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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 × Author: Madho Singh × End date: 2019 × Start date: 2010 × Thesis Type: Ph.D ×
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    ThesisItemOpen Access
    Spatio-temporal Progression of Yellow Wheat Rust in relation to Weather in NW India
    (CCSHAU, Hisar, 2019-12) Madho Singh; Niwas, Ram
    Field experiment entitled “Spatio-temporal progression of yellow wheat rust in relation to weather in NW India” was conducted during rabi seasons of 2015-16 and 2016- 17 at different locations of NW India, at HAU, Hisar. The first appearance of yellow rust on 9th Jan. (2nd SMW) in Yamuna Nagar during 2015-16 and during 2016-17 the yellow rust was observed on 29th Dec. (52 SMW) in Gurdaspur station.. Disease severity was higher (70%) during rabi 2015-16 as compared to 2016-17 (60%). The maximum temperature, minimum temperature and Vapour pressure deficit were positive significant correlated whereas morning and evening relative humidity were negatively correlated with disease severity of yellow rust and rainfall had non significant correlation with disease severity. The variability in disease severity can be explained from 72 to 96 percent by minimum temperature and maximum relative humidity. The spectral indices viz., NDVI, VI, NRI and NPCI were negatively correlated with disease severity and DWSI and PSRI were positively correlated with disease severity of yellow rust at all the locations.The best fit model based on spectral indices explained the variability in disease severity of yellow rust up to 98 percent by NDVI and DWSI at Jammu, 74 percent at Gurdaspur, 94 percent at Yamuna Nagar, 95 percent at Dhaula Kuan, 97 percent at Ambala, and 92 percent at Karnal, and 99 percent at Hisar, respectively.