DOI: 10.5061/dryad.83bk3jb0r
title: Sorghum phenotypic data in drought and irrigated conditions in Haiti

description: 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% by the end of
 the flowering stage (Figure 1). The latter condition is considered more
 severe due to slight soil salinity in addition to water stress treatment.
 This salinity is approximately 0.6 dS/m. The electrical conductivity was
 measured, using the electrometric method, on the extract of the saturated
 paste.
description: # 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) concentration of
 total soluble solids (oBrix) was measured with an Atago brand
 refractometer graduated from 0 to 33%. This measurement was determined by
 adding a few drops of subsample sorghum juice from each plot onto the
 slide of the refractometer, * (xii) Grain yield (tons/ha) estimated as 85%
 of the panicles weight harvested at grain physiological maturity. This
 dataset named **Chibas_pheno.csv** contains 3000 rows and 16 columns: * In
 the column`genotypes` there are 250 per replicates. * In the column
 `replicates` there are 4 replicates per treatment. * In the column
 `treatment` there are 3 treatments (Irrigated, water stress 1 and water
 stress 2). * In the column `environment` there are 3 environments
 (Irrigated treatment is referred to as environment 1, water stress 1 is
 referred to as environment 2 and water stress 3 is referred to as
 environment 3). * The `12 traits evaluated` are in the columns 5 to 16. *
 `NA` in the cells refers to missing values