Evidence map›Paper›PMID 37035067›Full record

ArticleFrontiers in plant science2023

Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.

Alvin D Palanog, Chau Thanh Nha, Gwen Iris L Descalsota-Empleo, Mark Ian Calayugan, Zin Mar Swe, Amery Amparado, Mary Ann Inabangan-Asilo, Jose E Hernandez, Pompe C Sta Cruz, Teresita H Borromeo and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Genomic prediction and QTL analysis for grain Zn content and yield inJournal of plant biochemistry and biotechnology · 2024
    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

14 authors at 4 institutions in 2 countries.

Alvin D PalanogRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Chau Thanh NhaCant Ho University, Cant Ho, Vietnam.
Gwen Iris L Descalsota-EmpleoCollege of Agriculture, University of Southern Mindanao, Kabacan, North Cotabato, Philippines.
Mark Ian CalayuganCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Zin Mar SweRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Amery AmparadoRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Mary Ann Inabangan-AsiloRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Jose E HernandezCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Pompe C Sta CruzCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Teresita H BorromeoCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Antonio G LalusinCollege of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.
Ramil MauleonRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Kenneth L McNallyRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
B P Mallikarjuna SwamyRice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
International Rice Research Institute · PHUniversity of the Philippines Los Baños · PHCan Tho University · VNUniversity of Southern Mindanao · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breeding staple crops with increased micronutrient concentration is a sustainable approach to address micronutrient malnutrition. We carried out Multi-Cross QTL analysis and Inclusive Composite Interval Mapping for 11 agronomic, yield and biofortification traits using four connected RILs populations of rice. Overall, MC-156 QTLs were detected for agronomic (115) and biofortification (41) traits, which were higher in number but smaller in effects compared to single population analysis. The MC-QTL analysis was able to detect important QTLs viz:

Indexed as

biofortificationcandidate genesconnected populationsmicronutrientsQTLriceZn

Identifiers

PMID37035067
PMCPMC10073715
OpenAlexW4353081128

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.