This dataset captures detailed agronomic and phenological data from a 2024 field trial conducted at Yanco, New South Wales, to evaluate the performance of durum wheat genotypes with long coleoptiles under varying sowing depths, sowing times, and Fusarium crown rot (FCR) inoculation treatments. The trial includes three durum wheat varieties—Scepter, Vittaroi, and V190245-6—each subjected to two sowing depths (shallow and deep), two sowing times (early and late), and two FCR treatments (plus and minus inoculation), resulting in a factorial design. The dataset is structured in a single sheet containing 93 entries, each representing a unique plot. Variables include identifiers such as entry number, genotype, treatment combinations, sowing and emergence dates, and positional data (replicate, range, row). Agronomic measurements include plant density (plants/m²), biomass at GS30 (g/m²), plot height (cm), head count per m², and key growth stages (GS51, GS65, GS92) with corresponding calendar and time since sowing. Yield-related metrics include hand and header grain yield (t/ha), total biomass yield (t/ha), harvest index, 1000 grain weight, screenings percentage, test weight (kg/hL), and grain protein content (%). The dataset enables analysis of genotype by environment by management interactions, particularly focusing on the influence of deep sowing and FCR pressure on crop establishment, development, and yield. All variables are consistently labelled, and treatments are encoded using descriptive names (e.g., “Deep Early Scepter”, “Shallow Late Vittaroi”) to facilitate filtering and analysis. The dataset supports statistical modelling and agronomic decision-making for optimizing durum wheat production under variable sowing conditions and disease pressures. Lineage: Field experiment data