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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
    Stability analysis in advanced clones of sugarcane Saccharum spp. complex
    (G. B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand. PIN 263145, 2022-08) Goswami, Riya; Jeena, A. S.
    The present investigation entitled “Stability analysis in advanced clones of sugarcane (Saccharum spp. complex)” was conducted with 18 advanced clones of Sugarcane including three checks viz., CoS 767, CoPant 97222 and Co 05011 to estimate the genotype×environment interaction and stability parameters using Eberhart and Russell model. The experiment was conducted in randomized block design at three different environments viz., Norman E. Borlaug Crop Research Centre of Govind Ballabh Pant University of Agriculture and Technology, Pantnagar (E1), U.P Council of Sugarcane Research, Shahjahanpur (E2) and, PAU Regional Station, Kapurthala (E3). At each environment observations were recorded for fifteen yield and yield contributing traits viz., germination percent, tillers/ha, brix percent at 10 months, purity percent at 10 months, sucrose percent at 10 months, number of millable cane/ha, single cane weight (kg), cane diameter (cm), cane height (m), cane yield (t/ha), CCS yield (t/ha), brix percent at 12 months, sucrose percent at 12 months, purity percent at 12 months and CCS percent at 12 months. Analysis of variance at each environment revealed that genotypes exhibited highly significant differences for all characters under study. Further, the pooled analysis of variance over three environments also exhibited significant differences among genotypes for all the fifteen traits. The estimates of the environmental index showed that E1 was the most favourable environment for nine traits followed by E2 for seven traits and E3 for five traits. Based on the mean performance, CoPant 97222 was registered as the best check for nine traits followed by CoS 767 for six traits. Likewise, among the entries, Co17018 was found superior to best checks for seven traits, followed by CoH 17262 for six traits and CoS 17234 and CoPb 17214 for five traits. The G X E interaction was found significant for all characters except for two traits namely, purity % at 10 months and purity % at 12 months. Based on the estimates of stability parameters as per Eberhart and Russell model, CoPb 17214 was observed as stable genotype for all traits except tillers/ha. Similarly, CoS 17236 and CoH17261 were found stable for fourteen traits except cane yield t/ha. Likewise, among the checks, Co 05011 was found stable for all traits except for cane yield, here this genotype was responsive in favourable environment. Check, CoS 767 was found stable for all traits except for germination percent. Based on the study the clone Co17018 was identified stable for cane yield and sucrose percent at 12 months, along with superiority over all the three checks. Hence, this genotype can be recommended for cultivation over different environments. While, two clones viz., CoS 17234 and Co 05011 were found responsive for cane yield in favourable environment, hence these can be recommended for cultivation under resource rich environment.
  • ThesisItemOpen Access
    Investigation on QTL mapping for BLSB resistance and protein content using wild relatives and introgression lines of maize
    (G. B. Pant University of Agriculture and Technology, Pantnagar, 2022-12) Varalakshmi S.; Singh, N. K.
    The main objectives of the investigation were to identify the genomic regions for BLSB resistance and other traits, to determine protein content and its association with SSR markers in teosinte-derived lines, maize and its wild relatives. The various experiments were conducted from 2019-20 to 2021-22for generation and field evaluation, and laboratory analysis of experimental materials. The characterization of teosinte derived 181 BC1F2 lines showed significant variation for all morphological traits and BLSB disease incidence. Of the 181 plants, 23, 53, 65 and 40 plants were grouped under resistance, moderately resistance, moderately susceptible and susceptible categories based on PDI score. The plants TM-1, TM-11, TM-12, TM-21, TM-28, TM-29, TM-54, TM-55, TM- 67, TM-77, TM-78, TM-85, TM-88, TM-94, TM-96, TM-101, TM-103, TM-113, TM-144, TM-152, TM-159, TM-161, and TM-167 were categorized under resistance group with PDI score of ≤ 33.33.The BC1F2 plants showed significant variability for days to anthesis, days to silking, anthesis - silking interval, flag leaf length, flag leaf width, flag leaf angle, plant height, node bearing primary cob and number of ears per plant. A total of 41QTLs were identified for BLSB resistance and 8 morphological traits based on single marker analysis. Two QTLs for BLSB resistance were mapped on chromosome 3 and 10 associated with markers umc2255 and bnlg1518 and having phenotypic variation of 3.79 and 2.22 per cent, respectively. Of the remaining 39 QTLs, 3 QTLs were for days to anthesis, 2 for days to silking, 5 for anthesis -silking interval, 4 for flag leaf length, 6 for flag leaf width, 4 for plant height, 6 for node bearing primary ear and 9 QTLs were for number of ears per plant. Using inclusive composite interval mapping method, a total of 12 QTLs were identified for BLSB resistance and 7 morphological traits and no QTL identified for node bearing primary ear trait. The QTLs qtlBLSB4.1 and qtlBLSB9.1 were detected on 4 and 9 chromosomes for BLSB resistance determining phenotypic variation of 2.08 and 4.63 per cent, respectively. The QTLs qtlDTA 8.1, qtlDTS7.1, qtlASI4.1, qtlFLL4.1, qtlFLL 4.2, qtlFLW8.1, qtlFLW10.1, qtlFLW10.2, qtlPH 4.1 and QtlEPP3.1 were mapped for various morphological traits across 3, 4, 7, 8 and 10 chromosomes. Highly significant differences for protein content were observed among 126 BC1F2:3 lines which varied from 9.53 to 16.49 per cent for MP51 and MP6 lines, respectively. Four lines (MP6, MP20, MP36, and MP97) had protein content in the range of 16.07- 16.49 per cent. All the BC1F2:3 lines possessed protein content higher than the maize parent CML-451 but lower than the teosinte. Analysis of protein content in 28 accessions of maize, its wild relatives indicates significant variations. Teosinte accessions possessed 2-3 times higher protein than maize lines, Z. mays subsp. mexicana, occupied top position with (26.29 per cent protein) of the 28 accessions. Five markers umc1294, umc1171, phi091, umc2182 and bnlg292 showed significant association with protein content. The investigation indicates great significance of teosinte for the diversification as well as improvement of maize for resistance to BLSB and kernel protein content. Teosinte may also be prospected for improvement of other traits in maize.
