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Martin Mortimer

Researcher at University of Liverpool

Publications -  36
Citations -  3335

Martin Mortimer is an academic researcher from University of Liverpool. The author has contributed to research in topics: Weed & Population ecology. The author has an hindex of 12, co-authored 36 publications receiving 3199 citations. Previous affiliations of Martin Mortimer include International Rice Research Institute.

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Journal ArticleDOI

Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88

Herman Jan Pel, +70 more
- 01 Feb 2007 - 
TL;DR: The filamentous fungus Aspergillus niger is widely exploited by the fermentation industry for the production of enzymes and organic acids, particularly citric acid, and the sequenced genome revealed a large number of major facilitator superfamily transporters and fungal zinc binuclear cluster transcription factors.
Book

Dynamics of Weed Populations

TL;DR: Dynamics of weed populations, Dynamics of Weed populations, مرکز فناوری اطلاعات و اصاع رسانی, کδاوρزی is an attempt to describe the behaviour of weeds in the context of cultivated areas.
Book

Population Ecology: A Unified Study of Animals and Plants

TL;DR: This work describes Populations of Single-Species Populations and investigates the role of Interspecific Competition in Population Regulation and Predation.
Journal ArticleDOI

More Rice, Less Water—Integrated Approaches for Increasing Water Productivity in Irrigated Rice-Based Systems in Asia

TL;DR: Assessment of technologies and systems for reducing water inputs and increasing water productivity at spatial scale levels from plant to field, to irrigation system, and to agro-ecological zones concluded that, while increasing the productivity of irrigated rice with transpired water may require breakthroughs in breeding, many technologies can reduce water inputs at the field level and increase field-level water productivity.
Journal ArticleDOI

Dynamics of Weed Populations.

TL;DR: In this article, the dynamics of weed populations were discussed. And the authors proposed a model to predict the dynamics and behavior of weed population in terms of the number of weeds in a region.