Genetic variability and divergence studies to identify and isolate superior genotypes from European radish (Raphanus sativus) germplasm
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Keywords:
Genetic advance, Genotypic, Heritability, Phenotypic, Transgressive segregantsAbstract
The present study was carried during the winter (rabi) seasons of 2019–20 and 2020–21 at Dr. Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh to identify and isolate superior genotypes from European radish (Raphanus sativus L.) germplasm. The experiment was laid out in randomized block design (RBD) comprising of 25 genotypes with three replications. These genotypes were evaluated for various horticultural and yield contributing traits, using the popular check cultivar Pusa Himani as a reference. The combined data from two years revealed significant differences among all the genotypes for the studied traits. Notably, genotypes UHF-SOL-RAD-3, UHF-SOL-RAD-1 and RKR-Sel-III exhibited higher yields compared to the check variety and performed well across most traits. The root top ratio demonstrated the highest phenotypic and genotypic coefficient of variability (34.79% and 34.64%, respectively). Traits such as total soluble solids (TSS), average root weight, root yield, gross plant weight, root top ratio (length basis), and root length exhibited moderate to high heritability along with moderate genetic advances. Based on Mahalanobis D2 statistics, five clusters were identified, with a majority of genotypes falling into cluster II. Cluster III displayed the highest intra-cluster similarity (51.18%), while clusters I, III, and V demonstrated greater diversity, thereby increasing the likelihood of obtaining favourable transgressive segregants through hybridization between genotypes in these clusters.
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References
Allard R W. 1960. Principles of Plant Breeding, pp. 485. John Wiley and Sons, New York, USA.
Anonymous. 2021. Horticultural statistics at a glance 2021. National Horticulture Board Database. http://agricoop.nic.in/sites/default/files/Horticulture Statistics at a Glance-2021.pdf Burton G W and DeVane D H. 1953. Estimating heritability in fall fescue from replicated clonal material. Agronomy Journal 4: 78–81.
Dongarwar L N, Sumedh R, Kashiwar S M, Ghawade and Usha R. 2018. Varietal performance of radish varieties in black soils of Vidharbha-Maharashtra, India. International Journal of Current Microbiology and Applied Sciences 7: 491–501. DOI: https://doi.org/10.20546/ijcmas.2018.701.058
Guleria N. 2016. ‘Studies on genetic divergence in temperate radish’. MSc thesis. Dr Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh.
Han Q, Li J, Shen H, Sakaguchi S, Isagi Y and Setoguchi H. 2022. Genetic diversity and population structure of wild radish in East Asia. Journal of Animal and Plant Sciences-JAPS 32(4): 1110–19. DOI: https://doi.org/10.36899/JAPS.2022.4.0515
Jatoi S A, Javaid A, Muhammad I, Sayal O U, Shahid M and Siddiqui S U. 2011. Genetic diversity in radish germplasm for morphological traits and seed storage proteins. Pakistan Journal Botanical 43: 2507–12.
Jing P, Zhao S, Ruan S, Sui Z, Chen L, Jiang L and Qian B. 2014. Quantitative studies on structure-ORAC relationships of anthocyanins from eggplant and radish using 3D-QSAR. Food Chemistry 145: 365–71. DOI: https://doi.org/10.1016/j.foodchem.2013.08.082
Johnson H W, Robinson H F and Comstock R E. 1955. Estimates of genetic and environmental variability in soybean. Journal of Agronomy 47: 314–18. DOI: https://doi.org/10.2134/agronj1955.00021962004700070009x
Lakra A, Singh D, Prasad V M, Deepanshu and Shabi M. 2017. Effect of nitrogen and phosphorus on growth and yield of radish (Raphanus sativus L.) cv. Pusha Chetki under shade net condition. The Pharma Innovation Journal 6(11): 768–70.
Lamo K, Korla B N and Shukla Y R. 2012. Effect of different organic and inorganic nutrient sources on seed production of radish (Raphanus sativus cv. Chinese Pink). Life Sciences Leaflets 2: 38–44.
Liang G H L and Walter T H. 1969. Heritability estimates and gene effects for agronomic traits in grain sorghum (Sorghum bicolor (L.) Moench). Crop Science 8(1): 77–80. DOI: https://doi.org/10.2135/cropsci1968.0011183X000800010022x
Lu N, Yamane K and Ohnishi O. 2008. Genetic diversity of cultivated and wild radish and phylogenetic relationship among Raphanus and Brassica species revealed by the analysis of trnK/matK sequence. Breeding Science 58: 15–22. DOI: https://doi.org/10.1270/jsbbs.58.15
Mahalanobis P C. 1936. Studies on the generalized distance in statistics. In Proceedings of Institute of Science India 2: 49–55.
Matsufuji H, Kido H, Misawa H, Yaguchi J, Otsuki T, Chino M, Takeda M and Yamagata K. 2007. Stability to light, heat, and hydrogen peroxide at different pH values and DPPH radical scavenging activity of acylated anthocyanins from red radish extract. Journal of Agricultural and Food Chemistry 55: 3692–701. DOI: https://doi.org/10.1021/jf063598o
Nagar S K, Paliwal A, Tiwari D, Upadhyay S and Bahuguna P. 2016. Genetic variability, correlation and path study for quality traits in radish (Raphanus sativus L.). Advances in Life Sciences 5(21): 9760–61.
Nasim A, Ullah F, Iqbal S, Shah S and Azam S M. 2013. Genetic variability and correlation studies for morpho-physiological traits in Brassica napus L. Pakistan Journal of Botany 45: 1229–34.
Noman M D. 2017. ‘Genetic diversity of twenty germplasm of radish (Raphanus sativus L.)’. MSc Thesis, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Panse V G and Sukhatme P V. 1967. Statistical Methods for Agricultural Workers. Indian Council of Agricultural Research (ICAR), New Delhi, India.
Park K W and M Z Kim. 1985. Studies on radish quality II. Differences between cultivars and between different parts of the root. Journal of Korean Society of Horticultural Science 26(3): 226–30.
Pojer E, Mattivi F, Johnson D and Stockley C S. 2013. The case for anthocyanin consumption to promote human health: A review. Comprehensive Reviews in Food Science and Food Safety 12: 483–508. DOI: https://doi.org/10.1111/1541-4337.12024
Rahman M M, Ichiyanagi T, Komiyama T, Hatano Y and Konishi T. 2006. Superoxide radical and peroxynitrite-scavenging activity of anthocyanins: Structure-activity relationship and their synergism. Free Radical Research 40: 993–1002. DOI: https://doi.org/10.1080/10715760600815322
Raihan M S and Jahan N A. 2019. Genetic variability assessment in selected genotypes of radish (Raphanus sativus L.) using morphological markers. Journal of Research and Opinion 6: 2495–501.
Rao R. 1952. Advanced Statistical Methods in Biometrical Research, pp. 357–63. John Wiley and Sons Inc., New York, USA.
Singh D and Singh R. 2012. Path coefficient analysis for seedling vigour in radish (Raphanus sativus L.) genotypes. Horticulture Flora Research Spectrum 1: 339–43.
Singh R K and Chaudhary B D. 1985. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publication, New Delhi.
Sivathanu S, Mohammed Y G and Kumar S R. 2014. Seasonal effect on variability and trait relationship in radish. Research in Environment and Life Sciences 7: 275–78.
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