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@article{167210,
        author = {Niharika Sinha and Dr. Kevin Gavali and Shantanu Dandhare},
        title = {Assessment of Genetic Variability in Tomato (Lycopersicon esculentum M.)},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {662-665},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167210},
        abstract = {To find superior parents to achieve these objective parents during grown the rabi 2022-23. Six parents were obtained and grown at Department of Agril. Botany, College of Agriculture, GHRU Saikheda, Dist, Chhindwara, Madhya Pradesh in randomized block design with two replications. Spacing of 60 X 60 cm2 was kept between row to row and plant to plant and 15 plants were raised in each row. Observations were made in days leading up to 50% flowering, days to 1st flowering, plant height, No. of flower per inflorescence, No. of flower per Cluster, Fruit length, Fruit diameter, Average fruit weight, Total yield per plant and TSS. The results obtained were subjected to statistical analysis. The means square due to parent exhibited significant difference for all the characters. The mean square due to genetic variability significant for all characters studied and mean square due to reciprocal combining ability significant for all characters except fruit diameter and days to 50% flowering. },
        keywords = {Tomato, yield, GCA, PCA)},
        month = {August},
        }