Skip to main content
Log in

Infusing genetic variability for productivity and drought tolerance traits from Brassica carinata into Brassica juncea genotypes

  • Research Article
  • Published:
Genetic Resources and Crop Evolution Aims and scope Submit manuscript

Abstract

Brassica carinata is known to tolerate most of the biotic and abiotic stresses. Development of B. carinata-derived introgression lines (ILs) in the nuclear background of B. juncea, is likely to create enormous genetic variability for drought tolerance. The present study was, therefore, conducted to develop B. carinata-derived introgression lines (ILs) and characterize the genetic variability in a set of 191 ILs developed in the background of DRMRIJ 31, Pusa Mustard 30 and Pusa Agrani under both rainfed and irrigated conditions. Analysis of variance on fifteen seed yield contributing and three physiological traits displayed sufficient phenotypic variability among ILs under rainfed and irrigated conditions. Introgression lines exhibited higher or equivalent mean values for harvest index, 1000-seed weight, chlorophyll content, canopy temperature depression and leaf area index traits under rainfed conditions than in irrigated conditions. High heritability (> 60%), genotypic and phenotypic coefficient of variation (> 20%) and genetic advance as a percent of mean (> 20%) were observed for secondary branches/plants, seed yield/plant, biological yield/plant and seed yield/plot traits under both water regimes. Under moisture deficit stress conditions seed yield/plant, harvest index, 1000 seed weight and oil content had significant association and higher direct effects on seed yield/plot. Twenty-eight ILs identified to be highly productive and water use efficient, can be utilized for improving the seed yield of Indian mustard in water-scarce regions. The study demonstrates the significance of B. carinata in creating novel genetic variability for improving seed yield traits and drought tolerance in the Indian mustard.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

All data generated or analyzed during this study are included in the paper or supplementary information.

References

  • Akabari VR, Niranjana M (2015) Genetic variability and trait association studies in Indian mustard (Brassica juncea). Int J Agri Sci 11(1):35–39

    Google Scholar 

  • Albayrak S, Tongel O (2006) Path analyses of yield and yield-related traits of common vetch (Vicia sativa L.) under different rainfall conditions. Anadolu J Agric Sci 21(1):27–32

    Google Scholar 

  • Ali N, Javidfar F, Elmira JY, Mirza MY (2003) Relationship among yield components and selection criteria for yield improvement in winter rapeseed (Brassica napus L.). Pak J Bot 35(2):167–174

    Google Scholar 

  • Anonymous (2023) USDA foreign agricultural service, global agricultural information network circular series, WAP 6–23

  • Banga S, Kaur G, Salisbury GK, Wratten N, Burton W, Singh D, Cowling W (2007) Germplasm diversity and heterosis in oilseed rape (Brassica napus L.). In: The 12th international rapeseed congress 8–10

  • Bhargava SC, Tomar DPS, Sinha SK (1984) Physiological basis of productivity in Brassica ecotypes. Research and development strategies for oil seed production in India. ICAR Publication, New Delhi, pp 103–110

    Google Scholar 

  • Blanco FF, Folegatti MV (2003) A new method for estimating the leaf area index of cucumber and tomato plants. Hortic Bras 21(4):666–669

    Article  Google Scholar 

  • Bosekeng G (2019) Response of Ethiopian mustard (Brassica carinata A. Braun) to different levels of vermicompost in North East Botswana. World J Agric Res 7(3):112–118

    Google Scholar 

  • Chatterjee D, Banga S, Gupta M, Bharti S, Salisbury PA, Banga SS (2016) Resynthesis of Brassica napus through hybridization between B. juncea and B. carinata. Theor Appl Genet 129:977–990

    Article  CAS  PubMed  Google Scholar 

  • Chauhan JS, Singh KH, Singh VV, Kumar S (2011) Hundred years of rapeseed-mustard breeding in India: accomplishments and future strategies. Indian J Agric Sci 81(12):1093–1109

    Google Scholar 

  • Choudhary BR, Joshi P, Ramarao S (2000) Interspecific hybridization between Brassica carinata and Brassica rapa. Plant Breed 119(5):417–420. https://doi.org/10.1046/j.1439-0523.2000.00503.x

    Article  Google Scholar 

  • de Mendiburu F (2021) Agricolae: statistical procedures for agricultural research. R package version 1.3–5

