Heritability, correlation, genotypic and phenotypic coefficient of variance, and path coefficient analysis of pipeline spring rice genotypes in western hills of Nepal

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Research Paper 01/08/2018
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Heritability, correlation, genotypic and phenotypic coefficient of variance, and path coefficient analysis of pipeline spring rice genotypes in western hills of Nepal

Santosh Subedi, Subarna Sharma, Amrit Prasad Poudel, Muzafar Iqbal, Shamim Umer, Shagufta Jabeen
Int. J. Agron. Agri. Res.13( 2), 128-135, August 2018.
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Abstract

A participatory varietal trial on spring rice (Oryza sativa L.) was conducted at farmer’s field of Dhamilikuwa, Lamjung with an objective to find out high yielding spring rice genotypes of farmer’s interests with study of variability, heritability, GCV, PCV, preference score and character association between yield and yield attributes during spring season 2017. Seven spring rice genotypes were laid out in randomized complete block design (RCBD) with three replications. Preference score was determined by CGIAR model using positive votes, negative votes and total votes casted. Analysis of variance revealed that yield and yield attributes were statistically different among genotypes. Phenotypic coefficients of variance were higher than genotypic coefficients of variance in all the characters studied. A joint consideration of high heritability in broad sense and high genetic advance as percentage of mean found in flag leaf area, grain yield and test weight could be explained by additive gene action whereas high heritability in broad sense and moderate/low genetic advance as percentage of mean found in plant height, maturity days, heading days, and chlorophyll could be explained by non-additive gene action. Grain yield of spring rice was significantly correlated with flag leaf area (r =0.799**), fertility percentage (r = 0.697**), effective tillers (r =0.665*), panicle length (r = 0.587*) and leaf chlorophyll content (r = 0.579*). Selection based on these attributes is very important key for crop improvement through suitable breeding program. On path analysis, flag leaf area has highest positive direct effect on yield followed by test weight, panicle length, and heading days.

VIEWS 21

Ahmad A, Saleem M. 2003. Path coefficient analysis in Zea mays L. International Journal of Agriculture and Biology 5(3), 194-198.

Allard RW. 1960. Principle of plant breeding . John Wiley and Son . New York.

Alvind P, Cherry A, Tayson E, Mark I. 2015.Grain yield performance and stability analysis of rice varieties under rain-fed lowland conditions of Western Visayas, Philippines.

Basnet BMS. 2008. Environment friendly technologies for increasing rice productivity. The Journal of Agriculture and Environment (9), 34-40.

Bello OB, Abdulmaliq SY, SAIzge. 2010. Correlation and path coefficient analysis of yield and agronomic characters among open pollinated maize varieties and their F1hybrids in a diallel cross. African journal of Biotechnology 9(18), 2633-2639.

Burton WG, Devane EH. 1953. Estimation of heritability in tall Festuca(Festucaarundinacea) from replicated clonal material. Agronomy Journal 45, 478-481.

CBS. 2015. Nepal in Figure 2015, Central Bureau of Statistics. Nepal Planning Commission CDD. 2015. Rice varietal mapping in Nepal, plant protection directorate, Department of agriculture, Hariharbhawan.

CDD. 2017. Rice science and technology in Nepal, Crop development directorate. Department of agriculture, hariharbhawan.

Chaudhary LB, Prasad B. 1968.Genetic variation and heritability of quantitative characters in Indian mustard (Brassica Juncea).Indian Journal of Agricultural Science 38, 820-825.

Engida  T, Dechassa N, Devakara EV. 2007. Genetic variability for yield and other agr

Falconer DS, Mackay TFC. 1996. An Introduction to Quantitative Genetics. 4thed., Prentice Hall, London.

Falconer DS, Mackay TFC. 1996. An Introduction to Quantitative Genetics.4thed., Prentice Hall, London.

Food and Agriculture Organization of the United Nations. 2017. Food and Agriculture, Organization Statistical Databases. Retrieved October 15 2017, from http://www.fao.org/faostat/en/data/QC

Grist DH. 1986.Rice. The origin & history of rice.6th ed. Longman Inc. New York, USA. Page: 3-6.

Guerrero, Ashby M, del PJA, Cali Gracia T. 1993. IPRA project and CIAT (international center for tropical agriculture. farmer evaluation of technology. Preference ranking. Instructional unit No 2.Colombia, p 129.

Hallauer AR, Scobs JH. 1973. Change in quantitative traits associated with inbreeding in a synthetic variety of maize. Crop Science 13(3), 327-330.

Hallauer AR, Miranda JB. 1988. Quantitative genetics in maize breeding.2nd ed. Iowa State University Press. Ames, IA., p 356-457.

Hanson GH, Robinson HF, Cornstock RE. 1956. Biometrical studies of yield in segregating populations of Korean hespedeza. Agronomy Journal, 48, 267282.

Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47, 314318.

Lush JL. 1940. Inter-size correlation regression of offspring on dairy as a method of estimating heritability of characters. Proceedings American Soceity of Animal Production 33, 293-301.

Mallick RN. 1981.Rice in Nepal, Kalaprakanshan, Kathmandu, Nepal.

Mo AD. 2015. Statistical Information on Nepalese Agriculture. Ministry of Agricultural Development, Singh Durbar, Kathmandu, Nepal, p 207. Retrieved october 15 2017, from http://moad.gov.np/public/uploads/1142453195,statistic%20agriculture%20book_2016.pdf

National Geographic Society. 2017. Staple food crops of the world. Retrieved October 15 2017, from https://www.nationalgeographic.org/maps/wbt-staple-food-crops-world/

Paris TR, Manzanilla D, Tatlonghari G, Labios R, Cueno A, Villanueva D. 2011. Guide to Participatory Varietal Selection for Submergence-tolerant Rice. International Rice Research Institute, Los Baños, Philippines.

Singh BD. 1990. Plant Breeding: principles Kalyani publishers, New Delhi, India. p 506.

Singh YPAK, Nayak DK, Sharma RK, Gautam RK, Ranbir Singh. 2013. Farmers’ Participatory Varietal Selection.A Sustainable Crop Improvement Approach for the 21st Century.

Sivasubramanian S, Menon M. 1973.Heterosis and inbreeding depression in rice. Madras Agric. J. 60 1339 p.

Tazeen M, Nadia K, Farzana NN. 2009. Heritability, phenotypic correlation and path coefficient studies for some agronomic characters in synthetic elite lines of wheat. Journal of  Food, Agriculture and Environment 7(3 and 4), 278282.

Weber CR, Moorthy BR. 1952. Heritable and non heritable relationship and variability of oil content and agronomic traits in the F2 generation of soyabeancrosses. Agronomy Journal 44, 202209.

Welsh J. 1981. Fundamentals of Plant Breeding and Genetics. John Wiley & Sons, New York.