In the absence of a recommended optimal seed rate and nitrogen-phosphorous (NP) fertilizers application for a specific area, achieving maximum bread wheat productivity becomes challenging. To address this issue, this field experiment was conducted to evaluate the effect of seed and NP fertilizer rates on growth, yield, and yield components of bread wheat ( Triticum aestivum L.). Factorial combinations of four levels of seed rates of bread wheat (100, 120, 150, and 200 kg ha -1 ) and four levels of NP fertilizers rates (64-46, 87-46, 96-69, and 119-69 kg ha(-1) of N and P2O5) were laid down in randomized complete block design with three replications. The remaining necessary agronomic practices and crop management activities were undertaken uniformly. The data presented in this dataset article includes phenological, growth, yield, and yield component parameters that were collected timely following their standard methods and procedures. All the collected data were subjected to analysis of variance (ANOVA) which was carried out using the SAS version 9.0 software computer program's General Linear Model (GLM) procedure [1]. the residuals were evaluated, as described in Montgomery [2], to confirm the normal distribution and homogeneous variance model assumptions on the error terms for each response variable. The independence assumption is upheld due to the randomization of the sixteen (16) treatment combinations within each block. In cases where a treatment effect was found to be significant, a multiple means comparison was conducted at a 5% significance level using Fisher's LSD method to create letter groupings. Additionally, correlation analysis was carried out using the Pearson correlation procedure in SAS. This dataset article provides insights into how seed rate and NP fertilizer rates impact bread wheat productivity, as well as the economic viability of optimal seed rate and NP fertilizer rates on bread wheat productivity. The information presented can serve as a valuable resource for researchers looking to examine the supplementary data and methods in detail, potentially leading to new research avenues. Furthermore, it has the potential to foster collaborations and enhance the credibility of the current research data within the scientific community, making it accessible for wider use. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY -NC license ( http://creativecommons.org/licenses/by-nc/4.0/ )
