Evidence map›Paper›PMID 37739968›Full record

ArticleScientific reports2023

Comparisons among barley-pea mixed crop combinations in a replacement design as related to N fertilization and soil variation.

Stefano Tavoletti, Stefania Cocco, Giuseppe Corti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.1field-weighted citation impact, top 14% 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, 6 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

3 authors at 1 institution in 1 country.

Stefano TavolettiDipartimento di Scienze Agrarie, Alimentari e Ambientali, Università Politecnica Delle Marche, Ancona, Italy. s.tavoletti@staff.univpm.it.ORCID http://orcid.org/0000-0002-8206-7545
Stefania CoccoDipartimento di Scienze Agrarie, Alimentari e Ambientali, Università Politecnica Delle Marche, Ancona, Italy.ORCID http://orcid.org/0000-0001-8866-4554
Giuseppe CortiDipartimento di Scienze Agrarie, Alimentari e Ambientali, Università Politecnica Delle Marche, Ancona, Italy.ORCID http://orcid.org/0000-0001-6677-9326
Marche Polytechnic University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two field trials (2017 and 2018) evaluated the performance of barley-pea mixed cropping by comparing different sowing densities (replacement design) and tailoring N fertilization on barley sowing density (split-plot design). High and Low N inputs were applied to whole plots whereas barley and pea, as pure and in mixed crops, were applied to subplots. The 2017 trial suggested the occurrence of an interaction between soil physical properties and N fertilization. Therefore, in 2018 a pedological survey allowed the soil effect to be included in the ANOVA model applied to evaluate crop performance parameters, showing that N fertilization positively affected barley performance only in the soil unit located downslope. A significantly lower presence of weeds was observed in mixed crops rather than in pea pure crops. Overall, increasing pea density and reducing barley density in mixed crops, and tailoring N fertilization were effective approaches to obtain a more balanced mixed grain at harvest. The combination of crop performance evaluation and assessments of soil conditions suggested that more sustainable agricultural systems, based on mixed cropping and a significant reduction of N fertilizers and herbicides, can be achieved with barley-pea mixed cropping as an alternative to pure cropping systems.

Indexed as

HordeumCrops, AgriculturalFertilizationPisum sativumReplantationSoilSoil

Identifiers

PMID37739968
PMCPMC10516871
OpenAlexW4386958077

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.