Correlation and Regression of Weed, ‎Growth and Yield Attributes of Transplanted Pearl Millet (Pennisetum ‎glaucum (L.) R. Br. Emend. Stunz)‎ as Affected by Weed Management Practices

To evaluate the “Correlation and regression of weed, ‎growth and yield attributes of transplanted Pearl millet (Pennisetum ‎glaucum (L.) R. Br. Emend. Stunz)‎ as affected by weed management practices‎”. And the design of the trial was Randomized Complete Block Design (RBD).The field trial was conducted during the Rabi season 2022 at Experimental farm, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu. The experiment consisted of eight different treatments for weed management practices was replicated thrice. The soil type used was silty clay loam. The Pearl millet TNAU cumbu hybrid (CO9) was sown in the nursery and transplanted at 18 DAS and transplanted with a spacing of 45 x 15 cm. The following treatments were applied: T1 - PE of Atrazine 0.5 kg ha-1, T2 - PE of Oxyflurofen 0.250 kg ha-1, T3 - PE of Pendimethalin 0.75 kg ha-1, T4 - T1+ Hand Weeding on 30 DAT, T5 - T2+ Hand Weeding on 30 DAT, T6 - T3+ Hand Weeding on 30 DAT, T7 - Hand Weeding on 20 and 40 DAT and T8 - Unweeded check. Correlation analysis in weed management research assists researchers in assessing the strength and direction of relationships between variables. By understanding these relationships, researchers can gain insights into the factors influencing weed growth and develop focused management strategies. Moreover, correlation and regression studies provide valuable information for decision-making in weed management. The analysis showed positive correlation between grain yield and growth parameters viz., plant height at harvest (r = 0.965), LAI at 45 DAT (r = 0.852), DMP at 45 DAT (r = 0.971) and DMP at harvest (r = 0.973). Grain yield showed positive correlation with yield attributes, WCE and nutrient content viz., Productive tillers (r = 0.987), test weight (r =0.994), stover yield (r = 0.981), Weed Control Efficiency (r = 0.931), nitrogen uptake (r = 0.980), phosphorous uptake (r = 0.979) and potassium uptake (r = 0.962).This information can guide farmers, agronomists, and policymakers in making informed choices regarding management practices, resource allocation, and minimizing the economic and environmental impacts of weeds.