Skip to content
Research Article Open access CC BY 4.0

Genetic Variability, Correlation and Path Analysis in F3 and F4 Generation of Bottle Gourd [Lagenaria siceraria (Mol.) Standl.]

Sapana Gurupad Hegde, D. S. Duhan, Sudesh, Nayana K R

Journal of Advances in Biology & Biotechnology · pp. 1028–1041 · Published 26 Jun 2024

10.9734/jabb/2024/v27i71063

Abstract

The bottle gourd is an important summer vegetable in India, but its productivity is hindered by biotic and abiotic stresses, challenging growing conditions and the lack of high-yielding varieties. Therefore, it is essential to understand its genetics to develop high-yielding cultivars. A thorough understanding of genotypic and phenotypic variability, heritability and genetic advance is necessary for a successful crop improvement program. Research conducted during the spring-summer and rainy seasons of 2021–22 at CCS HAU, Hisar, on the F3 and F4 generations of the bottle gourd cross GH-28 × Pusa Santushti, showed variability in various yield and yield-contributing traits. The fruit yield per hectare showed high values for genotypic coefficient of variation, phenotypic coefficient of variation, heritability and genetic advance in both generations, with progeny 4 performing best in yield-related traits fruit length (44.33cm and 41.17cm), average fruit weight (882.00g and 832.67g), number of fruits per vine (7.20 and 6.07) and fruit yield per plot (63.65Kg and 50.37Kg) was superior in both F3 to F4 generations, respectively. The observed changes in genetic variability across generations suggested heterozygosity, which may stabilize once homozygosity is achieved in later generations. Additionally, correlation analysis indicated that number of primary branches (0.778 and 0.904), average fruit weight (0.974 and 0.856), number of fruits per vine (0.995 and 0.682), days to first harvest (-0.624 and -0.784) and days to first female flower opening (-0.926 and -0.661) directly affected fruit yield per hectare in F3 and F4 generations, respectively. Similar traits were shown to influence fruit yield by path analysis studies Thus, selecting for these traits could significantly enhance a breeding program's success.

Bottle gourd heritability progenies segregating generation variability

References (14)

  1. 1 Statistical Methods For Agricultural Workers [DOI]
  2. 2 Intra-Sire Correlations or Regressions of Offspring on Dam as a Method of Estimating Heritability of Characteristics [DOI]
  3. 3 Genetic variation, heritability and path-analysis in landraces of bread wheat from southwestern Iran [DOI]
  4. 4 Genetic variability, heritability and correlation coefficients of grain quality characters in rice (Oryza sativa L.).
  5. 5 Genetic Variability, Heritability and Expected Genetic Advance as Indices for Yield and Yield Components Selection in Cowpea (Vigna unguiculata (L.) Walp
  6. 6 Studies on Genetic Variability, Correlation and Path Coefficient Analysis for Yield and Yield Contributing Traits in Bread Wheat (Triticum aestivum L.) [DOI]
  7. 7 Studies on genetic variability, heritability, genetic advance and correlation in bitter gourd (Momordica charantia L.)
  8. 8 Study on correlation and path analysis of F2 population of cucumber (Cucumis sativus L.) [DOI]
  9. 9 Genetic Analysis in Segregating Generation of Wax Gourd [DOI]
  10. 10 Genetic variability, correlation and path analysis in f4 generation of ridge gourd (Luffa acutangula (Roxb) L.)
  11. 11 Assessment of genetic variability in F4 segregating population of bitter gourd (Momordica charantia L.)
  12. 12 Genetic variability studies in F2 and F3 generations of ridge gourd for yield and yield components [Luffa acutangula (L.) Roxb.] [DOI]
  13. 13 Evaluation of Genetic Diversity of Sesame (Sesamum indicum L.) Genotypes, Using Agro Morphological and Molecular Markers (RAPD) [DOI]
  14. 14 Genetic variability studies in F2 population of cucumber (Cucumis sativus L.).

Cited by 1

Recurrent selection of pumpkin (Cucurbita moschata) genotypes to increase fruit quality

Wilyanne Monique Danôa Bonfim, Maria Auxiliadora Coêlho de Lima, Cristina dos Santos Ribeiro Costa · Euphytica · 2024

Related research

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.