Evidence map›Paper›PMID 34220880›Full record

ArticleFrontiers in plant science2021

Genome-Wide Association Studies Identifying Multiple Loci Associated With Alfalfa Forage Quality.

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Discovering new genes for alfalfa (Frontiers in plant science · 2024
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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 6 institutions in 1 country.

Sen LinPlant Germplasm Introduction Testing and Research, Agricultural Research Service, United States Department of Agriculture, Prosser, WA, United States.
Cesar Augusto MedinaPlant Germplasm Introduction Testing and Research, Agricultural Research Service, United States Department of Agriculture, Prosser, WA, United States.
O Steven NorbergFranklin County Extension Office, Washington State University, Pasco, WA, United States.
David CombsDepartment of Dairy Science, University of Wisconsin, Madison, WI, United States.
Guojie WangEastern Oregon Agricultural and Natural Resource Program, Oregon State University, La Grande, OR, United States.
Glenn ShewmakerKimberly R&E Center, University of Idaho, Kimberly, ID, United States.
Steve FransenIrrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA, United States.
Don LlewellynDepartment of Animal Sciences, Washington State University, Pullman, WA, United States.
Long-Xi YuPlant Germplasm Introduction Testing and Research, Agricultural Research Service, United States Department of Agriculture, Prosser, WA, United States.
Washington State University · USAgricultural Research Service · USOregon State University · USUnited States Department of Agriculture · USUniversity of Idaho · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autotetraploid alfalfa is a major hay crop planted all over the world due to its adaptation in different environments and high quality for animal feed. However, the genetic basis of alfalfa quality is not fully understood. In this study, a diverse panel of 200 alfalfa accessions were planted in field trials using augmented experimental design at three locations in 2018 and 2019. Thirty-four quality traits were evaluated by Near Infrared Reflectance Spectroscopy (NIRS). The plants were genotyped using a genotyping by sequencing (GBS) approach and over 46,000 single nucleotide polymorphisms (SNPs) were obtained after variant calling and filtering. Genome-wide association studies (GWAS) identified 28 SNP markers associated with 16 quality traits. Among them, most of the markers were associated with fiber digestibility and protein content. Phenotypic variations were analyzed from three locations and different sets of markers were identified by GWAS when using phenotypic data from different locations, indicating that alfalfa quality traits were also affected by environmental factors. Among different sets of markers identified by location, two markers were associated with nine traits of fiber digestibility. One marker associated with lignin content was identified consistently in multiple environments. Putative candidate genes underlying fiber-related loci were identified and they are involved in the lignin and cell wall biosynthesis. The DNA markers and associated genes identified in this study will be useful for the genetic improvement of forage quality in alfalfa after the validation of the markers.

Indexed as

alfalfaforage qualityGBSGWASmarkers

Identifiers

PMID34220880
PMCPMC8253570
OpenAlexW3177423529

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.