Evidence map›Paper›PMID 41436923›Full record

ArticleBMC plant biology2025

Physiological and turf quality responses of tall fescue to varying irrigation levels and nitrogen doses under Mediterranean climate conditions.

Sinem Zere Taskin, Fikret Yonter, Burak Nazmi Candogan, Asuman Cansev, Ugur Bilgili

Abstract read
In one paragraph

Article in BMC plant biology, 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

5 authors.

Sinem Zere TaskinDepartment of Field Crops, Bursa Uludag University, Bursa, Türkiye. sinemzere@uludag.edu.tr.
Fikret YonterDepartment of Field Crops, Bursa Uludag University, Bursa, Türkiye.
Burak Nazmi CandoganDepartment of Biosystems Engineering, Bursa Uludag University, Bursa, Türkiye.
Asuman CansevDepartment of Horticulture, Bursa Uludag University, Bursa, Türkiye.
Ugur BilgiliDepartment of Field Crops, Bursa Uludag University, Bursa, Türkiye.

Funding

Scientific and Technical Research Council of Türkiye (TÜBİTAK) 112O745
6 · The paper itself

Abstract

backgroundWater scarcity and growing environmental concerns have increased the need for effective irrigation and fertilization practices in turf management. This study investigated the effects of different irrigation levels (IL) and nitrogen doses (ND) on turf quality, color, clipping yield, and selected physiological parameters of tall fescue [Schedonorus arundinaceus (Schreb.) Dumort] under Mediterranean climate conditions. The experimental design was randomized blocks in a split‒split plot design with three replications. The irrigation levels were set at 25% (IL1), 50% (IL2), 75% (IL3), and 100% (IL4) pan evaporation, while nitrogen doses of 0.00, 1.25, 2.50, and 5.00 g m

resultsThe irrigation level and nitrogen application significantly affected turf color, quality, clipping yield, leaf relative water content, chlorophyll content, turgor loss, and electrolyte leakage. Increased irrigation and nitrogen levels increased the leaf RWC and chlorophyll content while reducing turgor loss and electrolyte leakage, ultimately improving plant tolerance to environmental stress.

conclusionsOur findings suggest that acceptable turf color and quality throughout the year can be achieved with a 50% irrigation level and a nitrogen dose of 5.00 g m

Indexed as

Agricultural IrrigationNitrogenPoaceaeClimateFertilizersMediterranean RegionPlant LeavesWaterFertilizersNitrogenWaterIrrigation applicationNitrogen fertilizationTurf performanceTurf physiology

Identifiers

PMID41436923
PMCPMC12838456

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.