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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 × Start date: 2023 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Study on effect of climate variability on fruit crops in Haryana state
    (CCSHAU, Hisar, 2023-02-14) Khan, Gowhar Bashir; Dagar, C.S.
    The present study entitled “Study on effect of climate variability on fruit crops in Haryana” was conducted inall the districts of Haryana. The objectives of the study were to investigate the spatio-temporal changes in fruit production and to examine the effect of temperature and rainfall on fruit production in Haryana state. Regression equation was used to analyze the temporal variation in the area and productivity of fruit crops (Mango, guava, citrus, ber, grape, aonla and chiku) while Arc-GIS software was used to analyze the spatial variation. Correlation analysis was carried to evaluate the impact of weather characteristics such as rainfall, maximum temperature, and minimum temperature on the yield of fruit crops. In majority of the district of Haryana average annual maximum temperature during second and third decade saw a decreasing trend. While the average annual minimum temperature was saw an increasing trend during second decade in districts Kurukshetra, Mahendragarh, Mewat, Palwal, Panipat and Sirsa. The scenario was similar in third decade except for district Mewat where it decreased by 1 °C. In all the districts of Haryana there was decrease in annual average rainfall in second decade than first decade except in the districts Ambala, Hisar and Jind. During the third decade there was decrease in annual average rainfall than second decade in the districts viz., Ambala, Bhiwani, Charkhi dadri, Fatehabad, Gurgaon, Mewat, Palwal, Panchkula, Rewari and Rohtak whereas Jind, Karnal, Kurukshetra, Mahendragarh, Mewat, Panipat, Sirsa and Yamunanagar observed increase in rainfall. The decreasing temporal trend in productivity was observed for grapes in Hisar and Sirsa, ber in Fatehabad, Jind, Sirsa, and Mewat; guava in Mewat; and aonla in Panchkula, Hisar, Sirsa, and Mewat. Likewise, the temporal trend in area of grapes in Hisar and Sirsa showed a drastic decreasing trend, as did that of ber in Hisar, Gurgaon, Faridabad, Rohtak, and Kaithal, mango in Panchkula, Panipat and Sonipat, guava in Panchkula, chiku in Ambala and aonla in Gurgaon. Fruit crops which showed a decreasing temporal trend in productivity in a particular district were significantly and negatively correlated with one or all of the weather parameters in that district. Similarly, fruit crops which showed an increasing temporal trend in productivity in a particular district were significantly and positively correlated with one or all of the weather parameters in that district.
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    ThesisItemOpen Access
    Analyzing spectro-thermal characteristics and their relationship with yield in mustard
    (CCSHAU, Hisar, 2023-08) Ankit; Anurag
    Field experiment entitled “Analyzing spectro-thermal characteristics and their relationship with yield in mustard” was conducted during rabi season (2022-23) at Department of Agricultural Meteorology, CCS HAU, Hisar located at 29º 10´ N latitude, 75º 46´ E longitude and 215.2 m altitude. The experiment was put in a randomized complete block design and comprised of two irrigation environments viz. irrigated and non-irrigated and three sub plot treatments comprising three varieties viz. V1 (RH 725), V2 (RH 749) and V3 (RH 761) and with four replications. Results revealed that Irrigated crop and RH 749 took a greater number of days to attain physiological maturity in the crop season. Highest GDD, HTU and PTU were recorded in irrigated conditions and RH 749 from seedling emergence to physiological maturity during the crop season. The spectral reflectance in blue, green and red band was observed maximum under non-irrigated conditions except NIR band. All the spectral indices i.e., NDVI, EVI, IPVI, DVI, Green NDVI, MSAVI2, WBI and NDWI were observed maximum in irrigated conditions except GRVI. All the greenness-based indices (Green NDVI, GRVI, DVI, IPVI and NDWI) were significantly correlated with yield during the early stages of crop growth whereas, all the water-based indices (WBI, MSAVI2 and NDWI) were significantly correlated with yield during the later stages of crop. Highest regression coefficient with spectral indices was recorded with yield followed by the crop canopy temperature, leaf area index and dry matter. Higher plant height was recorded in irrigated crop and RH 761 variety during the crop season. Maximum dry matter was observed in irrigated conditions and RH 749 during the crop season. Maximum LAI and chlorophyll content were recorded in irrigated crop and RH 761 and RH 749 respectively, during the crop season. LAI and chlorophyll content increased with the advancement of crop growth stages and reached maximum at 50 % flowering stage and then gradually decreased up to physiological maturity. Test weight, number of siliquae per plant, number of seeds per siliquae, seed yield, straw yield, biological yield and harvest index were observed highest in irrigated conditions during the crop seasons.
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    ThesisItemOpen Access
    Evapotranspiration and yield estimation in Potato Crop using CROPWAT Model in Diverse Growing Environments
    (CCSHAU, Hisar, 2023-05) Azmeena Mehjabin; Surender Singh
    The field study entitled “Evapotranspiration and Yield Estimation in Potato Crop using CROPWAT Model in Diverse Growing Environments” was conducted at University Research farm of the Department of Agricultural Meteorology, CCS HAU, Hisar during rabi 2022-23 season (Lat.: 29° 10 N; Log.: 75° 46 E; Alt.: 215.2 m). The study comprised of four sowing dates i.e., D1 (8th November), D2 (18th November), D3 (28th November) and D4 (8th December) and three different varieties i.e., V1 (Kufri Bahar), V2 (Kufri Pushkar) and V3 (Kufri Lima). The experiment was laid out in split plot design with four replications. With respect to agrometeorological indices, the highest GDD, HTU, PTU, HYTU were accumulated in crop sown on 18th November (D2) and in the variety V3 (Kufri Lima). All growth factors viz., number of tubers produced per plant, tuber yield, haulm yield, dry matter was found highest in D2 among the different dates of sowing and in Kufri Pushkar among the different varieties. Evapotranspiration (ET) worked out through CROPWAT 8.0 was found to be the lesser in D2. At physiological maturity, phenology showed high positive significant correlation with GDD, HTU and PTU. WUE derived from ET and yield was recorded highest in D2 sown crop i.e., on 18th November and the higher number of negative values of the difference between canopy and air temperature in D2 revealed that it felt comparatively lesser stress. WUE showed significant positive correlation with ET and tuber yield. CROPWAT is an effective model for estimation of evapotranspiration. The results obtained from CROPWAT was consistent with the field data, indicating its reliability and accuracy. This ability to accurately estimate evapotranspiration makes CROPWAT a highly valuable and reliable tool for assessing and optimizing water use efficiency in agricultural systems and also predicting productivity and yield of the crop even before the it reaches its maturity phase and start producing the yield; provided we have an idea of the water use efficiency of the crop. Its importance in agricultural water management is shown by its reliable performance and usefulness.