Evidence map›Paper›PMID 33146737›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021

Allelic response of yield component traits to resource availability in spring wheat.

Brittney H Jones, Nancy K Blake, Hwa-Young Heo, John M Martin, Jessica A Torrion, Luther E Talbert

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024
    Article
  3. Article
  4. Genes Impacting Grain Weight and Number in Wheat (Plants (Basel, Switzerland) · 2022
    Review
  5. 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

6 authors at 1 institution in 1 country.

Brittney H JonesDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA. brittney.brewer@montana.edu.ORCID http://orcid.org/0000-0003-4840-148X
Nancy K BlakeDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
Hwa-Young HeoDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
John M MartinDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
Jessica A TorrionNorthwestern Agricultural Research Center, Montana State University, Kalispell, MT, 59901, USA.
Luther E TalbertDepartment of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA. ltalbert@montana.edu.ORCID http://orcid.org/0000-0003-0558-1230
Montana State University · US

Funding

USDA National Institute of Food and Agriculture 2011-68002-30029USDA National Institute of Food and Agriculture 2017-67007-25939
6 · The paper itself

Abstract

key messageInvestigation of resource availability on allele effects for four yield component quantitative trait loci provides guidance for the improvement of grain yield in high and low yielding environments. A greater understanding of grain yield (GY) and yield component traits in spring wheat may increase selection efficiency for improved GY in high and low yielding environments. The objective of this study was to determine allelic response of four yield component quantitative trait loci (QTL) to variable resource levels which were manipulated by varying intraspecific plant competition and seeding density. The four QTL investigated in this study had been previously identified as impacting specific yield components. They included QTn.mst-6B for productive tiller number (PTN), WAPO-A1 for spikelet number per spike (SNS), and QGw.mst-3B and TaGW2-A1 for kernel weight (KWT). Near-isogenic lines for each of the four QTL were grown in multiple locations with three competition (border, no-border and space-planted) and two seeding densities (normal 216 seeds m

Indexed as

Quantitative Trait LociAllelesChromosome MappingChromosomes, PlantGene Expression Regulation, PlantPhenotypePlant BreedingPlant ProteinsSeasonsSeedsTriticumPlant Proteins

Identifiers

PMID33146737
OpenAlexW3095684492

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.