  • Din J, Khan SU, Ali I, Gurmani AR (2011) Physiological and agronomic response of canola varieties to drought stress. J Anim Plant Sci 21(1):78–82

    Google Scholar 

  • Federer WT (1961) Augmented designs with one-way elimination of heterogeneity. Biometrics 17(3):447–473

    Article  MathSciNet  Google Scholar 

  • Fernandez GC (1992) Effective selection criteria for assessing plant stress tolerance. In: Proceeding of the international symposium on adaptation of vegetables and other food crops in temperature and water stress, Aug. 13–16, Shanhua, Taiwan, 257–270

  • Gupta SK, Pratap A (2007) History, origin, and evolution. Adv Bot Res 45:1–20. https://doi.org/10.1016/S0065-2296(07)45001-7

    Article  CAS  Google Scholar 

  • Inomata N (1997) Wide hybridization and meiotic pairing. In: Kalia HR, Gupta SK (eds) Recent advances in oilseed brassicas. Kalyani Publ, Ludhiana, pp 53–76

    Google Scholar 

  • Jat RS, Singh VV, Sharma P, Rai PK (2019) Oilseed Brassica in India: demand, supply, policy perspective and future potential. OCL 26:8. https://doi.org/10.1051/ocl/2019005

    Article  Google Scholar 

  • Jiang Y, Tian E, Li R, Chen L, Meng J (2007) Genetic diversity of Brassica carinata with emphasis on the interspecific crossability with B. rapa. Plant Breed 126(5):487–491. https://doi.org/10.1111/j.1439-0523.2007.01393.x

    Article  CAS  Google Scholar 

  • Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybeans 1. Agron J 47(7):314–318. https://doi.org/10.2134/agronj1955.00021962004700070009x

    Article  Google Scholar 

  • Joshi V, Pathak HC, Patel JB, Haibatpure S (2009) Genetic variability, correlation and path analysis over environments in mustard. GAU Res J 34(1):14–19

    Google Scholar 

  • Kardam DK, Singh VV (2005) Correlation and path analysis in Indian mustard (Brassica juncea (L.) Czern & Coss) grown under rainfed condition. J Spices Arom Crops 14(1):56–60

    Google Scholar 

  • Kumar S, Misra MN (2007) Study on genetic variability, heritability and genetic advance in populations in Indian mustard (Brassica juncea L. Czern and Coss.). Int J Plant Sci 2:188–190

    Google Scholar 

  • Kumar S, Ram S, Chakraborty M, Ahmad E, Verma N, Lal HC et al (2019) Role of genetic variability for seed yield and its attributes in linseed (Linum usitatissimum L.) improvement. J Pharmacogn Phytochem 8:266–268

    CAS  Google Scholar 

  • Lal KN, Rao MS (1951) A rapid method of leaf area determination. Nature 167(4237):72–72

    Article  ADS  CAS  PubMed  Google Scholar 

  • Lenka D, Mishra B (1973) Path coefficient analysis of yield in rice varieties. Indian J Agric Sci 43(4):376

    Google Scholar 

  • Limbalkar OM, Singh R, Kumar P, Nanjundan J, Parihar CM et al (2021) Deployment of Brassica carinata a. Braun derived Brassica juncea (L.) czern. lines for improving heterosis and water use efficiency under water deficit stress conditions. Front Plant Sci 12:765645. https://doi.org/10.3389/fpls.2021.765645

    Article  PubMed  PubMed Central  Google Scholar 

  • Limbalkar OM, Vasisth P, Singh G, Jain P, Sharma M, Singh R (2023) Dissection of QTLs conferring drought tolerance in B. carinata derived B. juncea introgression lines. BMC Plant Biol 23(1):664

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lozada DN, Carter AH (2019) Accuracy of single and multi-trait genomic prediction models for grain yield in US Pacific Northwest winter wheat. Crop Breed Genet Genom. https://doi.org/10.20900/cbgg20190012

    Article  Google Scholar 

  • Lush JL (1940) Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. J Animal Sci 1940(1):293–301. https://doi.org/10.2527/jas1940.19401293x

    Article  Google Scholar 

  • Majidi MM, Rashidi F, Sharafi Y (2015) Physiological traits related to drought tolerance in Brassica. Int J Plant Prod. 9(4):541–560

