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What is cost-efficient phenotyping? Optimizing costs for different scenarios.
Reynolds, Daniel; Baret, Frederic; Welcker, Claude; Bostrom, Aaron; Ball, Joshua; Cellini, Francesco; Lorence, Argelia; Chawade, Aakash; Khafif, Mehdi; Noshita, Koji; Mueller-Linow, Mark; Zhou, Ji; Tardieu, François.
Afiliação
  • Reynolds D; Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK.
  • Baret F; INRA EMMAH - CAPTE, address, Avignon, France.
  • Welcker C; INRA Univ Montpellier, LEPSE, 2 place Viala 34060 Montpellier, France.
  • Bostrom A; Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK.
  • Ball J; Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK.
  • Cellini F; Agenzia Lucana di Sviluppo e di Innovazione in Agricoltura, 75010, Metaponto, MT, Italy.
  • Lorence A; Phenomics Facility, Arkansas Biosciences Institute, Arkansas State University, Jonesboro, Arkansas, USA.
  • Chawade A; Department of Plant Breeding, Swedish University of Agricultural Sciences (SLU), P.O. Box 101, 230 53 Alnarp, Sweden.
  • Khafif M; Université de Toulouse, INRA, CNRS, LIPM Castanet-Tolosan, France.
  • Noshita K; Japan Science and Technology Agency (JST), Precursory Research for Embryonic Science and Technology (PRESTO), Graduate School of Agriculture and Life Science, The University of Tokyo, Japan.
  • Mueller-Linow M; Institute of Bio- and Geosciences (IBG), IBG-2: Plant Sciences, Forschungszentrum Juelich GmbH, Juelich, Germany.
  • Zhou J; Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK; Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing, 210095, China. Electronic address: ji.zhou@earlham.ac.uk.
  • Tardieu F; INRA Univ Montpellier, LEPSE, 2 place Viala 34060 Montpellier, France. Electronic address: francois.tardieu@inra.fr.
Plant Sci ; 282: 14-22, 2019 May.
Article em En | MEDLINE | ID: mdl-31003607
Progress in remote sensing and robotic technologies decreases the hardware costs of phenotyping. Here, we first review cost-effective imaging devices and environmental sensors, and present a trade-off between investment and manpower costs. We then discuss the structure of costs in various real-world scenarios. Hand-held low-cost sensors are suitable for quick and infrequent plant diagnostic measurements. In experiments for genetic or agronomic analyses, (i) major costs arise from plant handling and manpower; (ii) the total costs per plant/microplot are similar in robotized platform or field experiments with drones, hand-held or robotized ground vehicles; (iii) the cost of vehicles carrying sensors represents only 5-26% of the total costs. These conclusions depend on the context, in particular for labor cost, the quantitative demand of phenotyping and the number of days available for phenotypic measurements due to climatic constraints. Data analysis represents 10-20% of total cost if pipelines have already been developed. A trade-off exists between the initial high cost of pipeline development and labor cost of manual operations. Overall, depending on the context and objsectives, "cost-effective" phenotyping may involve either low investment ("affordable phenotyping"), or initial high investments in sensors, vehicles and pipelines that result in higher quality and lower operational costs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Análise Custo-Benefício Tipo de estudo: Guideline / Health_economic_evaluation Idioma: En Revista: Plant Sci Ano de publicação: 2019 Tipo de documento: Article País de publicação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Análise Custo-Benefício Tipo de estudo: Guideline / Health_economic_evaluation Idioma: En Revista: Plant Sci Ano de publicação: 2019 Tipo de documento: Article País de publicação: Irlanda