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Chaudhary Charan Singh Haryana Agricultural University, Hisar

Chaudhary Charan Singh Haryana Agricultural University popularly known as HAU, is one of Asia's biggest agricultural universities, located at Hisar in the Indian state of Haryana. It is named after India's seventh Prime Minister, Chaudhary Charan Singh. It is a leader in agricultural research in India and contributed significantly to Green Revolution and White Revolution in India in the 1960s and 70s. It has a very large campus and has several research centres throughout the state. It won the Indian Council of Agricultural Research's Award for the Best Institute in 1997. HAU was initially a campus of Punjab Agricultural University, Ludhiana. After the formation of Haryana in 1966, it became an autonomous institution on February 2, 1970 through a Presidential Ordinance, later ratified as Haryana and Punjab Agricultural Universities Act, 1970, passed by the Lok Sabha on March 29, 1970. A. L. Fletcher, the first Vice-Chancellor of the university, was instrumental in its initial growth.

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Subject: Agricultural Meteorology × End date: 2018 × Type: Thesis × Thesis Type: Ph.D ×
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Now showing 1 - 9 of 15
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    ThesisItemOpen Access
    Simulation of wheat (Triticum aestivum L.) growth and yield under different environments
    (CCSHAU, 2018) Nayak, Mukesh Kumar; Raj Singh
    Field experiment entitled “Simulation of wheat (Triticum aestivum L.) growth and yield under different environments” was conducted during Rabi season (2014-15 and 2015-16) at research farm of Department of Agricultural Meteorology, CCS HAU, Hisar (29° 10¢ N, 75° 46¢ E and altitude 215.2 m). The experiment was comprised of four sowing dates main plot treatments namely D1 (5th November), D2 (20th November), D3 (5th December) and D4 (20th December); four irrigation levels sub plot treatments comprising. The experiment was laid out in strip plot design with three replications. Different agrometeorological indices viz. GDD, HTU, PTU and PTI accumulation was significantly higher under D4 (20th December) sowing date at all the phenophases in comparison to the other dates of sowing. The requirement of heat units were more in higher level of irrigation application. Highest PAR and RUE values obtained in D1 (5th Nov.) date of sowing with I4 irrigation as compared to other treatments. The maximum RUE was obtained under D1 (5th Nov.) sown crop with more irrigation level (I4). The highest plant height, dry matter accumulation and LAI was recorded under D1 and I4 irrigation level with maximum CCI at anthesis stage. The yield and yield attributes viz. no. of tillers per clum, length of spike, no. of grains per spike, no. of spikelets per spike, test weight, grain yield, straw yield and biological yield significantly higher under early sowing (D1) with I4 irrigation level. Weather variables showed a positive and negative correlation with yield and yield attributes. Simulation performance of model showed an overestimation with days to anthesis, leaf stem weight at anthesis, physiological maturity while grain yield, straw yield and harvest index showed a over-underestimation of results. Sensitivity of CERES- wheat model showed a gradual decrease in grain yield if there were gradual incremental units like maximum temperature, minimum temperature, solar radiation and CO2 level to normal values.
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    ThesisItemOpen Access
    Modelling growth and yield in wheat under different management practices using remote sensing technique
    (College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1999) Pal, Som; Bishnoi, O. P
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    ThesisItemOpen Access
    Relan, P.S. Application of Geostatistics to Spatial Studies of Pedological Parameters of Haryana Soils
    (College of Agriculture Chaudhary Charan Singh Haryana Agricultural University Hisar, 1999) Anil, Kumar; Kuhad, M. S
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    ThesisItemOpen Access
    Performance of meteorological, remote sensing and dynamic simulation models in wheat under Hisar conditions
    (CCSHAU, 2013) Biswas, Barun; Ram Niwas
    Field experiment entitled “Performance of Meteorological, Remote Sensing and Dynamic Simulation Models in Wheat under Hisar Conditions” was conducted during Rabi season (2010-11 and 2011-12) at research farm of Department of Agricultural Meteorology, CCS HAU, Hisar (29° 10 N, 75° 46 E and altitude 215.2 m). The experiment was comprised of three sowing dates main plot treatments namely (D1)-Early sowing on 5 November, (D2)-Timely sowing on 25 November and (D3)- Late sowing on 15 December; two sub plot treatments comprising two different cultivars viz. (V1)- WH711 and (V2)- DBW17; three sun-sub plot treatments of nitrogen doses viz. (N1)- 75% of the recommended dose, (N2)- 100% of the recommended dose and (N3)- 125% of the recommended dose. The experiment was laid out in split-split plot design with four replications. Different agrometeorological indices viz. GDD, HTU and PAU accumulation was significantly higher under early sowing date at all the phenopases in comparison to the other dates of sowing. The requirement of heat units were more in higher level of nitrogen application. Canopy reflectance of wheat crop was greatly influenced by date of sowing in both visible and infra-red bands. Green and IR reflectance were highest in 5 November sowing and in N1 nitrogen application. Different spectral indices (NDVI, GNDVI, RNDVI, PRI, SR, GVI and RVI) showed significant difference among crop under different growing environments and nitrogen levels. Above indices also indicated better crop growth and biomass production in early sowing and higher nitrogen fertilization. Different growing environment environments had affected wheat grain yield significantly and it was highest in 5 November sown crop. Nitrogen levels had also influenced the grain yield and produced highest grain yield in 125% nitrogen dose. The meteorological, spectral and integrated models developed using principal component analysis explained maximum variability in grain yield up to 98%. The crop parameters estimated by DSSAT model were closer to observed values as compared to the estimations by WOFOST model. However, the prediction made by integrated model was also closer to the actual values observed in the field. But such result was due to the fact that same data was used for prediction.
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    ThesisItemOpen Access
    Studies On The Role Of Weather Parameters In Downy Mildew Incidence In Pearl Millet
    (Chaudhary Charan Singh Haryana Agricultural University;Hisar, 2002) Anil Kumar; Ram Niwas
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    ThesisItemOpen Access
    Quantification Of Micrometeorological Variations In Indian Mustard Under Different Going Environmemts
    (Chaudhary Charan Singh Haryana Agricultural University; Hisar, 2005) Thripathi, Manoj Kumar; Rao, V. U. M.
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    ThesisItemOpen Access
    Impact Of Agrometeorological Parameters On Photosynthetic Rate, Nitrogen Uptake And Yield Of Wheat Under Different Sowing Environments
    (Chaudhary Charan Singh Haryana Agricultural University; Hisar, 2004) Khichar, Madan Lal; Ram Niwas
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    ThesisItemOpen Access
    Thermal Stress Management And Evaluation Of Ceres Model In Wheat Under Late Sown Conditions
    (Chaudhary Charan Singh Haryana Agricultural University; Hisar, 2010) Mani, Jugal Kishor; Singh, Raj
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    ThesisItemOpen Access
    Effect Of Agrometeorological Parameters On Population Of Sucking Pests Of Cotton Under Different Environments
    (College Of Agriculture CCS Haryana Agricultural University : Hisar, 2010) Kumar,Naresh.; Niwas,Ram.