Yellow Lupin Flowering Time QTL Mapping Data from Greenhouse Trials

A recombinant inbred line population of yellow lupin (Lupinus luteus L.) was phenotyped for flowering time across three spring seasons (2022-2024) under long-day and short-day photoperiods. The dataset, authored by Ishani Dogra and shared on figshare, contains results from quantitative trait locus (QTL) mapping, identifying a major QTL explaining up to 34% of phenotypic variance. Genotyping was performed using DArT-seq, and a linkage map with 1,448 loci was constructed.

Use Cases

• Identify candidate genes for flowering time regulation based on QTL co-localization with known genes like LlutFTc1.
• Study genotype-by-environment interactions using phenotypic variance explained under different photoperiods.
• Validate molecular markers for plant breeding, such as the 2,227 bp indel marker from the LlutFTc1 promoter.
• Analyze genetic linkage and collinearity in yellow lupin using the map of 1,448 loci across 26 pseudochromosomes.

Strengths

• Phenotypic data spans multiple growing seasons (2022-2024) and two photoperiod conditions.
• Genetic analysis is based on a linkage map comprising 1,448 loci anchoring all 26 yellow lupin pseudochromosomes.
• A major QTL on chromosome YL-16 was consistently significant, explaining up to 34% of phenotypic variance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The linkage map is described as moderately fragmented, with 63 linkage groups versus 26 chromosomes.

Provenance

Source

figshare, author Ishani Dogra.

Collection Method

Data likely originates from greenhouse phenotyping and DArT-seq genotyping of a recombinant inbred line population.

Time Range

Phenotyping occurred during spring seasons 2022-2024 and a winter season 2023/4.

Freshness

Last updated 2026-04-23 05:36:14; freshness should be verified.