Welcome to International Network for Natural Sciences | INNSpub

Genetic parameter estimates and diversity studies of upland rice (Oryza sativa L.) genotypes using agro-morphological markers

Research Paper | January 1, 2022

| Download 28

Alpha Umaru Barrie, Prince Emmanuel Norman, Melvin George

Key Words:

Int. J. Agron. Agri. Res.20( 1), 11-23, January 2022


IJAAR 2022 [Generate Certificate]


Dearth of well-articulated information on genetic parameter estimates and diversity of upland rice limits the genetic improvement of rice. This study assessed the genetic parameter estimates and genetic diversity among 40 rice accessions using 26 agro-morphological traits. The trial was conducted in 2020 at the Njala University experimental site using 5 × 8 triple lattice design. The agro-morphological traits were analyzed using various multivariate and genetic parameter estimate techniques. Classification based on qualitative and quantitative traits grouped the germplasm into ten and five distinct clusters, respectively. Genotypes Buttercup-ABC, Buttercup-RARC, Jewulay, NERICA L4, Ndomawai, Sewulie and Painipainie produced earliest days to heading (81.8–97.2 days) and maturity (111.2 – 120.7 days). Genotypes Jasmine (3.036 t.ha-1), Rok 34 (3.238 t.ha-1) and Parmoi (2.663 t.ha-1) exhibited the highest grain yields. Principal component analysis (PCA) of qualitative traits exhibited four principal components (PCs) with eigenvalues > 1.0 and cumulative variation of 68.04%, whilst the PCA of quantitative traits had five PCs accounting for 81.73% of the total genetic variation. The findings indicate the presence of enough variability that could be exploited for the genetic improvement of rice varieties and the studied traits can be used for selection. Leaf blade length and width, culm diameter at basal internode, culm length, days to 50% heading, flag leaf girth, panicle number per plant, grain yield, and 100 grain weight had high heritability and genetic advance indicating the presence of additive gene action. Findings are relevant for conservation, management, short term recommendation for release and genetic improvement of rice.


Copyright © 2022
By Authors and International Network for
Natural Sciences (INNSPUB)
This article is published under the terms of the Creative
Commons Attribution Liscense 4.0

Genetic parameter estimates and diversity studies of upland rice (Oryza sativa L.) genotypes using agro-morphological markers

Aditya JP, Bhartiya A. 2013. Genetic variability, correlation and path analysis for quantitative characters in rainfed upland rice of Uttarakhand Hills. Journal of Rice Research 6, 24-34.

Ahmadikhah A, Nasrollanejad S, Alishah O. 2008. Quantitative studies for investigating variation and its effect on heterosis of rice. International Journal of Plant Production 2, 297-308.

Baggie I, Sumah F, Zwart SJ, Sawyerr P, Pandabla T, Kamara CS. 2018. Characterization of the mangrove swamp rice soils along the Great Scarcies River in Sierra Leone using principal component analysis. Catena 163, 54-62.

Banumathy S, Manimaran R, Sheeba A, Manivannan N, Ramya B, Kumar D, Ramasubramanian GV. 2010. Genetic diversity analysis of rice germplasm lines for yield attributing traits. Electronic Journal of Plant Breeding 1, 500-504.

Bebeley HA, Mabey PT, Norman PE. 2021. Effects of biochar, plant density and spacing on growth and yield of rice in a tropical inland valley swamp. International Journal of Applied Agricultural Sciences 7, 77-83.

Bidhan R. 2013. Genetic diversity in Farmers’ varieties and some advance lines of aromatic rice (Oryza sativa L.) from West Bangal. Indian Journal of Plant Genetic Resources 26, 215–219.

Bioversity International, IRRI and WARDA, 2007. Descriptors for wild and cultivated rice (Oryza spp.). Bioversity International, Rome, Italy; International Rice Research Institute, Los Baños, Philippines; WARDA, Africa Rice Center, Cotonou, Benin. 63 p.

Burton WG, Devane EH. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal 45, 478-481.

Caldo R, Sebastian L, Hernandez J. 1996. Morphology-based genetic diversity analysis of ancestral lines of Philippine rice cultivars. Philippine Journal of Crop Science 21, 86-92.

Deshmukh SNN, Basu MS, Reddy PS. 1986. Genetic variability, character association and path coefficients of quantitative traits in Virginia bunch varieties of groundnut. Indian Journal of Agricultural Sciences 56, 816-821.

Dutta P, Dutta PN, Borua PK. 2013. Morphological traits as selection indices in rice: A statistical view. Universal Journal of Agricultural Research 1, 85-96.

Falconer DS, Mackay TFC. 1996. Introduction to quantitative genetics. 4th ed. Pearson Prentice Hall, Harlow, England. 464 p.

Government of Sierra Leone 2017. Government Budget and statement of Economic and Financial policies for the Fiscal year of 2018. Theme ‘Strengthening Resilience for Inclusive Growth.

Granati E, Bisignano V, Chiaretti D, Crinò P, Polignano GB. 2003. Characterization of Italian and exotic Lathyrus germplasm for quality traits. Genetic Resources Crop Evolution 50, 273-280.

Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47, 314-318.

Kaiser HF. 1960. The application of electronic computers to factor analysis. Educational and Psychological Measurements 20, 141-151.

Lasalita-Zapico FC, Namocatcat JA, Carino-Turner JL. 2010. Genetic diversity analysis of traditional upland rice cultivars in Kihan, Malapatan, Sarangani Province, Philippines using morphometric markers. Philippine Journal of Science 139, 177-180.

