QTL Analysis and Genes Responsible for Plant and Ear Height in Maize (Plants (Basel, Switzerland) · 2025Article
- Genetic Mapping of QTL Associated with 100-Kernel Weight Using a DH Population in Maize.Plants (Basel, Switzerland) · 2025Article
- Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize.International journal of molecular sciences · 2024Article
- Association Mapping of Seed Coat Color Characteristics for Near-Isogenic Lines of Colored Waxy Maize Using Simple Sequence Repeat Markers.Plants (Basel, Switzerland) · 2024Article
- GWAS and Meta-QTL Analysis of Yield-Related Ear Traits in Maize.Plants (Basel, Switzerland) · 2023Article
- Article
- The Era of Plant Breeding: Conventional Breeding to Genomics-assisted Breeding for Crop Improvement.Current genomics · 2023Review
- QTL Mapping and a Transcriptome Integrative Analysis Uncover the Candidate Genes That Control the Cold Tolerance of Maize Introgression Lines at the Seedling Stage.International journal of molecular sciences · 2023Article
- QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.International journal of molecular sciences · 2022Review
- Mapping of QTL for agronomic traits using high-density SNPs with an RIL population in maize.Genes & genomics · 2021Article
- Identifying SSR Markers Related to Seed Fatty Acid Content inPlants (Basel, Switzerland) · 2021Article
- The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species.BMC plant biology · 2021Article
- Genetic characterization and association mapping in near-isogenic lines of waxy maize using seed characteristics and SSR markers.Genes & genomics · 2021Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn this study, we used phenotypic and genetic analysis to investigate Double haploid (DH) lines derived from normal corn parents (HF1 and 11S6169). DH technology offers an array of advantages in maize genetics and breeding as follows: first, it significantly shortens the breeding cycle by development of completely homozygous lines in two or three generations; and second, it simplifies logistics, including requiring less time, labor, and financial resources for developing new DH lines compared with the conventional RIL population development process.
objectivesIn our study, we constructed a maize genetic linkage map using SSR markers and a DH population derived from a cross of normal corn (HF1) and normal corn (11S6169).
methodsThe DH population used in this study was developed by the following methods: we crossed normal corn (HF1) and normal corn (11S6169), which are parent lines of a normal corn cultivar, in 2014; and the next year, the F
resultsA total of 200 SSR markers were assigned to 10 linkage groups that spanned 1145.4 cM with an average genetic distance between markers of 5.7 cM. 68 SSR markers showed Mendelian segregation ratios in the DH population at a 5% significance threshold. A total of 15 quantitative trait loci (QTLs) for plant height (PH), ear height (EH), ear height ratio (ER), leaf length (LL), ear length (EL), set ear length (SEL), set ear ratio (SER), ear width (EW), 100 kernel weight (100 KW), and cob color (CC) were found in the 121 lines in the DH population.
conclusionThe results of this study may help to improve the detection and characterization of agronomic traits and provide great opportunities for maize breeders and researchers using a DH population in maize breeding programs.
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