Literature DB >> 22443263

Phenotyping for abiotic stress tolerance in maize.

Benhilda Masuka1, Jose Luis Araus, Biswanath Das, Kai Sonder, Jill E Cairns.   

Abstract

The ability to quickly develop germplasm having tolerance to several complex polygenic inherited abiotic and biotic stresses combined is critical to the resilience of cropping systems in the face of climate change. Molecular breeding offers the tools to accelerate cereal breeding; however, suitable phenotyping protocols are essential to ensure that the much-anticipated benefits of molecular breeding can be realized. To facilitate the full potential of molecular tools, greater emphasis needs to be given to reducing the within-experimental site variability, application of stress and characterization of the environment and appropriate phenotyping tools. Yield is a function of many processes throughout the plant cycle, and thus integrative traits that encompass crop performance over time or organization level (i.e. canopy level) will provide a better alternative to instantaneous measurements which provide only a snapshot of a given plant process. Many new phenotyping tools based on remote sensing are now available including non-destructive measurements of growth-related parameters based on spectral reflectance and infrared thermometry to estimate plant water status. Here we describe key field phenotyping protocols for maize with emphasis on tolerance to drought and low nitrogen.
© 2012 Institute of Botany, Chinese Academy of Sciences.

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Year:  2012        PMID: 22443263     DOI: 10.1111/j.1744-7909.2012.01118.x

Source DB:  PubMed          Journal:  J Integr Plant Biol        ISSN: 1672-9072            Impact factor:   7.061


  25 in total

1.  QTL mapping in three tropical maize populations reveals a set of constitutive and adaptive genomic regions for drought tolerance.

Authors:  Gustavo Dias Almeida; Dan Makumbi; Cosmos Magorokosho; Sudha Nair; Aluízio Borém; Jean-Marcel Ribaut; Marianne Bänziger; Boddupalli M Prasanna; Jose Crossa; Raman Babu
Journal:  Theor Appl Genet       Date:  2012-11-04       Impact factor: 5.699

2.  Phenotyping maize for adaptation to drought.

Authors:  Jose L Araus; María D Serret; Gregory O Edmeades
Journal:  Front Physiol       Date:  2012-08-10       Impact factor: 4.566

3.  Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize.

Authors:  M Zaman-Allah; O Vergara; J L Araus; A Tarekegne; C Magorokosho; P J Zarco-Tejada; A Hornero; A Hernández Albà; B Das; P Craufurd; M Olsen; B M Prasanna; J Cairns
Journal:  Plant Methods       Date:  2015-06-24       Impact factor: 4.993

4.  A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization.

Authors:  Omar Vergara-Díaz; Mainassara A Zaman-Allah; Benhildah Masuka; Alberto Hornero; Pablo Zarco-Tejada; Boddupalli M Prasanna; Jill E Cairns; José L Araus
Journal:  Front Plant Sci       Date:  2016-05-18       Impact factor: 5.753

5.  The OsERF115/AP2EREBP110 Transcription Factor Is Involved in the Multiple Stress Tolerance to Heat and Drought in Rice Plants.

Authors:  Seong-Im Park; Hyeok Jin Kwon; Mi Hyeon Cho; Ji Sun Song; Beom-Gi Kim; JeongHo Baek; Song Lim Kim; HyeonSo Ji; Taek-Ryoun Kwon; Kyung-Hwan Kim; In Sun Yoon
Journal:  Int J Mol Sci       Date:  2021-07-02       Impact factor: 5.923

6.  From manual curation to visualization of gene families and networks across Solanaceae plant species.

Authors:  Anuradha Pujar; Naama Menda; Aureliano Bombarely; Jeremy D Edwards; Susan R Strickler; Lukas A Mueller
Journal:  Database (Oxford)       Date:  2013-05-15       Impact factor: 3.451

Review 7.  Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement.

Authors:  Joshua N Cobb; Genevieve Declerck; Anthony Greenberg; Randy Clark; Susan McCouch
Journal:  Theor Appl Genet       Date:  2013-03-08       Impact factor: 5.699

8.  Increased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data.

Authors:  Bettina Lado; Ivan Matus; Alejandra Rodríguez; Luis Inostroza; Jesse Poland; François Belzile; Alejandro del Pozo; Martín Quincke; Marina Castro; Jarislav von Zitzewitz
Journal:  G3 (Bethesda)       Date:  2013-12-09       Impact factor: 3.154

9.  Molecular mapping across three populations reveals a QTL hotspot region on chromosome 3 for secondary traits associated with drought tolerance in tropical maize.

Authors:  Gustavo Dias Almeida; Sudha Nair; Aluízio Borém; Jill Cairns; Samuel Trachsel; Jean-Marcel Ribaut; Marianne Bänziger; Boddupalli M Prasanna; Jose Crossa; Raman Babu
Journal:  Mol Breed       Date:  2014-03-16       Impact factor: 2.589

10.  Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints.

Authors:  Nicolas Virlet; Valentine Lebourgeois; Sébastien Martinez; Evelyne Costes; Sylvain Labbé; Jean-Luc Regnard
Journal:  J Exp Bot       Date:  2014-07-30       Impact factor: 6.992

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