    Google Scholar 

  • Meena HS, Kumar A, Singh VV, Meena PD, Ram B, Kulshrestha S (2017) Genetic variability and inter-relation of seed yield with contributing traits in Indian mustard (Brassica juncea). J Oilseed Brassica 81(2):131–137

    Google Scholar 

  • Navabi ZK, Stead KE, Pires JC, Xiong Z, Sharpe AG, Parkin IA, Rahman MH, Good AG (2011) Analysis of B-genome chromosome introgression in interspecific hybrids of Brassica napus × B. carinata. Genet 187(3):659–673. https://doi.org/10.1534/genetics.110.124925

    Article  CAS  Google Scholar 

  • Olivoto T, L’ucio AD (2020) Metan: an R package for multi-environment trial analysis. Methods Ecol Evol 11(6):783–789

    Article  Google Scholar 

  • Patel PB, Patel PJ, Patel JR, Patel PC (2021) Elucidation of genetic variability and inter-relationship studies for seed yield and quality traits in Indian mustard [Brassica juncea (L.) Czern and Coss]. Electron J Plant Breed 12(2):589–596

    Google Scholar 

  • Phuke RM, Anuradha K, Radhika K, Jabeen F, Anuradha G et al (2017) Genetic variability, genotype × environment interaction, correlation, and GGE biplot analysis for grain iron and zinc concentration and other agronomic traits in RIL population of sorghum (Sorghum bicolor L. Moench). Front Plant Sci 8:712. https://doi.org/10.3389/fpls.2017.00712

    Article  PubMed  PubMed Central  Google Scholar 

  • Prakash S (1973) Non-homologous meiotic pairing in the A and B genomes of Brassica: its breeding significance in the production of variable amphidiploids. Genet Res Camb 21:133–137. https://doi.org/10.1017/S0016672300013318

    Article  Google Scholar 

  • Prakash S, Chopra VL (1988) Introgression of resistance to shattering in Brassica napus from Brassica juncea through non-homologous recombination. Plant Breed 101:167–168. https://doi.org/10.1111/j.1439-0523.1988.tb00283.x

    Article  Google Scholar 

  • Priyamedha AK, Haider ZA (2017) Stability for seed yield and component traits in Indian mustard (Brassica juncea L.) under Jharkhand condition. J Oilseed Brassica 1(1):37–42

    Google Scholar 

  • Quarrie SA, Pekic Quarrie S, Radosevic R et al (2006) Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes. J Exp Bot 57(11):2627–2637. https://doi.org/10.1093/jxb/erl026

    Article  CAS  PubMed  Google Scholar 

  • R Core Team (2021) R: a language and environment for statistical computing; R Foundation for Statistical Computing: Vienna, Austria

  • Rao VT, Bharathi D, Mohan YC, Venkanna V, Bhadru D (2013) Genetic variability and association analysis in sesame (Sesamum indicum L.). Crop Res 46:122–125

    Google Scholar 

  • Rauf MA, Rahim MA (2018) Genetic variability studies among yield and its contributing traits in mustard (Brassica napus L.). Adv Zool Bot 6(4):101–108

    Google Scholar 

  • Rodriquez F, Alvarado G, Pacheco A, Burgueno J (2018) ACBD-R. Augmented complete block design with R for windows. Version 4.0. CIMMYT research data & software repository network

  • Roy RK, Kumar A, Kumar S, Kumar A, Kumar RR (2018a) Correlation and path analysis in Indian Mustard (Brassica juncea L. Czern and Coss) under late sown condition. Env Ecol 36(1):247–254

    Google Scholar 

  • Roy SK, Hijam L, Chakraborty M, Vishal N, Das A, Kundu A, Mandal R, Mondal HA (2018b) Cause and effect relationship in yield and its attributing traits in early segregating generations of mustard crosses under Terai Agro-Climatic Zone of West Bengal, India. Int J Curr Microbiol App Sci. https://doi.org/10.20546/ijcmas.2018.703.xx

    Article  Google Scholar 

  • Sandhu SK, Kang MS, Akash MW, Singh P (2019) Selection indices for improving selection efficiency in Indian mustard. J Crop Improv 33(1):25–41. https://doi.org/10.1080/15427528.2018.1539689

