World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
48
Citations
9507
World Ranking
2382
National Ranking
187

Research.com Recognitions

  • 1961 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Ecology
  • Agronomy

Andrew D. Moore focuses on Agriculture, Grazing, Pasture, Agronomy and Sustainability. His Agriculture research integrates issues from Climate change adaptation and Data science. The Grazing study which covers Livestock that intersects with Natural resource management.

His Pasture research incorporates elements of Perennial plant, Litter and Water content. His Agronomy research is multidisciplinary, incorporating elements of Statistics and Wax. His work deals with themes such as Agroforestry and Forage, which intersect with Sustainability.

His most cited work include:

  • APSIM - Evolution towards a new generation of agricultural systems simulation (689 citations)
  • GRAZPLAN: Decision support systems for Australian grazing enterprises—II. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS (325 citations)
  • GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS (193 citations)

What are the main themes of his work throughout his whole career to date?

Andrew D. Moore mainly focuses on Pasture, Agronomy, Grazing, Agriculture and Agroforestry. His research in Pasture intersects with topics in Stocking, Livestock, Soil fertility and Phenology. His study in Livestock is interdisciplinary in nature, drawing from both Broadacre and Climate change.

His Agronomy study frequently draws connections between adjacent fields such as Soil water. Irrigation is closely connected to Gross margin in his research, which is encompassed under the umbrella topic of Grazing. His study on Mixed farming and Cropping is often connected to Simulation modeling and Decision support system as part of broader study in Agriculture.

He most often published in these fields:

  • Pasture (39.42%)
  • Agronomy (39.42%)
  • Grazing (32.85%)

What were the highlights of his more recent work (between 2013-2021)?

  • Agriculture (27.74%)
  • Agronomy (39.42%)
  • Climate change (18.98%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Agriculture, Agronomy, Climate change, Pasture and Agroforestry. Andrew D. Moore has included themes like Livestock and Data science in his Agriculture study. Andrew D. Moore combines subjects such as Broadacre and Grazing with his study of Livestock.

His research integrates issues of Cropping and Mixed farming in his study of Agronomy. His work carried out in the field of Climate change brings together such families of science as Agricultural productivity, Environmental resource management, Water-use efficiency, Grassland and Greenhouse gas. The concepts of his Pasture study are interwoven with issues in Perennial plant, Soil water and Biomass.

Between 2013 and 2021, his most popular works were:

  • APSIM - Evolution towards a new generation of agricultural systems simulation (689 citations)
  • Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia (118 citations)
  • Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology (81 citations)

In his most recent research, the most cited papers focused on:

  • Agriculture
  • Ecology
  • Agronomy

Agronomy, Agriculture, Climate change, Agricultural productivity and Agroforestry are his primary areas of study. Pasture and Forage are the primary areas of interest in his Agronomy study. The Pasture study combines topics in areas such as Soil water and Grazing.

His Agriculture study which covers Environmental resource management that intersects with Flexibility. His Climate change research incorporates themes from Gross margin, Water-use efficiency, Livestock, Crop yield and Greenhouse gas. His Agricultural productivity research includes themes of Climate change adaptation, Simulation, Systems simulation and Agricultural landscapes.

Best Publications

  • APSIM - Evolution towards a new generation of agricultural systems simulation

    Dean P. Holzworth;Neil I. Huth;Peter G. deVoil;Eric J. Zurcher

  • GRAZPLAN: Decision support systems for Australian grazing enterprises—II. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS

    M Freer;A.D Moore;J.R Donnelly

  • GRAZPLAN: Decision support systems for Australian grazing enterprises. III. Pasture growth and soil moisture submodels, and the GrassGro DSS

    A.D. Moore;J.R. Donnelly;M. Freer

  • Bean [alpha]-Amylase Inhibitor Confers Resistance to the Pea Weevil (Bruchus pisorum) in Transgenic Peas (Pisum sativum L.).

