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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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Institutional PublicationsItem Open Access Human Physiology: Anatomy and Functions(CCSHAU, Hisar, 2016-12-28) Ravikant; Department of Zoology, COBS & HThesisItem Open Access Genome wide association mapping for stem water soluble carbohydrates in bread wheat (Triticum aestivum L.) under terminal water stress(CCSHAU, Hisar, 2020-11-26) Gaur, Arpit; Jindal, YogeshGenomic assisted breeding is one way to improve drought stress tolerance in wheat. To uncover the genomic regions for grain yield, its attributing traits, water soluble carbohydrates (WSCs) and its components mainly fructans, a comprehensive multidisciplinary study was conducted with a diverse set of 302 bread wheat genotypes. All the genotypes were evaluated under complete irrigation, rainfed and complete water stressed condition for two consecutive crop seasons at three locations (Hisar, Karnal and Baramati). The study indicated significant effect of different water regimes and locations on the expression of traits and as much as 80% of yield reduction was reported under DT. Seven promising drought tolerant verities were identified on the basis of drought susceptibility index. In this study, correlation between yield and studied traits largely varied with environmental and water conditions. However, shorter plant height, longer grain filling duration, days to heading, thousand kernel weight (35-40 g) is the most favorable trait combination for obtaining high grain yield under studied conditions. Positive correlation of WSCs with grain yield was reported only for drought tolerant genotypes. High values of all the genetic components were reported for all the traits within environments, however in pooled over management these values ranged between low to moderate for most of the studied traits due to genotype x environment. Traits like plant height, peduncle length, spikelet per spike and thousand kernel weight were least influenced with genotype x environment interaction thus found suitable for selection of grain yield. Substantial genetic diversity was reported in the studied material which was attributed by each of the studied trait equally. With 35K Axiom array and applying compressed mixed linear model, 431 stable SNPs were identified for 20 studied traits in 1288986.92 cM genomic region of bread wheat. These SNPs explained ca. 30-53% of phenotypic variations. Of 431 stable SNPs 77 were showing pleiotropy for various traits. Five SNPs (AX-94583229, AX-94879209, AX-94759517, AX-94887053 and AX-94964616) for fructans and total non-structural carbohydrates, three (AX-94508292, AX-95257620 and AX-94456473) for days to heading and one (AX-94412521) for plant height were most significant. In functional analysis of significant SNPs, 249 genes were identified which were mainly involved in carbohydrate metabolism and repair mechanism. Only few were reported with direct involvement in stress responses. In an in silco study 104 genes (TaFruc) transcribing into stable protein associated with fructans metabolism were identified. All of these were involved in either hydrolase or transferase activities of glycosyl groups of soluble sugars. These genes were found expressive under different stress conditions, mainly water stress. To facilitate the future breeding programs a total of 189 SSR molecular markers and 60 micro RNAs have been predicted successfully for TaFruc genes.OtherItem Open Access Marketing of poly house products in Haryana(CCS HAU, Hisar, 2019) Bhatia, Jitender Kumar; Bishnoi, Dalip Kumar; Malik, D.P.; Agricultural Economics (COA)OtherItem Open Access Economic viability of Kharif crops in Haryana(CCS HAU, Hisar, 2019-06) Pawar, Neeraj; Malik, D. P.; Agricultural Economics (COA)ThesisItem Open Access Effect of biomordants on dyeability of cotton fabric with natural dye(CCS HAU, Hisar, 2020-07) Neeta; Arya, NishaIncreasing concern about environmental pollution in all sphere of life has raised grave concern and heated debates around the world about the concept of ecology and environment. In the present time, commercially viable alternative methods for preparing and finishing cotton substrates based on the use of biomordants have emerged. Keeping in view the current scenario of environmental consciousness, the present study has been planned to assess the effect of biomordant on dyeing efficacy of cotton with natural dye substituting metal based mordant and salts. Standardization of biomordanting process for two biomordants i.e. harad and heena was done on the basis of dye absorption, colour strength and wash fastness rating for different concentrations and treatment conditions. The desized and scoured fabric were pre-treated with selected two biomordants and dyed with selected natural dye. Scanning Electron Microscopic (SEM) analysis of biomordanted fabric samples. SEM analysis demonstrated plain surface of biomordant treated sample. The colour coordinates, colour strength and colour fastness of the biomordant treated dyed samples were assessed. Various mechanical, performance and functional properties of the biomordant treated dyed fabric were also tested. Comparative analysis was also done between scoured fabric treated with biomordants and dyed with natural dye. The parameter optimized for biomordanting process of scoured fabric were pre mordanting stage with 5 and 10 per cent concentration, 1:30 M: L Ratio, 6 and 4 pH, 60° and 80°C treatment temperature and 60 and 45 minutes treatment time for heena and harad, respectively. Both the biomordant treated dyed samples exhibited good (4) to very good (4/5) colour fastness properties. The results revealed that among both the biomordants treated dyed fabrics, heena treated dyed fabric showed maximum increase in bending length (2.39 cm) and heena treated dyed sample showed highest increase in elongation (29.68%), crease recovery angle (113 degree), moisture regain (10 %) and wickability (3.86cm). The heena treated and Babool bark dyed fabric showed the highest UPF value (56.89) indicating excellent protection category while in harad treated dyed fabric UPF value was (48.76). The biomordants treated dyed fabrics showed bacterial resistance against E. coli (93.35%) and S. aureus (88.07%). Thus, it is concluded that biomordants treatment enhanced the dyeing efficacy of the cotton fabric with better colour fastness properties. The biomordant treatment and Babool bark dye improved the mechanical and performance properties of cotton fabric with very good to excellent protection from UV radiation and bacterial attack. Hence, the biomordants are suitable replacement materials for cotton fabric in textile wet processing due to their positive response towards environment and no harmful effect on fabric properties.OtherItem Open Access Technical Programme 2020-21(CCS HAU, Hisar, 2020) Agricultural Economics; College of AgricultureOtherItem Open Access Technical Programme 2019-20(CCS HAU, Hisar, 2019) Agricultural Economics; College of AgricultureOtherItem Open Access Technical Programme 2018-19(CCS HAU, Hisar, 2018) Agricultural Economics; College of AgricultureOtherItem Open Access Technical Programme 2017-18(CCS HAU, Hisar, 2017) Agriculture Economics; College of Agriculture
