Trait association among beta carotene content and yield attributes in recombinant inbred lines of pearl millet [Pennisetum glaucum (L.) R. Br.]
 

DOI: 10.18805/asd.v0i.11296    | Article Id: D-4422 | Page : 202-206
Citation :- Trait association among beta carotene content and yield attributes in recombinant inbred lines of pearl millet [Pennisetum glaucum (L.) R. Br.] .Agricultural Science Digest.2016.(36):202-206

R. Naveen1*, P. Sumathi1 and N. Manivannan2

naveen.r.nathan@gmail.com
Address :

Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641 003. India.

Submitted Date : 9-05-2016
Accepted Date : 23-07-2016

Abstract

Pearl millet [Pennisetum glaucum (L.) R. Br.] is the staple diet for a vast majority of poor farmers in arid and semi-arid regions of India. An experiment was conducted at Millet Breeding Station, Tamil Nadu Agricultural University, Coimbatore to determine the interrelationship between yield and yield component traits in 250 recombinant inbred lines (RILs) of pearl millet during summer 2015. A perusal of the results of this study showed positive significant and strong  genotypic and phenotypic correlations between grain yield per plant and plant height, number of productive tillers per plant, earhead length, earhead girth, single earhead weight, single earhead grain weight, 1000- grain weight and beta carotene content. Path coefficient analysis indicated that number of productive tillers per plant and single earhead grain weight had high direct effect on grain yield per plant. High indirect effect on grain yield per plant was caused by single earhead weight via single earhead grain weight and single earhead weight, single earhead grain weight and 1000- grain weight influences grain yield per plant through moderate positive indirect effect of number via productive tillers per plant. Based on the present results, it could be concluded that number of productive tillers per plant, earhead girth, single earhead weight and single earhead grain weight could be identified as the most important traits that are associated with grain yield in pearl millet. Hence these traits can be used as selection criteria for yield improvement in pearl millet. 

Keywords

Beta carotene content Correlation Path coefficient analysis Pearl millet.

References

  1. Abuali, A. I., Abdelmulla, A. A. and Idris, A. E. (2012). Character association and path analysis in pearl millet (Pennisetum glaucum L.). American J. Exptl. Agric., 2: 370-381.
  2. Al-jibouri, H. A., Miller, P. A. and Robinson, H. F. (1958). Genotypic and environmental variances in an upland cotton crop of inter specific origin. Agron. J., 50: 633-634.
  3. Arulselvi, S., Mohanasundaram, K. and Selvi, B. (2008). Correlation and path analysis for grain yield and its components in pearl millet (Pennisetum glaucum (L.) R.Br.). Madras Agric. J., 95: 311-314.
  4. Bouis, H. E. and Welch, R. M. (2010). Biofortification - A sustainable agricultural strategy for reducing micronutrient malnutrition in the global south. Crop Sci., 50: 20-32.
  5. Chandler, K., Lipka, A. E., Owens, B. F., Li, H., Buckler, E. S., Rocheford, T. and Gore, M. A. (2013). Genetic analysis of visually scored orange kernel color in maize. Crop Sci., 53: 189-200.
  6. Chaudhry, M.H., Subhani, G.M., Shaheen, M.S. and Saleem, U. (2003). Correlation and path analysis in pearl millet (Pennisetum americanum L.). Pakistan J. Biol. Sci., 6: 597-600.
  7. Dewey, D. R. and Lu, K. M. (1959). Correlation and path coefficient analysis of crested wheat grass seed production. Agron. J., 51: 515-516.
  8. Govindaraj, M. and Selvi, B. (2012). Path coefficient analysis in local pearl millet germplasm for grain minerals and agronomic characters. Agric. Sci. Digest., 32: 128-132.
  9. Govindaraj, M., Selvi, B. and Rajarathinam, S. (2009). Correlation studies for grain yield components and nutritional quality traits in pearl millet (Pennisetum glaucum (L.) R. Br.) germplasm. World J. Agric. Sci., 5: 686-689.
  10. Izge, A. U., Kadams, A. M. and Gungula, D. T. (2006). Studies on character association and path analysis of certain quantitative characters among parental lines of pearl millet (Pennisetum glaucum) and their F1 hybrids in a diallel cross. African J. Agric. Res., 1: 194-198.
  11. Khalil, J. K. and Sawaya, W. N. (1984). Mineral and vitamin content of Saudi Arabian pearl millet flour and bread. Cereal Chem., 61:301-304.
  12. Kumari, B. M. and Nagarajan, P. (2008). Character association and path analysis of yield components in pearlmillet (Pennisetum glaucum L. R.Br.). Madras Agric. J., 95:192-195.
  13. Manivannan, N. (2014). TNAUSTAT - Statistical package. Retrieved from https://sites.google. com/site/tnaustat.
  14. Santra, M., Rao, V. S. and Tamhankar, S. A. (2006). Biochemical estimation of b-carotene in Indian durum varieties. Wheat Inf. Serv., 101: 1-4.
  15. Sathya, M., Sumathi, P. and Joel, A. J. (2014). A simple and rapid screening technique for grain b carotene content in pearl millet through spectrophotometric method. African J. Agric. Res., 9: 572-576.
  16. Singh, B., Upadhyay, P. K. and Sharma, K. C. (2014). Genetic variability, correlation and path analysis in pearl millet (Pennisetum glaucum (L.) R. Br.). Indian Res. J. Genet. & Biotech., 6 : 491-500.
  17. Vagadiya, K. G., Dhedhi, K. K., Joshi, H. J., Bhadelia, A. S. and Vekariya, H. B. (2010). Correlation and path co-efficient analysis in pearl millet [Pennisetum glaucum (L.)]. Intl. J. Plant Sci., 5: 606-608.
  18. Vetriventhan, M. and Nirmalakumari, A. (2007). Character association and path analysis in pearl millet. Madras Agric. J., 94:114-117.

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