International Journal of Advanced Biochemistry Research

Biochem
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Vol. 8, Issue 3, Part G (2024)

Understanding correlation and path analysis in chickpea under late sown conditions

Author(s): Banoth Srikanth, Shiva Nath, Abhinav Yadav, Suraj Kumar and Sanjeev Kumar Yadav
Abstract: Chickpea (Cicer arietinum L.) is a vital legume crop worldwide, but its productivity is often compromised by late sowing conditions, leading to shorter crop durations and increased susceptibility to stresses. Understanding the interplay among agronomic traits and their association with yield under such conditions is crucial for chickpea improvement. This study investigates genotypic and phenotypic correlations and path analysis of key agronomic traits in chickpeas under late-sown conditions. Data were collected from field experiments comprising 37 chickpea genotypes including 4 checks grown under late sown conditions. Genotypic and phenotypic correlation analysis revealed associations on Seed yield per plant showed a highly significant and positive association with the biological yield per plant, harvest index, seeds per pod, 100 seed weight, pods per plant, and plant height. Path analysis elucidated direct and indirect pathways through which these traits influence yield on seed yield per plant were shown by biological yield followed by harvest index. This study provides valuable insights for chickpea breeding programs, facilitating the development of varieties better adapted to late sowing constraints. An improved understanding of trait interactions and their impact on yield resilience is crucial for enhancing chickpea productivity in the adverse growing environment.
Pages: 595-598  |  201 Views  93 Downloads


International Journal of Advanced Biochemistry Research
How to cite this article:
Banoth Srikanth, Shiva Nath, Abhinav Yadav, Suraj Kumar, Sanjeev Kumar Yadav. Understanding correlation and path analysis in chickpea under late sown conditions. Int J Adv Biochem Res 2024;8(3):595-598. DOI: 10.33545/26174693.2024.v8.i3g.791
International Journal of Advanced Biochemistry Research
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