Skip to main navigation menu Skip to main content Skip to site footer

Correlations and path analysis between fruit characters and seeds of Benincasa hispida [(Thunb.) Cogn].

Correlaciones y análisis de sendero entre características del fruto y la semilla de Benincasa hispida [(Thunb.) Cogn.]



How to Cite
Espitia Camacho, M. M., Araméndiz Tatis, H., & Cardona Ayala, C. E. (2021). Correlations and path analysis between fruit characters and seeds of Benincasa hispida [(Thunb.) Cogn]. Sour Topics, 26(1), 36-45. https://doi.org/10.21897/rta.v26i1.2557

Dimensions
PlumX
Miguel M. Espitia Camacho
Hermes Araméndiz Tatis
Carlos E. Cardona Ayala

Correlations and path analysis are important strategies to improve the selection of agronomic traits of commercial interest in various crops. The objective of this work was to estimate the  correlations between 14 biometric characteristics of the fruit and the seed, and the path analysis for the weight of the fruit in B. hispida. 10 families of half siblings were evaluated, in a completely randomized design with five repetitions. Fruit weight showed direct significant phenotypic correlations with pulp thickness, fruit length, fruit width, number of seeds, seed cavity and seed weight, whose coefficients ranged between 0.64 * and 0.91 **, respectively. Seed length showed a significant direct association with the volume of a seed and the weight of a seed, with records of 0.66 * and 0.83 **, respectively. The width of the seed and the volume of a seed showed a correlation of 0.88 **, while the density of a seed presented a significant inverse correlation with the width of the seed and the volume of a seed, with records of -0.73 * and -0.89 **. Indirect effects mainly explained the significant correlation of fruit weight with the variables fruit width, seed cavity, seed weight and number of seeds. The length of the fruit presented the greatest direct and indirect effects on the weight of the fruit. The weight of the fruit and the length of the fruit can be used in the selection of B. hispida to obtain genotypes with greater weight and number of seeds per fruit.


Article visits 574 | PDF visits


Downloads

Download data is not yet available.
  1. Balaguera-López, H.E., Fischer, G., y Magnitskiy, S. 2020. Seed-fruit relationships in fleshy fruit species: Role of hormones. A review. Revista Colombiana de Ciencias Hortícolas. 14(1):90-103. https://doi.org/10.17584/rcch.2020v14i1.10921
  2. Chomicki, G.; Schaefer, H., Renner, S. 2020. Origin and domestication of Cucurbitaceae crops: insights from phylogenies, genomics and archaeology. New Phytologist. 226(5):1240-1255. https://doi.org/10.1111/nph.16015
  3. Cruz, C.D. 2016. Programa Genes V.2014.6.1 - Aplicativo computacional em genética e estatística. Disponible desde internet en http://www.ufv.br/dbg/genes/genes.htm
  4. Ekeke, C., Ogazie, C.A., Agbagwa, I.O. 2019. Anatomical and Phytochemical Studies on Benincasa hispida (Thunb.) Cogn. (Cucurbitaceae). NotulaeScientia Biologicae. 11(1):102-111. https://doi.org/10.15835/nsb11110394.
  5. Espitia-Camacho, M., Villalba-Soto, A., Araméndiz-Tatis, H., Cardona-Ayala, C. 2021. Morphometry, viability and germination of seeds of Benincasa hispida [(Thunb.) Cogn.]. Revista Colombiana de Ciencias Horticolas. 15(1):21-37. https://doi.org/10.17584/rcch.2021v15i1.11724.
  6. Falconer, D.S., Mackay, T. 1996. Introduction to Quantitative Genetics. Fourth edition. Prentice Hall (USA). 464p.
  7. Gupta, P., Chikkala, S., Kundu, P. 2019a. Ash gourd and its applications in the food, pharmacological and biomedical industries. International Journal of Vegetable Science. 27(1):44-53. https://doi.org/10.1080/19315260.2019. 1699222.
  8. Gupta, S., Patel, R., Bhave, M. 2019b. Development of A nutraceutical product using Benincasa hispida. International Journal of Advance Research, Ideas and Innovations in Technology. 5(1):579-582.
  9. Hallauer, A.R., Carena, M.G., Miranda, F.J.B. 1988. Quantitative Genetics in Maize Breeding. Second edition. Iowa State Univ. Press Iowa. p169-184.
  10. Hang-Vu, T.T., Cham-Le, T.T., Hoa-Vu, D., Nguyen, T.T., Pham, T.G. 2019. Correlations and Path Coefficients for Yield Related Traits in Soybean Progenies. Asian J Crop Sci. 11(1):32-39. h t t p s : / / d x . d o i . o r g / 1 0 . 3 9 2 3 / pjbs.2020.425.438.
  11. Lovely, B., Vijayaraghava, K. 2017. Estimates of genetic variability, heritability and genetic advance for yield and yield component traits in ash gourd [Benincasa hispida (Cogn.)] genotypes. Agricultural Science Digest. 37(4):270-274. DOI: 10.18805/ag.D-4676.
  12. Matute, D. R. 2013. The role of founder effects on the evolution of reproductive isolation. Journal of evolutionary biology. 26(11):2299-2311. https://doi.org/10.1111/jeb.12246.
  13. Nagaraju, K., Saraswati, T., Sharma, R., Bommesh, J.C. 2016. Correlation and path analyses among scented and non- scented ash gourd [Benincasa hispida (Thunb.) Cogn.] genotypes. International Journal of Agricultural Sciences. 8(61):3494-3498. Available online at http://www.bioinfopublication.org/ jouarchive.php?opt=&jouid=BPJ0000217
  14. Nansikombi, N., Muyonga, J.H., Byaruhanga, Y.B. 2019. Association between Fruit Characteristics and Postharvest Stability of Different Pumpkin (Cucurbita) Species. Journal of Food Research. 8(4):131-145. https://doi.org10.5539/jfr.v8n4p131
  15. Palencia, G., Mercado, T., Combatt, E. 2006. Estudio agroclimático del departamento de Córdoba. Editorial Caribe.126p.
  16. Pradhan, K., Nandi, A., Rout, S., Tripathy, B. 2020a. Ash gourd - an under exploited potential crop. Dogo Rangsang Research Journal. 10(06):142-151.
  17. Pradhan, K., Nandi, A., Das, S., Sahu, G.S., Rout, S. 2020b. Correlation and Path Analysis of the Yield Contributing Characters of Different Ash Gourd [(Benincasa hispida (Thunb.) Cogn.] Germplasm. Ind. J. Pure App. Biosci. 8(3):248-254. http://dx.doi.org/10.18782/2582- 2845.8130
  18. Pradhan, K., Nandi, A., Das, S., Sahu, G.S., Sarkar, S., Patnaik, A. 2018. Genetic variability and varietal performance in Ash Gourd [Benincasa hispida (Thunb) Cogn.] genotypes. The Bioscan. 13(2):791-794.
  19. Tadkal, R., Beaulah, A., Krishnamoorthy, V., Thangaraj, K. 2019. Evaluation of ash gourd (Benincasa hispida) (Thunb.) (Cogn.) genotypes for growth and yield under pandal system of cultivation. International Journal of Chemical Studies. 7(3):2933-2937.
  20. Tratenmuller, J.W., Péllico-Netto, S., Balbinot, R., Corte, A.P.D., Borella, J. 2019. Path analysis applied to evaluation of biomass estimates in subtropical forests of Brazil. Floresta. 49(3):587-596. http://dx:doi.org/10.5380(rf.v49i3.60782

Sistema OJS 3.4.0.3 - Metabiblioteca |