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Sorghum phenotypic data in drought and irrigated conditions in Haiti

Charles, Jean Rigaud1

Published Mar 12, 2025 on Dryad. https://doi.org/10.5061/dryad.83bk3jb0r

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Mar 12, 2025 version files 248.26 KB

Abstract

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.