A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist

Field-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environm...

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Main Authors: Xinxin Chen, Qishuo Ding, Ruiyin He, Huixin Li
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-09-01
Series:Artificial Intelligence in Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2589721719300315
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spelling doaj-a46c63c61c67471aab71be22266e09e02021-02-02T06:42:27ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172019-09-0133341A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assistXinxin Chen0Qishuo Ding1Ruiyin He2Huixin Li3College of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, Nanjing 210031, China; Corresponding author.Soil Ecology Lab, College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, ChinaField-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environmental changes are hindered due to deficiency of in situ root system architecture testing and quantitative methods for field crop. The present study aimed to propose a protocol for field-based wheat root system architecture with technical details of key operational procedures. Phenotyping of RSA traits from root spatial coordinate data acquisition and visualization software presented scaled illustrations of wheat RSA dynamics and root developmental phases which also revealed the root topological heterogeneities, either within a plant or among individuals. Percentage of horizontal and vertical soil coverage by root showed that root foraging capability along soil depth was better than within the horizontal dimension. In brief, our data indicated that FBP of wheat RSA could be achieved using the protocol of data-driven model-assisted phenotyping procedure. The proposed protocol was demonstrated useful for FBP of RSAs. It was proved effective to illustrate the topological structures of the wheat root system and to quantify RSA-derived parameters, this could be a useful tool for characterizing and analyzing the structural distortion, heterogeneous distribution and the soil space exploration characteristics of wheat root. Keywords: Field-based phenotyping (FPB), Data-driven model-assisted, Paddy-wheat root system architecture, FBP protocolhttp://www.sciencedirect.com/science/article/pii/S2589721719300315
collection DOAJ
language English
format Article
sources DOAJ
author Xinxin Chen
Qishuo Ding
Ruiyin He
Huixin Li
spellingShingle Xinxin Chen
Qishuo Ding
Ruiyin He
Huixin Li
A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
Artificial Intelligence in Agriculture
author_facet Xinxin Chen
Qishuo Ding
Ruiyin He
Huixin Li
author_sort Xinxin Chen
title A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
title_short A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
title_full A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
title_fullStr A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
title_full_unstemmed A protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
title_sort protocol of field-based phenotyping procedure for no-till wheat root system architecture based on data-driven model-assist
publisher KeAi Communications Co., Ltd.
series Artificial Intelligence in Agriculture
issn 2589-7217
publishDate 2019-09-01
description Field-based phenotyping (FBP) of crop root system architecture (RSA) provides a way to quantify the root growth and distribution in field with a smaller scale. Studies on a better understanding of the interrelations between field crop root physiological traits, root developmental phases and environmental changes are hindered due to deficiency of in situ root system architecture testing and quantitative methods for field crop. The present study aimed to propose a protocol for field-based wheat root system architecture with technical details of key operational procedures. Phenotyping of RSA traits from root spatial coordinate data acquisition and visualization software presented scaled illustrations of wheat RSA dynamics and root developmental phases which also revealed the root topological heterogeneities, either within a plant or among individuals. Percentage of horizontal and vertical soil coverage by root showed that root foraging capability along soil depth was better than within the horizontal dimension. In brief, our data indicated that FBP of wheat RSA could be achieved using the protocol of data-driven model-assisted phenotyping procedure. The proposed protocol was demonstrated useful for FBP of RSAs. It was proved effective to illustrate the topological structures of the wheat root system and to quantify RSA-derived parameters, this could be a useful tool for characterizing and analyzing the structural distortion, heterogeneous distribution and the soil space exploration characteristics of wheat root. Keywords: Field-based phenotyping (FPB), Data-driven model-assisted, Paddy-wheat root system architecture, FBP protocol
url http://www.sciencedirect.com/science/article/pii/S2589721719300315
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