Evidence map›Paper›PMID 35681016›Full record

ArticleScientific reports2022

Influence of environmental factors on seed germination and seedling characteristics of perennial ryegrass (Lolium perenne L.).

Muhammad Mansoor Javaid, Athar Mahmood, Dalal S Alshaya, Muneera D F AlKahtani, Hasnain Waheed, Allah Wasaya, Sher Aslam Khan, Maria Naqve, Imran Haider, Muhammad Adnan Shahid and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Post digestion weed seed survival in cattle.Frontiers in plant science · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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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

16 authors.

Muhammad Mansoor JavaidDepartment of Agronomy, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Athar MahmoodDepartment of Agronomy, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan. athar.mahmood@uaf.edu.pk.
Dalal S AlshayaDepartment of Biology, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. dsalshaya@pnu.edu.sa.
Muneera D F AlKahtaniDepartment of Biology, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Hasnain WaheedDepartment of Agronomy, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Allah WasayaCollege of Agriculture, Bahauddin Zakariya University, Bahadur Sub-Campus, Layyah, 31200, Pakistan.
Sher Aslam KhanDepartment of Plant Breeding and Genetics, The University of Haripur, Haripur, 22620, Pakistan.
Maria NaqveDepartment of Botany, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan.
Imran HaiderDepartment of Agronomy, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Muhammad Adnan ShahidHorticultural Sciences Department, UF/IFAS, North Florida Research and Education Center Quincy 32351, University of Florida, Gainesville, USA.
Muhammad Ather NadeemDepartment of Agronomy, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Saira AzmatAgriculture Extension and Adaptive Research, Agriculture Department, Government of Punjab, Lahore, Pakistan.
Bilal Ahmad KhanDepartment of Agronomy, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Rashad Mukhtar BalalDepartment of Horticulture, College of Agriculture, University of Sargodha, Sargodha, 40100, Pakistan.
Kotb A AttiaCenter of Excellence in Biotechnology Research, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Sajid FiazCollege of Agriculture, Bahauddin Zakariya University, Bahadur Sub-Campus, Layyah, 31200, Pakistan. sfiaz@uoh.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information regarding the germination and seedling growth behavior of a potential weed species is an important tool to manage weeds without the use of agricultural chemicals that cause harmful effects on human health and the environment. A series of experiments were directed to investigate the influence of different environmental factors (temperature, pH, NaCl, moisture stress, and seed burial depth) on germination and seedling emergence of perennial ryegrass (Lolium perenne L.) under controlled conditions. Results suggested that 25 °C is the optimum temperature for maximum germination (95%) and seedling growth of perennial ryegrass, however, a quick decline was observed at 35 °C. Seed germination was unaffected by pH levels ranging from 5 to 10. The 92% seed germination was recorded where no salt stress was applied and germination was reduced by 87% at 250 mMNaCl concentration. Seed germination was unaffected by osmotic potential ranges from 0 to - 0.4 MPa thereafter declined and completely inhibited at - 0.8 or - 1.0 MPa. No seed emerged at the soil surface or a soil depth of 6 or 7 cm and 90% emergence occurred at 1 cmsoil depth. The germination and seedlings parameters like time to initial germination, mean germination time, time taken to 50% germination and germination index, root and shoot length, and fresh and dry weight of root and shoot are significantly affected with the environmental factors. The information obtained in this study will be helpful to develop better management strategies for germination and the emergence of perennial ryegrass in areas where it has the ability to rapidly colonize.

Indexed as

LoliumSeedlingsGerminationHumansSeedsSoilSoil

Identifiers

PMID35681016
PMCPMC9184647

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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.