Evidence map›Paper›PMID 40508055›Full record

ArticleInternational journal of molecular sciences2025

Simple Sequence Repeat-Based Genetic Diversity Analysis of Alfalfa Varieties.

Jie Wang, Xiaoli Wei, Changying Guo, Chengti Xu, Yuanyuan Zhao, Xiaojian Pu, Wei Wang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. ISSR-Based Genetic Diversity and Structure ofLife (Basel, Switzerland) · 2025
    Article
4 · The record

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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

7 authors.

Jie WangAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.ORCID 0000-0002-8933-0190
Xiaoli WeiAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.
Changying GuoAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.
Chengti XuAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.
Yuanyuan ZhaoAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.ORCID 0000-0002-8185-4395
Xiaojian PuAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.
Wei WangAcademy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810016, China.

Funding

Science and Technology Department of Qinghai Province 2023-NK-A3
6 · The paper itself

Abstract

Alfalfa, as a high-quality forage resource, has high nutritional value. Due to the high phenotypic similarity among its varieties and the susceptibility to environmental influences, challenges are encountered in variety identification and breeding. In this study, 23 simple sequence repeat (SSR) markers were screened to distinguish 49 alfalfa varieties, among which 21 SSR markers showed polymorphic fragments. The results indicated that these 21 markers were highly polymorphic, with an average of 5.91 alleles per SSR marker locus and an average polymorphic information content (PIC) of 0.66, suggesting a strong discriminatory efficiency. The results of a population genetic diversity analysis showed that there was a relatively high level of genetic diversity among the tested materials. The analysis of molecular variance (AMOVA) results indicated that the genetic variation within the population of the 49 alfalfa germplasm samples was the main source of the total variation. The results of genetic distance and genetic identity analyses showed that the genetic relationship between population 1 and population 4 was the most distant, while the relationship between population 2 and population 3 was the closest. The cluster analysis results showed that samples S16 and S55 formed a separate branch; that is, there were two main genetic subgroups. These results confirm that SSR markers are effective tools for genetic characterization and precise discrimination of alfalfa varieties and have important application values in breeding, variety registration, and germplasm resource conservation.

Indexed as

Genetic VariationMedicago sativaMicrosatellite RepeatsAllelesGenetic MarkersPhylogenyPolymorphism, GeneticGenetic Markersalfalfaforage breedingSSR

Identifiers

PMID40508055
PMCPMC12154066

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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.