X-ray Induced Morpho-physicochemical Divergence in Peanut (Arachis hypogaea L.) Mutants


Mariom Mitu, Md. Kawsar Alam Nadim, Md. Shamiul Haque, A.S.M Hasibuzzaman, Sakina Khanam, Md. Abul Kalam Azad


Abstract


Peanut is a crucial source of edible oil and nutrients. Five peanut genotypes' yield and quality parameters were assessed to select superior genotypes. The experiment was conducted in Bangladesh Institute of Nuclear Agriculture HQ's experimental field, Mymensingh-2202. Correlation study identified significant positive correlation of pods plant-1, kernel weight and shelling % with pod yield. Considering yield and oil content, the genotype B6/282/80 performed the best, with a yield of 2.25t/ha and 54.6% edible oil content. Oleic acid/Linoleic acid (O/L) ratio and iodine content were also higher in B6/282/80, followed by B6/282/63. RM-Kha-19 contains the maximum amount of protein (32.42%), while crude fibre and carbohydrate content were the highest in Binachinabadam-4. B6/282/64 possessed the maximum moisture (6.2%), while B6/282/80 had the highest amount of ash (2.35%). The principal component analysis identified that the first two principal components explained about 74.93% of the total variation. Biplot revealed that B, crude fibre, and ash content were higher in Binachinabadam-4. The genotype B6/282/63 was superior in K, S, Fe, moisture, and carbohydrate content. Genotype B6/282/80 was the best genotype for P content. Ca, Cu, N, Mg and Zn content was higher in the RM-KHA-19 genotype. Combining all the energy sources, the genotype B6/282/80 provides the maximum energy, i.e., 628.4 Kcal/100g. Considering the studied traits, the B6/282/80 has the potential to be set on a multilocational trial for the detection of stability as a new variety.

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References


Kabir, R., Yeasmin, Y., Islam, A. K. M.M.and Sarkar, M. A. R. (2013). Effect of Phosphorus, Calcium and Boron on the Growth and Yieldof Groundnut (Arachis hypogea L.). International Journal of Bio-Science and Bio-Technology. 5(3): 51-58.

BBS (Bangladesh Bureau of Statistics) (2020).Agricultural Statistical Year book of Bangladesh.Bangladesh Bur. Stat., Stat. Div., Minis. Plan.Govt. People's Repub. Bangladesh, Dhaka. p.137.

Janila, P., Nigam, S.N., Abhishek, R., Kumar, V.A., Manohar, S.S. and Venuprasad, R. 2015. Iron and zinc concentrations in peanut (Arachis hypogaea L.) seeds and their relationship with other nutritional and yield parameters. The Journal of Agricultural Science, 153(6):975-994.

Farzana, W. and Khalil, I.A. 1999.Protein quality of tropical food legumes. Journal of Science and Technology, 23:13-19.

Amjad, I., Khalil, I.A. and Shah, H. 2003. Nutritional yield and amino acid profile of rice protein asinfluenced by nitrogen fertilizer. Sarhad J. Agric, 19: 127-134.

Sabate, J. 2003. Nut consumption and body weight. The American journal of clinical nutrition, 78(3):647S-650S.

Singh, U. and Singh, B. 1991. Functional properties of sorghum-peanut composite flour. Cereal chemistry, 68(5):460-463.

Nath, U.K. and Alam, M.S., 2002.Genetic variability, heritability and genetic advance of yield and related traits of groundnut (Arachis hypogaea L.). Journal of Biological Sciences, 2(11): 762-764.

Uddin, N., Islam, M.A. and Baten, M.A. 2016. Heavy metal determination of brinjal cultivated in soil with wastes. Progressive Agriculture, 27(4):453-465.

Upadhyaya H D, Swamy B P M, Goudar P V K, Kullaiswamy B Y, Singh S. 2005. Identification of diverse groundnut germplasm through multienvironment evaluation of a core collection for Asia. Field Crops Research, 93, pp.293–299.

Gupta, S.K., Baek. J., Carrasquilla-Garcia, N. and Penmetsa, R.V. 2015. Genome-wide polymorphism detection in peanut using next-generation restriction-site-associated DNA (RAD) sequencing. Molecular Breeding, 35, 145.

Holbrook, C.C. and Dong, W. 2005. Development and evaluation of a mini core collection for the U.S. peanut germplasm collection. Crop Science, 45: 1540–1544.

Jambunathan, R., Singh, A.K., Gurtu, S. and Raghunath, K., 1993. Amino acid composition, fatty acid composition and levels of protease inhibitors in seeds of wild Arachis species. Oleagineux (France), 48(10): 415-419.

