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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
    Epidemiology and management of downy mildew of vegetable pea incited by Peronospora viciae f. sp. pisi Sydow Boerema & Verhoeven
    (G. B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand. PIN 263145, 2022-09) Bathula, Jagadeesh; Singh, R. P.
    Downy mildew caused by Peronospora viciae f. sp. pisi (Sydow) Boerema & Verhoeven is a serious foliar disease of vegetable pea. It may cause yield losses up to 55 per cent in susceptible varieties. Seed treatment and foliar fungicides provide an effective means of disease management but when this management strategy combined with sustainable approaches, the disease can be managed successfully. In the present study, efforts were made to investigate the yield loss due to downy mildew, use of chemical and biological seed treatments to reduce seed borne inoculum, cost-effective chemical control through new molecules, effect of sowing, varieties and influence of weather parameters on disease development. Screening of vegetable pea germplasms against downy mildew was also undertaken. Maximum avoidable yield losses due to protection by foliar spray of Cymoxanil 8% + mancozeb 64% were found in Arkel (34.29%), followed by AP-3 (29.44%) on first date of sowing (17th November), while in PSM-3 maximum (23.52%) avoidable yield losses was found at 3rd date of sowing (1st December). Among the fungicides and biological seed treatments under glasshouse conditions, seed treatment with combination of Metalaxyl 35% WS + Bacillus subtilis var. amyloliquefaciens and Metalaxyl 35% WS + Streptomyces lydicus found to be the best with less disease incidence and severity. Seed treatment with Metalaxyl 35% WS and 2 foliar sprays at 15 days interval starting 30 days after sowing by Fluopicolide 4.44% + fosetyl-Al 66.67% WG @ 2000 g ha-1 provided the minimum disease severity (15.78 PDI) and highest yield (52.53 q ha-1) followed by Iprovalicarb 5.5% + propineb 61.25% WP @ 1600 g ha-1 and Famoxadone 16.6% + cymoxanil 22.1% SC @ 500 g ha-1 but, Famoxadone 16.6% + cymoxanil 22.1% SC provided highest net benefit cost ratio (2.22) followed by Cymoxanil 8% + mancozeb 64% WP (2.05). Lesser disease and higher yield were obtained from variety PSM-3 sown on 24th November. The maximum increase in downy mildew was recorded 40 days after sowing, and temperature range of 5.5-22.05°C and 55-96.05% relative humidity along with 7.5 mm rainfall favored the disease development. Disease severity was found to be positively correlated with minimum temperature and rainfall. Out of 89 vegetable pea germplasms screened under natural epiphytotic conditions, PSM-11, PCPGR-6091 and Selection-23 were found to be resistant, while Multi frozen, Pila Lubix, Little Marvel Lincoln, EFL-9, PSM-3, Pant Upahar were found to be moderately resistant to downy mildew.
  • ThesisItemOpen Access
    Development of microbial consortia for f the management of chickpea wilt caused by Fusarium oxysporum.sp. ciceris
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-10) Amirtha Lingam. V; Tewari, A.K.
    Chickpea wilt caused by F. oxysporum f.sp ciceris is one of the most devastating disease of chickpea in India and all over the world, this pathogen can cause yield losses up to 10-94 per cent depending on inoculum and environmental conditions. Use of chemical fungicides could not effectively manage this disease due to its soil borne nature. The pathogen survives in soil up to 6 years in the form of chlamydospores as a source of primary inoculum. Presently, single microbe-based biocontrol strategies are used for plant disease management. Inconsistent performance of single antagonists can be related to limited competition in the soil microbiome. In view of above present study “Development of microbial consortia for the management of chickpea wilt caused by Fusarium oxysporum f. sp. ciceris” was undertaken. During the Rabi season (2017-18), chickpea plants showed wilt symptoms were collected, isolated and identified up to molecular level as Fusarium oxysporum f.sp. ciceris. Fungal and bacterial antagonists (T.asperellum strains Th-14, Th-17, Th-19 and TCMS 36 and P. fluorescens strains Psf-2, and Psf-173) recommended for the management of chickpea wilt pathogen were selected for the consortia study. Antagonists were prepared in 14 different combinations and compatibility was checked by three methods and in all the methods it has been observed that all the consortia combinations were found compatible with each other. Antagonism action of consortia against pathogen was also studied using three different methods. In dual culture (mycoparasitism) study Th14+TCMS36 showed 61 per cent mycelial parasitization. In paired plate technique effect of volatile compounds of Th14+Psf173 showed significant maximum mycelial inhibition (66.67%). In cell free culture method the effect of non- volatile compounds of Th14+Psf173 showed maximum mycelial growth inhibition (74.81%). In glasshouse studies Th17+Psf173 and TCMS36+Psf173 were showed maximum per cent seed germination (96.67 % in each) with minimum pre-emergence mortality (3.33% in each) as compared to control (71.67% & 28.33% respectively) at 07 DAS. At 60 