The Asian Journal of Horticulture

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Genetic Variability in Nigella (Nigella sativa L.)


Affiliations
1 Department of Horticulture, Tirhut College of Agriculture, Dholi (Bihar), India
     

   Subscribe/Renew Journal


Analysis of variability carried out for ten characters in sixteen diverse genotypes of nigella (Nigella sativa L.) revealed high genotypic and phenotypic co-efficient of variations for secondary branches per plant, number of grains per fruit, number of fruits per plant, length of fruit (cm) and width of fruit (cm). Heritability estimates were high for number of grains per fruit (0.86), number of fruit per plant (0.78), length of fruit (0.64), days to maturity (0.59), number of secondary branches per plant (0.56) and yield per plant (0.47). Higher genetic advance as percentage of mean was recorded for number of grains per fruit (46.11%), number of secondary branches per plant (43.99%), number of fruits per plant (39.65%), yield per plant (24.49%), length of fruit (24.12%) and indicating additive gene effect. Quantitative traits like days to maturity, number of secondary branches per plant, number of grains per fruit and number of grains per fruit exhibited wide range of variability (134.33-143.00) maximum genotypic co-efficient of variability (29.53), maximum phenotypic co-efficient of variability (22.18), broad sense heritability (0.86) and gene gain (46.11).

Keywords

Nigella, Genetic Advance Heritability, Variability.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Burton, G.W. and De Vene, E.W. (1953). Estimating heritability in tall fescue (Festues avundince) from replicated clonal materials. Agric. J., 45:178-181.

  • Chopra, G.L (1998). Angiosperms paradeep publications, Jalandhar, India, 55-56 pp.

  • Dalkani, M., Hassani, A. and Darvishzadeh, R. (2012). Determination of the genetic variation in ajowan (Carum copticum L.) populations using multivariate statistical techniques. Rev. Cienc. Agron., 43 : 698-705.

  • Ghanshyam, Dodiya, N.S., Sharma, S.P., Jain, H.K. and Dashora, A. (2015). Assessment of genetic variability, co-relation and path analysis for yield and its components in ajwain (Trachyspermum ammi L.). J. Spices & Aromatic Crop, 24 (1):43-46.

  • Johnson, H.W., Robinson, H.F. and Comstock, R.F. (1955). Estimates of genetic and environmental variability in soybean. Agron. J., 47: 314-318.

  • Latif, A. and Rehman, S.Z. (1999). Medicinal use of spices for skin care in Unani medicine. In proc. Golden Jubilee National Symposium of Spices, Medicinal and Aromatic plant- bio-chemistry conservation and utilization held at IISR, Calicut, P.P 274-281.

  • Panes, V.G. and Sukhatme, P.V. (1978). Statistical method for Agricultural workers. Indian Council of Agricultural Research, New Delhi.

  • Ramar, A., Thangara, T., Chezhiyan, N. and Shanmuga Sundaram, K.A. (2000). Performance of black cumin (Nigella sativa L.) under Coimbatore conditions. Proc. Centennial conference on spices and aromatic plants, September 20-23, 2000 held at IIHR, Bangalore. P.49.

  • Rajpus, S.S., Singhania, D.L., Singh, D., Sharma, K.C. and Rathore, V.S. (2004). Assessment of genetic variability in fennel (Foeniculum vulgaremill.) germplasm. In national seminar on new perspectives in commercial cultivation. Processing and marketing seed spices and medicinal plants (pp-11):25-26 March, 2004, Jobner.

  • Singh, D., Jain, U.K., Rajput, S.S., Khandelwal, V. and Shiva, K.N. (2006). Genetic variation for seed yield and its components and their association in coriander (Coriandrum sativum L.) germplasm. Department of Plant Breeding and Genetic, S.K.N College of Agriculutre, Jobner, Rajasthan, India. J. Spices & Aromatic Crops, 15 : 25-29.

  • Singh, S.J and Singh, S.K. (2013). Genetic variability analysis in coriander (Coriandrum sativum L.). J. Spices & Aromatic Crops, 22 (1): 81-84.

  • Yadav, P.S; Pandey, V.P and Yadav, Y. (2013). Variability studies in fennel (Foeniculum vulgare mill.). J. Spices & Aromatic Crops, 22 (2): 203-208.


Abstract Views: 249

PDF Views: 0




  • Genetic Variability in Nigella (Nigella sativa L.)

Abstract Views: 249  |  PDF Views: 0

Authors

S. P. Singh
Department of Horticulture, Tirhut College of Agriculture, Dholi (Bihar), India
S. K. Singh
Department of Horticulture, Tirhut College of Agriculture, Dholi (Bihar), India

Abstract


Analysis of variability carried out for ten characters in sixteen diverse genotypes of nigella (Nigella sativa L.) revealed high genotypic and phenotypic co-efficient of variations for secondary branches per plant, number of grains per fruit, number of fruits per plant, length of fruit (cm) and width of fruit (cm). Heritability estimates were high for number of grains per fruit (0.86), number of fruit per plant (0.78), length of fruit (0.64), days to maturity (0.59), number of secondary branches per plant (0.56) and yield per plant (0.47). Higher genetic advance as percentage of mean was recorded for number of grains per fruit (46.11%), number of secondary branches per plant (43.99%), number of fruits per plant (39.65%), yield per plant (24.49%), length of fruit (24.12%) and indicating additive gene effect. Quantitative traits like days to maturity, number of secondary branches per plant, number of grains per fruit and number of grains per fruit exhibited wide range of variability (134.33-143.00) maximum genotypic co-efficient of variability (29.53), maximum phenotypic co-efficient of variability (22.18), broad sense heritability (0.86) and gene gain (46.11).

Keywords


Nigella, Genetic Advance Heritability, Variability.

References