Namburi Hari Satyanarayana
@angrau.ac.in
Senior Scientist (Plant Breeding)
ANGRAU
RESEARCH INTERESTS
Plant Breeding in roselle, greengram and blackgram crops
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
NH Satyanarayana, V Visalakshmi, Subhra Mukherjee, and KK Sarkar
Springer Science and Business Media LLC
Studies on Genetic Diversity in Roselle (Hibiscus Sabdariffa L.) For Seed Yield and It’s Contributing Traits in India
Sixty genotypes of roselle (Hibiscus sabdariffa L.) consisting of 45 indigenous, 11 exotic genotypes and four released varieties were evaluated at three different agro-climatic zones in India viz., North Coastal zone of Andhra Pradesh, Indo-Gangetic zone and Terai zone of West Bengal for seed yield and its contributing characters during Kharif, 2013 and 2014 for ten characters and grouped into six clusters based on D2 analysis. Cluster I comprised of thirty five genotypes followed by Cluster II with thirteen genotypes. Intercluster distance was highest between the Clusters III and IV followed by Clusters I and IV, whereas Intra-cluster distance was high for Cluster V which consists of five genotypes. Cluster II recorded highest and high values for yield and its attributing characters followed by Cluster I, whereas, Cluster IV recorded lowest and low values for yield and its attributing characters followed by Cluster V. Test weight contributed high for the diversity followed by seed yield followed by seeds per pod and pods per plant. The genotypes belonging to Cluster, II, III and IV viz., AR-80, AS-81-9, AS-81-17, AR-19, AR-71, R-16, AS-81-5, R-67, AR-14, R-48, R-225, R-134, AR-55, ER-60, AS-81-22, AS-80-19, AS-81-2 and REX-34 could be selected as parents in future breeding programme for developing high seed yielding varieties.
N. Hari Satyanarayana, S. Mukherjee, V. Visalakshmi, Bhanu priya, and K.K. Sarkar
EJPB, ISPB, CPBG - Tamil Nadu Agricultural University
Sixty genotypes of roselle (Hibiscus sabdariffa L.) were evaluated at three different agro-climatic zones viz., North Coastal Zone of Andhra Pradesh, Indo-Gangetic Zone and Terai Zone of West Bengal for seed and its contributing characters during kharif, 2013 and 2014. Principal Component Analysis (PCA) indicated that three components with eigen values more than one accounted for about 79 % of the total variation among ten quantitative characters responsible for seed yield in roselle genotypes. The principal components PC1, PC2 and PC3 contributed about 48.35 %, 21.22 % and 9.57 %, respectively to the total variation. The first principal component had high positive loading for test weight, plant height @130 DAS, seeds per pod, plant height @75 DAS, pods per plant and days to 50% flowering which contributed more to the diversity. The second principal component had high loading for pods per plant, seed yield/plant, test weight, plant height @130 DAS and @75 DAS. The genotypes viz., AR-71, AR-55, REX-34, AS-80-26, AS-81-1, AS-80-19, ER-60, AS-81-22, AS-81-2 and REX-38 were identified as the most diverse genotypes, based on component scores and these genotypes could be utilized as parents in hybridization programme.
NH Satyanarayana, V Visalakshmi, Bhanu Priya, Subhra Mukherjee, SK Roy, AU Rao, and KK Sarkar
Springer Science and Business Media LLC
Multivariate Analysis of Quantitative Characters for Fiber Yield in Roselle (Hibiscus Sabdariffa L.) Over Six Environments
Sixty genotypes of roselle (Hibiscus sabdariffa L.) were evaluated at three different agro-climatic zones in India viz., North Coastal zone of Andhra Pradesh, Indo-Gangetic zone and Terai zone of West Bengal for fiber yield and its contributing characters during Kharif, 2013 and 2014 for twelve characters. Principal component analysis (PCA) indicated that three components (PC1 to PC3 ) with eigen values more than one accounted for about 88% of the total variation among twelve quantitative characters in roselle genotypes. The principal components PC1 , PC2 and PC3 contributed about 74.56%, 8.24% and 5.04% respectively to the total variation. The first principal component had high positive loading for dry stick weight, plant height, fiber yield and green weight (leafless) which contributed more to the diversity. The second principal component had high loading for petiole length, dry stick weight and fiber yield. The genotypes viz., ER-60, REX-34, AS-81-22, REX-6, R-284, AR-71, R-30, R-37, ER-57 and AS-80-7 were identified as the most diverse genotypes, based on component scores for use as parents in hybridization programme. High degree of variability existing within the accessions and the characters will help for further improvement of the rosella crop by evolving high fiber yielding cultivars...
S Jyothsna and Hari N Satyanarayana
Springer Science and Business Media LLC
Genetic Divergence Studies for Fibre Yield and It’s Contributing Traits in Roselle (Hibiscus sabdariffa L.)
Genetic divergence in thirty genotypes of roselle was assessed utilizing Mahalanobis D2 statistic and grouped into six Clusters based on D2 values. Cluster I was the largest comprising of 11 genotypes followed by Cluster IV comprised of ten genotypes, Cluster III & V accommodated three genotypes each whereas Cluster II comprised two genotypes and Cluster VI included solitary genotype. Maximum inter Cluster distance was observed between Cluster II and III, followed by Cluster III and IV and Cluster V and VI, while minimum inter Cluster distance was observed between Cluster I and Cluster II. Days to 50 % flowering was contributed maximum to genetic diversity followed by fibre yield, fibre wood ratio, plant height, fibre length, basal diameter, bark thickness, internodal length, green weight and number of nodes per plant..
N. Hari Satyanarayana, Subhra Mukherjee, Bhanu Priya, and S. Roy
Springer Science and Business Media LLC
Genetic variability, correlation and path analysis were studied in a set of sixty diverse genotypes of roselle (Hibiscus sabdariffa L.) dur-ing Kharif, 2013 at Uttar Banga Krishi Viswav-idyalaya, Pundibari, Coochbehar, West Bengal for eleven important traits. Phenotypic as well as genotypic coefficients of variability were high for the important productivity characters like fibre yield plant−1, dry stick weight plant−1 and green weight plant−1 (for PCV) and medium for other characters like plant height, intermodal length and petiole length. High heritability coupled with high expected genetic advance was ob-served for fibre yield plant−1, dry stick weight plant−1 and green weight plant−1. Fibre yield per plant was found to be significantly and positively correlated with all the characters both at pheno-typic and genotypic levels except petiole length which was significantly correlated in negative direction. Plant height, base diameter, mid diam-eter, green weight plant−1 and dry stick weight plant−1 also exhibited significant positive inter correlation among themselves. Partitioning of correlation coefficients of various components upon fibre yield plant−1 into direct and indirect contributions revealed that dry stick weight plant−1 has maximum direct effect upon fibre yield plant−1 followed by plant height and mid diameter.