Assessment of genetic diversity in different genotypes of mustard (Brassica juncea L.)

Paper Details

Research Paper 01/08/2019
Views (703)
current_issue_feature_image
publication_file

Assessment of genetic diversity in different genotypes of mustard (Brassica juncea L.)

Kirshan Kumar Menghwar, Jay Kumar Soothar, Tanweer Fatah Abro, Tarique Ahmed Baloch, Feroz Gul Nizamani, Mukesh Kumar Soothar, Wahid Dino Sipio, Mohsin Ali Khaskheli
Int. J. Biosci. 15(2), 297-304, August 2019.
Copyright Statement: Copyright 2019; The Author(s).
License: CC BY-NC 4.0

Abstract

The present study is about the estimation of genetic diversity among oilseed cultivars based on morphological characterization to fill the gap between production and consumption of edible oil. The research was conducted during 2017-2018 in Randomized Complete Block Design with six genotypes like juncea Group, Mirpur bithoro-I, Samara road-II, UCD-5/12, P-53-126/40, Rainbow and JS-13 (check) repeated in triplicate at Oilseeds Research Section Tandojam to determine the mean performance and genetic diversity on different genotypes of mustard (Brassica juncea L.). The results showed that all the genotypes had dissimilarity and significant differences (P <0.01) for growth and yield performance for all parameters. Mean performance indicated that among the cultivars UCD-5/12 surpassed all genotypes for days to 75% flowering (58.33), branches plant-1 (7.53) and yield (1133.9 kg ha-1). P-53-126/40 and Rainbow showed highest values in plant population plot-1 (159.00) and day to 90% maturity (127.65). More number of pods plant-1 (544.8) and yield plant-1 (25.68 g) were recorded in Samara road-II. Mirpur bithoro-I and JS-13 indicated maximum plant height (162.27cm), seed index (1000 grain weight, g) (4.62) and oil content (36.54%) respectively. Considering the genetic distance, out of 15 pair of comparisons, 3 pairs showed the highest genetic distance which can extensively be utilized in heterosis breeding; however, 12 pairs of comparisons revealed narrow genetic distance, which may be proved useful in backcross breeding programs. In total, first three principal component accounted 80.1% variability, which is considered very high and could be utilized for further breeding programs in mustard.

Avtar R, Manmohan M,  Jattan, Rani B, Kumari N, Thakral NK, Sheoran RK. 2017. Evaluation and diversity analysis in Indian mustard (Brassica juncea L.) germplasm accessions on the basis of principal component analysis. Journal of Applied & Natural Science 9(4), 2485- 2490. https://doi.org/10.31018/jans.v9i4.1558

Bibi T, Riaz A, Mahmood T, Akhter M, Haider Z, Riaz M. 2017. Genetic divergence of quantitative traits in Brassica juncea L. genotypes based on multivariate analysis. Asian Research Journal of Agriculture 3(4), 1-8. http://dx.doi.org/10.9734/ARJA/2017/31449

Chandra K, Pandey A, Mishra SB. 2018. Genetic diversity analysis among Indian mustard (Brassica juncea L.) genotypes under rain fed condition. International Journal of Current. Microbiology & Applied Science 7(3), 256-268. https://doi.org/10.20546/ijcmas.2018.703.030

Gomez, KA, Gomez AA. 1984. Statistical procedure for Agricultural research. John wiley and sons Inc. 2nd (Ed) New York, U.S.A.

Iqbal S, Farhatullah S, Shah M, Kanwal L, Fayyaz, Afzal M. 2014. Genetic variability and heritability studies in indigenous Brassica rapa accessions. Pakistan Journal of Botany 46(2), 609-612.

Khan FA, Muhammad Y, Ghulam M. 2005. Correlation and factor wise contribution of the characters related to yield and quality of Brassica juncea L. International Journal of Agriculture & Biology 7(2), 257-259. http://dx.doi.org/1560–8530/2005/07–2–257–259

Khan MH, Ali MM, Vhuiyan SR, Mahmud F. 2013. Genetic divergence in rapeseed-mustard (Brassica rapa L.). Bangladesh Journal of Agriculture Research 38(3), 417-423.

Kumar R, Singh GS, Singh J, Kumar H. 2016. Study of correlation and path coefficient analysis in germplasm lines of Indian mustard (Brassica juncea L.). Agricultural Science Digest 36(2), 92-96. http://dx.doi.org/10.18805/asd.v36i2.10625

Kumari A, Kumari V. 2018. Studies on genetic diversity in Indian mustard (Brassica juncea L.) for morphological characters under changed climate in the mid-hills of Himalayas. Journal of Pharmaceutical Innovation 7(7), 290-296.

