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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Assessment of genetic diversity and G × E interaction in elite genotypes of wheat (Triticum aestivum L.) for zinc and iron content
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-08) Rashmi; Jaiswal, J.P.
    The present investigation were carried out at three locations representing three diverse environments, namely, (i) at N. E. Borlaug Crop Research Centre (NEBCRC), G.B. Pant University of Agriculture and Technology, Pantnagar (2017-18 and 2018-19) and (ii) at G.B. Pant University of Agriculture and Technology Regional Stations, Majhera, Nainital (2018- 2019). The experiment under each environment was laid out in Randamized Block Design with three replications. Genotypes were evaluated for different genetic parameters including variability, stability and diversity. Analysis of variance revealed highly significant differences among the accessions for all the parameters in all environments. The genotypes exhibited high variability for all the nine characters which represent genotypic variability among the genotype for all the characters under study. Under plains condition top three genotypes for grain iron content were PBW 658, HS 526 and DBW 88 and for grain zinc content 22 HRWYT 241, 9 STEMRRSN 41 and AKAW 4739 were most desirable genotypes. Similarly in hilly region the top three genotype for grain iron content were 22 HRWYT 241, 9 STEMRRSN 41 and DBW 88 and for grain zinc content all genotypes show higher mean performance except 22 HRWYT 2413, WL 711 and PBW 644.The pooled analysis of variance of AMMI model for nine different character in three different environments showed that mean sum of squares due to genotypes, environment and G X E interaction were highly significant for all character. Based on ASV, the most stable genotype for grain yield per plot was QLD-46 and BWL-660 ranked the least stable. All the forty nine genotypes were grouped into four clusters and out of four clusters, cluster II contained maximum number of twenty one genotype, followed by cluster IV and I with thirteen and twelve genotypes and cluster III contained minimum number of three genotypes.
  • ThesisItemOpen Access
    Studies on alloplasmic and euplasmic heterosis in Brassica juncea L.
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-11) Rashmi; Ram Bhajan
    The present investigation was aimed to estimate heterosis and combining ability in Ogu alloplasmic hybrids as well as euplasmic hybrids, determine specific cyto-nuclear interactions and influence of ogu cytoplasm on hybrid performance. Experimental material consisted of 30 euplasmic hybrids generated by crossing 10 lines viz. PRL-2008-5, PBR-357, Maya, PRKS-28, Rohini, Sej-2, Vaibhav, EJ-22, PYR-2009-5 and PYR-2009-13 and three testers viz. IC-414317, IC-414322 and PR-2006- 14. Besides, same set of lines converted into ogu CMS background was used to develop 30 alloplasmic hybrids by crossing with three restorers (same set of testers carrying restorer gene). The parents, euplasmic and alloplasmic hybrids were evaluated in Compact Family Block Design with three replications during rabi 2016-17 at N.E.B.C.R.C., G.B. Pant University of Agriculture and Technology, Pantnagar. The data recorded on 13 characters was subjected to combining ability analysis (Kempthorne 1957), heterosis over mid parent as well as better parent (Hayes et al., 1955) and difference of mean values of two set of F1’s to determine extent of biological penalty. ANOVA revealed that mean squares due to families were significant for all characters while within family variance were found non-significant only for siliqua density. ANOVA for line × tester performed separately for both sets showed that treatment variance was significant for all characters in both the sets. Further partitioning of total variance into parents, crosses and parents vs crosses revealed that variance due to parents was significant for all characters except 50 % flowering and days to maturity in euplasmic set; and number of primary branches in alloplasmic set. Partitioning of variances due to crosses into lines, testers and line × tester in both sets showed significance mean squares for most of the characters. Mean squares due to testers were significant for number of primary branches, number of secondary branches, yield per plant and 1000 seed weight in alloplasmic set and for number of secondary branches and yield per plant in euplasmic set. For lines in euplasmic set, characters like plant height, length of main raceme, siliqua length and yield per plant showed significant differences while in alloplasmic set only yield per plant exhibited significant mean square. Variances due to line × tester interactions were significant for all characters in alloplasmic as well as in euplasmic set except siliqua length and number of seeds/siliqua in the latter. Based on desirable GCA effects, PBR-357, PYR-2009-5 and EJ-22 were identified as promising lines in euplasmic set while PBR-357A and PRL-2008-5A were high GCA lines in alloplasmic set for seed yield per plant. Among testers, IC-414317 and it’s A-line were found to be good general combiner in euplasmic and alloplasmic sets. The lines PBR-357, Maya, PR-20 in euplasmic and PBR-357A, PR-20A and RohiniA in alloplasmic set were identified as promising donors for oil content. Among testers IC-414322 was found to be good donor for oil content in both sets. Of these PBR-357, was found to have high GCA for seed yield per plant as well as oil content converged with key components. In euplasmic set, two crosses PBR-357 × PR-2006-14 & PR-20 × PR-2006-14 showed significant SCA for seed yield per plant and oil content. On the same analogy, three crosses MayaA × IC-414317, RohiniA × IC-414317 and EJ-22A × IC-414322 in alloplasmic set manifested significant SCA effects for these end products in desirable direction. The heterosis of high magnitude was manifested by large number of crosses for seed yield per plant in euplasmic as well as alloplasmic sets. Maya × IC-414317 manifested highest heterosis followed by Maya × IC-414322 and PBR-357 × PR-2006-14 in both of the sets while PBR-357 × IC-414322 and PBR-357 × PR-2006-14 for oil content were two promising combinations in both sets, respectively. The results revealed considerable amount of biological penalty which varied with cross combination and the characters. All crosses exhibited biological penalty for one or more characters under study. However, five alloplasmic cross combinations viz. PBR-357A × IC414317, PBR-357A × IC-414322, EJ-22A × IC-414322, PYR-2009-5A × IC414317 and PYR-2009-13A × PR-2006-14 performed better than corresponding euplasmic cross combinations for seed yield per plant indicating a positive cytoplasmic effect i.e. effect of cytoplasm was negated by restorer. Such combinations appear promising for commercial hybrid crop production. In the present study, influence of cyto-nuclear interaction was studied by comparing the estimates of GCA, SCA and manifestation of heterosis in euplasmic vis-à-vis in alloplasmic set of crosses. Comparison of GCA, SCA and heterosis estimates for different characters showed that it may or may not be affected by the cyto-nuclear interactions. There was complete change in the GCA status (Good to Poor or Poor to Good) of different lines for 3 or more characters. For example, PBR-357 exhibited changed GCA status for 9 characters, Maya for five characters; and PR-20 for only three characters i.e. siliquae on main raceme, number of secondary branches and siliqua length. GCA status nine lines were consistent in euplasmic as well as in alloplasmic sets for seed yield and six lines for plant height. Similarly visible influence of cyto-nuclear interaction was observed on SCA and heterosis in large number of crosses for different characters.