Danish, M. and Nizami, M. 2019. Complete fatty acid analysis data of flaxseed oil using GC-FID method. Data in brief, 23, p.103845.

Hashim, I.B., Koehler, P.E., Eitenmiller, R.R. and Kvien, C.K. 1993. Fatty acid composition and tocopherol content of drought stressed Florunner peanuts. Peanut Science, 20(1): 21-24.

Fekria, A.M., Isam, A.M.A., Suha, O. A. and Elfadil, E.B. 2012. Nutritional and functional characterization of defatted seed cake flour of two Sudanese groundnut (Arachis hypogaea) cultivars. International Food Research Journal, 19(2): 629-637.

Osborne, D.R. and Voogt, P., 1978. Calculation of calorific value. The analysis of Nutrients in Foods, pp.239-240.

Gomez, K.A. and Gomez, A.A., 1984. Statistical procedures for agricultural research. John Wiley & Sons, Newyourk, p. 680.

Nigram, S.N. and Aruna, R., 2008. Improving breeding efficiency for early maturity in peanut. Plant Breeding Reviews, 30: 295–322.

Yol, E., Furat, S., Upadhyaya, H.D. and Uzun, B., 2018.Characterization of groundnut (Arachis hypogaea L.) collection using quantitative and qualitative traits in the Mediterranean Basin. Journal of integrative agriculture, 17(1): 63-75.

Awal, M.A. and Ikeda, T. 2003. Controlling canopy formation, flowering, and yield in field-grown stands of peanut (Arachis hypogaea L.) with ambient and regulated soil temperature. Field Crops Research, 81: 121-132.

Luz, L.N., Santos, R.C. and Filho, P.A.M. 2011. Correlations and path analysis of peanut traits associated with the peg. Crop Breeding and Applied Biotechnology, 11: 88–93.

Jiang, H., Huang, L., Ren, X., Chen, Y., Zhou, X., Xia, Y., Huang, J., Lei, Y., Yan, L., Wan, L. and Liao, B. 2014. Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection. Journal of Integrative Plant Biology, 56: 159–169.

Swamy, B.P.M., Upadhyaya, H.D., Goudar, P.V.K., Kullaiswamy, B.Y. and Singh, S. 2003. Phenotypic variation for agronomic characteristics in a groundnut core collection for Asia. Field Crops Research, 84: 359–371.

Dapaah, H.K., Mohammed, I. and Awuah, R.T. 2014. Growth and yield performance of groundnuts (Arachis hypogaea L.) in response to plant density. International Journal of Plant and Soil Science, 3: 1069–1082.

Anothai, J., Patanothai, A., Jogloy, S., Pannangpetch, K., Boote, K. J. and Hoogenboom, G. 2008. A sequential approach for determining the cultivar coefficients of peanut lines using end of season data of crop performance trials. Field Crops Research, 108: 169–178.

Asibuo, J.Y., Akromah, R., Safo-Kantanka, O., Adu-Dapaah, H.K., Ohemeng-Dapaah, S. and Agyeman, A. 2008.Chemical composition of groundnut, Arachis hypogaea (L) landraces. African Journal of Biotechnology, 7(13): 2203-2208.

Gulluoglu, L., Bakal, H., Onat, B., El Sabagh, A. and Arioglu, H. 2016.Characterization of peanut (Arachishypogaea L.) seed oil and fatty acids composition under different growing season under Mediterranean environment. Journal of Experimental Biology and Agricultural Sciences, 4(5): 564-571.

Farshadfar, E., Rashidi, M., Jowkar, M.M., and Zali, H.2013. GGE biplot analysis of genotype× environment interaction in chickpea genotypes. European Journal of Experimental Biology, 3(1): 417-423.

Yan, W., & Frégeau-Reid, J. 2008. Breeding line selection based on multiple traits. Crop Science, 48(2): 417-423.

Chapman, S., Schenk, P., Kazan, K., and Manners, J.2002. Using biplots to interpret gene expression patterns in plants. Bioinformatics, 18(1): 202-204.

Arya, S. S.,Salve, A. R. and Chauhan, S. (2015). Peanuts as functional food: a review. Journal of Food Science and Technology.53(1): 31-41.

Dahal, S., Dangal, A., Pradhananga, M., Timsina, D., amd Timsina, P. 2022. The Preparation and Quality Evaluation of Biscuit Using Composite Flour By Mixing Wheat Flour, Chickpea Flour, and Peanut Flour. International Journal of Food, Agriculture, and Natural Resources. Vol 3 (1):14-19.




DOI: https://doi.org/10.46676/ij-fanres.v3i3.118

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