    Article  Google Scholar 

  • Saroj R, Soumya SL, Singh S et al (2021) Unraveling the relationship between seed yield and yield-related traits in a diversity panel of Brassica juncea using multi-traits mixed model. Front Plant Sci 12:651936. https://doi.org/10.3389/fpls.2021.651936

    Article  PubMed  PubMed Central  Google Scholar 

  • Sharma P, Sharma HO, Rai PK (2018) Strategies and technologies for enhancing rapeseed-mustard production and farmer income. Indian Farming 68(01):44–48

    Google Scholar 

  • Sheikh FA, Shashi B, Banga SS, Najeeb S, Lone BA, Shikari AB, Rather AG (2009) Development of Ethiopian mustard (Brassica carinata) with improved quality traits through interspecific hybridization with elite lines of Brassica napus and Brassica juncea. J Agric Biol Sci 4(1):6–13

    Google Scholar 

  • Sheikh FA, Banga S, Banga SS, Najeeb S (2011) Development of Ethiopian mustard (Brassica carinata) with broad genetic base through interspecific hybridization with elite lines of Brassica napus and Brassica juncea. J Agric Biotechnol Sustain Dev 3:77–84

    Google Scholar 

  • Sheikh FA, Bangha S, Banga SS (2014) Broadening the genetic base of Abyssinian mustard (Brassica carinata A. Braun) through introgression of genes from related allotetraploid species. Span J Agric Res 3:742–752. https://doi.org/10.5424/sjar/2014123-5365

    Article  Google Scholar 

  • Sheikh FA, Najeeb S, Rather AG, Banga S (2017) Resynthesis of Ethiopian mustard (Brassica carinata L.) from related digenomic species: an unexplored possibility. Afr J Plant Breed 49:1–5

    Google Scholar 

  • Shivanna S (2008) Genetic diversity, combining ability and stability analysis of selected castor lines (Doctoral dissertation, University of Agricultural Sceinces)

  • Singh KH, Chauhan JS (2010) Morphological descriptor of rapeseed mustard varieties. Directorate of Rapeseed Mustard Research, Sewar, Bharatpur, Rajasthan, India, p 61

    Google Scholar 

  • Singh M, Swarnkar GB, Prasad L, Rai G (2002) Genetic variability, heritability and genetic advance for quality traits in Indian mustard [Brassica juncea (L.) Czern and Coss]. Plant Arch 2(1):27–31

    Google Scholar 

  • Singh VV, Rai PK, Siddiqui SA, Verma V, Yadav R (2011) Genetic variability and relative drought tolerance in interspecific progenies of Brassica juncea. Agri Bio J North America 2(1):34–41

    Article  Google Scholar 

  • Singh L, Nanjundan J, Sharma D, Singh KH, Parmar N, Jain R, Thakur AK (2022) Agro-morphological traits and SSR markers reveal genetic variations in germplasm accessions of Indian mustard–an industrially important oilseed crop. Heliyon 8(12):e12519

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Singh KH, Shakya R, Singh KK, Thakur AK, Nanjundan J, Singh D (2015) Genetic enhancement of Brassica carinata through interspecific hybridization and population improvement. In:14th international rapeseed congress (Vol. 281)

  • Smith M (1992) CROPWAT: a computer program for irrigation planning and management (No. 46). Food & Agriculture Org

  • Sujith KMS, Mawlong I, Rani R (2020) Biofortification of Brassicas for quality improvement. In: Wani S, Thakur A, Jeshima Khan Y (eds) Brassica improvement. Springer, Cham

    Google Scholar 

  • Talebi R, Fayaz F, Naji AM (2009) Effective selection criteria for assessing drought stress tolerance in durum wheat (Triticum durum Desf.). Gen Appl Plant Physiol 35:64–74

    Google Scholar 

  • Thakur AK, Singh KH, Sharma D, Parmar N, Nanjundan J (2019) Breeding and genomics interventions in Ethiopian mustard (Brassica carinata A. Braun) improvement—a mini review. S Afr J Bot 125:457–465. https://doi.org/10.1016/j.sajb.2019.08.002

    Article  CAS  Google Scholar 

  • Thakur AK, Singh KH, Parmar N, Sharma D, Mishra DC, Singh L, Yadav S (2021) Population structure and genetic diversity as revealed by SSR markers in Ethiopian mustard (Brassica carinata A. Braun): a potential edible and industrially important oilseed crop. Genet Resour Crop Evol 68(1):321–333. https://doi.org/10.1007/s10722-020-00988-3

