Evidence map›Paper›PMID 37743492›Full record

ArticleBMC plant biology2023

Exploring root system architecture and anatomical variability in alfalfa (Medicago sativa L.) seedlings.

Xinya Pan, Pengfei Wang, Xianwei Wei, Jinxin Zhang, Bingcheng Xu, Yinglong Chen, Gehong Wei, Zhi Wang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

8 authors at 2 institutions in 2 countries.

Xinya PanCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China.
Pengfei WangCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China.
Xianwei WeiCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China.
Jinxin ZhangCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China.
Bingcheng XuCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China.
Yinglong ChenThe UWA Institute of Agriculture, School of Agriculture and Environment, The University of Western Australia, Perth, WA, 6001, Australia.
Gehong WeiCollege of Life Sciences, Northwest A&F University, 22 Xinong Road, Yangling, 712100, China.
Zhi WangCollege of Grassland Agriculture, Northwest A&F University, 3 Taicheng Road, Yangling, 712100, China. wangzhi712@nwafu.edu.cn.
Northwest A&F University · CNThe University of Western Australia · AU

Funding

Key Project of Forestry Science and Technology Innovation of Shaanxi Province, China SXLK2022-02-12National Natural Science Foundation of China 31700335Ordos City Science and Technology Planning Project, China 2022YY012Youth Project of the Natural Science Basic Research Program of Shaanxi Province, China 2020JQ-264
6 · The paper itself

Abstract

backgroundThe growth of alfalfa (Medicago sativa L.) is significantly hampered by drought and nutrient deficiencies. The identification of root architectural and anatomical characteristics holds paramount importance for the development of alfalfa genotypes with enhanced adaptation to adverse environmental conditions. In this study, we employed a visual rhizobox system to investigate the variability in root system architecture (including root depth, root length, root tips number, etc.), anatomical features (such as cortical traits, total stele area, number and area of vessel, etc.), as well as nitrogen and phosphorus uptake across 53 alfalfa genotypes during the seedling stage.

resultsOut of the 42 traits measured, 21 root traits, along with nitrogen (N) and phosphorus (P) uptake, displayed higher coefficients of variation (CVs ≥ 0.25) among the tested genotypes. Local root morphological and anatomical traits exhibited more significant variation than global root traits. Twenty-three traits with CVs ≥ 0.25 constituted to six principal components (eigenvalues > 1), collectively accounting for 88.0% of the overall genotypic variation. Traits such as total root length, number of root tips, maximal root depth, and others exhibited positive correlations with shoot dry mass and root dry mass. Additionally, total stele area and xylem vessel area showed positive correlations with N and P uptake.

conclusionsThese root traits, which have demonstrated associations with biomass and nutrient uptake, may be considered for the breeding of alfalfa genotypes that possess efficient resource absorption and increased adaptability to abiotic stress, following validation during the entire growth period in the field.

Indexed as

Medicago sativaSeedlingsNitrogenPhosphorusPlant BreedingNitrogenPhosphorusAlfalfaRoot anatomical traitsRoot system architectureVariabilityVisual rhizobox

Identifiers

PMID37743492
PMCPMC10519072
OpenAlexW4387003220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.