A cluster analysis of Ricebean (Vigna umbellata (Thumb.) Ohwi and Ohashi) Accessions with Specified NaCl Salt Concentration at Seedling Stage under Controlled Conditions

B. C. Nandeshwar *

Department of Genetics and Plant Breeding, College of Agriculture, Sonapur- Gadchiroli, Pin- 442605, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India.

S. N. Panchabhai

Department of Agricultural Extension Education, Anand Niketan College of Agriculture, Warora, Pin 442914, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India.

S. R. Patil

Department of Genetics and Plant Breeding, College of Agriculture, Sonapur- Gadchiroli, Pin- 442605, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India.

M. M. Raut

Department of Soil Science and Chemistry, College of Agriculture, Sonapur- Gadchiroli, Pin- 442605, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India.

D. K. De

Department of Plant Breeding & Genetics, Faculty of Agriculture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia 741525, West Bengal, India.

*Author to whom correspondence should be addressed.


Abstract

The Ricebean is still seen as a crop that is underappreciated and mistreated. The term salinity describes the buildup of soluble salts in soils, which results in saline soils. The Department of Plant Breeding and Genetics, Faculty of Agriculture, West Bengal, India, used a completely randomized block design (CRBD) and a factorial pattern with three replications to conduct this experiment in a growth chamber. In the specified salt concentration of 120 mM of NaCl salt, data were gathered on a variety of seedling growth traits. D2 values should be lower within a cluster than between clusters. The distance between clusters within cluster III (462.54) is the highest, followed by cluster II (294.43) and cluster I (55.88). As a result, these two groups are more diverse, and hybridization between genotypes in these clusters would facilitate gene transfer. The gap between clusters III and II, VI and I, and clusters VI and IV had the largest intra-cluster distance. The shortest inter-cluster distances were between clusters IV & I, V & I, and V & II. Except for leaf fresh weight, shoot dry weight, root dry weight, and leaf dry weight and on germination percentage, relative reduction of dry weights, tolerance index (TI), and salinity susceptibility index (SSI) of various seedling traits, genotypes belonging to cluster I were found to have the least relative reduction for most characters. Therefore, it may be assumed that the genotypes KRB-10, KRB-271, KRB-189, KRB-273, KRB-77, KRB-81, KRB-95, and KRB-70, which belong to this cluster I, will be tolerant to salinity. Similar to this, twelve genotypes from cluster IV—KRB-56, KRB-211, Bidhan-1, KRB-73, KRB-102, KRB-66, KRB-272, KRB-104, KRB-274, KRB-44, KRB-39, and Bidhan-2—had the highest relative reduction for the majority of the characters. The aforementioned results showed that although the majority of the Ricebean genotypes under investigation had a wide range of individual qualities, when the constellation of traits was considered as a whole, they also belonged to different groups.

Keywords: Ricebean, NaCl, salinity tolerance, cluster analysis, seedling characters


How to Cite

Nandeshwar , B. C., Panchabhai , S. N., Patil , S. R., Raut , M. M., & De , D. K. (2023). A cluster analysis of Ricebean (Vigna umbellata (Thumb.) Ohwi and Ohashi) Accessions with Specified NaCl Salt Concentration at Seedling Stage under Controlled Conditions. International Journal of Environment and Climate Change, 13(9), 2905–2915. https://doi.org/10.9734/ijecc/2023/v13i92525

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References

Joshi. In: Smartt, J. Haq, N. New crops and uses: their role in a rapidly changing world. CUC, UK. 2008;234- 248.

Chandel KPS, Singh BM. Some of our underutilized plants. Indian Fmg. 1984; 34:123-127.

Singh RK, Chaudhry BD. Biometrical methods of quantitative genetic analysis. Kalyani Publishers, Ludhiana, India. 1985;30-34.

Srivastva RP, Srivastava GK, Gupta PK. Nutritional quality of ricebean (Vigna umbellata). Ind. J. Agril. Biochem. 2001;14: 55-56.

Shahid MA, Pervez MA, Balal RM, Abbas T, Ayyub CM, Mattson NS, et al. Screening of pea (Pisum sativum L.) genotypes for salt tolerance based on early growth stage attributes and leaf inorganic osmolytes. AJCS. 2012;6(9):1324-1331.

Munns R. Comparative physiology of salt and water stress. Plant Cell Environ. 2002; 25:239-250.

