Suppresive plants as weed management tool: Managing Parthenium hysterophorus under simulated grazing in Australian grasslands.
Best practice management
Competitive plant
Growth suppression
Parthenium weed
Simulated grazing
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
01 Oct 2019
01 Oct 2019
Historique:
received:
20
02
2019
revised:
09
06
2019
accepted:
11
06
2019
pubmed:
28
6
2019
medline:
26
9
2019
entrez:
28
6
2019
Statut:
ppublish
Résumé
Parthenium hysterophorus L. is among one of the most problematic invasive grassland weeds in Australia, and in many other countries around the world. It can reduce pasture and livestock production, natural community biodiversity, and negatively affect human and animal health. Sowing of selected suppressive pasture plants in parthenium weed infested grasslands has shown potential to improve efficacy of management. However, such species need to be tested for their ability to suppress weed growth under grazing conditions. The parthenium weed suppressive and fodder production capacity of six selected pasture species [purple pigeon grass (Setaria incrassata), buffel grass (Cenchrus ciliaris), butterfly pea (Clitoria ternatea), Kangaroo grass (Themeda triandra), bull Mitchell grass (Astrebla squarrosa) and Indian bluegrass (Bothriochloa pertusa)] was tested under no (0%), low (25%), moderate (50%) and heavy (75%) simulated grazing pressures in a grassland area of south-central Queensland, Australia. Purple pigeon grass, buffel grass and butterfly pea legume suppressed the growth of parthenium weed by >50% under low and moderate simulated grazing pressures, as well as generating moderate to high amounts of fodder biomass (up to 5.07 t ha
Identifiants
pubmed: 31247369
pii: S0301-4797(19)30854-0
doi: 10.1016/j.jenvman.2019.06.051
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
224-233Informations de copyright
Copyright © 2019. Published by Elsevier Ltd.