DAS, Th14+Psf173 showed minimum wilt incidence (6.84%) as compared to control (58.25%) and maximum wilt reduction (88.25%) over control and was at par with TCMS36+Psf173 (8.60% & 85.39 % respectively). Th14+Psf173 showed maximum vigor index (4783.17) followed by TCMS36+Psf173 (4505.67) as compared to control (2603). In field experiment pooled data revealed that Th14+Psf173 showed maximum per cent seed germination (84.80%) followed by Th17+Psf173 (83.27%) and TCMS36+Psf173 (82.93%) as compared to control (69.13%). At 120 DAS maximum wilt disease reduction was observed in Th14+Psf173 (88.54%) followed by TCMS36+ Psf173 (84.55%). Maximum mean yield was recorded in Th14+Psf174 (17.30 q/ha) followed by TCMS 36+Psf173 (16.47q/ha) and Th17+Psf173 (15.26 q/ha) as compared to control (8.05 q/ha). Consortia Th14+Psf173 and TCMS36+Psf173 were found significantly better in the induction of defence related enzymes/ compounds (Peroxidase, polyphenol oxidase, Phenylalanine ammonia lyase, Total Phenolic Content, and Superoxide dismutase) against chickpea wilt disease in glasshouse and in field.Population dynamics of antagonists were increased upto 50 DAS and it was maximum in Th14+Psf173 (22.33 & 12.67 ×104 cfu/g respectively) followed byTCMS36 + Psf173 (19.33 & 11.00 ×104 cfu/g respectively). Thereafter, population were declined till the last date of observation (125 DAS Further best performed treatment were confirmed by re isolation and characterized up to molecular level. Based on cultural, morphological, biochemical and molecular characteristics the superior introduced consortia (Th14+Psaf173 and TCMS36+ Psf173) were re-isolated and confirmed that Th14, TCMS36 and Psf173 have similar matching characteristics as of their mother culture. These findings revealed that potential introduced antagonists survived in the rhizosphere of chickpea plant instead of native strains. On the basis of present studies these two consortia could be recommended for the cost effective, ecofriendly management of chickpea wilt disease.
  • ThesisItemOpen Access
    Molecular characterization, epidemiology and management of bacterial blight of soybean (Pseudomonas savastanoi pv. glycinea)
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-10) Kumari Surbhi; Singh, K.P.
    Soybean (Glycine max L. Merill) is one of the oldest and most important oilseed crop grown throughout the world. Bacterial blight of soybean caused by Pseudomonas savastanoi pv glycinea is one of the major constraints in successful cultivation of soybean causing up to 40 per cent yield losses in different areas of world. During the course of field surveys from 2019 to 2021, the disease was found to be prevalent in different districts of Uttarakhand with highest incidence in Udham Singh Nagar, Pithoragarh and Champavat. The bacterial isolates from different regions were found to slightly differ in morphology with round colonies of diameter 1 to 4 mm, white to creamish white in colour, raised and flat elevation with filamentous and entire margins. The bacterial cells were seen as rod-shaped with rounded ends in TEM photographs, with size of 0.84 μm - 1.04 μm x 0.35 - 0.43 μm. On the basis of biochemical tests, the bacterium was characterized as genus Pseudomonas. Specific markers used in the study were found useful in detecting presence of pathogen. Sequence analysis of 21 Psg isolates yielded a similarity of 93.02 to 99.33 per cent with Pseudomonas savastanoi in NCBI. The disease initiation was noticed during last week of July to first week of August. The highest and lowest values of PDI, infection rate and AUDPC were noticed in variety Shilajeet and PK-472, respectively. Highest infection rate was observed from 33 to 36th SMW. The correlation with maximum and minimum temperature and evening RH was found to be negative, while rainfall and sunshine hour show positive correlation with the disease. The multiple regression analysis yielded R2 values of 0.91 to 0.93, indicating greater than 90 per cent involvement of weather factors in affecting variation of disease severity. Minimum temperature and evening RH were found to be the most contributing factor to disease development with the help of step-wise regression. Gompertz and Logistic models were found to predict most accurate values of disease severity. Fifteen genotypes including PS-1092, PS-1611, PS-1024, PS-1042, PS-1241, PK-564, PS-20, PS-22, Alankar, PS1025, Type-49, Bhatt, Shivalik, VLS-59 and SL-688 were found to harbour the Rpg1b gene and also exhibited resistance response to the disease in the field. The random primers used in the study were found useful for study of polymorphism among soybean genotypes. Under in vitro trial a comparable size of inhibition zone was obtained in case of Streptocycline (100 ppm) + Copper oxychloride (100 ppm), Streptocycline (100 ppm) + Copper hydroxide (200 ppm) and Streptocycline alone at 400 ppm whereas, Copper oxychloride was found to provide a similar control at a high concentration of 1600 ppm. Seed treatment with Streptocycline (0.01 %) + Copper oxychloride (0.1% ppm) was found to be most effective. Foliar spray of Streptocycline (0.015 %) provided at par control with combination of Streptocycline and copper fungicides and was found to be most economical.
