Advances in integrated weed management

453 Pages·2022·12.1 MB·English

by  Per Kudsk

Advances in integrated weed
management
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BURLEIGH DODDS SERIES IN AGRICULTURAL SCIENCE
NUMBER 113
Advances in integrated
weed management
Edited by Professor Per Kudsk, Aarhus University, Denmark
Published by Burleigh Dodds Science Publishing Limited
82 High Street, Sawston, Cambridge CB22 3HJ, UK
www.bdspublishing.com
Burleigh Dodds Science Publishing, 1518 Walnut Street, Suite 900, Philadelphia, PA 19102-3406, USA
First published 2022 by Burleigh Dodds Science Publishing Limited
© Burleigh Dodds Science Publishing, 2022, except the following: Chapters 4, 10 and 13 remain the
copyright of the authors: these are both open access chapters distributed under the terms of the
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A catalogue record for this book is available from the British Library
ISBN 978-1-78676-745-5 (Print)
ISBN 978-1-78676-748-6 (PDF)
ISBN 978-1-78676-747-9 (ePub)
ISSN 2059-6936 (print)
ISSN 2059-6944 (online)
DOI 10.19103/AS.2021.0098
Typeset by Deanta Global Publishing Services, Dublin, Ireland
Contents
Series list xi
Introduction xix
Preface xxiv
Acknowledgements xxvi
Part 1 Weed ecology
1 Advances in understanding the contribution of weeds to the functioning
of agroecosystems 3
Sandrine Petit, Séverin Yvoz, Alexandre Ploteau, Camille Zuccolo
and Stéphane Cordeau Agroécologie, AgroSup Dijon, INRAE, Univ.
Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
1 Introduction 3
2 How key issues of weeds are addressed 4
3 Conclusion 16
4 Future trends in research 18
5 Where to look for further information 20
6 References 20
2 Advances in understanding the dynamics of weed communities in
integrated weed management systems 27
Jonathan Storkey, Sustainable Agriculture Science, Rothamsted
Research, UK
1 Introduction 27
2 Empirical case studies 32
3 A trait-based approach to population dynamics modelling 35
4 Conclusions 40
5 Acknowledgements 41
6 Where to look for further information 42
7 References 42
© Burleigh Dodds Science Publishing Limited, 2022. All rights reserved.
vi Contents
3 Advances in managing arable weed propagules 47
Bärbel Gerowitt, University of Rostock, Germany; and
Barbara Baraibar, University of Lleida – Agrotecnio, Spain
1 Introduction 47
2 Current and historical management of weed propagules: an overview 50
3 Advances in managing inactive weed propagules 53
4 Managing weed propagules: collecting and destroying seeds in crops 53
5 Managing weed propagules: predating weed seeds at the soil surface 55
6 Managing weed propagules below ground 61
7 Managing weed propagules and seeds in modern circular process chains 68
8 New avenues for research 70
9 References 74
4 Advances in understanding allelopathic interactions between
weeds and crops 85
Çağla Görkem Eroğlu and Aurélie Gfeller, Agroscope, Plant
Production Systems, Herbology in Field Crops, Switzerland; Anna
Elizabeth Louw-Gaume, Agroscope, Corporate Strategy, Switzerland;
and Judith Wirth, Agroscope, Plant Production Systems, Herbology in
Field Crops, Switzerland
1 Introduction 85
2 Understanding allelopathy in crop–weed interactions 87
3 Allelopathy: a future component of IWM 98
4 Conclusion 107
5 Where to look for further information 108
6 References 108
5 Advances in understanding invasive characteristics in weed species 121
Ahmet Uludağ, Çanakkale Onsekiz Mart University, Turkey; Mehmet
Arslan, Erciyes University, Turkey; İlhan Üremiş, Hatay Mustafa Kemal
University, Turkey; and Necmi Aksoy, Düzce University, Turkey
1 Introduction 121
2 Genetic modifications as a factor in invasiveness 123
3 Epigenetic modifications as a factor in invasiveness 128
4 Conclusion 131
5 Future trends in research 131
6 References 132
Part 2 Intelligent weed control technologies
6 Modelling the effects of cropping systems on weed dynamics: the
trade-off between process analysis and decision support 143
© Burleigh Dodds Science Publishing Limited, 2022. All rights reserved.
Contents vii
Nathalie Colbach, AgroSup Dijon, INRAE, Université de Bourgogne,
France
1 Introduction 143
2 Comparing models: case studies 145
3 Limiting the modelled system: temporal, spatial and species scales 157
4 Modelling approaches: empirical versus mechanistic models 160
5 Modelling approaches: stochastic versus deterministic models 163
6 How to bridge the gap between process analysis and decision support 166
7 Conclusion and future trends 172
8 Where to look for further information 173
9 References 173
7 Developing decision support systems (DSS) for weed management 183
Panagiotis Kanatas, University of Patras, Greece; and Ilias Travlos,
