Validation of Molecular Markers Linked with Yellow Mosaic Disease Resistance in Blackgram Vigna mungo (L.) Hepper  

Sowmini  K. , Jayamani Palaniappan
Department of Pulses, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore 641 003, India
Author    Correspondence author
Legume Genomics and Genetics, 2014, Vol. 5, No. 4   doi: 10.5376/lgg.2014.05.0004
Received: 26 Apr., 2014    Accepted: 03 Jun., 2014    Published: 17 Jun., 2014
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Sowmini and Jayamani, 2014, Validation of Molecular Markers Linked with Yellow Mosaic Disease Resistance in Blackgram Vigna mungo (L.) Hepper, Legume Genomics and Genetics, Vol.5, No.4, 25-30 (doi: 10.5376/lgg.2014.05.0004)

Abstract

Many factors are responsible for the low productivity of blackgram ranging from plant ideotype to biotic and abiotic stresses. Among the various diseases, yellow mosaic disease (YMD) was given special attention because of its severity and ability to cause damage  up to 100 percent. Four markers which were closely associated with YMD resistance viz., VMYR1, YR4, CYR1 and SCARISSR 811 were validated using 14 genotypes of blackgram. Disease screening was performed at two locations viz., Coimbatore and Vamban and disease reaction of the genotypes was observed to be similar in both the locations. The marker VMYR1 was monomorphic and not linked with YMD resistance genes. The other three markers viz., YR4, CYR1 and SCARISSR 811 behaved as a dominant marker that produced respective allele in the susceptible genotypes and absent in resistant genotypes with few deviation. Thus, these three markers were found to be partially linked with YMD resistance genes and it could be used in the MAS only for the genotypes whose marker data coincides with the disease reaction. The present study suggested that identification makers associated with YMD resistance genes and specific to south Indian viral species (MYMV) is highly important to develop YMD resistant varieties in blackgram.

Keywords
Vigna mungo; Blackgram; YMD resistance; Molecular markers; RGA; SCAR; Validation
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