Evidence map›Paper›PMID 37119337›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

Identification of genetic loci associated with five agronomic traits in alfalfa using multi-environment trials.

Sen Lin, Cesar A Medina, Guojie Wang, David Combs, Glenn Shewmaker, Steve Fransen, Don Llewellyn, Steven Norberg, Long-Xi Yu

Abstract read
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Genome-Wide Association and Genomic Prediction of Alfalfa (International journal of molecular sciences · 2025
    Article
  3. Article
  4. Discovering new genes for alfalfa (Frontiers in plant science · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Sen Lin *USA Department of Agriculture - Agricultural Research Service, Plant Germplasm Introduction and Testing Research, Prosser, WA, USA.
Cesar A Medina *USA Department of Agriculture - Agricultural Research Service, Plant Germplasm Introduction and Testing Research, Prosser, WA, USA.
Guojie WangDepartment of Crop and Soil Science, Oregon State University, LaGrande, OR, USA.
David CombsDepartment of Dairy Science, University of Wisconsin-Madison, Madison, WI, USA.
Glenn ShewmakerUniversity of Idaho, Kimberly, ID, USA.
Steve FransenIrrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA, USA.
Don LlewellynDepartment of Animal Sciences, Washington State University, Pullman, WA, USA.
Steven NorbergFranklin County Extension Office, Washington State University, Pasco, WA, USA. s.norberg@wsu.edu.
Long-Xi YuUSA Department of Agriculture - Agricultural Research Service, Plant Germplasm Introduction and Testing Research, Prosser, WA, USA. longxi.yu@usda.gov.ORCID http://orcid.org/0000-0003-3132-3155
Agricultural Research Service · USWashington State University · USOregon State University · USUniversity of Idaho · USUniversity of Wisconsin–Madison · US

Funding

Agricultural Research Service WN.N1678
6 · The paper itself

Abstract

key messageThe use of multi-environment trials to test yield-related traits in a diverse alfalfa panel allowed to find multiple molecular markers associated with complex agronomic traits. Yield is one of the most important target traits in alfalfa breeding; however, yield is a complex trait affected by genetic and environmental factors. In this study, we used multi-environment trials to test yield-related traits in a diverse panel composed of 200 alfalfa accessions and varieties. Phenotypic data of maturity stage measured as mean stage by count (MSC), dry matter content, plant height (PH), biomass yield (Yi), and fall dormancy (FD) were collected in three locations in Idaho, Oregon, and Washington from 2018 to 2020. Single-trial and stagewise analyses were used to obtain estimated trait means of entries by environment. The plants were genotyped using a genotyping by sequencing approach and obtained a genotypic matrix with 97,345 single nucleotide polymorphisms. Genome-wide association studies identified a total of 84 markers associated with the traits analyzed. Of those, 29 markers were in noncoding regions and 55 markers were in coding regions. Ten significant SNPs at the same locus were associated with FD and they were linked to a gene annotated as a nuclear fusion defective 4-like (NFD4). Additional SNPs associated with MSC, PH, and Yi were annotated as transcription factors such as Cysteine3Histidine (C3H), Hap3/NF-YB family, and serine/threonine-protein phosphatase 7 proteins, respectively. Our results provide insight into the genetic factors that influence alfalfa maturity, yield, and dormancy, which is helpful to speed up the genetic gain toward alfalfa yield improvement.

Indexed as

Genome-Wide Association StudyMedicago sativaPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID37119337
OpenAlexW4367368650

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.