Evidence map›Paper›PMID 33679823›Full record

ArticleFrontiers in plant science2021

Identification of Promising RILs for High Grain Zinc Through Genotype × Environment Analysis and Stable Grain Zinc QTL Using SSRs and SNPs in Rice (

K Suman, C N Neeraja, P Madhubabu, Santosha Rathod, Sonali Bej, K P Jadhav, J Aravind Kumar, U Chaitanya, Smita C Pawar, Surekha H Rani and 2 more

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.9field-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

11 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Genomic prediction and QTL analysis for grain Zn content and yield inJournal of plant biochemistry and biotechnology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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 at 2 institutions in 1 country.

K SumanICAR-Indian Institute of Rice Research, Hyderabad, India.
C N NeerajaICAR-Indian Institute of Rice Research, Hyderabad, India.
P MadhubabuICAR-Indian Institute of Rice Research, Hyderabad, India.
Santosha RathodICAR-Indian Institute of Rice Research, Hyderabad, India.
Sonali BejICAR-Indian Institute of Rice Research, Hyderabad, India.
K P JadhavICAR-Indian Institute of Rice Research, Hyderabad, India.
J Aravind KumarICAR-Indian Institute of Rice Research, Hyderabad, India.
U ChaitanyaICAR-Indian Institute of Rice Research, Hyderabad, India.
Smita C PawarDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, India.
Surekha H RaniDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, India.
Lella V SubbaraoICAR-Indian Institute of Rice Research, Hyderabad, India.
Sitapati R VoletiICAR-Indian Institute of Rice Research, Hyderabad, India.
Indian Institute of Rice Research · INOsmania University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polished rice is one of the commonly consumed staple foods across the world. However, it contains limited nutrients especially iron (Fe) and zinc (Zn). To identify promising recombinant inbred lines (RILs) for grain Zn and single plant yield, 190 RILs developed from PR116 and Ranbir Basmati were evaluated in two environments (E1 and E2). A subset of 44 contrasting RILs for grain Zn was screened in another two environments (E3 and E4). Phenotypic data was collected for 10 traits, viz., days to 50% flowering, plant height, panicle length, number of tillers, single plant yield (SPY), test weight, Fe and Zn in brown (IBR, ZBR), and polished rice (IPR, ZPR). Stepwise regression analysis of trait data in 190 RILs and a subset of 44 RILs revealed the interdependence of ZPR, ZBR, IPR, and IBR and the negative association of grain Zn with single plant yield. Based on the additive main effect and multiplicative interaction (AMMI) and genotype and genotype × environment interaction (GGE) analyses of the subset of 44 RILs across four environments (E1-E4), six promising RILs were identified for ZPR with >28 ppm. Mapping of 190 RILs with 102 simple sequence repeats (SSRs) resulted in 13 QTLs for best linear unbiased estimates (BLUEs) of traits including advantage over check (AOC). Using genotype-based sequencing (GBS), the subset of 44 RILs was mapped with 1035 single-nucleotide polymorphisms (SNPs) and 21 QTLs were identified. More than 100 epistatic interactions were observed. A major QTL

Indexed as

grain zincQTLriceRILsSNPSSRstability

Identifiers

PMID33679823
PMCPMC7930840
OpenAlexW3130158022

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.