Evidence map›Paper›PMID 36061203›Full record

ArticleFrontiers in genetics2022

Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population.

Kashif Aslam, Shahzad Amir Naveed, Muhammad Sabar, Ghulam Shabir, Shahid Masood Shah, Abdul Rehman Khan, Muhammad Musaddiq Shah, Sajid Fiaz, Jianlong Xu, Muhammad Arif

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In one paragraph

Article in Frontiers in genetics, 2022. 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
–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

2 citing papers in PubMed.

  1. Rice (Plants (Basel, Switzerland) · 2023
    Article
  2. 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

10 authors.

Kashif AslamNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Shahzad Amir NaveedNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Muhammad SabarRice Research Institute, Kala Shah Kaku, Pakistan.
Ghulam ShabirNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Shahid Masood ShahDepartment of Biotechnology, COMSATS University Islamabad, Abbottabad, Pakistan.
Abdul Rehman KhanDepartment of Biotechnology, COMSATS University Islamabad, Abbottabad, Pakistan.
Muhammad Musaddiq ShahDepartment of Biological Sciences, International Islamic University Islamabad, Islamabad, Pakistan.
Sajid FiazDepartment of Plant Breeding and Genetics, The University of Haripur, Haripur, Pakistan.
Jianlong XuShenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Muhammad ArifNational Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain appearance is one of the most important attributes of rice. It is determined by grain size, shape, and weight, which in turn influences the rice yield and market value. In this study, QTLs for grain length, grain width, grain length/width ratio, and grain weight were mapped using the high-throughput indica/indica SNP platforms. The population of the mega indica variety IR64 and the high-quality aromatic variety Sadri from Iran was phenotyped. Based on this phenotypic data, plants of 94 F

Indexed as

genotypinggrain sizegrain weightQTL mappingSNP markers

Identifiers

PMID36061203
PMCPMC9437704

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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.