ArticleFrontiers in plant science2019
Major QTLs for Resistance to Early and Late Leaf Spot Diseases Are Identified on Chromosomes 3 and 5 in Peanut (
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 62 citations in OpenAlex.
- KhufuEnv, an auxiliary toolkit for building computational pipelines for plant and animal breeding.BMC bioinformatics · 2026Article
- Construction of an introgression line population for cultivated peanut (Frontiers in plant science · 2026Article
- Whole genome-wide association study reveals genetic insights into leaf spot disease resistances and seed germination/dormancy in peanut.Frontiers in plant science · 2026Article
- Aerial imagery and Segment Anything Model for architectural trait phenotyping to support genetic analysis in peanut breeding.Plant phenomics (Washington, D.C.) · 2025Article
- CRISPR-Mediated Genome Editing in Peanuts: Unlocking Trait Improvement for a Sustainable Future.Plants (Basel, Switzerland) · 2025Review
- Effects of microbial agent and microbial fertilizer input on soil microbial community structure and diversity in a peanut continuous cropping system.Journal of advanced research · 2024Article
- High-density bin-based genetic map reveals a 530-kb chromosome segment derived from wild peanut contributing to late leaf spot resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Genetic diversity, disease resistance, and environmental adaptation of Arachis duranensis L.: New insights from landscape genomics.PloS one · 2024Article
- Review
- Genome-wide association mapping for LLS resistance in a MAGIC population of groundnut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Advances in omics research on peanut response to biotic stresses.Frontiers in plant science · 2023Review
- Marker-assisted introgression of wild chromosome segments conferring resistance to fungal foliar diseases into peanut (Frontiers in plant science · 2023Article
- Genetic mapping identifies genomic regions and candidate genes for seed weight and shelling percentage in groundnut.Frontiers in genetics · 2023Article
- A first insight into the genetics of maturity trait in Runner × Virginia types peanut background.Scientific reports · 2022Article
- Application of CRISPR/Cas9 System for Efficient Gene Editing in Peanut.Plants (Basel, Switzerland) · 2022Article
- Multi-locus genome-wide association studies reveal genomic regions and putative candidate genes associated with leaf spot diseases in African groundnut (Frontiers in plant science · 2022Article
- Identification of consistent QTL for time to maturation in Virginia-type Peanut (Arachis hypogaea L.).BMC plant biology · 2021Article
- Nested-association mapping (NAM)-based genetic dissection uncovers candidate genes for seed and pod weights in peanut (Arachis hypogaea).Plant biotechnology journal · 2020Article
- Translational genomics for achieving higher genetic gains in groundnut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early and late leaf spots (LLSs) are the major foliar diseases of peanut responsible for severely decreased yield in the absence of intensive fungicide spray programs. Pyramiding host resistance to leaf spots in elite cultivars is a sustainable solution to mitigate the diseases. In order to determine the genetic control of leaf spot disease resistance in peanut, a recombinant inbred line population (Florida-07 × GP-NC WS16) segregating for resistance to both diseases was used to construct a SNP-based linkage map consisting of 855 loci. QTL mapping revealed three resistance QTLs for LLS
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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.