Evidence map›Paper›PMID 35880472›Full record

ArticleThe plant genome2022

Stable sorghum grain quality QTL were identified using SC35 × RTx430 mapping population.

Habtamu Ayalew, Shantha Peiris, Anuj Chiluwal, Ritesh Kumar, Manish Tiwari, Troy Ostmeyer, Scott Bean, S V Krishna Jagadish

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2022. 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
1.5field-weighted citation impact, top 17% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 1 country.

Habtamu AyalewDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.ORCID 0000-0002-4778-9008
Shantha PeirisGrain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, 66502, USA.
Anuj ChiluwalDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.
Ritesh KumarDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.
Manish TiwariDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.ORCID 0000-0002-3994-6181
Troy OstmeyerDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.ORCID 0000-0002-3793-729X
Scott BeanGrain Quality and Structure Research Unit, CGAHR, USDA-ARS, Manhattan, KS, 66502, USA.
S V Krishna JagadishDep. of Agronomy, Kansas State Univ., Manhattan, KS, 66506, USA.ORCID 0000-0002-1501-0960
Kansas State University · USCenter for Grain and Animal Health Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic control and inheritance of grain quality traits is instrumental in facilitating end-use quality improvement. This study was conducted to identify and map quantitative trait loci (QTL) controlling protein, starch, and amylose content in grain sorghum [Sorghum bicolor (L.) Moench] grown under variable environmental conditions. A recombinant inbred line (RIL) population derived from a cross between RTx430 and SC35 was evaluated in six environments across Hays and Manhattan, KS. Significant variation was observed in genotype, environment, and genotype × environment interaction for all three quality traits. Unlike the RILs, the two parental lines did not show significant differences for these traits. However, significant transgressive segregation was observed for all traits resulting in phenotypic performance extending beyond the two parents. A total of seven protein, 10 starch, and 10 amylose content QTL were identified. Chromosomal regions and phenotypic variation (PVE) of QTL were variable across growing conditions. Quantitative trait loci hotspots for all three traits were detected on chromosomes 1 (115.2-119.2 cM) and 2 (118.2-127.4 cM). Candidate gene analysis indicated that these QTL hotspots were conditioned by several transcription factors, such as Cytochrome P450 and basic helix-loop-helix DNA binding protein, which regulate starch and protein accumulation in the grain. The identified genomic regions and underlying candidate genes provide a starting point for further validation and marker-assisted gene pyramiding to improve sorghum grain quality.

Indexed as

Quantitative Trait LociSorghumAmyloseChromosome MappingDNA-Binding ProteinsEdible GrainStarchTranscription FactorsAmyloseDNA-Binding ProteinsStarchTranscription Factors

Identifiers

PMID35880472
PMCPMC12807233
OpenAlexW4287958309

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.