Literature DB >> 32097567

Phenotyping: New Windows into the Plant for Breeders.

Michelle Watt1, Fabio Fiorani1, Björn Usadel1,2, Uwe Rascher1, Onno Muller1, Ulrich Schurr1.   

Abstract

Plant phenotyping enables noninvasive quantification of plant structure and function and interactions with environments. High-capacity phenotyping reaches hitherto inaccessible phenotypic characteristics. Diverse, challenging, and valuable applications of phenotyping have originated among scientists, prebreeders, and breeders as they study the phenotypic diversity of genetic resources and apply increasingly complex traits to crop improvement. Noninvasive technologies are used to analyze experimental and breeding populations. We cover the most recent research in controlled-environment and field phenotyping for seed, shoot, and root traits. Select field phenotyping technologies have become state of the art and show promise for speeding up the breeding process in early generations. We highlight the technologies behind the rapid advances in proximal and remote sensing of plants in fields. We conclude by discussing the new disciplines working with the phenotyping community: data science, to address the challenge of generating FAIR (findable, accessible, interoperable, and reusable) data, and robotics, to apply phenotyping directly on farms.

Keywords:  agriculture; field phenotyping; integrated data management; phenotyping networks; root phenotyping; sustainability

Mesh:

Year:  2020        PMID: 32097567     DOI: 10.1146/annurev-arplant-042916-041124

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  15 in total

1.  Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy.

Authors:  Erekle Chakhvashvili; Bastian Siegmann; Onno Muller; Jochem Verrelst; Juliane Bendig; Thorsten Kraska; Uwe Rascher
Journal:  Remote Sens (Basel)       Date:  2022-03-03       Impact factor: 5.349

2.  High-throughput field crop phenotyping: current status and challenges.

Authors:  Seishi Ninomiya
Journal:  Breed Sci       Date:  2022-02-17       Impact factor: 2.014

Review 3.  Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques.

Authors:  Xi Zhang; Yi Man; Xiaohong Zhuang; Jinbo Shen; Yi Zhang; Yaning Cui; Meng Yu; Jingjing Xing; Guangchao Wang; Na Lian; Zijian Hu; Lingyu Ma; Weiwei Shen; Shunyao Yang; Huimin Xu; Jiahui Bian; Yanping Jing; Xiaojuan Li; Ruili Li; Tonglin Mao; Yuling Jiao; Haiyun Ren; Jinxing Lin
Journal:  Sci China Life Sci       Date:  2021-03-12       Impact factor: 6.038

4.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

5.  Shoot and Root Traits Underlying Genotypic Variation in Early Vigor and Nutrient Accumulation in Spring Wheat Grown in High-Latitude Light Conditions.

Authors:  Hui Liu; Fabio Fiorani; Ortrud Jäck; Tino Colombi; Kerstin A Nagel; Martin Weih
Journal:  Plants (Basel)       Date:  2021-01-18

6.  Identification of the QTL-allele System Underlying Two High-Throughput Physiological Traits in the Chinese Soybean Germplasm Population.

Authors:  Lei Wang; Fangdong Liu; Xiaoshuai Hao; Wubin Wang; Guangnan Xing; Jingjing Luo; Guodong Zhou; Jianbo He; Junyi Gai
Journal:  Front Genet       Date:  2021-02-25       Impact factor: 4.599

7.  Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018.

Authors:  Cyril Pommier; Trevor Garnett; Carolyn J Lawrence-Dill; Tony Pridmore; Michelle Watt; Roland Pieruschka; Kioumars Ghamkhar
Journal:  Front Plant Sci       Date:  2020-12-04       Impact factor: 5.753

8.  Development of high-resolution multiple-SNP arrays for genetic analyses and molecular breeding through genotyping by target sequencing and liquid chip.

Authors:  Zifeng Guo; Quannv Yang; Feifei Huang; Hongjian Zheng; Zhiqin Sang; Yanfen Xu; Cong Zhang; Kunsheng Wu; Jiajun Tao; Boddupalli M Prasanna; Michael S Olsen; Yunbo Wang; Jianan Zhang; Yunbi Xu
Journal:  Plant Commun       Date:  2021-08-09

9.  Morphological and Physiological Traits Associated with Yield under Reduced Irrigation in Chilean Coastal Lowland Quinoa.

Authors:  Kathryn Dumschott; Nathalie Wuyts; Christian Alfaro; Dalma Castillo; Fabio Fiorani; Andrés Zurita-Silva
Journal:  Plants (Basel)       Date:  2022-01-26

10.  Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery.

Authors:  Ting Liang; Bo Duan; Xiaoyun Luo; Yi Ma; Zhengqing Yuan; Renshan Zhu; Yi Peng; Yan Gong; Shenghui Fang; Xianting Wu
Journal:  Front Plant Sci       Date:  2021-12-03       Impact factor: 5.753

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