OAR@ICRISATMapping of quantitative trait loci in pearl millet (Pennisetum glaucum (L.) R. Br.) and relating to the water stress environmentsAKakkeraauthorRBaddamauthorVVadezauthorPearl millet, [Pennisetum glaucum (L.) R. Br.], is commonly grown in the dry environments of north west India, characterised by erratic rainfall that results in highly variable yields. Therefore, identification of plant types to a target environment is a big challenge. In this study, we are interested in traits that help improve yield when the crop is grown under control, mild, moderate and severe water stress based on the mean seasonal rain fall variations (460, 305, 252 and 139 mm in 1988) observed in dry environments of Rajasthan. We used F7 progenies of the RIL cross H 77/833–2 × PRLT 2/89–33. LG 2 was associated with grain yield components i.e. grain mass, grain number of all water stress environments, tiller number (mild water stress) and PHI (severe water stress). Stover yield and flowering time were majorly associated with LG 4 and LG 6 (mild and moderate water stress). QTL interactions revealed that under well-watered conditions, a combination of two H 77/833-2 alleles enhanced yield by 21%. Under mild water stress interaction of two PRLT 2/89–33 alleles, one H 77/833–2 allele enhanced the yield by 29%. Under severe water stress, combination of three PRLT 2/89–33 alleles enhanced yield by 8%, but when this severe stress was interrupted by rain, then interaction of two PRLT 2/89–33 alleles with one H 77/833–2 allele enhanced the yield to 18%. This QTL study and their interactions elucidated the adaptability of lines to design environment-specific ideotypes.Abiotic StressPearl Millet2017-02Conference or Workshop Item

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