Induced genetic variability for quantitative and biochemical traits of local landraces of rajmash (Phaseolus vulgaris) of north-western Himalayas


254 / 363

Authors

  • SANJEEV KUMAR Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu, Jammu and Kashmir 180 009, India image/svg+xml
  • SHILPA BHAGAT Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu, Jammu and Kashmir 180 009, India image/svg+xml
  • ARCHANA JOSHI SAHA Bhabha Atomic Research Centre, Trombay, Mumbai, Maharashtra. image/svg+xml
  • SUBHASH CHANDER KASHYAP Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu, Jammu and Kashmir 180 009, India image/svg+xml
  • RADHYASHYAM KUMAWAT Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu, Jammu and Kashmir 180 009, India image/svg+xml

https://doi.org/10.56093/ijas.v94i11.151450

Keywords:

Iron, Genetic advance, Heritability, Mutants, Protein, Rajmash, Seed yield, Zinc

Abstract

The present study was carried out during rainy (kharif) seasons of 2020 and 2021 at Regional Horticulture Research Station (Sher-e-Kashmir University of Agricultural Sciences and Technology, Jammu, Jammu and Kashmir), Bhaderwah, Doda, Jammu, Jammu and Kashmir to evaluate genetic variability for quantitative and biochemical traits of local landraces of rajmash (Phaseolus vulgaris L.) of north-western Himalayas. Twenty-two induced mutant lines of rajmash generated with gamma rays and ethyl methane sulphonate were screened for quantitative, qualitative and anthracnose reactions under natural and artificial conditions in the field during kharif 2020 (M3) and 2021 (M4). The highly significant differences imply that induced mutant lines for different traits exhibited substantial amount of genetic diversity. Zinc content (55.38) and grain yield/plant (33.24) both had high phenotypic coefficients of variation, while 1000-seed weight (10.14) and protein content had low values (9.83). Zinc content had highest genetic advance, measured as a percentage of the mean, and the highest heritability, followed by grain yield/plant, iron content, number of pods/plant, number of clusters/plant, days to flowering and number of seeds/pod, whereas days to maturity and 1000-seed weight were moderate. The number of pods/plant (0.774), number of seeds/pod (0.556), number of clusters/plant (0.729), length of pod (0.648) and 1000-seed weight (0.620) all exposed a highly significant relationship with grain yield/plant but the days to flowering (-0.636) and days to maturity showed negative correlation (-0.602). It is obvious that the 9 induced mutant lines of Bhaderwah local and Poonch local i.e. R-BL-M3-1, R-BL-M3-9, R-BL-M3-10, R-BL-M3-12, R-BL-M3-13, R-BL-M3-14, R-PL-M3-18, R-PL-M3-20 and R-PL-M3-22 showed the minimum anthracnose disease incidence along with early emergence and superiority in grain yield/plant compared to controls. These mutant lines may be carried forward for the development of mutant genetic stocks and varietal development programmes of rajmash for north-western Himalayan region.

Downloads

Download data is not yet available.

References

Allard R W. 1960. Principles of Plant Breeding. John Willey and Sons Inc, USA.

Asaduzzaman B, Hossain M J H and Raffi S A. 2014. Correlation and path coefficient analysis of fourteen different genotypes of lablab bean. Bangladesh International Journal of Plant Breeding Genetics 26(1): 37–44. DOI: https://doi.org/10.3329/bjpbg.v27i1.23976

Bhagat S, Kumar S and Dogra S. 2023. Identification of induced mutants for morpho-physiological and biochemical traits of rajmash. The Indian Journal of Agricultural Sciences 93(7): 63–68. https://doi.org/10.56093/ijas.v93i12.135595 DOI: https://doi.org/10.56093/ijas.v93i12.135595

Burton G W. 1952. Quantitative Inheritance in Grasses. (In) Proceedings of 6th International Grassland Congress 1: 277–83. Davies N T and Reid H. 1979. An evaluation of iron and zinc content from soya based textural vegetable protein. British Journal of Nutrition 41(3): 579–89. DOI: https://doi.org/10.1079/BJN19790073

Gangadhara K, Selvakumar K and Jagadeesha R C. 2018. Genetic variability for structural and economic traits in french bean. International Journal of Current Microbiology and Applied Sciences 7(10): 1718–23. DOI: https://doi.org/10.20546/ijcmas.2018.710.197

Ghimire N H and Mandal H N. 2019. Genetic variability, heritability and genetic advance of Common bean (Phaseolus vulgaris L.) genotypes at mountain environment of Nepal. International Journal of Advanced Research in Biological Sciences 6(10): 46–56.

Jan S, Rather I A, Sofi P A, Wani M A, Sheikh F A, Bhat M A and Mir R R. 2021. Characterization of common bean germplasm for morphological and seed nutrient traits from western Himalayas. Legume Science 3(2): 86. DOI: https://doi.org/10.1002/leg3.86

Johnson H W, Robinson H F and Comstock R E. 1955. Estimation of genetic and environmental variability in soyabean. Journal of Agronomy 47: 314–18. DOI: https://doi.org/10.2134/agronj1955.00021962004700070009x

Kantoglu K Y, Tepe A, Kunter B, Fırat A F and Peşkircioglu H. 2014. Vegetable crops breeding by induced mutation and a practical case study of Capsicum annuum (L.). Mutagenesis: Exploring Genetic Diversity of Crops 41–55. DOI: https://doi.org/10.3920/9789086867967_004

Ketema W and Geleta N. 2022. Studies on genetic variability of common bean (Phaseolus vulgaris L.) varieties for yield and yield related traits in Western Ethiopia. International Journal of Applied Agricultural Sciences 8(1): 41–49. DOI: https://doi.org/10.11648/j.ijaas.20220801.15

Khan S and Goyal S. 2009. Mutation genetic studies in mungbean IV: Selection of early maturing mutants. Thailand Journal of Agriculture Science 42(2): 109–13.

