Evidence map›Paper›PMID 34876178›Full record

ArticlePlant methods2021

Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.).

Bruna Bucciarelli, Zhanyou Xu, Samadangla Ao, Yuanyuan Cao, Maria J Monteros, Christopher N Topp, Deborah A Samac

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Phenotyping Alfalfa (Plant phenomics (Washington, D.C.) · 2024
    Article
  10. Article
  11. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  12. 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

7 authors at 4 institutions in 3 countries.

Bruna BucciarelliDepartment of Agronomy and Plant Genetics, University of Minnesota, 1991 Upper Buford Circle, St. Paul, MN, 55108, USA.
Zhanyou XuUSDA-ARS, Plant Science Research Unit, 1991 Upper Buford Circle, St. Paul, MN, 55108, USA.
Samadangla AoDepartment of Agronomy and Plant Genetics, University of Minnesota, 1991 Upper Buford Circle, St. Paul, MN, 55108, USA.
Yuanyuan CaoDepartment of Plant Pathology, University of Minnesota, 1991 Upper Buford Circle, 495 Borlaug Hall, St. Paul, MN, 55108, USA.
Maria J MonterosNoble Research Institute, 2510 Sam Noble Parkway, Ardmore, OK, 73401, USA.
Christopher N ToppDonald Danforth Plant Science Center, 975 N Warson Road, Olivette, MO, 63132, USA.
Deborah A SamacUSDA-ARS, Plant Science Research Unit, 1991 Upper Buford Circle, St. Paul, MN, 55108, USA. debby.samac@usda.gov.ORCID https://orcid.org/0000-0002-1847-0508
University of Minnesota · USAgricultural Research Service · USBayer (United States) · USDonald Danforth Plant Science Center · US

Funding

agricultural research service 5062-12210-002-00Dnational institute of food and agriculture 2014-70005-22543
6 · The paper itself

Abstract

backgroundThe root system architecture (RSA) of alfalfa (Medicago sativa L.) affects biomass production by influencing water and nutrient uptake, including nitrogen fixation. Further, roots are important for storing carbohydrates that are needed for regrowth in spring and after each harvest. Previous selection for a greater number of branched and fibrous roots significantly increased alfalfa biomass yield. However, phenotyping root systems of mature alfalfa plant is labor-intensive, time-consuming, and subject to environmental variability and human error. High-throughput and detailed phenotyping methods are needed to accelerate the development of alfalfa germplasm with distinct RSAs adapted to specific environmental conditions and for enhancing productivity in elite germplasm. In this study methods were developed for phenotyping 14-day-old alfalfa seedlings to identify measurable root traits that are highly heritable and can differentiate plants with either a branched or a tap rooted phenotype. Plants were grown in a soil-free mixture under controlled conditions, then the root systems were imaged with a flatbed scanner and measured using WinRhizo software.

resultsThe branched root plants had a significantly greater number of tertiary roots and significantly longer tertiary roots relative to the tap rooted plants. Additionally, the branch rooted population had significantly more secondary roots > 2.5 cm relative to the tap rooted population. These two parameters distinguishing phenotypes were confirmed using two machine learning algorithms, Random Forest and Gradient Boosting Machines. Plants selected as seedlings for the branch rooted or tap rooted phenotypes were used in crossing blocks that resulted in a genetic gain of 10%, consistent with the previous selection strategy that utilized manual root scoring to phenotype 22-week-old-plants. Heritability analysis of various root architecture parameters from selected seedlings showed tertiary root length and number are highly heritable with values of 0.74 and 0.79, respectively.

conclusionsThe results show that seedling root phenotyping is a reliable tool that can be used for alfalfa germplasm selection and breeding. Phenotypic selection of RSA in seedlings reduced time for selection by 20 weeks, significantly accelerating the breeding cycle.

Indexed as

AlfalfaBranch rootRoot system architectureSeedling phenotypingTap root

Identifiers

PMID34876178
PMCPMC8650460
OpenAlexW4200247654

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.