Jamil M, Lee DB, Jung KY, Ashraf M, Lee SC, Rha ES. Effect of salt (NaCl) stress on germination and early seedling growth of four vegetables species. J. Cen. Europ. Agri. 2006;7(2):273-282.

Chunthaburee S, Dongsansuk A, Sanitchon J, Pattanagul W, Theerakulpisut P. Physiological and biochemical parameters for evaluation and clustering of rice cultivars differing in salt tolerance at seedling stage. Sau. J. Bio Sci. 2016;23: 467–477.

Ali Z, Khan AS, Asad MA. Salt tolerance in bread wheat: genetic variation and heritability for growth and ion relation. Asia J Plant Sci. 2002;1:420-422.

Khan AA, Rao SA, McNilly TM. Assessment of salinity tolerance based upon seedling root growth response functions in maize (Zea mays L.). Euphytica. 2003a;131:81-89.

Khan AS, Asad MA, Ali Z. Assessment of genetic variability for NaCl tolerance in wheat. Pak. J. Agri. Sci. 2003b;40:33-36.

Munns R, James RA, Lauchli A., Approaches to increasing the salt tolerance of wheat and other cereals. J. Exp. Bot. 2006;57:1025–1043.

Shrimali J, Shekhawat AS, Kumari S. Genetic divergence in Barley (Hordeum vulgare L.) under normal and limited moisture stress conditions. International Journal of Current Microbiology and Applied Science. 2017;6(8):2220-2226.

Bhandari HR, Bhanu AN, Srivastava K, Hemantaranjan A. Assessment of genetic diversity in crop plants: An overview. Advances in Plants and Agricultural Research. 2017;7(3):279‒286.

DOI: 10.15406/apar. 07.00255

Nandeshwar BC, Karande PT, Bhoite AG, Shinde SR, Shinde SB, De DK. Effect of NaCl concentrations on germination and growth attributes at early seedling stages in ricebean (Vigna umbellate (Owhi) and (Ohashi)) accessions. Intr J of Tropical Agric. 2017;3(35):653-656.

Fisher RA, Maurer R. Drought resistance in spring wheat cultivars to grain yield responses. Aus. J. Agric. Res. 1978;29: 897-912.

Mahalanobis PCI. On the generalized distance in statistics. Proc. Nat. Inst. Sci. India. 1936;12:49-55.

Urdan TC. Statistics in plain English. 2nd Ed. Lawrence Erlbaum Associates, Mahwah, New Jersey, USA; 2005.

Singh SP, Misra BK, Sikka KC, Chandel KPS, Plant KC. Studies on some nutritional aspect of ricebean (Vigna umbellata). J. Food. Sci. Technol. 1985; 22:180-185.

Golabldi M, Arzani A, Mismohhammadi SAM. Assessment of drought tolerance in segregating population of durum wheat. Afric. J. Agric. Res. 2006;1(5):162-171.

Hosseini SJ, Sarvestani ZT, Pirdashti H. Analysis of tolerance indices in some Rice (Oryza sativa L.) genotypes at salt stress condition, Intl. Res. J. Appl. Basic. Sci. 2012;3(1):1-10.

Cha-um S, Ashraf M, Kirdmanee C. Screening upland rice (Oryza sativa L. ssp. indica) genotypes for salt-tolerance using multivariate cluster analysis. Afr. J. Biotechnol. 2010;9:4731–4740.

Khodadad M. Evaluation of safflower genotypes (Cathamus tinctorius L.) seed germination and seedling characters in salt stress condition. Afric. J. Agric. Res. 2011; 69(7):1667-1672.

Joshi Rekha, Naleeni Ramawat, Rameswar Prasad Sah, Anita Gogia, Akshay Talukdar, Shraddha Sharma, Arun Kumar, Raje RS, Patil AN, Kumar Durgesh. Assessment of salt tolerance potential at the germination and seedling stages in pigeonpea (Cajanus cajan L.) Indian J. Genet. 2022;82(3):311-323.

DOI: 10.31742/ISGPB.82.3.6

Win KT, Zaw AO, Tadashii H, Taiichiro O, Hirata Y. Genetic analysis of Myanmar Vigna species in responses to salt stress at the seedling stage. Afr. J. Biotechnol. 2011;10(9):1615-1624.

Senanayake RMNH, Herath HMVG, Wickramesinghe IP, Udawela UAKS, Sirisena DN. Phenotypic Screening of Rice Varieties for Tolerant to Salt Stress at Seed Germination, Seedling and Maturity Stages. Tropical Agricultural Research. 2017;29(1):90– 100.