Interactive plant growth regulator and fertilizer application dataset on growth and yield attributes tomato (Solanum lycopersicum L.)
Description
The dataset describes how plant growth regulator (PGR) application reduces the need of excess chemical fertilizer use in tomato cultivation. PGRs like gibberellic acid, salicylic acid and naphthalene acetic acid at 50 ppm besides control (no PGR) and fertilizer inputs from 80% to 110% of the recommended doses along with control (farmers' practice) were applied in interaction following a factorial randomized complete block design. Data were collected on various growth and yield related characters to assess the combined influence of plant growth regulators and fertilizers.
Files
Steps to reproduce
Based on the design and layout of the experiment, data were collected on vegetative growth, flowering and fruiting characters. Plant height, base diameter, number of branches and leaves, individual leaf area and canopy coverage, flowering characters like number of flower clusters and flowers per cluster were taken into account. Moreover, fruiting data like number of fruits per cluster, total number of fruits per plant and individual fruit weight were recorded. Finally, tomato yield per plant were calculated. After methodological arrangement, the dataset were undergone a analysis of variance and significance difference test using R software (version 4.2.2).