Evidence map›Paper›PMID 35599828›Full record

ArticleData in brief2022

Datasets for grain protein content, yield-related traits, and candidate genes in a durum wheat RIL population derived from a "hexaploid × tetraploid" interspecific cross.

Angelica Giancaspro, Stefania Lucia Giove, Ilaria Marcotuli, Agata Gadaleta

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Angelica GiancasproDepartment of Agricultural and Environmental Science (DiSAAT), University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
Stefania Lucia GioveDepartment of Agricultural and Environmental Science (DiSAAT), University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
Ilaria MarcotuliDepartment of Agricultural and Environmental Science (DiSAAT), University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
Agata GadaletaDepartment of Agricultural and Environmental Science (DiSAAT), University of Bari "Aldo Moro", Via G. Amendola 165/A, 70126 Bari, Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data described in this article refer to the evaluation of genetic variability for quantity (grain protein content, GPC) and composition (HMW-glutenin subunits and gliadins) of seed storage proteins, and two yield components (grain yield per spike, GYS, and thousand-kernel weight, TKW) in a durum wheat recombinant inbred line (RIL) population derived by an interspecific cross between the common wheat accession 02-5B-318 and the durum cv. Saragolla. This article provides datasets relative to GPC, GYS and TKW collected in the two parents and in 135 durum RIL progenies from plants grown in field trials conducted in Valenzano (Metropolitan City of Bari, BA, Italy) by a randomized complete block design with three replicates. Data on GPC were acquired from Near-Infrared Reflectance on whole-meal flour and are expressed as percentage of proteins on a dry weight basis. Data relative to composition of seed storage proteins refer to high molecular weight glutenin subunits (encoded by

Indexed as

Candidate geneDurum wheatGPCGrain yield per spikeQTLThousand kernel weight

Identifiers

PMID35599828
PMCPMC9118095
OpenAlexW4225292980

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.