ArticleJournal of experimental botany2022
The genetic architecture of flowering time changes in pea from wild to crop.
Article in Journal of experimental botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- New components in genetic regulation of age-dependent compound leaf architecture in pea.The New phytologist · 2026Article
- Beyond the CO-FT regulatory module: E1 and PHYA emerge as players in photoperiodic regulation of flowering in legumes.Journal of experimental botany · 2026Review
- Article
- Comprehensive identification of the PEBP gene family in Vicia faba highlighting VfTFL1a variation and phenotypic insights into determinate growth.Scientific reports · 2025Article
- Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025Review
- Innovations in functional genomics and molecular breeding of pea: exploring advances and opportunities.aBIOTECH · 2024Review
- Physical seed dormancy in pea is genetically separable from seed coat thickness and roughness.Frontiers in plant science · 2024Article
- Article
- Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes.Frontiers in artificial intelligence · 2023Article
- Mendel: From genes to genome.Plant physiology · 2022Article
- Mechanisms of Vernalization-Induced Flowering in Legumes.International journal of molecular sciences · 2022Review
- Putting the pea in photoPEAriod.Journal of experimental botany · 2022Article
Corrections and comments
- Commented on by
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Change in phenology has been an important component in crop evolution, and selection for earlier flowering through a reduction in environmental sensitivity has helped broaden adaptation in many species. Natural variation for flowering in domesticated pea (Pisum sativum L.) has been noted and studied for decades, but there has been no clear account of change relative to its wild progenitor. Here we examined the genetic control of differences in flowering time between wild P. sativum ssp. humile and a typical late-flowering photoperiodic P. s. sativum accession in a recombinant inbred population under long and short photoperiods. Our results confirm the importance of the major photoperiod sensitivity locus Hr/PsELF3a and identify two other loci on chromosomes 1 (DTF1) and 3 (DTF3) that contribute to earlier flowering in the domesticated line under both photoperiods. The domesticated allele at a fourth locus on chromosome 6 (DTF6) delays flowering under long days only. Map positions, inheritance patterns, and expression analyses in near-isogenic comparisons imply that DTF1, DTF3, and DTF6 represent gain-of-function alleles of the florigen/antiflorigen genes FTa3, FTa1, and TFL1c/LF, respectively. This echoes similar variation in chickpea and lentil, and suggests a conserved route to reduced photoperiod sensitivity and early phenology in temperate pulses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.