    Article  CAS  Google Scholar 

  • Tiwari AKS, Tomar SK, A, Singh, M, (2017) Heritability, genetic advance and correlation coefficient analysis in Indian mustard (Brassica Juncea (L.) Czern & Coss). J Pharmacogn Phytochem 6(1):356–359

    Google Scholar 

  • Tools PB (2014) Version 1.4. Biometrics and breeding informatics, PBGB division. International Rice Research Institute, Los Baños

    Google Scholar 

  • Tripathi N, Kumar K, Tiwari R, Verma OP (2019) Assessing genetic variability in Indian mustard (Brassica juncea L. Czern and Coss.) for seed yield and it’s contributing attributes under normal and saline/alkaline condition. J Pharmacogn Phytochem 8:1322–1324

    CAS  Google Scholar 

  • Vasisth P, Singh N, Limbalkar OM, Sharma M, Dhanasekaran G, Meena ML et al (2023) Introgression of Heterotic Genomic Segments from Brassica carinata into Brassica juncea for Enhancing Productivity. Plants 12(8):1677

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Vijaya Kumar CHM, Arunachalam V, Chakrabarty SK, Kesava Rao PS (1996) Ideotype and relationship between morpho-physiological characters and yield in Indian mustard (Brassica juncea). Indian J Agric Sci 66(11):633–637

    Google Scholar 

  • Wei Z, Wang M, Chang S, Wu C, Liu P, Meng J, Zou J (2016) Introgressing subgenome components from Brassica rapa and B. carinata to B. juncea for broadening its genetic base and exploring intersubgenomic heterosis. Front Plant Sci 7:1677. https://doi.org/10.3389/fpls.2016.01677.10.3389/fpls.2016.01677

    Article  PubMed  PubMed Central  Google Scholar 

  • Yadava DK, Giri SC, Vignesh M, Vasudev S, Kumar Yadav A, Dass B, Singh R, Singh N, Mohapatra T, Prabhu KV (2011) Genetic variability and trait association studies in Indian mustard (Brassica juncea). Indian J Agric Sci 81(8):712

    Google Scholar 

  • Yadav R, Singh R, Kumar S, Prasad TV, Bharadwaj R, Kaur V, Petapadi A, Kumar A (2017) Genetic diversity among indigenous germplasm of Brassica juncea (L.) Czern and Coss, using agro-morphological and phenological traits. Proceedings of the National Academy of Sciences, India Section B: Biol Sci 87:1125–1131. https://doi.org/10.1007/s40011-015-0689-4

Download references

Acknowledgements

OML is grateful to the University Grants Commission of India and Post-Graduate School, ICAR-Indian Agricultural Research Institute (IARI), New Delhi for granting a Senior Research Fellowship. The authors are thankful to the Division of Genetics, ICAR-IARI, New Delhi for providing the necessary facilities during the evaluation of ILs. The authors are also thankful to the ICAR-DRMR, Bharatpur, Rajasthan for extending help and resources for evaluating ILs.

Funding

The research was funded by ICAR-IARI in-house project and Consortia for Research Platform on Hybrid Technology for Higher Productivity in Selected Field and Horticultural Crops- Indian Council of Agricultural Research, New Delhi.

Author information

Authors and Affiliations

Authors

Contributions

OML conducted the field trials, analysed the data and prepared the draft manuscript. PV recorded observations and analysed data. RS maintained the ILs, conducted the trial and recorded observations. MR supervised the cytological analysis, GS, LS, GD, MK and MLM helped in recording the observations in multilocation field trials, NJ helped in data analysis. CMP helped in recording the physiological parameters. VC guided the research. KHS conducted field trials at Bharatpur. NS developed the ILs, conceptualized & supervised the research, analysed the data and wrote the manuscript. All authors read the manuscript and agreed with its content.

Corresponding author

Correspondence to Naveen Singh.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 180 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Limbalkar, O.M., Vasisth, P., Singh, R. et al. Infusing genetic variability for productivity and drought tolerance traits from Brassica carinata into Brassica juncea genotypes. Genet Resour Crop Evol (2024). https://doi.org/10.1007/s10722-024-01922-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10722-024-01922-7

Keywords

Navigation