Enhancing Biological Nitrogen Fixation Through Diverse Pasture Swards.

Rukshagini Sutharsan, Paramsothy Jeyakumar, Lucy Burkitt, Dumsane Themba Matse, Ramadoss Dhanuskodi, James Hanly, Daniel J Donaghy

Abstract read

PubMed Full text at PMC Publisher

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. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Root-derived allelochemicals fromPlant signaling & behavior · 2026
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

7 authors.

Rukshagini SutharsanSchool of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.ORCID 0009-0000-0820-1876

Paramsothy JeyakumarSchool of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.ORCID 0000-0002-9841-8645

Lucy BurkittSchool of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.ORCID 0000-0002-2702-5764

Dumsane Themba MatseCrops, Environment and Land Use Programme, Teagasc, Environment, Soils and Land Use Department, Y35 TC97 Wexford, Ireland.ORCID 0000-0001-8669-8646

Ramadoss DhanuskodiResilient Agriculture, AgResearch, Palmerston North 4442, New Zealand.ORCID 0000-0003-4952-1301

James HanlySchool of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.ORCID 0000-0002-7634-5510

Daniel J DonaghySchool of Agriculture and Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand.ORCID 0000-0002-3002-5773

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerative agricultural practices emphasize the use of diverse pasture species within sustainable agriculture production systems. The inclusion of a range of legume species in diverse pasture swards is likely to increase biological N fixation (BNF) across seasons, reducing the system's reliance on synthetic N inputs. The present field study aims to quantify BNF in selected legume species within diverse pasture (combining 9 species) and standard pastures (ryegrass and clover combination) and assess their performance to identify the potential for improving N supply while maintaining year-round pasture quality. A year-round seasonal BNF was assessed by evaluating soil N status, nodulation patterns, plant composition, and conducting

Indexed as

15N natural abundancebiological nitrogen fixationdiverse pasturenitrogen difference methodregenerative agriculture

Identifiers

PMID40941892

DOI10.3390/plants14172727

PMCPMC12430658

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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.