Literature DB >> 17949936

Yield-enhancing quantitative trait loci (QTLs) from wild species.

B P Mallikarjuna Swamy1, N Sarla.   

Abstract

Wild species of crop plants are increasingly being used to improve various agronomic traits including yield in cultivars. Dense molecular maps have enabled mapping of quantitative trait loci (QTLs) for complex traits such as yield. QTLs for increased yield have been identified from wild relatives of several crop plants. Advanced backcross QTL analysis has been used to identify naturally occurring favorable QTL alleles for yield and minimize the effect of unwanted alleles from wild species. Yield QTLs from wild species are distributed on almost all chromosomes but more often in some regions. Many QTLs for yield and related traits derived from different wild accessions or species map to identical chromosomal regions. QTLs for highly correlated yield associated traits are also often co-located implying linkage or pleiotropic effects. Many QTLs have been detected in more than one environment and in more than one genetic background. The overall direction of effect of some QTLs however, may vary with genetic context. Thus, there is evidence of stable and consistent major effect yield-enhancing QTLs derived from wild species in several crops. Such QTLs are good targets for use in marker assisted selection though their context-dependency is a major constraint. Literature on yield QTLs mapped from wild species is summarized with special reference to rice and tomato.

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Year:  2007        PMID: 17949936     DOI: 10.1016/j.biotechadv.2007.09.005

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  22 in total

1.  Field level evaluation of rice introgression lines for heat tolerance and validation of markers linked to spikelet fertility.

Authors:  V Vishnu Prasanth; Kumari Ramana Basava; M Suchandranath Babu; Venkata Tripura V G N; S J S Rama Devi; S K Mangrauthia; S R Voleti; N Sarla
Journal:  Physiol Mol Biol Plants       Date:  2016-04-15

2.  ISSR markers based on GA and AG repeats reveal genetic relationship among rice varieties tolerant to drought, flood, or salinity.

Authors:  Ch Surendhar Reddy; A Prasad Babu; B P Mallikarjuna Swamy; K Kaladhar; N Sarla
Journal:  J Zhejiang Univ Sci B       Date:  2009-02       Impact factor: 3.066

3.  Os11Gsk gene from a wild rice, Oryza rufipogon improves yield in rice.

Authors:  Sudhakar Thalapati; Anil K Batchu; Sarla Neelamraju; Rajeshwari Ramanan
Journal:  Funct Integr Genomics       Date:  2012-02-25       Impact factor: 3.410

4.  Characterization of backcross introgression lines derived from Oryza nivara accessions for photosynthesis and yield.

Authors:  Yadavalli Venkateswara Rao; Divya Balakrishnan; Krishnam Raju Addanki; Sukumar Mesapogu; Thuraga Vishnu Kiran; Desiraju Subrahmanyam; Sarla Neelamraju; Sitapathi Rao Voleti
Journal:  Physiol Mol Biol Plants       Date:  2018-07-13

5.  Mapping and introgression of QTL for yield and related traits in two backcross populations derived from Oryza sativa cv. Swarna and two accessions of O. nivara.

Authors:  B P Mallikarjuna Swamy; K Kaladhar; G Ashok Reddy; B C Viraktamath; N Sarla
Journal:  J Genet       Date:  2014-12       Impact factor: 1.166

Review 6.  Strategies for utilization of crop wild relatives in plant breeding programs.

Authors:  Anamika Kashyap; Pooja Garg; Kunal Tanwar; Jyoti Sharma; Navin C Gupta; Pham Thi Thu Ha; R C Bhattacharya; Annaliese S Mason; Mahesh Rao
Journal:  Theor Appl Genet       Date:  2022-09-22       Impact factor: 5.574

Review 7.  Development and use of chromosome segment substitution lines as a genetic resource for crop improvement.

Authors:  Divya Balakrishnan; Malathi Surapaneni; Sukumar Mesapogu; Sarla Neelamraju
Journal:  Theor Appl Genet       Date:  2018-11-27       Impact factor: 5.699

8.  Targeted gene disruption coupled with metabolic screen approach to uncover the LEAFY COTYLEDON1-LIKE4 (L1L4) function in tomato fruit metabolism.

Authors:  Custódia Gago; Victoria Drosou; Konstantinos Paschalidis; Adriana Guerreiro; Graça Miguel; Dulce Antunes; Zoe Hilioti
Journal:  Plant Cell Rep       Date:  2017-04-08       Impact factor: 4.570

9.  Meta-analysis of grain yield QTL identified during agricultural drought in grasses showed consensus.

Authors:  B P Mallikarjuna Swamy; Prashant Vikram; Shalabh Dixit; H U Ahmed; Arvind Kumar
Journal:  BMC Genomics       Date:  2011-06-16       Impact factor: 3.969

10.  Fostered and left behind alleles in peanut: interspecific QTL mapping reveals footprints of domestication and useful natural variation for breeding.

Authors:  Daniel Fonceka; Hodo-Abalo Tossim; Ronan Rivallan; Hélène Vignes; Issa Faye; Ousmane Ndoye; Márcio C Moretzsohn; David J Bertioli; Jean-Christophe Glaszmann; Brigitte Courtois; Jean-François Rami
Journal:  BMC Plant Biol       Date:  2012-02-17       Impact factor: 4.215

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