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Research Detail

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M. S. Alam
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh

M. M. Islam
Biotechnology Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh

L. Hassan
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh

S. N. Begum
Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh

R. Gupta
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh

The study was attempted with an objective to evaluate the relationship among yield and yield contributing characters, genetic diversity and selection indices of 76 rice genotypes. Number of tillers plant-1, number of effective tillers plant-1 and number of filled grain panicle-1 were positively and significantly correlated with yield plant-1 suggesting that genotypes with high partitioning efficiency gave increase in yield plant-1. Path analysis suggested that number of effective tiller plant -1, number of filled grains panicle-1 and 1000- seed weight were related to the yield plant-1 mostly through their direct effects. The genotypes were grouped into seven clusters based on Euclidean distance following Ward’s method and the highest intra-cluster distance was found in cluster VI and inter-cluster distance between the cluster I and VI. Study of selection indices through discriminate functions observed that Bhute shalot possessed the highest selection score index (301.41) and rank as the best followed by Hati bajore, Jamai naru, Bazra muri and Enghi which suggests that the highest scoring genotypes might be recommended for farmer’s cultivation for better yield. Among this landraces the superior genotypes may be used in future plant breeding program.

  Cultivars, Association, Additive genetic model, Environmental fluctuation, D2-value,Dendrogram, Genetic distance, Genetic gain
  Bangladesh Institute of Nuclear Agriculture, Mymensingh
  00-07-2011
  00-01-2012
  Variety and Species
  Rice

The aim of the present study was to provide genetic variation and relatedness of some rice genotypes through phenotypically and conservation of their diverse gene pool.

The experiment was conducted at the experimental farm of Bangladesh Institute of Nuclear Agriculture, Mymensingh, during July 2011 to January 2012. Geographically the experimental area is located at 24075 N latitude and 9005 E longitudes at the elevation of 18 m above the sea level. Fifty four rice landraces (i.e. Dudh kalam, Hati bajore, Malagoti, Kuchra, Enghi, Kajol shail, Hogla, Jamai naru, Hari, Dakh shail, Moina moti, Marish shail, Patnai, Bhute shallot, Kute patnai, Mohini shallot, Moghai balam, Sada gotal, Khak shail, Mohime, Holde gotal, Jota balam, Tilek kuchi, Rani Shalot, Kathi goccha, Bashful balam, Bazra muri, Durga bhog, Kumra ghor, Khainol, Ghunshi, Chinikani, Dhar shail, Khejur chori, Shaheb kachi, Raja shail, Hamai, Mura bajal, Lal gotal, Kalmilata, Volanath, Rupessor, Sylhet balam, Karengal, Kalo mota, Mota aman, Ghochi, Chap shail, Mondeshor, Nona kochi, Ghocca, Tal mugur, Ghigoj and Tor balam) were collected from the farmer’s field of southern Bangladesh. Rest of the rice genotypes (21 landraces i.e. Fulkainja, Piarjat, Koicha binni, Lal biroi, Lalanamia, Golapi, Asam binni, Kakua binni, Nona bokhra, Jongli boro, Kashrail, Ledra binni, Nunnia, Rotisail, Genggeng binni, Chinisail, Jolkumri, Ponkhiraj, Mowbinni, Bogi, Kali boro and Binadhan-8) was collected from Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications. The experimental field was divided into three blocks each representing one replication. Each block was then sub-divided in to seventy six plots. The seventy six rice genotypes were placed in each plot. The size of the unit plot was one square meter in size. Row to row and plant to plant distances were 20 cm and 20 cm, respectively in each plot.The genotypic and phenotypic correlations were estimation by the formula suggested by Miller et al.. Direct and indirect path co-efficient were calculated as described by Lynch and Walsh. The genotypes were arranged in different clusters followed by the method suggested by Ward’s Method based on Euclidean distance and hierarchical cluster analysis.Average intra and inter-cluster distances were calculated as suggested by Singh and Chaudhary. Selection indices were constructed using the methods developed by Smith based on discriminative function of Fisher.

  International Journal of Innovation and Applied Studies ISSN 2028-9324 Vol. 8 No. 3 Sep. 2014, pp. 1329-1338 http://www.ijias.issr-journals.org/
  
Funding Source:
1.   Budget:  
  

The results clearly revealed that the number of tillers plant-1, number of effective tillers plant-1 and number of filled grain panicle-1 were positively and significantly correlated with yield plant-1 suggesting that genotypes with high partitioning efficiency gave increase in yield plant-1. The maximum inter cluster distance was observed between genotypes of cluster I and VI followed by clusters II and VI. Thus, hybridization among genotypes drawn from these widely divergent clusters with high yield potential would likely to produce heterotic combinations and wide variability in segregating generations. Among 76 genotypes of rice Bhute shalot possessed the highest selection score index (301.41) and rank as the best followed by Hati bajore, Jamai naru, Bazra muri and Enghi with selection score 300.08, 299.73, 299.56 and 293.30, respectively. The expected Study of Correlation, Magnitude of Genetic Diversity and Selection Indices in Popular Rice (Oryza sativa L.) Landraces of Bangladesh.

  Journal
  


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