PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture

Martins, S. M.; Brito, Giovani Greigh de; Gonçalves, Washington da Conceição; Tripode, B. M. D.; Lartaud, Marc; Duarte, João Batista; Morello, C. de L.; Giband, Marc

doi:10.1590/1678-992x-2018-0420

Cited by 16 publications

(4 citation statements)

References 15 publications

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“…Therefore, Treurnicht, Pagel & Esler (2015) developed a novel phenotyping system, GROWSCREENRhizo, that can image roots at a throughput of 60 rhizotrons per hour, as verified by analyzing the root system of two dicot and four monocot plant species. Other platforms based on soil culture include GLO-Roots ( Rubén et al, 2015 ), GLO-Bot ( LaRue et al, 2021 ), PhenoRoots ( Martins et al, 2020 ), and WinRoots ( Zhang et al, 2021a ). These methods can be used to obtain pictures of naturally growing roots.…”

Section: Survey Methodologymentioning

confidence: 99%

Recent advances in methods for in situ root phenotyping

Zhu

et al. 2022

PeerJ

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Roots assist plants in absorbing water and nutrients from soil. Thus, they are vital to the survival of nearly all land plants, considering that plants cannot move to seek optimal environmental conditions. Crop species with optimal root system are essential for future food security and key to improving agricultural productivity and sustainability. Root systems can be improved and bred to acquire soil resources efficiently and effectively. This can also reduce adverse environmental impacts by decreasing the need for fertilization and fresh water. Therefore, there is a need to improve and breed crop cultivars with favorable root system. However, the lack of high-throughput root phenotyping tools for characterizing root traits in situ is a barrier to breeding for root system improvement. In recent years, many breakthroughs in the measurement and analysis of roots in a root system have been made. Here, we describe the major advances in root image acquisition and analysis technologies and summarize the advantages and disadvantages of each method. Furthermore, we look forward to the future development direction and trend of root phenotyping methods. This review aims to aid researchers in choosing a more appropriate method for improving the root system.

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Section: Survey Methodologymentioning

confidence: 99%

Recent advances in methods for in situ root phenotyping

Zhu

et al. 2022

PeerJ

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“…However, root morphology is not easy to evaluate. Therefore, several methodologies of root morphology phenotyping have been developed, such as the PhenoRoots for seeking greater practicality and accuracy in evaluations (Martins et al, 2019), the high throughput phenotyping platform for nodal root angle screening (Joshi et al, 2017), and among other methodologies (Parra-Londono et al, 2018a;Wasaya et al, 2018;Magalhães et al, 2016). In addition, genomic regions associated with root morphology have been identified in sorghum and could help select drought-tolerant genotypes (Li et al, 2014;Mace et al, 2012).…”

Section: A Brief History Of Sorghum Breeding In Brazilmentioning

confidence: 99%

Breeding Sorghum for Grain, Forage and Bioenergy in Brazil

Pinho¹,

SILV²,

Oliveira³

et al. 2022

RBMS

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Sorghum is a versatile crop used for energy production, human and animal feedings, and raw material for industry. The grain sorghum is the fifth most important cereal worldwide, and Brazil is one of the top 10 sorghum producers. In the last 40 years, the sorghum grain yield in Brazil has increased to 32.70 kg ha-1 year -1. Although this clear evolution, much remains to be done, and sorghum breeders in Brazil still face several challenges. This review discusses the main characteristics of sorghum genetics and breeding, aiming for sorghum improvement for food, fodder, feed, and fuel uses. Herein will be highlighted essential topics related to the genetic control of the main interest traits; conventional sorghum breeding; the development of sorghum lines and hybrids; the use of male-sterility in sorghum breeding; the implication of genotypes-by-environments interaction in sorghum, the use of genome-wide association studies, and genomic prediction to maximize the efficiency of the sorghum breeding programs.

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“…Recent reviews highlight a variety of root phenotyping methods that are available (Kuijken et Tracy et al 2020). However, the study of crop root biomass and allocation at a population scale in the eld is still obstructed by the challenges related to root phenotyping (Wasson et al 2012;Joshi et al 2017; Martins et al 2019). Controlled environment phenotyping, both destructive and non-destructive, is an alternative to eld-based methods.…”

Section: Introductionmentioning

confidence: 99%

Easy-to-build rhizobox method to support wheat root research and breeding for future production systems

Rambla

Kang²,

Ober³

et al. 2023

Preprint

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Aims Rhizoboxes allow non-invasive phenotyping of root systems and are often used as an alternative to evaluation in the field which typically requires excavation, a laborious endeavour. Semi-automated rhizobox methods can be used to screen large numbers of plants, but these platforms can be expensive due to the cost of customised components, assembly, and maintenance, which limits the accessibility for many root researchers. To widen access to the rhizobox method—for example for preliminary screening of germplasm for root system architecture traits—we present a method to build a simple, low-cost rhizobox method using widely available materials, which should allow any research group to conduct root experiments and phenotype root system architecture in their own laboratories and greenhouses. Methods The detailed construction of 80 wooden rhizoboxes is described (each 40 cm width x 90 cm height x 6 cm depth; total cost 1,786 AUD, or 22 AUD or [$15 USD] per rhizobox). Using a panel of 20 spring wheat lines, including parental lines and derived intro-selection lines selected for divergent seedling root traits (seminal root angle and root biomass), genotypic variation in root biomass distribution were examined in the upper (0–30 cm), middle (30–60 cm) and lower sections (60–90 cm) of the rhizobox. At the conclusion of the experiment, rhizobox covers were removed and the exposed roots were imaged prior to destructive root washing. Root morphological traits were extracted from the images using RhizoVision Explorer (Seethepalli and York 2020). Results There were significant genotypic differences in total root biomass in the upper and middle sections of the rhizobox, but differences were not detected in the deepest section. Compared with the recurrent elite parent Borlaug100, some of the intro-selection lines showed greater biomass (or less), depending on the status of the root biomass QTL on chromosome 5B. Genotypes also differed in shoot biomass and tiller number. The donor lines for high and low root biomass showed corresponding differences in shoot biomass. Additional root parameters such as total root length and branching frequency were obtained through image analysis and genotypic effects were detected at different depths. Conclusions The rhizobox set up is easy-to-build-and-implement for phenotyping the root distribution of wheat. This will support root research and breeding efforts to identify and utilise sources of genetic variation for target root traits that are needed to develop future wheat cultivars with improved resource use efficiency and yield stability.

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PhenoRoots: an inexpensive non-invasive phenotyping system to assess the variability of the root system architecture

Cited by 16 publications

References 15 publications

Recent advances in methods for in situ root phenotyping

Recent advances in methods for in situ root phenotyping

Breeding Sorghum for Grain, Forage and Bioenergy in Brazil

Easy-to-build rhizobox method to support wheat root research and breeding for future production systems

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