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Study of correlation and path coefficients for Indian mustard yield and yield contributing characteristics

International Journal of Advanced Biochemistry Research · 2025 · Vol. 9(4) · pp. 1042–1047

Abstract

The field experiment was carried out during Rabi season of 2022-23 at Agricultural Research Farm, Department of Plant Breeding and Genetics, R.B.S. College, Bichpuri, Agra, Uttar Pradesh. The Variables involved in this study were 30 different genotypes viz. Radhika, Girraj, RH725, RH-761, DRMR-150-35, RH-406, PPM-25, PM-27, RGN-73, Pusha tarak, Kranti, Geeta, Pusha bold, RH-0749, KRISHNA, DRMR-31, NRCHB-101, PUSHA MAHAK, NRCHB-02, CS-60, CS-56, ASHIRWAD, RGN-48, Maga, Pusha vijay, Bhagirathi, Seeta, Pusha jay, Kishan, NRCDR-601, RH-30 of Indian mustard. Thus, in all 30 genotypes were compared in a randomized block design (RBD) with three replications. These genotypes were made available from the DRMR, Bharatpur (Rajsthan). The results correlation and path analysis highlight the importance of traits like siliquae on the main raceme and biological yield in determining mustard yield. Positive and significant correlations with seed yield were observed for biological yield (r = 0.84), siliquae per plant (r = 0.78), and 1000-seed weight (r = 0.72). Path Coefficient with Siliquae on the main raceme exhibited the highest direct effect on seed yield (0.67), followed by biological yield (0.55). Indirect effects, such as those mediated through plant height, emphasized the complex interdependence among traits.

Nitrogen and Sulfur Effects on BrassicaAgricultural Science and FertilizationAgricultural Economics and PracticesYield (engineering)CorrelationPath coefficientPath analysis (statistics)StatisticsMathematicsPath (computing)EconometricsComputer sciencePhysics
Citations
0
FWCI
0.00
field-weighted impact
References
6
Percentile
8%
vs. same field & year
References
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