Kharkwal M C. 2012. A brief history of plant mutagenesis, Plant Mutation Breeding and Biotechnology, pp. 21–30. Shu Q Y, Forster B P and Nakagawa H (Eds.). CABI. DOI: https://doi.org/10.1079/9781780640853.0021

Kjeldahl J G C T. 1883. A new method for the estimation of nitrogen in organic compounds. Annals of Chemistry 22(1): 366–82.

Kumar S, Singh P, Khar S and Sharma M. 2016. Variability and association studies and screening of genotypes against pea seed borne mosaic virus (psmv) in lentil (Lens culinaris Medik) under north-western Himalayas of Jammu and Kashmir. Legume Research 39(1): 26–30. DOI: https://doi.org/10.18805/lr.v0iOF.6782

Kumar S and Singh P. 2017. Correlation and path analysis for seed yield and yield attributing traits in chickpea under mid hills of Jammu and Kashmir, India. American Research Journal of Agriculture 3: 1–6.

Kumar S, Kumar A, Abrol V, Singh A P and Singh A K. 2020. Genetic variability and divergence studies in mungbean (Vigna radiata) under rainfed conditions. The Indian Journal of Agricultural Sciences 90(5): 905–08. DOI: https://doi.org/10.56093/ijas.v90i5.104357

Kumar S, Singh M, Malhotra N, Archna J S, Jambhulkar S, Sharma J P and Singh M. 2021. Induced mutants in locally adapted landraces of french bean, their mutagenic sensitivity and mutability for crop improvement. Acta Scientific Agriculture 5(12): 10–16. DOI: https://doi.org/10.31080/ASAG.2021.05.1079

Kumar S, Singh M, Malhotra N, Blair M W, Sharma J P and Gupta R. 2021. Introgression of anthracnose resistance into the background of locally adapted common bean landraces. Euphytica 217(4): 52. https://doi.org/10.1007/s10681-021-02784-1 DOI: https://doi.org/10.1007/s10681-021-02784-1

Laskar R A, Dowarah B, Tamang D, Das S, Borah P and Raina A. 2024. Improving french bean yield potential through induced mutagenesis using EMS and SA. Frontier Horticulture: Breeding and Genetics 2024(2). https://doi.org/10.3389/ fhort.2023.1288720 DOI: https://doi.org/10.3389/fhort.2023.1288720

Lekshmanan D K and Vahab A. 2018. Correlation and path coefficient analysis of yield and its component characters among different accessions of cluster bean. Legume Research 41(1): 53– 56. DOI: https://doi.org/10.18805/10.18805/LR-3691

Maibam N, Satish C, Baiswar P, Majumder D and Saikia K. 2015. Host plant resistance and yield loss due to anthracnose caused by Colletotrichum lindemuthianum french bean (Phaseolus vulgaris). Indian Journal of Hill Farming 28(1): 14–18.

Mammo K and Dagnachew L. 2019. Genetic variability of common bean (Phaseolus vulgaris L.) genotypes under sole and maize- bean cropping systems in Bako, Western Oromia, Ethiopia. African Journal of Agriculture Research 14(7): 419–29. DOI: https://doi.org/10.5897/AJAR2018.13725

Mayee C D and Datar V V. 1986. Phytopathometry. Technical bulletin-1. Marathwada Agricultural University, Parbhani, Maharashtra.

Panse V G and Sukhatme P V. 1985. Statistical Methods for Agricultural Workers. ICAR, New Delhi.

Ramya B, Nallathambi G and Ram S G. 2014. Genetic variability, heritability, and genetic advance in induced mutagenesis blackgram. Plant Archives 14(1): 139–41.

Schmutz J, McClean P E, Mamidi S, Wu G A, Cannon S B, Grimwood J and Jackson S A. 2014. A reference genome for common bean and genome-wide analysis of dual domestications. Nature Genetics 46(7): 707–13. DOI: https://doi.org/10.1038/ng.3008

Singh J, Kanaujia R, Srivastava A K, Dixit G P and Singh A P. 2017. Genetic variability for iron and zinc as well as antinutrients affecting bioavailability in blackgram. Journal of Food Science Technology 54(4): 1035–42. DOI: https://doi.org/10.1007/s13197-017-2548-1

Downloads

Submitted

2024-05-09

Published

2024-11-13

Issue

Section

Articles

How to Cite

KUMAR, S. ., BHAGAT, S. ., SAHA, A. J. ., KASHYAP, S. C. ., & KUMAWAT, R. . (2024). Induced genetic variability for quantitative and biochemical traits of local landraces of rajmash (Phaseolus vulgaris) of north-western Himalayas. The Indian Journal of Agricultural Sciences, 94(11), 1201–1206. https://doi.org/10.56093/ijas.v94i11.151450
Citation