D
D. R. Kindred
Researcher at ADAS
Publications - 42
Citations - 1591
D. R. Kindred is an academic researcher from ADAS. The author has contributed to research in topics: Agriculture & Crop yield. The author has an hindex of 18, co-authored 39 publications receiving 1250 citations. Previous affiliations of D. R. Kindred include University of Reading.
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Journal ArticleDOI
Analysing nitrogen responses of cereals to prioritize routes to the improvement of nitrogen use efficiency
TL;DR: In order to elicit faster improvement in NUE on farms, breeding and variety testing should be conducted at some sites with more than one level of applied N, and that grain N%, N harvest index, and perhaps canopy N ratio should be measured more widely.
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The potential for land sparing to offset greenhouse gas emissions from agriculture
Anthony Lamb,Rhys E. Green,Rhys E. Green,Ian J. Bateman,M. S. J. Broadmeadow,Toby J. A. Bruce,Jennifer Burney,Peter Carey,David R. Chadwick,Ellie Crane,Rob H. Field,Keith Goulding,Howard Griffiths,Astley Hastings,Tim Kasoar,D. R. Kindred,Ben Phalan,John A. Pickett,Pete Smith,Eileen Wall,Erasmus K.H.J. zu Ermgassen,Andrew Balmford +21 more
TL;DR: In this paper, the authors assess the technical mitigation potential offered by land sparing, increasing agricultural yields, reducing farmland area and actively restoring natural habitats on the land spared, and find that a land-sparing strategy has the technical potential to achieve significant reductions in net emissions from agriculture and land-use change.
Journal ArticleDOI
Effects of variety and fertiliser nitrogen on alcohol yield, grain yield, starch and protein content, and protein composition of winter wheat
D. R. Kindred,Tamara M.O. Verhoeven,R. M. Weightman,J. Stuart Swanston,R.C. Agu,James M. Brosnan,Roger Sylvester-Bradley +6 more
TL;DR: The effects of nitrogen (N) fertiliser on grain size and shape, starch and protein concentration, vitreosity, storage protein composition, and alcohol yield of two winter wheat varieties contrasting in endosperm texture were studied in a field trial in Herefordshire, UK in 2004 as mentioned in this paper.
Journal ArticleDOI
Cereal yield gaps across Europe
René Schils,Jørgen E. Olesen,Kurt Christian Kersebaum,Bert Rijk,Michael Oberforster,Valery Kalyada,Maksim Khitrykau,Anne Gobin,H. Kirchev,Vanya Manolova,Ivan Manolov,Mirek Trnka,Mirek Trnka,P. Hlavinka,Taru Palosuo,Pirjo Peltonen-Sainio,Lauri Jauhiainen,Josiane Lorgeou,Hélène Marrou,Nikos Danalatos,Sotirios V. Archontoulis,Nándor Fodor,John Spink,Pier Paolo Roggero,Simona Bassu,Antonio Pulina,Till Seehusen,Anne Kjersti Uhlen,Katarzyna Żyłowska,A Nierobca,Jerzy Kozyra,João Vasco Silva,Benvindo Martins Maçãs,José Coutinho,V. Ion,Jozef Takáč,M. Ines Minguez,Henrik Eckersten,Lilia Levy,Juan Manuel Herrera,Jürg Hiltbrunner,Oleksii Kryvobok,Oleksandr Kryvoshein,Roger Sylvester-Bradley,D. R. Kindred,Cairistiona F.E. Topp,Hendrik Boogaard,Hugo de Groot,Jan Peter Lesschen,Lenny G.J. van Bussel,Joost Wolf,Mink Zijlstra,Marloes P. van Loon,Martin K. van Ittersum +53 more
TL;DR: In this paper, the authors used a country-by-country, bottom-up approach to establish statistical estimates of actual grain yield, and compare these to modelled estimates of potential yields for either irrigated or rainfed conditions.
Journal ArticleDOI
Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data
Alex Okiemute Onojeghuo,George Alan Blackburn,Qunming Wang,Peter M. Atkinson,D. R. Kindred,Yuxin Miao +5 more
TL;DR: The results demonstrate the practicality of implementing RF or SVM machine learning algorithms to produce 10 m spatial resolution maps of paddy rice fields with limited ground data using a combination of multi-temporal SAR and NDVI data, where available, or SAR data alone.