Mustafa HSB, Mahmood T, Hassan E, Hassan M, Hameed A, Siddique F, Tayyab M. 2017. Seed yield evaluation and association between yield components in different advanced lines of mustard (Brassica juncea L.). Speciality Journal of Agricultural Sciences 3(2), 8-13.

Neeru, Thakral NK, Avtar R, Singh A. 2015. Evaluation and classification of Indian mustard (Brassica juncea L.) genotypes using principal component analysis. Journal of Oilseed Brassica 6(1), 167-174.

Pandey R, Kumar B, Kumar M. 2013. Genetic divergence for quantitative traits in Indian mustard (Brassica juncea L.). American-Eurasian Journal of Agricultural & Environmental Science 13(3), 348-351.

Rakow G, Woods DL. 1987. Out crossing in rape and mustard under Saskatchewan prairies conditions. Journal of Plant Science 67(1), 147-151. https://doi.org/10.4141/cjps87-017

Sandhu R, Rai SK, Bharti R, Kour A, Gupta SK, Verma A. 2017. Studies on genetic diversity among various genotypes of Brassica napus L. using morphological markers. International Journal of Current Microbiology & Applied Science 6(7), 469-480. https://doi.org/10.20546/ijcmas.2017.607.056

Tudu VK, Kumar A, Rani V. 2018. Assessment of genetic divergence in Indian mustard (Brassica juncea L.) based on yield attributing traits. Journal of Pharma & Phytochemicals 1(1), 2093-2096.

Verma U, Thakral NK, Neeru. 2016. Genetic diversity analysis in Indian mustard (Brassica juncea L.) International Journal of Applied Mathematics & Statistical Science (3), 25-34.

Related Articles

Response of different soybean varieties to phosphorus fertilizer microdosing and rhizobium inoculation in the sub-humid zone of Northern Benin

Pierre G. Tovihoudji*, Kamarou-Dine Seydou, Lionel Zadji, Sissou Zakari, Valerien A. Zinsou, Int. J. Biosci. 27(6), 201-213, December 2025.

On-farm validation of black soldier fly larvae meal as a sustainable replacement for shrimp meal in rainbow trout diets in the mid hills of Nepal

Ishori Singh Mahato, Krishna Paudel*, Sunita Chand, Anshuka Bhattarai, Int. J. Biosci. 27(6), 189-200, December 2025.

Insect fauna associated with Cucumis sativus (Cucurbitales: Cucurbitaceae) in Parakou, A cotton-growing area of central Benin

Lionel Zadji*, Mohamed Yaya, Roland Bocco, Prudencia M. Tovignahoua, Abdou-Abou-Bakari Lassissi, Raphael Okounou Toko, Hugues Baimey, Leonard Afouda, Int. J. Biosci. 27(6), 175-188, December 2025.

First record of two hymenopteran species, Brachymeria excarinata Gahan (Chalcididae) and Pteromalus sp. (Pteromalidae), as hyperparasitoids of Diadegma insulare in Senegal

Babacar Labou*, Etienne Tendeng, Mamadou Diatte, El hadji Sérigne Sylla, Karamoko Diarra, Int. J. Biosci. 27(6), 167-174, December 2025.

Hepatoprotective and antinociceptive effects of terpinolene in streptozotocin-induced diabetic peripheral neuropathic rats

Ravishankar Sarumathi, Muthukumaran Preethi, Chandrasekaran Sankaranarayanan*, Int. J. Biosci. 27(6), 156-166, December 2025.

Agromorphological characterization of six promising bambara groundnut [Vigna subterranea (L.) Verdc.] genotypes under selection in Burkina Faso

Adjima Ouoba*, Ali Lardia Bougma, Dominique Nikiéma, Mahamadi Hamed Ouédraogo, Nerbéwendé Sawadogo, Mahama Ouédraogo, Int. J. Biosci. 27(6), 145-155, December 2025.

Integrated in silico and in vitro analyses reveal E-cadherin crosstalk and TF: FVIIa complex-mediated trophoblast motility via MEK/JNK activation

Kirthika Manoharan, Jagadish Krishnan, Vijaya Anand Arumugam, Shenbagam Madhavan*, Int. J. Biosci. 27(6), 136-144, December 2025.

Effect of flooding depth and harvest intensity on soil moisture dynamics and production of baobab (Adansonia digitata) seedlings

Sissou Zakari, Pierre G. Tovihoudji, Mouiz W. I. A. Yessoufou, Sékaro Amamath Boukari, Vital Afouda, Imorou F. Ouorou Barrè, Int. J. Biosci. 27(6), 127-135, December 2025.