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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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ThesisItem Open Access Evaluation of advanced wheat lines for stripe rust resistance and grain quality(CCSHAU, Hisar, 2019-08) Bhawna; Bhawna; Yadav, Neelam R.; Yadav, Neelam R.Biofortification of staple foods like wheat without any yield penalty is of utmost importance. Advanced lines introgressed with Gpc-B1 allele were used in the study. The Gpc-B1 allele co-segregated with Yr36 yellow rust resistance gene in all the advanced lines. All WH711-derived advanced wheat lines confirmed for the Yr36/Gpc-B1 allele. Seven advanced lines (WL-8-1, WL-8-2, WL-8-3, WL-8-5, WL-8-6, WL-8-7, WL-8-8) were confirmed for Yr18 while six advanced lines (WL-8-1, WL-8-2, WL-8- 6, WL-8-7, WL-8-8, WL-8-9) were positive for Yr17 gene. All five PBW343-derived advanced lines confirmed for the Yr36/Gpc-B1 allele presence. Three advanced lines (PL-8-2, PL-8-3, PL-8-4) displayed the presence of the Yr18 gene. Two advanced lines (Pl-8-3, PL-8-5) confirmed presence of the Yr17 gene. All the advanced wheat lines derived from WH711 as well as from PBW343 displayed very high levels of resistance against yellow rust and better agronomic characteristics than the parents. Positive correlation was observed in yield and yield related traits. The hectoliter weights of PBW343-derived lines indicated their superiority in terms of good flour recovery than PBW343 and comparable to the checks. WH711- and PBW343- derived advanced wheat lines show better gluten quality and high quantity in sedimentation test. Gpc-B1 allele introgression provided high GPC in WH711 derived advanced wheat lines. Iron and zinc contents of both WH711-derived and PBW343-derived advanced wheat lines were at par when compared to either parent and checks, indicating successful bio fortification of both micronutrients. Two of the WH711-derived lines are being further tested in IPPSN/station trials.ThesisItem Open Access ―Phenotypic and molecular characterization of HD 2967 x Kharchia 65 F5 and backcross generations for salt tolerance in wheat (Triticum aestivum L. em. Thell”(CCSHAU, Hisar, 2019-08) Saini, Pooja; Yashveer, ShikhaSoil salinity is emerging environmental stress that reduces rate of germination, delays emergence and affects almost all stages of growth and development of wheat plants which ultimately leads to reduction in grain yield of crop.The present investigation focused on phenotypic and molecular characterization of selected wheat (Triticum aestivum L. em. Thell)genotypes of F5 and backcross (BC1F4, BC2F3, BC3F1) generations derived from HD 2967 X Kharicha 65 for salinity tolerance on the basis of presence of both Nax loci and their agronomic performance at salt stress level 8 dS/m. A total of 92 plants confirmed the presence of Nax1 locus at a band size of 210 bp consisting of 16 F5, 41 BC1F3, 9 BC2F2 and 27 BC3F1, a total of 53 plants confirmed the presence of Nax2 locus at a band size of 225 bp comprising of 6 F5, 35 BC1F4, 8 BC2F3 and 4 BC3F1.Overall, plants comprising of 6 F5,26 BC1F4, and 4 BC3F1 of HD 2967 x Kharchia 65were found to have both the Nax loci. On the basis of phenotypic and genotypic variations, 56 high yielding plants were selected for genotyping using polymorphic SSR markers. A total of 180 SSR primers were used to study the polymorphism between parents HD 2967 and Kharchia 65, out of which 27 SSR primers showed polymorphism. Polymorphism information content (PIC) value in the studied genotyped ranged from 0.191 (xgwm480) to 0.425 (wmc3) with an average value of 0.339. Cluster tree analysis using NTSYS-pc software, F5 and backcross (BC1F4, BC2F3, BC3F1) generations showed that all the selected plants were inclined toward recurrent parent HD 2967 representing higher similarity with HD 2967. From above analysis, high grain yielding and salt tolerant plants were selected such as plant number 259Q3c, 271Q3c (F5); 202P9b, 303P2b and 202P3b (BC1F4); 241R2c and 243R1a (BC2F3); 25(3)1b and 24(1)1c (BC3F1) and these plants could be further backcrossed with the parent HD 2967 to develop salt tolerant wheat lines.ThesisItem Open Access Characterization of wheat germplasm for grain yield, quality traits and functional markers(CCSHAU, Hisar, 2019-08) Verma, Priyanka; Yashveer, ShikhaIn the present study, 98 wheat genotypes were characterized for grain yield, quality traits and functional markers. The wheat genotypes were sown in RBD (Randomized Block Design) design in two replications in the field of Wheat and Barley Section, Department of Genetics and Plant Breeding, CCS Haryana Agricultural University, Hisar, Haryana (India) during Rabi, 2018-2019 for the evaluation of nine yield and its component characters viz. plant height, number of effective tiller per