TRAIT ASSOCIATION ANALYSIS AND DIVERSITY ASSESSMENT IN BROWN TOP MILLET (Brachiaria ramose L.) GERMPLASM LINES


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Authors

  • ANAND KUMAR Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • SK. SAMEENA Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • K. SRAVAN SIMHA REDDY Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • S. ANANDA RAJA KUMAR Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • P. CHANDRA OBUL REDDY Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • C. V. C. M. REDDY Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005
  • A. CHANDRA SEKHAR Molecular Genetics and Functional Genomics Laboratory, Department of Biotechnology School of Life Sciences, Yogi Vemana University Kadapa - 516 005

https://doi.org/10.58537/jorangrau.2024.52.2.02

Keywords:

Browntop millet, GCV, Hierarchical Cluster Analysis, PCA, PCV

Abstract

The experiment was conducted during the year Rabi 2022. Eight purelines developed by the SSD method have been assessed along with six lines collected from RARS, Nandyal for various phenotypic traits such as number of tillers, plant height, days to 50% flowering, flag leaf length, number of leaves per plant, primary rachis length, panicle exertion length, types of panicle, length of panicle, days to maturity, panicle weight, and 1000 grain weight were recorded. Significant variation has been observed for most of the traits such as maturity days (76-83 days), days to 50% flowering (52.6-67 days), plant height (15- 30 inch), leaves number (19-24), primary rachis length (2.7-7.1 inch), flag leaf length (4.6-7.3 inch), panicle exertion length (1.43-2.33 inch), panicle length (4.7-9.1 inch), panicle weight (0.7-2.6 gm), panicle types (open and close), number of tillers (2-4) and 1000 grain weight (0.67-2.05 gm). Path coefficient, genotypic coefficient variation, and phenotypic coefficient variation facilitate understanding the trait association influenced by genetic and environmental factors. There was a strong positive correlation between the panicle effect and the weight of 1000 grains. High heritability was observed for the trait panicle type (100%), followed by 1000 grain weight (88%), primary rachis length (80.83%), panicle weight (70.6%), panicle exertion length (63.52) and panicle length (53.48). PC score illustrated, BTM-6 with the highest PC score (3.43) followed by BTM-7 (1.95), BTM-2 (0.89, and BTM-5 (0.83). The present study signifies the genotypic and phenotypic variability in browntop millet with respect to the quantitative and qualitative traits with breeding importance.

References

Anuradha, N., Patro, T.S.S.K., Triveni, U., Rao,

P.J and Rajkumar, S. 2020. Trait

association and genetic variability in

browntop millet. Journal of

Pharmacognosy and Phytochemistry.

(1): 1950-1953.

APEDA, 2024 https://apeda.gov.in/milletportal/

Production.html

Ashoka, P and Sunitha, N.H. 2020. Review on

browntop millet-a forgotten crop. Journal

of Experimental Agriculture International.

(7): 54-60.

Babu, B.K., Sood, S., Agrawal, P.K.,

Chandrashekara, C., Kumar, A and

Kumar, A. 2017. Molecular and

phenotypic characterization of 149 finger

millet accessions using microsatellite and

agro-morphological markers.

Proceedings of the National Academy of

Sciences, India Section B: Biological

Sciences. 87: 1217-1228.

Chaudhary, S., Sagar, P., Hooda, B.K and Arya,

R.K. 2015. Multivariate analysis of pearl

millet data to delineate genetic

variation. Forage Research. 40(4): 201-

Clayton, W.D., Vorontsova, M.S., Harman, K.T

and Williamson, H. 2006. GrassBase-the

online world grass flora.

FAOSTAT, 2024. https://www.fao.org/faostat/

en/#data/QCL/visualize

Gana, A.S., Shaba, S.Z and Tsado, E.K. 2013.

Principal component analysis of

morphological traits in thirty-nine

accessions of rice (Oryza sativa L.)

grown in a rainfed lowland ecology of

Nigeria. Journal of Plant Breeding and

Crop Science. 5(10): 120-126.

