Evidence map›Paper›PMID 36061803›Full record

ArticleFrontiers in plant science2022

Identification of small effect quantitative trait loci of plant architectural, flowering, and early maturity traits in reciprocal interspecific introgression population in cotton.

Rahul Chandnani, Changsoo Kim, Jinesh D Patel, Hui Guo, Tariq Shehzad, Jason G Wallace, Daohua He, Zhengsheng Zhang, Jeevan Adhikari, Sameer Khanal and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. International journal of molecular sciences · 2023
    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

12 authors.

Rahul ChandnaniPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Changsoo KimPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Jinesh D PatelPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Hui GuoPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Tariq ShehzadPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Jason G WallaceDepartment of Crop and Soil Sciences, University of Georgia, Athens, GA, United States.
Daohua HeCollege of Agronomy, Northwest A&F University, Yangling, Shaanxi, China.
Zhengsheng ZhangCollege of Agronomy and Biotechnology, Southwest University, Chongqing, China.
Jeevan AdhikariPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Sameer KhanalPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.
Peng W CheeNESPAL Molecular Cotton Breeding Laboratory, The University of Georgia, Tifton, GA, United States.
Andrew H PatersonPlant Genome Mapping Laboratory, The University of Georgia, Athens, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant architecture, flowering time and maturity traits are important determinants of yield and fiber quality of cotton. Genetic dissection of loci determining these yield and quality components is complicated by numerous loci with alleles conferring small differences. Therefore, mapping populations segregating for smaller numbers and sizes of introgressed segments is expected to facilitate dissection of these complex quantitative traits. At an advanced stage in the development of reciprocal advanced backcross populations from crosses between elite

Indexed as

cottonfloweringintrogressionmaturityplant heightquantitative trait loci

Identifiers

PMID36061803
PMCPMC9433993

What OpenQuestion holds

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Registered trials

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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.