Evidence map›Paper›PMID 24022198›Full record

ArticleMolecular genetics and genomics : MGG2013

Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

Zhe Yang, Dawei Xin, Chunyan Liu, Hongwei Jiang, Xue Han, Yanan Sun, Zhaoming Qi, Guohua Hu, Qingshan Chen

Erratum issuedAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Genome-wide association study of soybean (Frontiers in plant science · 2023
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  2. Article
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  4. Exploring genetic architecture for pod-related traits in soybean using image-based phenotyping.Molecular breeding : new strategies in plant improvement · 2021
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  7. Integrated Bioinformatics Analyses ofFrontiers in plant science · 2021
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Zhe Yang
Dawei Xin
Chunyan Liu
Hongwei Jiang
Xue Han
Yanan Sun
Zhaoming Qi
Guohua Hu
Qingshan Chen
Northeast Agricultural University · CNHeilongjiang Academy of Land Reclamation Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean seed and pod traits are important yield components. Selection for high yield style in seed and pod along with agronomic traits is a goal of many soybean breeders. The intention of this study was to identify quantitative trait loci (QTL) underlying seed and pod traits in soybean among eleven environments in China. 147 recombinant inbred lines were advanced through single-seed-descent method. The population was derived from a cross between Charleston (an American high yield soybean cultivar) and DongNong594 (a Chinese high yield soybean cultivar). A total of 157 polymorphic simple sequence repeat markers were used to construct a genetic linkage map. The phenotypic data of seed and pod traits [number of one-seed pod, number of two-seed pod, number of three-seed pod, number of four-seed pod, number of (two plus three)-seed pod, number of (three plus four)-seed pod, seed weight per plant, number of pod per plant] were recorded in eleven environments. In the analysis of single environment, fourteen main effect QTLs were identified. In the conjoint analysis of multiple environments, twenty-four additive QTLs were identified, and additive QTLs by environments interactions (AE) were evaluated and analyzed at the same time among eleven environments; twenty-three pairs of epistatic QTLs were identified, and epistasis (additive by additive) by environments interactions (AAE) were also analyzed and evaluated among eleven environments. Comparing the results of identification between single environment mapping and multiple environments conjoint mapping, three main effect QTLs with positive additive values and another three main effect QTLs with negative additive values, had no interactions with all environments, supported that these QTLs could be used in molecular assistant breeding in the future. These different effect QTLs could supply a good foundation to the gene clone and molecular asisstant breeding of soybean seed and pod traits.

Indexed as

Gene-Environment InteractionQuantitative Trait LociChromosome MappingChromosomes, PlantEnvironmentEpistasis, GeneticGenetic LinkageGlycine maxPhenotypeSeeds

Identifiers

PMID24022198
OpenAlexW1990593280

What OpenQuestion holds

Textmetadata
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.