Evidence map›Paper›PMID 26379457›Full record

ArticleBiodiversity data journal2015

Morpho-physiolological and qualitative traits of a bread wheat collection spanning a century of breeding in Italy.

Paolo Laino, Margherita Limonta, Davide Gerna, Patrizia Vaccino

Abstract read
In one paragraph

Article in Biodiversity data journal, 2015. 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
–field-weighted citation impact
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

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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.

  1. Article
  2. Assessment of TunisianMicroorganisms · 2023
    Article
  3. Article
  4. Article
  5. Defining the wheat microbiome: Towards microbiome-facilitated crop production.Computational and structural biotechnology journal · 2021
    Review
  6. Review
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.

Paolo LainoConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Unità di ricerca per la Selezione dei Cereali e la Valorizzazione delle varietà vegetali (CREA-SCV), Sant'Angelo Lodigiano, Italy.
Margherita LimontaConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Unità di ricerca per la Selezione dei Cereali e la Valorizzazione delle varietà vegetali (CREA-SCV), Sant'Angelo Lodigiano, Italy.
Davide GernaConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Unità di ricerca per la Selezione dei Cereali e la Valorizzazione delle varietà vegetali (CREA-SCV), Sant'Angelo Lodigiano, Italy.
Patrizia VaccinoConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria, Unità di ricerca per la Selezione dei Cereali e la Valorizzazione delle varietà vegetali (CREA-SCV), Sant'Angelo Lodigiano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation and characterization are crucial steps in the exploitation of germplasm collections. The Sant'Angelo Lodigiano unit of the Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA) maintains a broad collection of Triticum spp, including more than 4000 genotypes of T. aestivum. Such collection represents a wide source of genetic variability for many agronomic and qualitative traits, extremely useful in modern breeding programs. The collection size, however, makes very difficult its management as a whole. A reduced subset, representing the process of wheat breeding in Italy during the last hundred years, was hence identified for an in-depth characterization. The lines were cropped in two locations over two growing seasons, and analyzed using 16 morpho-agronomic and qualitative descriptors. Most of the analysed characters showed a broad variation throughout the collection, allowing to follow the plant ideotype changes across the breeding progress in Italy during the 20th century.

Indexed as

genetic resourcesItalyphenotypingTriticum aestivumwheat breeding

Identifiers

PMID26379457
PMCPMC4563155

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Registered trials

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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.