Evidence map›Paper›PMID 40573811›Full record

ArticlePlants (Basel, Switzerland)2025

Grapevine Root Distribution and Density in Deep Soil Layers Under Different Soil Management Practices.

Vania Lanari, Luca Pallotti, Tania Lattanzi, Oriana Silvestroni

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. 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
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.

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.

Vania LanariAgricultural, Food and Environmental Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy.
Luca PallottiAgricultural, Food and Environmental Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-9997-1952
Tania LattanziAgricultural, Food and Environmental Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy.
Oriana SilvestroniAgricultural, Food and Environmental Sciences Department, Università Politecnica delle Marche, 60131 Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grapevine root distribution and density influence mineral and water absorption and are affected by soil management and the use of cover crops. This study, conducted in a ten-year-old commercial Mediterranean vineyard with desiccant-managed inter-rows, compares the effects of three different soil management practices-minimum tillage (MT), spontaneous natural covering (NC), and a commercial grass mixture (GM)-on root development in Montepulciano vines grafted onto Kober 5BB rootstocks. Root length, diameter, and weight across different soil layers were analyzed by digging trenches. The results show that thin roots, primarily responsible for water and nutrient absorption, ensure greater soil volume exploration, while medium-to-large roots contribute mainly to root biomass. The presence of cover crops reduces root development in the upper soil layers due to competition with herbaceous species; however, this promotes deeper root exploration and increases the total root length per plant. In the deeper soil layers, root growth is limited by higher soil compaction. Tillage enhances the development of medium-to-large roots and increases the total root biomass per plant. In conclusion, soil management influences vine root development, and competition from cover crops stimulates the growth of absorbing roots in deeper soil layers.

Indexed as

cover cropsgrapevineroot biomassroot lengthrootstockroot systemsoil managementsoil tillagevineyard

Identifiers

PMID40573811
PMCPMC12197271

What OpenQuestion holds

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LicenceCC BY
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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.