Literature DB >> 24015692

Comparing simple root phenotyping methods on a core set of rice genotypes.

R Shrestha1, Z Al-Shugeairy, F Al-Ogaidi, M Munasinghe, M Radermacher, J Vandenhirtz, A H Price.   

Abstract

Interest in belowground plant growth is increasing, especially in relation to arguments that shallow-rooted cultivars are efficient at exploiting soil phosphorus while deep-rooted ones will access water at depth. However, methods for assessing roots in large numbers of plants are diverse and direct comparisons of methods are rare. Three methods for measuring root growth traits were evaluated for utility in discriminating rice cultivars: soil-filled rhizotrons, hydroponics and soil-filled pots whose bottom was sealed with a non-woven fabric (a potential method for assessing root penetration ability). A set of 38 rice genotypes including the OryzaSNP set of 20 cultivars, additional parents of mapping populations and products of marker-assisted selection for root QTLs were assessed. A novel method of image analysis for assessing rooting angles from rhizotron photographs was employed. The non-woven fabric was the easiest yet least discriminatory method, while the rhizotron was highly discriminatory and allowed the most traits to be measured but required more than three times the labour of the other methods. The hydroponics was both easy and discriminatory, allowed temporal measurements, but is most likely to suffer from artefacts. Image analysis of rhizotrons compared favourably to manual methods for discriminating between cultivars. Previous observations that cultivars from the indica subpopulation have shallower rooting angles than aus or japonica cultivars were confirmed in the rhizotrons, and indica and temperate japonicas had lower maximum root lengths in rhizotrons and hydroponics. It is concluded that rhizotrons are the preferred method for root screening, particularly since root angles can be assessed.
© 2013 German Botanical Society and The Royal Botanical Society of the Netherlands.

Entities:  

Keywords:  Angle; OryzaSNP; drought; image analysis; marker-assisted selection; rice; roots

Mesh:

Year:  2013        PMID: 24015692     DOI: 10.1111/plb.12096

Source DB:  PubMed          Journal:  Plant Biol (Stuttg)        ISSN: 1435-8603            Impact factor:   3.081


  10 in total

1.  Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures.

Authors:  Ni Jiang; Eric Floro; Adam L Bray; Benjamin Laws; Keith E Duncan; Christopher N Topp
Journal:  Plant Cell       Date:  2019-05-23       Impact factor: 11.277

Review 2.  A starting guide to root ecology: strengthening ecological concepts and standardising root classification, sampling, processing and trait measurements.

Authors:  Grégoire T Freschet; Loïc Pagès; Colleen M Iversen; Louise H Comas; Boris Rewald; Catherine Roumet; Jitka Klimešová; Marcin Zadworny; Hendrik Poorter; Johannes A Postma; Thomas S Adams; Agnieszka Bagniewska-Zadworna; A Glyn Bengough; Elison B Blancaflor; Ivano Brunner; Johannes H C Cornelissen; Eric Garnier; Arthur Gessler; Sarah E Hobbie; Ina C Meier; Liesje Mommer; Catherine Picon-Cochard; Laura Rose; Peter Ryser; Michael Scherer-Lorenzen; Nadejda A Soudzilovskaia; Alexia Stokes; Tao Sun; Oscar J Valverde-Barrantes; Monique Weemstra; Alexandra Weigelt; Nina Wurzburger; Larry M York; Sarah A Batterman; Moemy Gomes de Moraes; Štěpán Janeček; Hans Lambers; Verity Salmon; Nishanth Tharayil; M Luke McCormack
Journal:  New Phytol       Date:  2021-11       Impact factor: 10.323

3.  Environmental Response and Genomic Regions Correlated with Rice Root Growth and Yield under Drought in the OryzaSNP Panel across Multiple Study Systems.

Authors:  Len J Wade; Violeta Bartolome; Ramil Mauleon; Vivek Deshmuck Vasant; Sumeet Mankar Prabakar; Muthukumar Chelliah; Emi Kameoka; K Nagendra; K R Kamalnath Reddy; C Mohan Kumar Varma; Kalmeshwar Gouda Patil; Roshi Shrestha; Zaniab Al-Shugeairy; Faez Al-Ogaidi; Mayuri Munasinghe; Veeresh Gowda; Mande Semon; Roel R Suralta; Vinay Shenoy; Vincent Vadez; Rachid Serraj; H E Shashidhar; Akira Yamauchi; Ranganathan Chandra Babu; Adam Price; Kenneth L McNally; Amelia Henry
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

4.  Assessing the genetic diversity of rice originating from Bangladesh, Assam and West Bengal.

Authors:  Anthony J Travis; Gareth J Norton; Sutapa Datta; Ramendra Sarma; Tapash Dasgupta; Filipe L Savio; Malcolm Macaulay; Peter E Hedley; Kenneth L McNally; Mahmud H Sumon; M Rafiqul Islam; Adam H Price
Journal:  Rice (N Y)       Date:  2015-12-01       Impact factor: 4.783

Review 5.  IR64: a high-quality and high-yielding mega variety.

Authors:  David J Mackill; Gurdev S Khush
Journal:  Rice (N Y)       Date:  2018-04-09       Impact factor: 4.783

6.  Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions.

Authors:  Margaret Catolos; Nitika Sandhu; Shalabh Dixit; Noraziya A A Shamsudin; Ma E B Naredo; Kenneth L McNally; Amelia Henry; Ma G Diaz; Arvind Kumar
Journal:  Front Plant Sci       Date:  2017-10-16       Impact factor: 5.753

7.  Root-System Architectures of Two Cuban Rice Cultivars with Salt Stress at Early Development Stages.

Authors:  Alenna Vázquez-Glaría; Bettina Eichler-Löbermann; F G Loiret; Eduardo Ortega; Mareike Kavka
Journal:  Plants (Basel)       Date:  2021-06-11

Review 8.  Root Traits and Phenotyping Strategies for Plant Improvement.

Authors:  Ana Paez-Garcia; Christy M Motes; Wolf-Rüdiger Scheible; Rujin Chen; Elison B Blancaflor; Maria J Monteros
Journal:  Plants (Basel)       Date:  2015-06-15

9.  Genetic and root phenotype diversity in Sri Lankan rice landraces may be related to drought resistance.

Authors:  Mayuri Munasinghe; Adam H Price
Journal:  Rice (N Y)       Date:  2016-05-17       Impact factor: 4.783

10.  Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?

Authors:  Paulo Henrique Ramos Guimarães; Isabela Pereira de Lima; Adriano Pereira de Castro; Anna Cristina Lanna; Patrícia Guimarães Santos Melo; Marcel de Raïssac
Journal:  Rice (N Y)       Date:  2020-09-15       Impact factor: 4.783

  10 in total

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