Radiation interception and DSSAT validation in cotton (Gossypium hirsutum L.) under different growing environments

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dc.contributor.advisorRam Niwas
dc.contributor.authorSagar Kumar
dc.date.accessioned2016-10-25T11:47:21Z
dc.date.available2016-10-25T11:47:21Z
dc.date.issued2016
dc.description.abstractThe study entitled ‘Radiation interception and DSSAT validation in cotton (Gossypium hirsutum L.) under different growing environments’ was conducted at the research area of the Department of Agricultural meteorology, CCS Haryana Agricultural University, Hisar, during the kharif season of 2015-16. The main plots treatments consisted of three date of sowing (2nd week of May (D1), 3rd week of May (D2) and 1st week of June (D3) and the sub-plots consisted of three varieties (Pancham 541, SP 7121 and RCH 791). The twenty seven treatment combinations were tested in random block design with three replications. The 2nd week of May sown crop consumed highest thermal and radiation indices. Radiation and heat use efficiency were also highest in this growing environment as compared to 3rd week of May and 1st week of June sown crops. Among cotton varieties, RCH 791 consumed highest heat units, heliothermal units and photothermal units as compared to SP 7121 and Pancham 541 under different growing environments. All growth parameters, yield and yield attributes were found highest in 2nd week of May sown crop. The efficiency of PAR utilization for dry matter production was highest in RCH 791 at all phenophases. The efficiency of heat utilization was also more in RCH 791 as compared to SP 7121 and Pancham 541 at all phenophases. Maximum temperature, minimum temperature, relative humidity morning and evening, wind speed and rainfall showed a positive correlation with dry matter, max. LAI, seed cotton, cotton seed, lint, oil, protein, boll/plant and bolls wt. per plant during vegetative phase, whereas morning and evening relative humidity showed negative correlation during reproductive phase. Relative humidity at morning and evening hours at reproductive phase had significantly negative correlations with seed and biological yields, whereas during vegetative phase, it had positive correlation. The slope value of the regression line shows that growing environment of cotton sown on 2nd week of May was highly efficient in utilizing PAR and accumulation heat units for dry matter production. 99 and 93% variability in dry matter production was explained by IPAR and heat unit, respectively. Among yield parameters, Seed cotton, lint and cotton seed were directly and linearly related with IPAR and IPAR explained 84%, 79% and 85% variability in seed cotton, lint and cotton seed production respectively. The model performance was good for all the three cotton cultivars and for all the growing environments for simulation of days to flowering and physiological maturity. Also the model performance was good for all the cultivars and 2nd and 3rd week of May sown crops for seed cotton yield, biomass and max. LAI but simulation was not satisfactory in case of cotton sown on 1st week of June.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/81760
dc.language.isoenen_US
dc.publisherCCSHAUen_US
dc.subAgricultural Meteorology
dc.subjectCotton, Crops, Sowing, Yields, Planting, Environment, Developmental stages, Drying, Dry matter, Biological developmenten_US
dc.these.typeM.Sc
dc.titleRadiation interception and DSSAT validation in cotton (Gossypium hirsutum L.) under different growing environmentsen_US
dc.typeThesisen_US
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