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Subject: Agricultural Meteorology × Author: Annie, Mangshatabam × Start date: 2019 × Type: Thesis ×
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    ThesisItemOpen Access
    EFFECT OF WEATHER PARAMETERS ON GROWTH AND YIELD OF GREEN GRAM [VIGNA RADIATA (L.)] UNDER THE AGROCLIMATIC CONDITIONS AT JORHAT
    (AAU, Jorhat, 2019-07) Annie, Mangshatabam; Goswami, B.
    A field experiment was carried out during kharif, 2018 at the Instructional-Cum-Research (ICR) Farm of Assam Agricultural University, Jorhat to study crop-weather relationships of Kharif green gram grown under different micro-climatic environments: MR-I: 25thAug, MR-II: 10th Sep and MR-III: 25th Sep with three varieties: SG-16 , SG-20 and IPBM-02-3, following a split plot (in number) design with four replications.Weekly mean maximum and minimum temperatures,morning and evening relative humidities, duration of bright sunshine hours and pan evaporation ranged from 25.6 to 34.5°C , 11.1 to 25.8°C, 89 to 99%, 59 to 83%, 1.3 to 8.2 Hours and 1.3 to 3.4 mm respectively. Rainfall during the crop growth season was found to be nearly evenly distributed, barring few weeks when there was no rainfall. Biometric observations, viz. leaf area index, plant height, total biomass production, no of pod per plant , no of seeds per pod, Test weight and seed yield were recorded periodically. Meteorological variables showed a near normal distribution during the crop growth period. Total accumulated agro-climatic indices showed a gradual decrease in the three successive micro-climatic regimes irrespective of varieties. Early-sown (MR-I) crop took less number of days from sowing to maturity as compared to late sown crop (MR-II & MR-III). Total biomass differed significantly both in varieties and microclimatic regimes in all the crop growth stages. Highest biomass was found in MR-I and the lowest in MR-III. Similarly, leaf area index (LAI) also differed significantly under microclimatic regimes and varieties at 45 DAS and 60 DAS. Most of the agro-climatic indices and meteorological parameters yielded higher correlation coefficients with final yield irrespective of varieties and microclimatic regimes for all growth stages. Highest correlation coefficient of seed yield (0.965) was obtained against accumulated growing degree days (AGDD) corresponding to physiological maturity stage. Among the mean meteorological parameters, the highest correlation coefficients was found in rainfall, DTRF (0.957), corresponding to the Vegetative stages. A few predictive models involving both accumulated indices and mean parameters were also developed combined over both varieties and microclimatic regimes corresponding to some selected crop growth stages. From the stepwise regression analysis, the most efficient model was found for the accumulated bright sunshine hours (ABSH) and accumulated rainfall (ADRF) corresponding to Pod Initiation stage. Among the mean meteorological parameters, the best model was found for the maximum temperature (MAXT) corresponding to the physiological maturity stages. Lower per cent variations (PCV) were indicative of the fact that the predicted models are very effective under agro-climatic conditions of Jorhat.