Genetic association analysis in advance tomato (Solanum lycopersicum L.) lines for horticultural and yield contributing traits
Shubham Sharma, Salesh Kumar Jindal, S. A. H. Patel, Abhishek Sharma, Neena Chawla
Article ID: 4090
Vol 7, Issue 1, 2024
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1191
(Abstract)
Abstract
Twenty-two tomato (Solanum lycopersicum L.) genotypes were examined for correlation and path analysis in the randomized block design under open field conditions. Total fruit yield showed a significant positive correlation with the number of fruits per plant, average fruit weight, lycopene content, and percent seedling survival in the field at both the genotypic and phenotypic levels. A strong correlation between these characters revealed that selection based on these characters would consequently improve the total fruit yield. Path analysis showed that the number of fruits per plant, average fruit weight, percent seedling survival in the nursery, and number of locules per fruit exhibited high positive direct phenotypic effects on total fruit yield, whereas the number of fruits per plant, average fruit weight, percent seedling survival in the field, and pollen viability had very high positive direct genotypic effects. Therefore, to increase the yield, it would be profitable to prioritize these traits in the selection program.
Keywords
correlation; genetic association; path analysis; tomato
References
Khapte PS, Jansirani P. Correlation and path coefficient analysis in tomato (Solanum lycopersicum L.). Electronic Journal of Plant Breeding. 2014; 5: 300-304.
Thamburaj S, Singh N. Text book of Vegetable, Tuber crops and Spices. Indian Council of Agricultural Research, New Delhi; 2015. pp. 10-11.
Islam B, Ivy N, Rasul M, et al. Character Association and Path Analysis Of Exotic Tomato (Solanum Lycopersicum L.) Genotypes. Bangladesh Journal of Plant Breeding and Genetics. 2010; 23(1): 13-18. doi: 10.3329/bjpbg.v23i1.9313
Anonymous. Package of practices for cultivation of vegetables crops. Punjab Agricultural University, Ludhiana; 2020. pp. 33-41.
Sunilkumar MK, Vijeth S, Rathod V, et al. Genetic Associations Analysis in Tomato (Solanum lycopersicum L.) Involving Improved Germplasm Lines for Agronomic and Yield Contributing Traits. International Journal of Current Microbiology and Applied Sciences. 2019; 8(10): 2688-2702. doi: 10.20546/ijcmas.2019.810.310
Sushma K, Saidaiah P, Reddy KR, et al. Correlation and Path Coefficient Analysis in Tomato (Solanum lycopersicum L.). International Journal of Current Microbiology and Applied Sciences. 2020; 9(11): 2569-2575. doi: 10.20546/ijcmas.2020.911.311
Maurya RK, Singh AK, Sai A. Correlation and path analysis in tomato (Solanum lycopersicum L.) for yield and yield contributing traits. Journal of Pharmacognosy and Phytochemistry. 2020; 9(3): 1684-1687. doi: 10.22271/phyto.2020.v9.i3ab.11555
Sharma A, Pandey DrS, Nair DrR. Correlation and path co-efficient analysis for yield and its contributing traits in Tomato (Solanum lycopersicum L.). The Pharma Innovation. 2021; 10(3): 616-622. doi: 10.22271/tpi.2021.v10.i3i.5837
Nevani S, Sridevi O. Correlation and path coefficient analysis in tomato (Solanum lycopersicum L.). Pharma Innovation. 2021; 10: 1522-1525.
Guler M, Adak MS, Ulukan H. Determining relationships among yield and some yield components using path coefficient analysis in chickpea (Cicerarietinum L.). European Journal of Agronomy. 2001; 14: 161-166. doi: 10.1016/S1161-0301(00)00086-1
Kumar K, Sharma D, Singh J, et al. Correlation and Path Coefficient Analysis in Tomato (Solanum lycopersicum L.). International Journal of Current Microbiology and Applied Sciences. 2020; 9(6): 1944-1950. doi: 10.20546/ijcmas.2020.906.240
Namdev SK, Dongre R. Correlation and path analysis in tomato. Reserch Journal of Agricultural Science. 2018; 9: 588-590.
DOI:
https://doi.org/10.24294/th.v7i1.4090
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