Latif MA, Rahmanmm, Kabir MS, Ali MA, Islam MT, Rafii MY. 2011. Genetic diversity analyzed by quantitative traits among rice (Oryza sativa L.) genotypes resistant to blast disease. African Journal of Microbiology Research 5, 4383-4391.

Li T, Angeles O, Radanielson A, Marcaida M, Manalo E. 2015. Drought stress impacts of climate change on rainfed rice in South Asia. Climatic Change 133, 709-720.

MAFFS/NARCC/IAR/RRS/NUC. 2005. Ministry of Agriculture Forestry and Food Security (MAFFS), National Agricultural Research Coordinating Council (NARCC), Institute of Agricultural Research (IAR), Rice Research Station (RRS), Njala University College (NUC). Crop production guidelines for Sierra Leone. 104 p.

Norman PE, Tongoona PB, Danquah A, Danquah EY, Asiedu R, Agbona A, Asfaw A. 2021. Genetic parameter estimation and selection in advanced breeding population of white Guinea yam. Journal of Crop Improvement 35, 790-815.

North S. 2013. Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa L.). Global Journal of Plant Ecophysiology 3, 1-6.

Ogunbayo SA, Ojo DK, Sanni KA, Akinwale MG, Toulou B, Shittu A, Idehen EO, Popoola AR, Daniel IO, Gregorio GB. 2014. Genetic variation and heritability of yield and related traits in promising rice genotypes (Oryza sativa L.). Journal of Plant Breeding and Crop Science 6, 153-159.

Ogunniyan DJ, Olakojo SA. 2014. Genetic variation, heritability, genetic advance and agronomic character association of yellow elite inbred lines of maize (Zea mays L.). Nigerian Journal of Genetics 28, 24-28.

Onyia VN, Okechukwu EC, Atugwu AI, Akpan NM. 2017. Genetic variability studies on twelve genotypes of rice (Oryza sativa L.) for growth and yield performance in south eastern Nigeria. Notulae Scientia Biologicae 9, 110-115.

Pandey P, Anurag PJ, Tiwari DK, Yadav SK, Kumar B. 2009. Genetic variability, diversity and association of quantitative traits with grain yield in rice (Oryza sativa L.). Journal of Bio-Science 17, 77-82.

Patterson HD, Thompson R. 1971. Recovery of inter-block information when block sizes are unequal. Biometrika 58, 545-554.

Pratap N, Singh PK, Shekhar R, Soni SK, Mall AK. 2014. Genetic variability, character association and diversity analyses for economic traits in rice (Oryza sativa L.). SAARC Journal of Agriculture 10, 83-94.

Rabara RC, Ferrermc, Diaz CL, NewinghammcV, Romero GO. 2014. Phenotypic diversity of farmers’ traditional rice varieties in the Philippines. Agronomy 4, 217-241.

Rasel M, Hassan L, Hoque MIU, Saha SR. 2018. Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance. Journal of Bangladesh Agricultural University 16, 41-46.

Richman MB. 1988. A cautionary note concerning a commonly applied eigenanalysis procedure. Tellus 40B, 50-58.

Robinson HF, Comstock RE, Harvey PH. 1949. Estimates of heritability and the degree of dominance in corn. Agronomy Journal 41, 353-359.

Sasaki T. 2005. The map-based sequence of the rice genome. Nature 436, 793-800.

Sedeek SEHammoud SAAmmar MH, Metwally TF. 2009. Genetic variability, heritability, genetic advance and cluster analysis for some physiological traits and grain yield and its components in rice (Oryza sativa L.). Journal of Agricultural Science 35, 858-878.

Shukla S, Bhargava A, Chatterjee A, Srivastava J, Singh N, Singh P. 2006. Mineral profile and variability in vegetable amaranth (Amaranthus tricolor). Plant Foods for Human Nutrition 61, 21-26.

Singh S, Sengar RS, Kulshreshtha N, Datta D, Tomar RS, Rao VP, Garg D, Ojha A. 2015. Assessment of multiple tolerance indices for salinity stress in bread wheat (Triticum aesticum L.). Journal of Agricultural Science 7, 49-57.

SLNSS 2017. Sierra Leone National Nutrition Survey (SLNNS) 2017. 70 p.

Sumanth V, Suresh BG, Ram BJ, Srujana G. 2017. Estimation of genetic variability, heritability and genetic advance for grain yield components in rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry 6, 1437-1439.

Tripathi A, Tripathi DK, Chauhan DK, Kumar N, Singh GS. 2016. Paradigms of climate change impacts on some major food sources of the world: a review of current knowledge and prospects. Agriculture, Ecosystems and Environment 216, 356-373.

Tuhina-Khatun M, Hanafimm, Yusop MR, Wong MY, Salleh FM, Ferdous J. 2015. Genetic variation, heritability, and diversity analysis of upland rice (Oryza sativa L.) genotypes based on quantitative traits. BioMed Research International 2015(1), 290861.

Vanniarajan C, Vinod KK, Pereira A. 2012. Molecular evaluation of genetic diversity and association studies in rice (Oryza sativa L.). Journal of Genetics 91, 9-19.

Varshney RK, Thiel T, Sretenovic-Rajicic T. 2008. Identification and validation of a core set of informative genic SSR and SNP markers for assaying functional diversity in barley. Molecular Breeding 22, 1-13.

Veasey EA, Da Silva EF, Schammass EA, Oliveira GCX, Ando A. 2008. Morphoagronomic genetic diversity in American wild rice species. Brazilian Archives of Biology and Technology 51, 95-104.