Sorghum phenotypic data in drought and irrigated conditions in Haiti

These data have been collected in order to assess the predictive ability of genomic prediction models across varying environmental conditions in Haiti, employing two statistical methods. Our assessment encompassed twelve distinct sorghum traits, with genomic predictions conducted both within and across irrigated and water-stress treatments (water stress and water stress 2). The irrigated condition was watered weekly throughout the growing season, and the soil moisture content one week after planting was 77%, with the moisture content never dropping below 50% during the growing season. For water stress 1, plots relied on residual soil moisture and experienced an increase in soil moisture content to 76% due to rainfall during the hard dough stage. A 5 m buffer area separated irrigated and water stress 1 blocks, which also served as a border. For water stress 2, plots were also grown on residual soil moisture. Soil moisture content stood at 74% one week after planting and decreased to 17% ..., , , # Phenotypic data using in the paper Genomic Prediction of Sweet Sorghum Agronomic Performance under Drought and Irrigated Environments in Haiti (Charles et al. 2024)

250 genotypes were evaluated under drought and irrigated conditions following a split plot design for twelve growth, developmental, and yield-related traits:

* (i) Plant height (cm),
* (ii) Stem diameter (mm),
* (iii) Heading date (days from sowing to anthesis),
* (iv) maturity date (The date on which 80% of the plants in a plot reach maturity),
* (v) Number of leaves (Total leaf number),
* (vi) Number of green leaves (total_green_leaf),
* (vii) Number of stems (total_stem_number),
* (viii) Stem weight (leaf blade plus sheath) measured by weighing (kg/ha) the stems with and without leaves using a digital scale,
* (ix) Leaf weight (kg/ha) obtained as the difference between stem weight with leaf and without leaf,
* (x) volume of extracted juice was measured using a graduated cylinder,
* (xi) concentra...