Evidence map›Paper›PMID 25914582›Full record

ArticleBreeding science2014

Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.).

Hamidreza Dargahi, Patcharin Tanya, Prakit Somta, Jun Abe, Peerasak Srinives

Open access · diamondAbstract read
In one paragraph

Article in Breeding science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Candidate loci for breeding compact plant-type soybean varieties.Molecular breeding : new strategies in plant improvement · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    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

5 authors at 2 institutions in 2 countries.

Hamidreza DargahiTropical Agriculture (International Program), Faculty of Agriculture at Kamphaeng Saen, Kasetsart University , Kamphaeng Saen, Nakhon Pathom 73140 , Thailand.
Patcharin TanyaDepartment of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University , Kamphaeng Saen, Nakhon Pathom 73140 , Thailand.
Prakit SomtaDepartment of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University , Kamphaeng Saen, Nakhon Pathom 73140 , Thailand.
Jun AbeLaboratory of Plant Genetics and Evolution, Research Faculty of Agriculture, Hokkaido University , Sapporo, Hokkaido 060-8589 , Japan.
Peerasak SrinivesDepartment of Agronomy, Faculty of Agriculture at Kamphaeng Saen, Kasetsart University , Kamphaeng Saen, Nakhon Pathom 73140 , Thailand.
Kasetsart University · THHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of soybean cultivars with high seed yield is a major focus in soybean breeding programs. This study was conducted to identify genetic loci associated with seed yield-related traits in soybean and also to clarify consistency of the detected QTLs with QTLs found by previous researchers. A population of 135 F2:3 lines was developed from a cross between a vegetable soybean line (MJ0004-6) and a landrace cultivar from Myanmar (R18500). They were evaluated in the experimental field of Kasetsart University, Kamphaeng Saen, Nakhon Pathom, Thailand in a randomized complete block design with two replications each in 2011 and 2012 growing seasons. The two parents exhibited contrasting characteristics for most of the traits that were mapped. Analysis of variance showed that the main effects of genotype and environment (year) were significant for all studied traits. Genotype by environment interaction was also highly significant for all the traits. The population was genotyped by 149 polymorphic SSR markers and the genetic map consisted of 129 SSR loci which converged into 38 linkage groups covering 1156 cM of soybean genome. There were 10 QTLs significantly associated with seed yield-related traits across two seasons with single QTLs explaining between 5.0% to 21.9% of the phenotypic variation. Three of these QTLs were detected in both years for days to flowering, days to maturity and 100 seed weight. Most of the detected QTLs in our research were consistent with earlier QTLs reported by previous researchers. However, four novel QTLs including SF1, SF2 and SF3 on linkage groups L and N for seed filling period and PN1 on linkage group D1b for pod number were identified in the present study.

Indexed as

quantitative trait locisimple sequence repeatsoybeanyield-related traits

Identifiers

PMID25914582
PMCPMC4267302
OpenAlexW2018642066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.