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  • ThesisItemOpen Access
    Study of crop-weather relationships and evaluation of CERES-Barley model under different growing environments
    (CCSHAU, Hisar, 2020-09-29) Renu; Anil Kumar
    The field study entitled “Study of crop-weather relationships and evaluation of CERES-Barley model under different growing environments” was conducted in rabi 2019-20 at University Research farm of Department of Agricultural Meteorology, CCS HAU, Hisar (Lat.: 29° 10 N; Log.: 75° 46 E; Alt.: 215.2 m). The study was comprised of four sowing dates as factor (A) namely (D1) -15th November, (D2) – 30th November, (D3) – 15th December and (D4) – 30th December, comprising four different cultivars factor (B) viz. (V1)- BH 393, (V2)-BH 902, (V3)- BH 946 and (V4)-BH 885. The experiment was laid out in factorial RBD design with three replications. With respect to agrometeorological indices highest GDD, HTU, PTU were accumulated in crop sown on 2nd fortnight of December (D4) and in variety BH885 (V4) and highest TUE and RUE were found in crop son on 1st fortnight of November (D1) and in variety highest TUE was found in BH 393(V1) and highest RUE was found in BH 902(V2) as compared to others. Highest IPAR was accumulated in late sown crop (D4) and in variety BH 885, highest chlorophyll content was recorded in early sown crop (D1) and negative value of difference between canopy and air temperature concluded that crop feels no stress upto anthesis stage. The crop growth and phenological observations were found significantly highest in early crop sown on 1st fortnight of November (D1) that resulted in better overall growth and in terms of yield and yield contributing attributes crop sown on 1st fortnight of November (D1) and in variety BH 393(V1) that resulted in better overall grain and biological yield as compared to others. CERES-Barley model evaluation overestimated the days to anthesis and grain yield and underestimated the days to maturity and leaf area index. Lower RMSE in estimation of days to anthesis, physiological maturity and leaf area index revealed that good agreement between actual and predicted model data. The CERES-Barley simulation model has proved to a suitable tool for predicting phenology, maximum LAI and grain yield of Barley crop.