Roadmap to High Throughput Phenotyping for Plant Breeding

Kim, James Y.

doi:10.1007/s42853-020-00043-0

Cited by 25 publications

(21 citation statements)

References 74 publications

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“…Traditional phenotyping methods to select for drought tolerance are often time and cost ineffective, and less reliable due to single timepoint measurements. New generation high-throughput phenotyping technologies play a critical role in hastening the selection of elite genotypes that are highly water efficient [77,78]. Image-based measurements form a key component of current high-throughput phenotyping technology, where pixel values can be used as surrogates to measure biomass and other plant parameters [79].…”

Section: Discussionmentioning

confidence: 99%

High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance

et al. 2021

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Drought is one of the most severe and unpredictable abiotic stresses, occurring at any growth stage and affecting crop yields worldwide. Therefore, it is essential to develop drought tolerant varieties to ensure sustainable crop production in an ever-changing climate. High-throughput digital phenotyping technologies in tandem with robust screening methods enable precise and faster selection of genotypes for breeding. To investigate the use of digital imaging to reliably phenotype for drought tolerance, a genetically diverse safflower population was screened under different drought stresses at Agriculture Victoria’s high-throughput, automated phenotyping platform, Plant Phenomics Victoria, Horsham. In the first experiment, four treatments, control (90% field capacity; FC), 40% FC at initial branching, 40% FC at flowering and 50% FC at initial branching and flowering, were applied to assess the performance of four safflower genotypes. Based on these results, drought stress using 50% FC at initial branching and flowering stages was chosen to further screen 200 diverse safflower genotypes. Measured plant traits and dry biomass showed high correlations with derived digital traits including estimated shoot biomass, convex hull area, caliper length and minimum area rectangle, indicating the viability of using digital traits as proxy measures for plant growth. Estimated shoot biomass showed close association having moderately high correlation with drought indices yield index, stress tolerance index, geometric mean productivity, and mean productivity. Diverse genotypes were classified into four clusters of drought tolerance based on their performance (seed yield and digitally estimated shoot biomass) under stress. Overall, results show that rapid and precise image-based, high-throughput phenotyping in controlled environments can be used to effectively differentiate response to drought stress in a large numbers of safflower genotypes.

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Section: Discussionmentioning

confidence: 99%

High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance

et al. 2021

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“…It is worth noting that the development, selection, and utilization of HT3Ps should be orientated by concrete project requirements, specific phenotypic tasks, and practical application scenarios, such as the field coverage (Kim, 2020 ), rather than assuming that more devices, technologies, and funds with which the HT3P is equipped, the better; partly because the collection of a large amount of data does not mean all of it is useful (Haagsma et al, 2020 ). Even in some cases, the experimental effects of applying single and multiple sensors are identical (Meacham-Hensold et al, 2020 ), and the data obtained from multiple devices are redundant.…”

Section: Future Prospects For Ht3pmentioning

confidence: 99%

“…The growth and development of plants, involving their photosynthesis, transpiration, flowering, and fruiting processes, are the basis of life on earth, and support 7.5 billion people (Pieruschka and Schurr, 2019 ). Unfortunately, the agriculture that sustains humanity is now facing three stark challenges at once: climate change, resource depletion, and population growth (Kim, 2020 ). In the next 30 years, the global population is expected to grow by 25% to 10 billion (Hickey et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field

Quan

Song

et al. 2021

Front. Bioeng. Biotechnol.

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Food scarcity, population growth, and global climate change have propelled crop yield growth driven by high-throughput phenotyping into the era of big data. However, access to large-scale phenotypic data has now become a critical barrier that phenomics urgently must overcome. Fortunately, the high-throughput plant phenotyping platform (HT3P), employing advanced sensors and data collection systems, can take full advantage of non-destructive and high-throughput methods to monitor, quantify, and evaluate specific phenotypes for large-scale agricultural experiments, and it can effectively perform phenotypic tasks that traditional phenotyping could not do. In this way, HT3Ps are novel and powerful tools, for which various commercial, customized, and even self-developed ones have been recently introduced in rising numbers. Here, we review these HT3Ps in nearly 7 years from greenhouses and growth chambers to the field, and from ground-based proximal phenotyping to aerial large-scale remote sensing. Platform configurations, novelties, operating modes, current developments, as well the strengths and weaknesses of diverse types of HT3Ps are thoroughly and clearly described. Then, miscellaneous combinations of HT3Ps for comparative validation and comprehensive analysis are systematically present, for the first time. Finally, we consider current phenotypic challenges and provide fresh perspectives on future development trends of HT3Ps. This review aims to provide ideas, thoughts, and insights for the optimal selection, exploitation, and utilization of HT3Ps, and thereby pave the way to break through current phenotyping bottlenecks in botany.

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“…To predict traits of interest, a reliable, precise, and fast largescale process is required. Recently, a lot of effort has been put to develop automated platforms to expedite plant phenotyping (Kim 2020).…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement

et al. 2021

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Development of high-throughput phenotyping technologies has progressed considerably in the last 10 years. These technologies provide precise measurements of desired traits among thousands of field-grown plants under diversified environments; this is a critical step towards selection of better performing lines as to yield, disease resistance, and stress tolerance to accelerate crop improvement programs. High-throughput phenotyping techniques and platforms help unraveling the genetic basis of complex traits associated with plant growth and development and targeted traits. This review focuses on the advancements in technologies involved in high-throughput, field-based, aerial, and unmanned platforms. Development of user-friendly data management tools and softwares to better understand phenotyping will increase the use of field-based high-throughput techniques, which have potential to revolutionize breeding strategies and meet the future needs of stakeholders.

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Roadmap to High Throughput Phenotyping for Plant Breeding

Cited by 25 publications

References 74 publications

High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance

High-throughput phenotyping to dissect genotypic differences in safflower for drought tolerance

High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field

High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement

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