Special Issue "New Phenotyping Platforms for Field Trials"
A special issue of Agronomy (ISSN 2073-4395).
Deadline for manuscript submissions: closed (15 February 2014)
Prof. Dr. Hamlyn G. Jones
Plant Research Group, Division of Environmental and Applied Biology, University of Dundee at SCRI, Invergowrie, Dundee DD2 5DA, Scotland, UK
Prof. Dr. Adrian C. Newton
The James Hutton Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK; Visiting Professor of Cereal Pathology, SRUC, Edinburgh
Phone: +44 0 138 256 8824 (direct); +44 0 844 928 5428 (switchboard)
Fax: +44 0 844 928 5429
Interests: analysing epidemic spatial trends and local competition effects in heterogeneous vegetation; the effects of climate change particularly on plant disease; Mechanisms of foliar blight pathogen resistance in barley; developing resistance elicitors as crop protectants; Integrated Pest Management (IPM)
The ever increasing amount of DNA sequence information for crop species coupled with the developments in methods to assess sequence polymorphisms and the decrease in assay costs mean that detailed genotypic data can be rapidly and efficiently generated for most populations of most species. Such information has little value unless sequence variation in specific genomic regions of a crop can be interpreted as leading to measureable differences in characteristics or phenotype. Large effects on plant phenotypes can be detected in small populations but most of these have at least been well characterised if not assigned to cloned genes. Plant researchers and breeders are now working on more quantitative characters of smaller effect that require much larger populations to assign phenotypic differences to specific genomic regions. This has resulted in the so-called ‘phenotypic bottleneck’ where traditional assessments of field trials, e.g. recording visual symptoms of biotic and abiotic stress, major crop developmental stage recording, yield estimates from bags of harvested grain and post-harvest quantitative measurements limit the size of population that can be grown, as well as the accuracy and efficiency of measurement. Recent developments in imaging, data handling and remote sensing hold particular promise for high throughput screening of plant structural, developmental or physiological characters. For example 3D imaging and laser scanning can provide information on plant structure, while thermal imaging provides rapid diagnosis of plant responses to water stress, and hyperspectral sensing can provide information on biochemical and physiological responses of plants. It is important that such data is gathered in proper field environments where the ultimate target is to improve crop production that can be realised in agricultural situations.
Prof. Dr. Ulrich Schurr
Prof. Dr. Hamlyn G. Jones
Prof. Dr. Adrian C. Newton
Dr. William Thomas
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed Open Access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.
- remote sensing
- biotic and abiotic stress
- image analysis
- thermal imaging
- hyperspectral sensing
- 3-D structure
Agronomy 2014, 4(1), 108-123; doi:10.3390/agronomy4010108
Received: 4 December 2013; in revised form: 15 January 2014 / Accepted: 30 January 2014 / Published: 17 February 2014| PDF Full-text (2371 KB) | HTML Full-text | XML Full-text
Article: Effects of Field Plot Size on Variation in White Flower Anther Injury by Tarnished Plant Bug for Host Plant Resistance Evaluations in Arkansas Cotton
Agronomy 2014, 4(1), 144-164; doi:10.3390/agronomy4010144
Received: 4 December 2013; in revised form: 19 January 2014 / Accepted: 30 January 2014 / Published: 27 February 2014| PDF Full-text (1259 KB) | HTML Full-text | XML Full-text
Agronomy 2014, 4(2), 178-190; doi:10.3390/agronomy4020178
Received: 11 February 2014; in revised form: 12 March 2014 / Accepted: 14 March 2014 / Published: 27 March 2014| PDF Full-text (915 KB) | HTML Full-text | XML Full-text
Review: Field Phenotyping and Long-Term Platforms to Characterise How Crop Genotypes Interact with Soil Processes and the Environment
Agronomy 2014, 4(2), 242-278; doi:10.3390/agronomy4020242
Received: 28 February 2014; in revised form: 3 May 2014 / Accepted: 12 May 2014 / Published: 22 May 2014| PDF Full-text (1148 KB) | HTML Full-text | XML Full-text
Article: Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
Agronomy 2014, 4(2), 279-301; doi:10.3390/agronomy4020279
Received: 17 March 2014; in revised form: 20 May 2014 / Accepted: 21 May 2014 / Published: 17 June 2014| PDF Full-text (2088 KB)
Review: Assessing the Consequences of Microbial Infection in Field Trials: Seen, Unseen, Beneficial, Parasitic and Pathogenic
Agronomy 2014, 4(2), 302-321; doi:10.3390/agronomy4020302
Received: 28 February 2014; in revised form: 29 May 2014 / Accepted: 30 May 2014 / Published: 24 June 2014| PDF Full-text (398 KB) | HTML Full-text | XML Full-text
Agronomy 2014, 4(3), 322-336; doi:10.3390/agronomy4030322
Received: 19 February 2014; in revised form: 12 June 2014 / Accepted: 13 June 2014 / Published: 1 July 2014| PDF Full-text (1311 KB) | HTML Full-text | XML Full-text
Agronomy 2014, 4(3), 349-379; doi:10.3390/agronomy4030349
Received: 10 March 2014; in revised form: 23 May 2014 / Accepted: 30 May 2014 / Published: 10 July 2014| PDF Full-text (4941 KB)
Agronomy 2014, 4(3), 380-396; doi:10.3390/agronomy4030380
Received: 10 March 2014; in revised form: 2 June 2014 / Accepted: 25 June 2014 / Published: 23 July 2014| PDF Full-text (45972 KB) | HTML Full-text | XML Full-text
Agronomy 2014, 4(3), 397-417; doi:10.3390/agronomy4030397
Received: 29 April 2014; in revised form: 6 June 2014 / Accepted: 2 July 2014 / Published: 31 July 2014| PDF Full-text (6070 KB) | HTML Full-text | XML Full-text
Last update: 12 November 2013