An Investigation of Phenotypic and Genotypic Variations in 100 Upland Rice Genotypes at Pawe, Northwestern Ethiopia

Document Type : Research Article

Authors

1 Ethiopian Institute of Agricultural Research, Pawe Agricultural Research Center, Pawe, Ethiopia

2 Ethiopian Institute of Agricultural Research, Fogera National Rice Research and Training Center, Fogera, Ethiopia

Abstract

Lack of improved rice varieties has been identified as one of the challenges of rice research and development in Ethiopia, hindering the national production and productivity of the crop. Hence, the national rice research program of the country has tried to introduce and evaluate the diverse upland rice genotypes under the rainfed cropping season. In this experiment, 100 upland rice genotypes were introduced and evaluated with three locally well-adapted upland rice varieties as the standard checks using the augmented randomized complete block design/RCBD experimental design with a plot size of 1.5m2 and 3 rows per plot. The seeds were drilled in rows with a seed rate of 60 kilograms per hectare (kgh-1). The Nanoparticles/NPS (124 kgh-1) and urea (100 kgh-1) fertilizers were applied. The days to 50% heading, days to 85% maturity, plant height, panicle length, number of filled grains per panicle, number of unfilled grains per panicle, grain yield, and 1000 seed weight in gram were collected and subjected to a statistical analysis using SAS statistical software with 9.4 version from which a significant variation for all the traits was observed showing the presence of genetic variability among the rice genotypes. The genotypes were highly and significantly varied on their grain yield (coefficient of variation/CV= 7.86***), 1000 seed weight (CV= 9.97**), and days to 85% maturity (CV= 2.38**). A lower genotypic coefficient of variance and a higher phenotypic coefficient of variance among the genotypes were obtained, indicating that the variation was more due to environmental effects.

Keywords


Allard RW. 1960. Principles of plant breeding. John Wiley and Sons, New York.
Al-Tabal J, AL-Fraihat AH. (2011). Genetic variation, heritability, phenotypic and genotypic correlation studies for yield and yield components in promising barley genotypes, J Agri Sci 4(3):193-210.
Bhattarai U, Subudhi PK. (2019). Genetic diversity, population structure, and marker-trait association for drought tolerance in US rice germplasm. Plants 8(12): 530 doi:10.3390/plants8120530.
Burton GW, DeVane EH. 1953. Estimating heritability in tall fescu (Festuca arundincea) from replicated clonal material. Agronom J 45 (10):478-481.
CSA. 2021. The federal democratic republic of ethiopian central statistical agency agricultural sample survey 2020/21 (2013). Statistical Report, Tthe Federal Democratic Republic of Ethiopian Central Statistical Agency, Addis Ababa. Retrieved Jun 01, 2021, from https://www.statsethiopia.gov.et/wp.
Dawit A, John T. 2020. The emerging importance of rice as a strategic crop in Ethiopia. Agricultural policy research in Africa. Retrieved 2021, from https://opendocs.ids.ac.uk/.
El-Lattef ASMA, El-Saidy AEA, El-Kallawy WHM, Mady AA. 2011. Evaluation of som rices (Oryza sativa L.) genotypes under water stress conditions. J Plant Prod 2(2):307-326.
Ene CO, Ogbonna PE, Agbo CU, Chukwudi UP. 2016. Studies of phenotypic and genotypic variation in sixteen cucumber genotypes. Chil J Agric Res 76(3): 3017-313.
Falconer DS. 1981. Introduction to quantitative Genetics. 2nd eds. Longman Inc., New York.
Federer WT. 1961. Augmented designs with one-way elimination of heterogeneity. Biometrics 17(3): 447-473.
Gedifew G, Tsige G. 2019. Morphological characterization and evaluation of sorghum [Sorghum bicolor (L.) Moench] landraces in benishangul gumuz, North-western Ethiopia. Greener J Agri Sci 9(1):37-56.
Girma BT, Kitil MA, Banje DG, Biru HM, Serbessa TB. 2018. Genetic variability study of yield and yield related traits in rice (Oryza sativa L.) genotypes. Adv Crop Sci Tech 6: 381. doi:10.4172/2329-8863.1000381.
Hamidou M, Souleymane O, Ba M, Danquah E, Kapran I, Gracen V, Ofori K. 2018. Principal component analysis of early generation sorghum lines for yield-contributing traits and resistance to midge. J Crop Improv 32(6):757-765.
Islam MZ, Khalequzzaman M, Bashar MK, Ivy NA, Haque MM,  Mian MAK. 2016. Variability assessment of aromatic and fine rice germplasm in bangladesh based on quantitative traits. Sci World J 1-14. doi:10.1155/2016/2796720.
Khan MH, Dar ZA, Dar SA. 2015. Breeding strategies for improving rice-A review. Agri Sci 6(5):467-478.
Paswan SK, Sharma V, Singh VK, Ahmad A. (2014). Genetic variability studies for yield and related attributes in rice genotypes (Oryza sativa L.). Res J Agr Sci 5(4):750-752.
SAS Institute Inc. 2015. SAS Software. Version 15.1. Cary, NC 27513-2414.
Shrestha J, Subedi S, Kushwaha UKS,  Maharjan B. 2021. Evaluation of growth and yield traits in rice genotypes using multivariate analysis. Heliyon 7(9): e07940. doi: 10.1016/j.heliyon.2021.e07940.
Syafii M, Cartika, Ruswandi. 2015. Multivariate analysis of genetic diversity among some maize genotypes under maize-albizia cropping system in indonesia. Asian J Crop Sci 7(4): 244-255.
USDA/FAS. 2021. World agricultural production. United States department of agriculture. https://apps.fas.usda.gov/psdon-li­ne/circulars/production.