Literature DB >> 12835937

Identifications of two different mechanisms for sorghum midge resistance through QTL mapping.

Y Z Tao1, A Hardy, J Drenth, R G Henzell, B A Franzmann, D R Jordan, D G Butler, C L McIntyre.   

Abstract

Sorghum midge is the one of the most damaging insect pests of grain sorghum production worldwide. At least three different mechanisms are involved in midge resistance. The genetic bases of these mechanisms, however, are poorly understood. In this study, for the first time, quantitative trait loci associated with two of the mechanisms of midge resistance, antixenosis and antibiosis, were identified in an RI (recombinant inbred) population from the cross of sorghum lines ICSV745 x 90562. Two genetic regions located on separate linkage groups were found to be associated with antixenosis and explained 12% and 15%, respectively, of the total variation in egg numbers/spikelet laid in a cage experiment. One region was significantly associated with antibiosis and explained 34.5% of the variation of the difference of egg and pupal counts in the RI population. The identification of genes for different mechanisms of midge resistance will be particularly useful for exploring new sources of midge resistance and for gene pyramiding of different mechanisms for increased security in sorghum breeding through marker-assisted selection.

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Year:  2003        PMID: 12835937     DOI: 10.1007/s00122-003-1217-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  14 in total

1.  Homologues of the maize rust resistance gene Rp1-D are genetically associated with a major rust resistance QTL in sorghum.

Authors:  C L McIntyre; S M Hermann; R E Casu; D Knight; J Drenth; Y Tao; S M Brumbley; I D Godwin; S Williams; G R Smith; J M Manners
Journal:  Theor Appl Genet       Date:  2004-05-20       Impact factor: 5.699

2.  Genetic components and major QTL confer resistance to bean pyralid (Lamprosema indicata Fabricius) under multiple environments in four RIL populations of soybean.

Authors:  Guangnan Xing; Bin Zhou; Yufeng Wang; Tuanjie Zhao; Deyue Yu; Shouyi Chen; Junyi Gai
Journal:  Theor Appl Genet       Date:  2012-05-12       Impact factor: 5.699

3.  Exploiting rice-sorghum synteny for targeted development of EST-SSRs to enrich the sorghum genetic linkage map.

Authors:  P Ramu; B Kassahun; S Senthilvel; C Ashok Kumar; B Jayashree; R T Folkertsma; L Ananda Reddy; M S Kuruvinashetti; B I G Haussmann; C T Hash
Journal:  Theor Appl Genet       Date:  2009-08-08       Impact factor: 5.699

4.  Integrating sorghum whole genome sequence information with a compendium of sorghum QTL studies reveals uneven distribution of QTL and of gene-rich regions with significant implications for crop improvement.

Authors:  E S Mace; D R Jordan
Journal:  Theor Appl Genet       Date:  2011-04-12       Impact factor: 5.699

5.  Impact of phenolic compounds and related enzymes in sorghum varieties for resistance and susceptibility to biotic and abiotic stresses.

Authors:  Mamoudou H Dicko; Harry Gruppen; Clarisse Barro; Alfred S Traore; Willem J H van Berkel; Alphons G J Voragen
Journal:  J Chem Ecol       Date:  2005-10-25       Impact factor: 2.626

6.  Location of major effect genes in sorghum (Sorghum bicolor (L.) Moench).

Authors:  E S Mace; D R Jordan
Journal:  Theor Appl Genet       Date:  2010-06-29       Impact factor: 5.699

7.  Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench].

Authors:  C Aruna; V R Bhagwat; R Madhusudhana; Vittal Sharma; T Hussain; R B Ghorade; H G Khandalkar; S Audilakshmi; N Seetharama
Journal:  Theor Appl Genet       Date:  2011-03-09       Impact factor: 5.699

8.  Identification of quantitative trait loci for resistance to shoot fly in sorghum [Sorghum bicolor (L.) Moench].

Authors:  K Satish; G Srinivas; R Madhusudhana; P G Padmaja; R Nagaraja Reddy; S Murali Mohan; N Seetharama
Journal:  Theor Appl Genet       Date:  2009-09-18       Impact factor: 5.699

9.  Host plant quantitative trait loci affect specific behavioral sequences in oviposition by a stem-mining insect.

Authors:  Andrea C Varella; David K Weaver; Robert K D Peterson; Jamie D Sherman; Megan L Hofland; Nancy K Blake; John M Martin; Luther E Talbert
Journal:  Theor Appl Genet       Date:  2016-10-05       Impact factor: 5.699

10.  A consensus genetic map of sorghum that integrates multiple component maps and high-throughput Diversity Array Technology (DArT) markers.

Authors:  Emma S Mace; Jean-Francois Rami; Sophie Bouchet; Patricia E Klein; Robert R Klein; Andrzej Kilian; Peter Wenzl; Ling Xia; Kirsten Halloran; David R Jordan
Journal:  BMC Plant Biol       Date:  2009-01-26       Impact factor: 4.215

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