Assessment of gene action association involved with economic traits of black carrot (Daucus carota)

Abstract views: 403 / PDF downloads: 55


  • RAMAN SELVAKUMAR ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • D C MANJUNATHAGOWDA ICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra
  • PRITAM KALIA ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
  • R S RAJE ICAR-Directorate of Onion and Garlic Research, Rajgurunagar, Pune, Maharashtra


Additive, Carrot, Dominance, Gene, Hybrid


Carrots (Daucus carota L.) are rich sources of vitamins, phytonutrients, bioactive compounds and health promotingproperties. Recent increased awareness of nutritional security has resulted in a dramatic increase in carrot consumption,necessitating increased carrot production by farmers and growers. Understanding the genetic design of economictraits including root length, root weight, root diameter, core diameter, and flesh thickness, as well as developing anappropriate breeding plan for these traits, will help accomplish those ambitious goals. Gene action experiments wereconducted at ICAR-Indian Agricultural Research Institute during 2012–15 in order to estimate the type and magnitudeof gene action in order to develop a breeding strategy for recognizing segregants with desirable horticultural traits.Four inbred lines such as Pusa Asita, Pusa Rudhira, Pusa Kulfi, Pusa Meghali were used to develop three crosses, viz.Pusa Asita × Pusa Kulfi, Pusa Asita × Pusa Meghali, Pusa Asita × Pusa Rudhira to achieve the objectives. The findingsconfirmed that the exact composition of gene effects varied through crosses and demonstrated the role of additiveas well as non-additive gene effects in the inheritance of different traits, with a preponderance of the latter. Due tothe parallel function of complementary gene effects, non-epistatic gene interactions for economic yield contributingtraits have been found; thus, hybrid exploitation could be efficiently used by heterosis breeding by using favourablepositive [h] and [l] gene interaction and effects. This genetic information is more helpful to formulate suitable breedingmethodology for identifying the segregants with desirable horticultural traits.


Download data is not yet available.


Akhilesh Sharma, Pooja Kapur and Viveka Katoch. 2012. Generation mean analysis to estimate genetic parameters for desirable horticultural traits in garden pea (Pisum sativum). Indian Journal of Agricultural Sciences 82(3): 201–06.

Causse M, Chaïb J, Lecomte L, Buret M and Hospital F. 2007. Both additivity and epistasis control the genetic variation for fruit quality traits in tomato. Theoretical and Applied Genetics 115(3): 429–42.

Cavalli L L. 1952. An analysis of linkage in quantitative inheritance. Quantitative Inheritance, p 135–44. HMSO, London.

Dixit G P, Tanveer H and Chandra S. 2006. Generation mean analysis for grain yield related traits in field pea (Pisum sativum L.). Indian Journal of Genetics 66: 147-48.

Hayman BI and Mather K. 1955. The description of genetic interactions in continuous variation. Biometrics 11: 69–82

Holland J B. 2011. Epistasis and plant breeding. Plant Breeding Reviews 21: 27–91.

Hussain K, Singh D K, Ahmed N and Gazal Nazir. 2006. Multivariate analysis in carrot (Daucus carota L.). Environment and Ecology 24(1): 37–41.

Jadhav M G and Dhumal S A. 1994. Genetic studies of some quantitative characters in chilli. Journal of Maharashtra Agricultural University 19(1): 62–64.

Jagosz B. 2012. Combining ability of carrot (Daucus carota L.) lines and heritability of yield and its quality components. Folia Horticulturae 24(2): 115–22.

Karklelienë R, Bobinas È and Stanienë G. 2005. Combining ability of morphological traits and biochemical parameters in carrot (Daucus sativus Rohl.) CMS lines. Biologija 3: 15–18.

Mather K and Jinks J L. 1982. Biometrical Genetics, 3rd edn. Chapman and Hall, London

Plant Breeding Tools (PBT). 2013. Plant breeding, genetics and biotechnology, International Rice Research Institute, Philippines.

Selvakumar R, Pritam Kalia, Sureja A K and Raje R S. 2019. Genetic analysis of structural traits in tropical carrot (Daucus carota L.). EC Agriculture 5(1): 4–14.

Selvakumar R, Pritam Kalia and Raje R S. 2017. Genetic analysis of root yield and its contributing traits in tropical carrot (Daucus carota L.). Indian Journal Horticulture 74(2): 214–19.

Selvakumar R, Pritam Kalia and Raje R S. 2019. Genetic analysis of nutritional traits in tropical carrot (Daucus carota L.). Genetika 51(2): 641–60.

Selvakumar R, Dalasanuru Chandregowda Manjunathagowda, Pritam Kalia and Raje R S. 2021. Genetic analysis of root traits in tropical carrots (Daucus carota L.). Genetic Resources Crop Evolution.

Singh H V, Singh S P, Singh M and Singh S. 2002. Genetic analysis of quantitative traits in brinjal (Solanum melongena L.). Vegetable Science 29(1): 84–86.

Singh O, Gowda C L, Sethi S C, Dasgupta T and Smithson J B.1992. Genetic analysis of agronomic characters in chickpea. I. Estimates of genetic variances from diallel designs. Theoretical Applied Genetics 83: 956–62.

Singh R P and Singh S.1992. Estimation of genetic parameters through generation mean analysis in bread wheat. Indian Journal of Genetics and Plant Breeding 52: 369–75.









How to Cite

SELVAKUMAR, R., MANJUNATHAGOWDA, D. C., KALIA, P., & RAJE, R. S. (2021). Assessment of gene action association involved with economic traits of black carrot (Daucus carota). The Indian Journal of Agricultural Sciences, 91(11), 1571–1575.