Kandel, M., Dhami, N.B and Shrestha, J. 2019.

Phenotypic diversity of finger millet

(Eleusine coracana (L.) Gaertn.)

genotypes. Malaysian Journal of

Sustainable Agriculture. 3(2): 20-26.

Mahajan, P., Bera, M.B., Panesar, P.S and

Chauhan, A. 2021. Millet starch: A

review. International Journal of Biological

Macromolecules. 180: 61-79.

Maji, A.T and Shaibu, A.A. 2012. Application

of principal component analysis for rice

germplasm characterization and

evaluation. Journal of Plant Breeding

and Crop Science. 4(6): 87-93.

Mokkaraj, J and Geethanjali, S. 2016. Genetic

Diversity and Variability in Foxtail millet

(Setaria italica L.) Germplasm based on

morphological traits. Electronic Journal

of Plant Breeding, 7(2): 303-316.

Nirubana, V., Ravikesavan, R and

Ganesamurthy, K. 2019.

Characterization and clustering of kodo

millet (Paspalum scrobiculatum L.)

genotypes based on qualitative

characters. Electronic Journal of Plant

Breeding. 10 (1): 101-110.

Ramesh, P., Juturu, V.N., Yugandhar, P.,

Pedersen, S., Hemasundar, A., Yolcu, S.,

Chandra O. Reddy, P., Chandra Mohan

Reddy, C.V., Veerabramha Chari, P.,

Mohan, R. and Chandra Sekhar, A. 2023.

Molecular genetics and phenotypic

assessment of foxtail millet (Setaria

italica (L.) P. Beauv.) landraces revealed

remarkable variability of morphophysiological,

yield, and yield related

traits. Frontiers in Genetics. 14:

Sameena, S., Kumar, A., Reddy, K. S. S.,

Kumar, S. A. R., Kola, G., Gunti, M., Puli,

Reddy, P.C.O., Reddy, C. V. C. M and

Sekhar, A. C. 2024. ICPOES Based seed

micronutrient content analysis as Tool to

identify Allelic Sergeants’ in a Stable RIL

mapping population of Foxtail millet

(Setaria italica L.). Indian Journal of

Applied and Pure Biology. 39(2): 1117-

Shashibhushan, D., Kumar, C.S and Kondi,

R.K.R. 2022. Genetic diversity analysis

of Pearl Millet germplasm by cluster

analysis. Emergent Life Sciences

Research. 8: 70-74.

Sheahan, C.M. 2014. Plant guide for browntop

millet (Urochloa ramosa). USDA-Natural

Resources Conservation Service, Cape

May Plant Materials Center, Cape May,

NJ.

Singh, P., Jain, P.K and Tiwari, A. 2020.

Principal component analysis approach

for yield attributing traits in chilli

(Capsicum annum L.)

genotypes. Chemical Science Review

and Letters. 9(33): 87-91.

Uddin, M.S., Azam, M.G., Bagum, S.A and

Hakim, M.A. 2020. Genetic diversity

analysis of proso millet (Panicum

miliaceum L.) in relation to phenotypic

characters. Journal of Agricultural

Science and Engineering Innovation

(JASEI). 1(2): 18-22.

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Submitted

15-11-2024

Published

30-06-2024

How to Cite

ANAND KUMAR, SK. SAMEENA, K. SRAVAN SIMHA REDDY, S. ANANDA RAJA KUMAR, P. CHANDRA OBUL REDDY, C. V. C. M. REDDY, & A. CHANDRA SEKHAR. (2024). TRAIT ASSOCIATION ANALYSIS AND DIVERSITY ASSESSMENT IN BROWN TOP MILLET (Brachiaria ramose L.) GERMPLASM LINES. The Journal of Research ANGRAU, 52(2), 17-31. https://doi.org/10.58537/jorangrau.2024.52.2.02