Future scenarios for plant phenotyping.
By Fabio Fiorani, U. Schurr. Annual Review of Plant Biology, 2013
933 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/dd5282b7736411bc88ae9d5f81c30bc7d8ddc158
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In Genetics
- A. Singh
- B. Singh
- Achim Walter
- Frank Liebisch
- Llorenç Cabrera-Bosquet
- T. Lebedeva
- A. Chernodubov
- Tony P. Pridmore
In Plant Science
- Massimo Minervini
- Sotirios A. Tsaftaris
- Hanno Scharr
- Christian Klukas
- Achim Walter
- Lei Li
- Danfeng Huang
- Qin Zhang
Citations in the corpus
- High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “Crop phenotyping aims to accurately and precisely obtain traits linked to crop growth status, yield, and resilience to environmental stress, at various scales ranging from cell to canopy [11].”
- HyperART: non-invasive quantification of leaf traits using hyperspectral absorption-reflectance-transmittance imaging (2015, background): “Background Breeding of stress resistant crops for sustainable agricultural purposes is coupled with the identification of targeted traits and their genetic background [1-4].”
- Genomic Selection for Forest Tree Improvement: Methods, Achievements and Perspectives (2020, background): “The situation has changed with the recent advent of high-throughput phenotyping (HTP) methods that are an integral part of plant phenomics and are based on obtaining images in various spectral regions and their subsequent computer processing [91].”
- Plant phenotyping: from bean weighing to image analysis (2015, background): “Throughout the last decade, the terms phenotyping and phenomics have more and more often been linked to non-destructive optical analyses of plant traits based on images [8,9].”
- Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, neutral): “Some studies have compared the different imaging techniques in plant phenotyping (Fiorani and Schurr, 2013; Zhao et al., 2019).”
- Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed! (2019, methodology): “Besides new breeding technologies such as CRISPR-Cas [13,14], digital phenotyping [15,16 ] will significantly form and influence plant resistance breeding.”
- Evaluation of leaf features in forest trees: Methods, techniques, obtainable information and limits (2015, neutral): “Phenotyping (Fiorani and Schurr, 2013) i.”
- Crop Phenomics: Current Status and Perspectives (2019, background): “In the past 10 years, great improvements have been made in researching and developing HTPPs (Furbank and Tester, 2011; Fiorani and Schurr, 2013; Virlet et al., 2016).”
- Breeding for increased nitrogen‐use efficiency: a review for wheat (T. aestivum L.) (2016, background): “The lack of high-throughput and large-scale phenotyping methods for root traits remains a bottleneck to gene discovery and selection for such traits in breeding programmes (Fiorani and Schurr 2013).”
- Marker-Assisted Plant Breeding: Principles and Practices (2015, methodology): “4), which make these facilities accessible to workers with limited financial resources (Fiorani and Schurr 2013).”