This dataset comprises three Excel (.xlsx) of interrelated field trials conducted at Condobolin, NSW, during the 2024 winter cropping season, focusing on wheat genotype performance under varying agronomic treatments and environmental conditions. The trials include a Nutrition Trial, Seed Size Trial, and a Core Trial, each exploring distinct but complementary aspects of long coleoptile wheat development. Data is structured across multiple sheets detailing experimental design, treatment applications, phenological observations, soil and environmental metrics, and yield outcomes.
Each file contains genotype-specific data across multiple ranges and rows, with treatments involving sowing depths (4 cm and 12 cm), fertilizer placement (with seed or above seed), and seed size (small or large). The Nutrition Trial includes fertilizer rate variations and detailed soil nutrient profiles, while the Seed Size Trial emphasizes seed size effects on emergence, biomass, and grain quality. The Core Trial integrates sowing time comparisons (TOS 1 and TOS 2), coleoptile measurements, and soil temperature logging.
Methodological details include precise sowing dates, herbicide and insecticide applications, NDVI readings, frost tipping scores, and maturity assessments. Soil moisture was measured gravimetrically at multiple depths pre- and post-harvest, and nutrient analyses were conducted on samples from 0–60 cm. Environmental data from Condobolin AWS provides daily temperature and rainfall records, highlighting frost events and dry periods critical to crop development.
The dataset includes over 30 variables such as genotype, sowing depth, seed size, plant counts, dry weight, grain yield, head counts, phenology scores, and grain quality metrics. Codes like “Mace18_4_W_L” or “Calibre_12_A_H” denote genotype, depth, placement, and fertilizer rate. Time-series soil temperature data is recorded at sub-minute intervals, offering high-resolution insights into thermal conditions affecting emergence. This dataset enables robust statistical analysis of genotype performance under frost-prone and moisture-limited conditions without requiring further input from the original researchers.