  • ThesisItemOpen Access
    Epidemiology and molecular characterization of leaf rust resistance genes in wheat
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2022-01) Elangbam Premabati Devi; Singh, K.P.
    Leaf rust, caused by Puccinia triticina Eriks. is one of the most destructive disease of wheat. It is a serious constraint in wheat cultivation of India with great potential to cause yield losses of 50-80 per cent. The most useful and economically effective measure for management of leaf rust is utilization of resistant cultivars. The evolution of new physiological races or pathotypes with time render earlier reported resistant variety to susceptible one which made the management strategies a very challenging task. The breakdown of effective high yielding varieties was reported due to breakdown of Lr9, Lr19, Lr26, Lr28 genes by development of new matching virulence in pathosystems. The present investigations were carried out to identify the promising varieties with durable resistance in field conditions along with the epidemiological studies by referring statistical models and validation of effective Lr genes in wheat varieties by SSR, STS and SCAR markers. The survey of different wheat growing areas resulted that 60 per cent severity with susceptible response were recorded in Pune, Powerkheda, Ludhiana areas while Pantnagar, Faizabad, Kanpur, Mehsana, Junagadh in Gujarat were recorded with less infection of severity ranged from 5 per cent of resistant response to 20 per cent of moderately susceptible response. The result of seedling resistance test in glasshouse condition for 51 varieties has indicated that 18 varieties viz. HP1633, Chakwal86, Gourab, HD2160, HW2021, HW2008, Kharachia Mutant, HP1731, DL784-3, RNB1001, UP2628, UP2526, UP2855, UP2865, UP2572, UP2748, UP2785 and UP2425 were recorded with less infection types so characterized as resistant against 15 pathotypes of leaf rust. Gene postulation of 51 varieties also result that 7 Lr genes viz. Lr1, Lr9, Lr10, Lr13, Lr23, Lr26 and Lr34 were postulated either singly or in combination. Assessment of effective inoculation methods has revealed that spraying of spore suspension at seedling stage and injection of spore suspension at booting stage were statistically highly effective for creating an artificially created epiphytotic condition. Based on multilocation field screening conducted at Pantnagar and Wellington which is a hotspot area for leaf rust, among 51 varieties, 24 and 27 varieties exhibits less than 20 per cent and more than 20 per cent of average coefficient of infection, respectively, so these varieties were considered as resistant and highly susceptible to leaf rust. Linear regression between pooled final rust severity score and pooled area under disease progress curve value has depicted that these two parameters has linearly related with 82 percent with corresponding linear equation as y = 8.267x - 93.70 (R2 0.823) for Pantnagar and 92 per cent with the corresponding linear equation as y = 20.24x - 20.54 (R2 0.92) for Wellington. Positively significant correlation coefficient were obtained with maximum temperature (r ranged from 0.660** to 0.819**) and minimum temperature (r ranged from 0.603** to 0.837**) with disease severity suggesting possible involvement of these temperature in imparting resistant /susceptible against leaf rust. Artificial epiphytotics of leaf rust of wheat were studied in Rabi season during 2014-15, 2015-16 and 2020-21 crop year for developing environmental based prediction models to predict rust a week before the actual appearance of the disease using Logistic, Gompertz, Monomolecular and Exponential models. The Logistic and Gompertz equation best linearlized the disease progress data so identified as the most appropriate and best fitted model. Polymorphism analysis by gene specific marker has confirmed four markers (csLV34 for Lr34, SCS5 for Lr9, Xwmc332 for Lr48 and STS123 for Lr19) exhibits polymorphism while four markers (cfd71 for Lr67, Xwmc313 for Lr28, csGs for Lr68 and Xwmc44 for Lr46) were found to be monomorphic. The dendogram constructed based on markers profile has categorized into two main clusters A and B having 13 varieties each in cluster group with the similarity coefficient of 0.58. Moreover, the distribution of Jaccard similarity coefficient value of all 26 varieties ranged from 0.50 to 0.92. Therefore, those identified resistant varieties both in phenotypic and genotypic level could be employed for the effective management of leaf rust in field conditions.