    H. E. Schroeder;S. Gollasch;A. Moore;L. M. Tabe

  • Integrated crop–livestock systems in Australian agriculture: Trends, drivers and implications

    Lindsay W. Bell;Andrew D. Moore

  • Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia

    Lindsay W. Bell;Andrew D. Moore;John A. Kirkegaard

  • Morphology and response of roots of pasture species to phosphorus and nitrogen nutrition

    J. O. Hill;J. O. Hill;R. J. Simpson;A. D. Moore;D. F. Chapman

  • Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology

    Sander J.C. Janssen;Cheryl H. Porter;Andrew D. Moore;Ioannis N. Athanasiadis

  • Using a least-squares optimization procedure to estimate botanical composition based on the alkanes of plant cuticular wax

    H Dove;AD Moore

  • Genetic transformation of cowpea (Vigna unguiculata L.) and stable transmission of the transgenes to progeny

    J. Carlos Popelka;Stephanie Gollasch;Andy Moore;Lisa Molvig

  • A biotechnological approach to improving the nutritive value of alfalfa

    L. M. Tabe;T. Wardley-Richardson;T. Wardley-Richardson;A. Ceriotti;A. Ceriotti;A. Aryan;A. Aryan

  • GRAZPLAN: Decision support systems for Australian grazing enterprises—I. Overview of the GRAZPLAN project, and a description of the MetAccess and LambAlive DSS

    J.R. Donnelly;A.D. Moore;M. Freer

  • Transgenic chickpea seeds expressing high levels of a bean -amylase inhibitor

    Bidyut K. Sarmah;Andrew Moore;Walter Tate;Lisa Molvig

  • Feed gaps in mixed-farming systems: insights from the Grain & Graze program

    Andrew D. Moore;Lindsay W. Bell;Dean K. Revell

  • Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions

    Fiona Ehrhardt;Jean François Soussana;Gianni Bellocchi;Peter Grace

  • Evolution of the GRAZPLAN decision support tools and adoption by the grazing industry in temperate Australia

    J.R. Donnelly;M. Freer;L. Salmon;A.D. Moore

  • The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems

    A.D. Moore;D.P. Holzworth;N.I. Herrmann;N.I. Huth

  • Maturation temperature and rainfall influence seed dormancy characteristics of annual ryegrass (Lolium rigidum)

    Kathryn J. Steadman;Amanda J. Ellery;Ross Chapman;Andrew Moore

  • An individualistic model of vegetation stand dynamics.

    Andrew D. Moore;Ian R. Noble

  • Dual-purpose cereals: Can the relative influences of management and environment on crop recovery and grain yield be dissected?

    Matthew T. Harrison;Matthew T. Harrison;Matthew T. Harrison;John R. Evans;Hugh Dove;Andrew D. Moore

  • The challenges - and some solutions - to process-based modelling of grazed agricultural systems

    V.O. Snow;C.A. Rotz;A.D. Moore;R. Martin-Clouaire

  • Climate change and broadacre livestock production across southern Australia. 1. Impacts of climate change on pasture and livestock productivity, and on sustainable levels of profitability

    Andrew D. Moore;Afshin Ghahramani

  • On the maximum growth equation used in forest gap simulation models

    Andrew D. Moore

  • Management of soil phosphorus fertility determines the phosphorus budget of a temperate grazing system and is the key to improving phosphorus efficiency

    Richard J. Simpson;Adam Stefanski;David J. Marshall;Andrew D. Moore

  • Morphology and response of roots of pasture species to phosphorus and nitrogen nutrition. Commentary

    Peter Ryser;J. O. Hill;R. J. Simpson;A. D. Moore

Frequent Co-Authors

Richard J. Simpson
Richard J. Simpson La Trobe University
Thomas J. V. Higgins
Thomas J. V. Higgins Commonwealth Scientific and Industrial Research Organisation
Peter Grace
Peter Grace Queensland University of Technology
Lindsay W. Bell
Lindsay W. Bell Commonwealth Scientific and Industrial Research Organisation
John R. Evans
John R. Evans Australian National University
Jean-François Soussana
Jean-François Soussana INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
John A. Kirkegaard
John A. Kirkegaard University of Western Australia
Ward Smith
Ward Smith Agriculture and Agriculture-Food Canada
Elizabeth Pattey
Elizabeth Pattey Agriculture and Agriculture-Food Canada
Sylvie Recous
Sylvie Recous INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

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