Evidence map›Paper›PMID 39807345›Full record

ArticleHorticulture research2025

The whole-genome dissection of root system architecture provides new insights for the genetic improvement of alfalfa (

Xueqian Jiang, Xiangcui Zeng, Ming Xu, Mingna Li, Fan Zhang, Fei He, Tianhui Yang, Chuan Wang, Ting Gao, Ruicai Long and 2 more

Abstract read
In one paragraph

Article in Horticulture research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Understanding the genetics of root system architecture in pigeonpea [Cajanus cajan (L.) Millsp.].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
    Review
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

12 authors.

Xueqian JiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Xiangcui ZengInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Ming XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Mingna LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Fan ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.ORCID https://orcid.org/0000-0002-8495-7779
Fei HeInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Tianhui YangInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China, 750000.
Chuan WangInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China, 750000.
Ting GaoInstitute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, Ningxia, China, 750000.
Ruicai LongInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Qingchuan YangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Junmei KangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate root system architecture (RSA) can improve alfalfa yield, yet its genetic basis remains largely unexplored. This study evaluated six RSA traits in 171 alfalfa genotypes grown under controlled greenhouse conditions. We also analyzed five yield-related traits in normal and drought stress environments and found a significant correlation (0.50) between root dry weight (RDW) and alfalfa dry weight under normal conditions (N_DW). A genome-wide association study (GWAS) was performed using 1 303 374 single-nucleotide polymorphisms (SNPs) to explore the relationships between RSA traits. Sixty significant SNPs (-log

Identifiers

PMID39807345
PMCPMC11725648

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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.