ArticleBMC plant biology2019
QTL mapping of flowering time and biomass yield in tetraploid alfalfa (Medicago sativa L.).
Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 42 citations in OpenAlex.
- Alfalfa andPhysiology and molecular biology of plants : an international journal of functional plant biology · 2026Article
- Polyploidy and Mutagenic Germplasm Innovation in Minor Legumes: Paradigm Shift and Challenges from Model Crops to Mung Bean.Plants (Basel, Switzerland) · 2026Review
- BIGapp: A user-friendly genomic tool kit identified quantitative trait loci for creeping rootedness in alfalfa (Medicago sativa L.).The plant genome · 2025Article
- Forage Crop Research in the Modern Age.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Effects of SNP marker density and training population size on prediction accuracy in alfalfa (Medicago sativa L.) genomic selection.The plant genome · 2024Article
- Genomic prediction for complex traits across multiples harvests in alfalfa (Medicago sativa L.) is enhanced by enviromics.The plant genome · 2023Article
- CRISPR/Cas9-mediated knockout of a polyester synthase-like gene delays flowering time in alfalfa.Plant cell reports · 2023Article
- Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development.BMC plant biology · 2022Article
- Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks.The plant genome · 2022Article
- Silencing of MsD14 Resulted in Enhanced Forage Biomass through Increasing Shoot Branching in Alfalfa (Plants (Basel, Switzerland) · 2022Article
- Controlling flowering of Medicago sativa (alfalfa) by inducing dominant mutations.Journal of integrative plant biology · 2022Article
- Genome Assembly of Alfalfa Cultivar Zhongmu-4 and Identification of SNPs Associated with Agronomic Traits.Genomics, proteomics & bioinformatics · 2022Article
- A Genome-Wide Association Study Coupled With a Transcriptomic Analysis Reveals the Genetic Loci and Candidate Genes Governing the Flowering Time in Alfalfa (Frontiers in plant science · 2022Article
- RAD-Seq-Based High-Density Linkage Maps Construction and Quantitative Trait Loci Mapping of Flowering Time Trait in Alfalfa (Frontiers in plant science · 2022Article
- Mapping freezing tolerance QTL in alfalfa: based on indoor phenotyping.BMC plant biology · 2021Article
- Validation of UAV-based alfalfa biomass predictability using photogrammetry with fully automatic plot segmentation.Scientific reports · 2021Article
- Identification and characterization of regulatory pathways involved in early flowering in the new leaves of alfalfa (Medicago sativa L.) by transcriptome analysis.BMC plant biology · 2021Article
- Characterization of Squamosa-Promoter Binding Protein-Box Family Genes Reveals the Critical Role ofFrontiers in plant science · 2021Article
- Genome-Wide Association Study Reveals Candidate Genes for Flowering Time in Cowpea (Frontiers in genetics · 2021Article
- Phenomics-Assisted Selection for Herbage Accumulation in Alfalfa (Frontiers in plant science · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe genetic and genomic basis of flowering time and biomass yield in alfalfa (Medicago sativa L.) remains poorly understood mainly due to the autopolyploid nature of the species and the lack of adequate genomic resources. We constructed linkage maps using genotyping-by-sequencing (GBS) based single dose allele (SDA) SNP and mapped alfalfa timing of flowering (TOF), spring yield (SY), and cumulative summer biomass (CSB) in a pseudo-testcross F1 population derived from a fall dormant (3010) and a non-dormant (CW 1010) cultivars. We analyzed the quantitative trait loci (QTL) to identify conserved genomic regions and detected molecular markers and potential candidate genes associated with the traits to improve alfalfa and provide genomic resources for the future studies.
resultsThis study showed that both fall dormant and non-dormant alfalfa cultivars harbored QTL for early and late flowering, suggesting that flowering time in alfalfa is not an indicator of its fall dormancy (FD) levels. A weak phenotypic correlation between the flowering time and fall dormancy (FD) in F1 and checks also corroborated that alfalfa FD and TOF are not the predictors of one another. The relationship between flowering time and alfalfa biomass yield was not strong, but the non-dormant had relatively more SY than dormant. Therefore, selecting superior alfalfa cultivars that are non-dormant, winter-hardy, and early flowering would allow for an early spring harvest with enhanced biomass. In this study, we found 25 QTL for TOF, 17 for SY and six QTL for CSB. Three TOF related QTL were stable and four TOF QTL were detected in the corresponding genomic locations of the flowering QTL of M. truncatula, an indication of possible evolutionarily conserved regions. The potential candidate genes for the SNP sequences of QTL regions were identified for all three traits and these genes would be potential targets for further molecular studies.
conclusionsThis research showed that variation in alfalfa flowering time after spring green up has no association with dormancy levels. Here we reported QTL, markers, and potential candidate genes associated with spring flowering time and biomass yield of alfalfa, which constitute valuable genomic resources for improving these traits via marker-assisted selection (MAS).
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