Ioannis Gazoulis and Alexandros Tataridas, Agricultural University
of Athens, Greece
1 Introduction 183
2 Decision support systems for weed management: setting thresholds 184
3 The role of decision support systems in reducing herbicide use 187
4 Decision support systems and preventing herbicide resistance 189
5 Decision support systems and long-term management of a broad
spectrum of weed species 191
6 Increasing adoption of weed management decision support systems by
farmers 193
7 Conclusions 195
8 Where to look for further information 196
9 References 198
8 Advanced detection technologies for weed scouting 205
C. Fernandez-Quintanilla, J. Dorado and J. M. Peña, Instituto de
Ciencias Agrarias (CSIC), Spain; and D. Andújar, Centro de
Automatica y Robótica (CSIC), Spain
1 Introduction 205
2 Efficiency: optimizing herbicide treatments 207
3 S ubstitution: replacement of herbicide treatments for other control tactics 213
4 Redesign: contributing to agroecosystems sustainability 215
5 Conclusion and future trends 219
6 Where to look for further information 219
7 Acknowledgments 221
8 References 221
© Burleigh Dodds Science Publishing Limited, 2022. All rights reserved.
viii Contents
9 Advances in precision application technologies for weed
management 229
Ran N. Lati, Newe Ya’ar Research Center, Agricultural Research
Organization, Israel; Roland Gerhards, University of Hohenheim,
Germany; Hanan Eizenberg and Maor Matzrafi, Newe Ya’ar Research
Center, Agricultural Research Organization, Israel; Lior Blank,
Agricultural Research Organization – Volcani Center, Israel; and
Svend Christensen, University of Copenhagen, Denmark
1 Introduction 229
2 Advances in precision weed control systems 230
3 New technologies for optimizing application precision 235
4 Herbigation 243
5 S patial distribution patterns of weeds: the need for precise pre-emergence
management 245
6 Conclusion and future trends 246
7 Where to look for further information 247
8 References 247
10 Advances in mechanical weed control technologies 255
Bo Melander and Margaret R. McCollough, Aarhus University,
Denmark
1 Introduction 255
2 The mechanisms of mechanical weed control 257
3 Full-width cultivation 258
4 Inter-row cultivation 260
5 Intra-row cultivation 267
6 Future trends and conclusion 276
7 Where to look for further information 278
8 References 279
Part 3 Case studies
11 On-farm implementation of integrated weed management 285
M. M. Riemens and M. Elings, Wageningen University and Research,
The Netherlands
1 Introduction 285
2 Lack of available knowledge on integrated weed management 288
3 Limited evidence of efficiency, reliability and cost-effectiveness of
integrated weed management 289
4 Trade-offs with other attributes of the cropping system 290
5 Implementation of integrated weed management is complex 290
6 Infrastructure to support relevant learning by farmers 291
© Burleigh Dodds Science Publishing Limited, 2022. All rights reserved.
Contents ix
7 Individual values and beliefs of farmers 293
8 Resistance to change and farm objectives 294
9 Case study: Decision process for on-farm integrated weed management
amongst conventional European farmers 294
10 Conclusion 297
11 Future trends in research 298
12 Where to look for further information 298
13 Acknowledgements 299
14 References 299
12 Optimising integrated weed management in narrow-row crops 305
L. Bonin, ARVALIS-Institut du Végétal, France; R. Leskovšek,
Agricultural Institute of Slovenia, Slovenia; C. Moonen, Institute of
Life Science, Italy; W. Smith, NIAB, UK; and M. Sønderskov, Aarhus
University, Denmark
1 Introduction 305
2 Cropping system diversification 307
3 Cultivar choice and establishment 309
4 Field and soil management 311
5 Direct control 313
6 Case studies 315
7 Where to look for further information 332
8 References 333
13 Integrated weed management in grasslands 339
Urs Schaffner, CABI, Switzerland; Heinz Müller-Schärer, University of
Fribourg, Switzerland; and Andreas Lüscher, Agroscope, Switzerland
1 Introduction 339
2 The weed management toolbox for grasslands: prevention, cultural,
physical, chemical and biological control 341
3 Integrated weed management practices in grasslands 345
4 Integrating weed management practices: case studies 347
5 Future trends 353
6 Acknowledgements 354
7 References 355
14 Integrated weed management in perennial woody crops 361
Verónica Pedraza and José Luis González-Andújar, IAS-CSIC, Spain;
Victoire Huet and Paul Tuteirihia, NIAB EMR, UK; and Julien Lecourt,
Pôle Scientifique des vignobles Bernard Magrez, France
1 Introduction 361
2 Case study: olive orchards in Spain 363
3 Case study: vineyards in the UK 376
© Burleigh Dodds Science Publishing Limited, 2022. All rights reserved.