R. M. Sundaram
Articles written in Journal of Genetics
Volume 90 Issue 1 April 2011 pp 11-19 Research Article
Vikas Kumar Singh Priti Upadhyay Pallavi Sinha Ashish Kumar Mall Sanjay Kumar Jaiswal Atul Singh Ranjith Kumar Ellur Sunil Biradar R. M. Sundaram Sukhpal Singh Ilyas Ahmed B. Mishra A. K. Singh C. Kole
A set of morphological traits and SSR markers were used to determine the genetic relationship among 12 elite thermosensitive genic male sterile (TGMS) lines developed at three different research institutions of India. Agro-morphological data recorded on 20 morphological traits revealed a wide base of genetic variation and a set of four morphological traits could distinguish most of the TGMS lines. Analysis with 30 SSR markers (20 EST-SSRs and 10 genomic SSRs) revealed 27 markers to be polymorphic, amplifying a total of 83 alleles. Each SSR marker amplified 2–6 alleles with an average of 2.76 alleles per marker and a PIC value varying from 0.54 to 0.96. Cluster analysis based on SSR and morphological data clearly differentiated the lines according to their source of origin. Correlation analysis between morphological and molecular data revealed a very poor association ($r = 0.06$), which could be attributed to selection pressure, genetic drift, sampling error and unknown relationship among related lines. The SSR markers discriminated the genotypes distinctly and quantified the genetic diversity precisely among the TGMS lines. Data on the yield per plant indicated that the genotypes grouping under a similar cluster showed same heterotic behaviour as compared to the genotypes from different clusters when crossed to similar pollinators.
Volume 95 Issue 4 December 2016 pp 895-903 RESEARCH ARTICLE
V. ABHILASH KUMAR C. H. BALACHIRANJEEVI S. BHASKAR NAIK R. RAMBABU G. REKHA G. HARIKA S. K. HAJIRA K. PRANATHI S. VIJAY M. ANILA H. K. MAHADEVASWAMY M. KOUSIK A. YUGANDER J. ARUNA A. S. HARI PRASAD M. S. MADHAV G. S. LAHA S. M. BALACHANDRAN M. S. PRASAD V. RAVINDRA BABU R. M. SUNDARAM
This study was carried out to improve the RPHR-1005, a stable restorer line of the popular medium slender grain type rice hybrid, DRRH-3 for bacterial blight (BB) and blast resistance through marker-assisted backcross breeding (MABB). Twomajor BB resistance genes, Xa21 and Xa33 and a major blast resistance gene, Pi2 were transferred to RPHR-1005 as two individual crosses. Foreground selection for Xa21, Xa33, Pi2, Rf3 and Rf4 was done by using gene-specific functional markers, while 59 simple sequence repeat (SSR) markers polymorphic between the donors and recipient parents were used to select the best plant possessing target resistance genes at each backcross generation. Backcrossing was continued till BC₂F₂ and a promising homozygous backcross derived line possessing Xa21 + Pi2 and another possessing Xa33 were intercrossed to stack the target resistance genes into the genetic background of RPHR-1005. At ICF4, 10 promising lines possessing three resistance genes in homozygous condition along with fine-grain type, complete fertility restoration, better panicle exertion and taller plant type (compared to RPHR-1005) were identified.
Volume 97 Issue 5 December 2018 pp 1263-1279 RESEARCH ARTICLE
Identifying the best performing hybrid without a field test was essential to save resources and time. In this study, the genetic divergence was estimated using morphological and expressed sequence tag (EST)-derived simple sequence repeats (SSR) markers. Cluster analysis showed that APMS6A and RPHR 1005 belong to groups I and II, respectively, and the hybrid combination recorded the highest mean grain yield of 32.25 g among generated 40 F1s with standard heterosis of 8.4% over hybrid check, KRH2. The coefficient of marker polymorphism (CMP) value was calculated based on EST-SSRmarkers; it ranged from 0.40 to 0.80, and a higher CMP value of 0.80 was obtained for the parental combination APMS6A × RPHR1005. We predicted heterosis for 40 F1s based on correlation between CMP and standard heterosis in different traits with standard varietal and hybrid checks indicating positive correlation and significant value for grain yield per plant (
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