Evidence map›Paper›PMID 39759246›Full record

ArticleFrontiers in plant science2024

Frost tolerance improvement in pea and white lupin by a high-throughput phenotyping platform.

Nicolò Franguelli, Daniele Cavalli, Tommaso Notario, Luciano Pecetti, Paolo Annicchiarico

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Screening of Different Pea (Plant-environment interactions (Hoboken, N.J.) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Harnessing historical genebank data to accelerate pea breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  7. 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.

Nicolò FranguelliCouncil for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Lodi, Italy.
Daniele CavalliCouncil for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Lodi, Italy.
Tommaso NotarioCouncil for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Lodi, Italy.
Luciano PecettiCouncil for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Lodi, Italy.
Paolo AnnicchiaricoCouncil for Agricultural Research and Economics (CREA), Research Centre for Animal Production and Aquaculture, Lodi, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The changing climate could expand northwards in Europe the autumn sowing of cool-season grain legumes to take advantage of milder winters and to escape the increasing risk of terminal drought. Greater frost tolerance is a key breeding target because sudden frosts following mild-temperature periods may produce high winter mortality of insufficiently acclimated plants. The increasing year-to-year climate variation hinders the field-based selection for frost tolerance. This study focused on pea and white lupin with the objectives of (i) optimizing an easy-to-build, high-throughput phenotyping platform for frost tolerance assessment with respect to optimal freezing temperatures, and (ii) verifying the consistency of genotype plant mortality responses across platform and field conditions. The platform was a 13.6 m

Indexed as

abiotic stresscold tolerancecool-season grain legumeslow temperature stressLupinus albusPisum sativumwinter mortalitywinter plant survival

Identifiers

PMID39759246
PMCPMC11695127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.