meter, spike length, number of grain per spike, number of spikelet per spike, 1000-grain weight, grain yield per plot, biological yield per plot. The values of GCV were lower than their corresponding PCV for all the characters studied, indicated the negligible effect of environment on the development of plants. The highest value for GCV and PCV was observed on biological yield per plot (18.09 & 19.18 %) followed by harvest index (15.76 & 16.04 %) and number of grains per spike (14.29 & 14.60 %), respectively. Heritability for broad sense (h2) showed highest for harvest index (96.50 %) followed by number of grains per spike (95.90 %) and biological yield per plot (89%). Genetic advance as 5% of mean was observed highest for biological yield (35.17%) and harvest index (31.89%), indicating a good scope for improvement in grain yield and its component characters. Grain yield per plot was highly and significantly positive correlated with number of effective tillers per plot (0.448), spike length (0.551), number of grains per spike (0.611), number of spikelets per spike (0.588), 1000 grain weight (0.585), biological yield per plot (0.805) and harvest index (0.113). Path analysis revealed that biological yield per plot had the maximum direct positive effect on grain yield per plot (0.600) followed by harvest index (0.573), whereas, all traits contributed indirectly towards grain yield per plot via biological yield per plot except plant height (-0202). The grain yield component traits viz. biological yield per plot, harvest index and number of grains per spike were showing high GCV, PCV, heritability and genetic advance as 5% of mean. Thus, these component traits may be used in wheat breeding programme for further improvement in grain yield. For characterization of quality traits, various biochemical attributes were analyzed viz. protein content, mineral (Fe, Zn), phytates, gluten content, amylose content, amylopectin content, hectolitre weight and sedimentation value. Protein content ranged from 9.4 to 15.2 per cent with mean of 12.2 per cent, iron content from 21.3 to 39.3 mg/kg with mean of 29.3 mg/kg, zinc content from.15.7 to 40.70 mg/kg with mean of 29.60 mg/kg, phytates (μg/g) from 4816.0 to 8757.3 (μg/g) with mean of 7008.5 μg/g, wet gluten content from 8.00 to 37.90 per cent with mean of 24.20 per cent, dry gluten content ranged from 3.00 to 14.11 per cent with mean of 10.96 per cent, total soluble sugar content from 0.86 to 6.16 per cent with mean of 3.05 per cent, starch content from 49.8 to 69.4 per cent with mean of 56.7 per cent, amylose content from 3.02 to 8.45 per cent with mean of 5.48 per cent, amylopectin content from 49.36 to 68.97 per cent with mean of 56.17 per cent, hectolitre weight from 72.0 to 87.30 kg/hl with mean of 80.10 kg/hl, sedimentation value from 19 to 41 ml with mean of 31.2 ml. For functional marker analysis, a total of 6 functional markers were used showed amplificationThesisItem Open Access ISSR Markers Based Genetic Diversity Analysis in Kiwifruit (Actinidia deliciosa (A.Chev.) CF Liang et AR Ferguson) Genotypes(CCSHAU, Hisar, 2019-09) Jhilta, Agrim; Kharb, PushpaKiwifruit (Actinidia deliciosa (A. Chev.) CF Liang et AR Ferguson) (2n=6x=174) also known as Chinese goose berry and the horticultural wonder of New Zealand, is a commercially important crop and a very good source of Vitamin C. The present study was undertaken for assessing genetic diversity in Kiwifruit genotypes using ISSR primers and for identification of any probable ISSR marker linked to sex in Kiwifruit genotypes. A total of seven genotypes of Kiwifruit were used that included two male (Tomuri and Allison (M)) genotypes and five female genotypes (Allison, Abbott, Bruno, Hayward, Monty). Genomic DNA was isolated from young leaves of Kiwifruit genotypes. For molecular analysis 104 ISSR primers were screened, out of which 24 ISSR primers amplified and were polymorphic. These were employed for genetic diversity analysis and identification of genotype. Among these polymorphic ISSRs, eight ISSRs were found to identify selected genotypes on the basis of unique amplicons. IS7, IS11, IS93, IS88, IS114, IS107, IS101 and IS79 could identify genotypes . One SSR marker, A 003 reported earlier was also validated. It could identify Allison (M). Similarity matrices of seven kiwifruit genotypes revealed that similarity value among different genotypes ranged from 0.5298 to 0.7094. A maximum similarity value of 0.7094 was observed between Allison (M) and Tomuri whereas Abott and Allison (F) were found to be most diverse. Molecular analysis showed that Allison (M) and Tomuri were much similar. Abbott was found most diverse when compared to other kiwifruit genotypes. The results of present study can be utilized for sex and genotype identification at seedling stage and in kiwifruit improvement programme.