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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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  • ThesisItemOpen Access
    Regional rainfall analysis of Haryana in relation to monsoon teleconnections
    (CCSHAU, Hisar, 2020-11) Abhilash; Surender Singh
    The investigation entitled “Regional rainfall analysis of Haryana in relation to monsoon teleconnections” was carried out for Haryana. The meteorological data of 30 years (1988 - 2017) of different locations in the state was used for this investigation. The mean monsoon season rainfall in the state ranged between 248.1 mm at Sirsa and 957.2 mm at Ambala. All locations showed a general decreasing trend in the rainfall behaviour in recent times. The cumulative contribution of rainfall of July and August was 61 to 70% in monsoon season rainfall at different locations. Monthly mean rainfall ranged between 43.6 and 134.1 mm (June), 81.2 and 340.2 mm (July), 68.8 and 331.2 mm (August) and 54.5 and 175.4 mm (September) at different locations. The cumulative frequency of below normal rainfall during EI Niño episodes was observed maximum at Hisar (83.2%) and most normal rainfall was observed at each Bhiwani (50.0%), Sonipat (50.0%) as well as Ambala (50.0%). The cumulative frequency of above normal rainfall during La Niña episodes was observed maximum at each Sirsa (50%), Hisar (50%), Bhiwani (50.0%) and Narnaul (50.0%), whereas the frequency of above normal rainfall was observed minimum at Ambala (16.6%). During the strongest El Niño year of 2015, most of the locations in the state received deficient monsoon rainfall, whereas, during the strongest La Niña episode of 1988, most of the locations received excess to large excess monsoon rainfall, which is indicative of the influence of strongest El Niño and La Niña on the regional behaviour of monsoon rainfall. The strength of the association between ENSO and monsoon rainfall was found significant for Sirsa, Hisar, Narnaul, Rewari, Karnal, overall western agro-climatic zone of Haryana, as well as all India. But, the strength of the association between monsoon rainfall pattern and NAO was insignificant for all the locations. Monsoon rainfall at all stations showed a negative but significant correlation with Sea Surface Temperature of Nino 3.4 region of the Pacific Ocean. All the regional stations along with both agro-climatic zones, Haryana as well as subdivision showed positive and significant correlation with Southern Oscillation Index, whereas no significant correlation was observed between monsoon rainfall and North Atlantic Oscillation. The influence of monsoon rainfall on bajra productivity for the different districts lying in western Haryana as explained by coefficient of determination (R2) ranges from 7.02 % to 9.6 %, whereas monsoon rainfall influenced bajra productivity of overall Haryana by 8.18 % only. Similarly, the influence of monsoon rainfall on rice productivity for the different districts lying in eastern Haryana ranges from 21.8 % to 48.2 %, whereas monsoon rainfall influenced Rice productivity of overall Haryana by 24.3 % only.
  • ThesisItemOpen Access
    Growth and radiation use efficiency of Basmati rice (Oryza sativa L.) varieties under different transplanting environments
    (CCSHAU, 2016) Abhilash; Dagar, C.S.
    A field experiment was conducted during the kharif season of 2015 at Chaudhary Charan Singh Haryana Agricultural University, Rice Research Station, Kaul, India to study the comparative performance of different scented basmati rice cultivars under different dates of transplanting. The experiment included three dates of transplanting viz. 25 th June, 10 th July and 25 th July, respectively as main plot treatment and four cultivars namely CSR 30, Pusa Basmati 1121, Pusa Basmati 1509 and Haryana Basmati 2 as subplot treatment, resulting in 12 treatment combinations. The experiment was laid out in a split-plot design with four replications. Among different dates of transplanting the plant height and dry matter accumulation were significantly higher at all the growth stages when crop was transplanted on 25 th June as compared to the crop transplanted on 10 th July and 25 th July. Better results in terms of yield and yield attributes such as maximum number of effective tillers, more panicle length and panicle weight, more number of grains per panicle, less number of unfilled spiklets per panicle, higher 1000 grain weight, higher grain and straw yield, more harvest index, more grain length and breadth, L/B ratio and head rice recovery were observed in the early transplanted crop. Higher value of LAI, CGR, RGR and SLA were observed in the early transplanted crop. Maximum number of GDD, HTU and PTU were accumulated when crop was transplanted on 25 th June. Higher RUE and HUE were also observed in early transplanted crop. Among the varieties, CSR 30 consumed highest GDD, HTU and PTU as compared to HB 2, PB 1121 and PB 1509, respectively under different transplanting environments. The PAR utilization efficiency for grain production was highest in HB 2 at the time of harvest. The efficiency of heat utilization was also higher in HB 2 as compared to other varieties at the time of harvest. Panicle length, panicle weight, grains per panicle, 1000 grain weight, grain yield, straw yield, and harvest index were significantly higher than PB 1509 and CSR 30 but were statistically at par with PB 1121. LAI, CGR and SLA showed significantly positive correlation whereas, RGR was negatively correlated with yield and yield attributes. At physiological maturity all agrometeorological indices namely AGDD, AHTU, APTU, RUE and HUE were positively correlated with yield and yield attributes. Multiple regression equations developed for estimation of different yield and yield attributes using weather parameters shows that maximum temperature, sunshine hours, actual vapour pressure and morning relative humidity collectively explain the variability in grain yield, straw yield, up to 94 and 99 percent.,