Phenotypic Correlation Between Yield and Yield components of Read wheat (Triticum Aestivum L) in Drought Simulated Conditions in Kenya

Establishing the presence and magnitude of x watering regimes interaction and stability of yield under drought simulated conditions would allow plant breeders select the drought tolerant wheat genotypes based on their performance at different rainfall patterns in different locations, not on overall mean yield. Development of drought tolerant wheat varieties in Kenya in an easier, cheaper and more efficient way is required most of it's land area is marginal. Four moisture stress regimes which simulated terminal, early, mid and late drought were created under rain shelter by supplying 70, 82, 94, 106 mm of moisture up to seedling stage, tillering, anthesis and grain filling, respectively. control had 118 mm of moisture applied at all stages. Four test genotypes R748, R830, R831 and R833 were tested together with one check variety, Duma. Yields for each genotype in two seasons were analysed using ANOVA and genotype x watering regimes assessed. Yield stability was also analysed using regression analysis. The result showed that genotype x watering regimes interaction was highly significant, suggesting that genotypes responded differently to increases water levels in each season. This indicated that selecting of drought tolerant genotypes for marginal areas under rain shelter should be based on those rainfall regimes. Yield stability across watering regimes varied among genotypes with Duma and R830 being the most stable cultivars, indicating that they only do well in low water levels. Genotypes R748 and R831 were the most unstable among all the test cultivars. R748 was the most responsive to increasing levels, indicating that it can be grown in low and high rainfall areas. The study showed that selection of stable drought tolerant cultivars using mobile rain shelters is possible