Analysis of genetic basis of variations and combing ability for yield-related traits in Brassica lines by using line × tester analysis

Paper Details

Research Paper 01/08/2019
Views (310) Download (23)
current_issue_feature_image
publication_file

Analysis of genetic basis of variations and combing ability for yield-related traits in Brassica lines by using line × tester analysis

Shumaila Kousar, Muhammad Sohaib, Rao Touqeer Ahmed, Ch. Muhammad Safeer, Ahmad Raza, Ayaz Khan, Maimoona Qamar
Int. J. Agron. Agri. Res.15( 2), 8-14, August 2019.
Certificate: IJAAR 2019 [Generate Certificate]

Abstract

Brassica is an important oilseed crop. The genetic basis of plant height, no. of primary branches, no. of pods per plant, no. of pods per raceme, pod length, beak length and 1000 grain weight in brassica lines was estimated through combining ability by using line × tester (5 × 3) analysis. The presence of a significant difference in the means squares of analysis of variance indicated that all the genotypes genetically differed from each other for investigated traits. The super value of Ϭ²sca over Ϭ²gca revealed the presence of non-additive gene action for all studied parameters. The results for the gca effect concluded that BN3, BN4, and BC27 had higher gca effect for many traits. Lines exhibited greater contribution then testers for every trait except beak length. The F1 hybrid of BN3 × BC27 was superiors in sca effect for many of the investigated traits. The other best performing hybrids were BN3 × BC7, BN4 × BC27, BCAC × BC7, BCAC × BC27, BCAA × BC7, BCAA× BC27, and BC44 × BC7. This research described the importance of the non-additive type of gene action in brassica and suggested its use in the breeding programs for evaluating genetic variations. The study presented useful information about gene action for various yield controlling traits. Thus, concluded that the use of lines having superior gca and sca in the yield improvement plans for brassica will help in obtaining improved cultivars.

VIEWS 19

Acharya NN, Swain D. 2004. Combining ability analysis of seed yield and its components in Indian mustard (B. juncea L.). Indian Journal of Agricultural Research 38(1), 40-44.

Ahmad M, Naeem M, Khan IA, Farhatullah and Mashwani MN. 2012. Biochemical quality study of genetically diversified Brassica genotypes. Sarhad Journal of Agriculture 28(4), 599-602.

Akbar M, Tahira BM, Atta, Hussain M. 2008. Combining ability studies in rapeseed (Brassica napus L.). International Journal of Agriculture and Biology 10, 205-208.

Anonymous. 2017. Pakistan Economic Survey. Ministry of Finance Division, Economic Advisor’s wing, Islamabad.

Azam SM, Farhatullah, Nasim A, Shah S, Iqbal S. 2013. Correlation studies for some agronomic and quality traits in Brassica napus L. Sarhad Journal of Agriculture 29(4), 547-550.

Azizinia S. 2012. Combining ability analysis of yield component parameters in winter rapeseed genotypes (Brassica napus L.). Journal of Agricultural Sciences 4, 87-94.

Ceyhan E, Avci MA, Karadas S. 2008. Line × tester analysis in pea (Pisum sativum L.): Identification of superior parents for seed yield and its components. African Journal of Biotechnology           7, 2810-2817.

Cheema KL, Sadaqat HA. 2004. The potential and genetic basis of drought tolerance in canola (Brassica napus); II. Heterosis manifestation in some morpho-physiological traits in canola. International Journal of Agriculture and Biology 6(1), 82-85.

Delourme R, Falentin C, Huteau V, Clouet V, Horvais R, Gandon B, Special S, Hanneton L, Dheu JE, Deschamps M, Margale E, Vincourt P, Renard M. 2006. Genetic control of oil content in oilseed rape (Brassica napus L.). Theoretical and Applied Genetics 113, 1331-1345.

Farhatullah, Ali S, Farmanullah. 2004. Comparative yield potential and other quality characteristics of advanced lines of rapeseed. International Journal of Agriculture and Biology 6(1), 203-205.

Farshadfar E, Kazemi Z, Yaghotipoor A. 2013. Estimation of combining ability and gene action for agro-morphological characters of rapeseed (Brassica napus L.) using line × tester mating design. International Journal of Advanced Biological and Biomedical Research 1, 711-717.

Kanwal M, Farhatullah, Rabbani MA, Iqbal S, Fayyaz L, Nawaz I. 2014. The assessment of genetic diversity between and within Brassica species and their wild relative (Eruca sativa) using SSR markers. Pakistan Journal of Botany 46(4), 1515-1520.

Meena HS, Kumar A, Ram B, Singh VV, Singh BK, Meena PD, Singh D. 2015. Combining ability and heterosis for seed yield and its components in Indian mustard (B. juncea). Journal of Agricultural Science and Technology 17, 1861-1871.

Qian W, Sass O, Meng J, Li M, Frauen M, Jung C. 2007. Heterotic patterns in rapeseed (Brassica napus L.): I. crosses between spring and Chinese semi-winter lines. Theoretical and Applied Genetics 115, 27-34.

Rameah V, Rezai A, Saeidi G. 2003. Estimation of genetic parameters for yield, yield components and glucosinolate in rapeseed (Brassica napus L.). Journal of Agricultural Science and Technology 5, 143-151.

Rameeh V. 2012. Combining ability analysis of plant height and yield components in spring type of rapeseed varieties (Brassica napus L.) using line × tester analysis. International Journal of Agriculture and Forestry 2(1), 58-62.

Rao NV and Gulati SC. 2001. Comparison of gene action in F1 and F2 diallels of Indian mustard (Brassica juncea (L.) Czern & Coss). Crop Research 21, 72-76.

Sabaghnia N, Dehghani H, Alizadeh B, Mohghaddam M. 2010. Heterosis and combining ability analysis for oil yield and its components in rapeseed. Australian Journal of Crop Sciences 4(6), 390-397.

Sheikh IA, Singh JN. 1998. Combining ability analysis of seed yield and oil content in (Brassica juncea L. Czern & Coss). Indian Journal of Genetics and Plant Breeding 58, 507-511.

Shen JX, Fu TD, Yang GS, Ma CZ, Tu JX. 2005. Genetic analysis of rapeseed self-incompatibility lines reveals significant heterosis of different patterns for yield and oil content traits. Plant Breeding 124, 111-116.

Sheoran RK, Yadav IS, Singh A, Singh R. 2000. Combining ability analysis for various characters in brown sarson (B. campestris L.). Cereal Research Communication 28, 81-86.

Singh M, Singh L, Srivastava SBL. 2010. Combining ability analysis in Indian mustard (Brassica juncea L. Czern & Coss). Journal of Oilseed Brassica 1(1), 23-27.

Steel JH, Torrie, Dickey DA. 1997. Principle and procedure of Statistics: A biometrical approach (3rd Ed.). McGraw Hill Book Int. Co. New York.

Wu JG, Shi CH, Zhang HZ. 2006. Partitioning genetic effects due to embryo, cytoplasm and maternal parent for oil content in oilseed rape (Brassica napus L.). Genetics and Molecular Biology 29, 533-538. http://dx.doi.org/10.1590/S141547572006000300023

Yadav YP, Prakash R, Singh R, Singh RK, Yadav JS. 2005. Genetics of yield and its component characters in Indian mustard (Brassica juncea (L.) Czern and Coss.) under rainfed conditions. Journal of Oilseed Research 22, 255-258.