  • ThesisItemOpen Access
    Studies on kernel protein and phytic acid in teosinte derived s1 lines of maize (Zea mays l.)
    (G. B. Pant University of Agriculture and Technology, Pantnagar, 2022-09) Adhikari, Shriya; Singh, N. K.
    The investigation was carried out with the aim to transfer gene(s) responsible for high protein content in teosinte into the genetic background of inbred line LM14 which has low phytate content through repeated backcross breeding at Norman E. Borlaug Crop Research Centre and Department of Genetics and Plant Breeding, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, U.S. Nagar, Uttarakhand. The field experiments were conducted during kharif 2019, rabi 2019-20, kharif 2020, rabi 2020-21 and kharif 2021. The experiment was carried out with two populations that had same parents but followed 2 different crossing programs. It is apparent from the results that among the S1 lines of teosinte derived maize population, that there was an increase in mean protein of ~22% in both populations when compared to the recurring parent. The protein content ranged between 12.43% and 19.68% in 2227 {LM14x (LM14//LM14xPT) #F2} and 12.43 and 18.04% in 2228 (LM14//LM14xPT##F2). Of all the 137 lines of both the populations, three lines namely 2227-93, 2227-95, 2227-97 had protein content of around 19% and two lines 2228-60 and 2228-58 had protein content of around 18%. None of the S1 lines exceeded the protein content present in the donor parent teosinte, and the line which had the lowest protein content was still higher than the protein content LM14 in both populations. Investigation on phytic acid and total phosphorus have unequivocally demonstrated that the S1 lines produced in the genetic backgrounds of LM14 have much lower levels of phytic acid along with lower levels of total phosphorus. In the two populations under study S1 lines, 2227-22 (3.072 mg/g), 2227-69 (3.095 mg/g), 2227- 95 (3.059 mg/g), 2228-6 (2.967 mg/g), 2228-64 (2.955 mg/g) and 2228-50 (2.979 mg/g) were statistically comparable to the recurrent parent, while 2227-11(3.952 mg/g), 2227-16 (3.952 mg/g), 2227-27 (3.988 mg/g), 2227-29 (3.926 mg/g), 2227-86 (3.976 mg/g), 2228-18 (3.875 mg/g), 2228-39 (3.847 mg/g), and 2228-48 (3.835 mg/g) were all observed to be notably lower in levels of PA, compared to the parviglumis-teosinte parent. Lines namely 2227- 46 (0.77%), 2227- 67 (0.78%) 2227- 86 (0.82%), 2228-35 (0.78%), 2228-54 (0.77%) and 2228-65 (0.80%) had the highest level of P, and quite on par with that of the parviglumis-teosinte parent. Additionally the recurrent parent had the lowest P, with 2227-95 and 2228-6 being the closest with 0.41% and 0.40 % P. The most promising lines amongst all the teosinte derived S1 lines were analysed and grouped together using ward’s method of minimum variance, viz., 2227-22, 2227-64, 2227-69, 2227-77, 2227-93, 2227-95, and 2227-97 which had a mean protein content of 18.47 % with PA content of 3.1 mg/g and 3 lines from the second population i.e. 2228 had a mean protein content of 16.6% and a PA content of 2.97 mg/g, which were as follows 2228-6, 2228-50 and 2228-64.
  • ThesisItemOpen Access
    Components of variation, correlation and path analysis for seed yield and its contributing characters in soybean [glycine max (l.) merrill]
    (G. B. Pant University of Agriculture and Technology, Pantnagar, 2022-09) Sailani, Alokita; Karnwal, M. K.
    The present investigation was carried out with the objectives to assess the genetic variability, inter- character correlation and the direct and indirect effects on seed yield per plant in advance lines of soybean taken an account of thirteen component characters. The experiment was conducted at Norman E. Borlaug Crop Research Centre, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India, during kharif, 2021. Twenty soybean genotypes including four check varieties (PS 1092, PS 1347, PS 24 and PS 26) grown in a randomized block design with four replications. High significant difference was found among treatment for all the characters under study indicating the presence of sufficient amount of genetic variability among the experimental material. The value of Phenotypic coefficient of variation (PCV) was higher as compared to genotypic coefficient of variation (GCV) as well as environmental coefficient of variation (ECV) for all the character studied. The seed yield per plant reported the highest value of Phenotypic coefficient of variation (33.81 %) as well as genotypic coefficient of variation (31.81 %). Biological yield per plant exhibited maximum heritability (91%). High heritability values were also observed for basal node height, basal pod height, seed yield per plant, hundred seed weight, number of primary branches per plant, harvest index, number of pods per plant, plant height and protein content. The genetic advance varied from 0.11 % (harvest index) to 28.66 % (pod per plant). Genetic advance as per cent of mean (5%), exhibited highest value for seed yield per plant (61.34 %). The majority of the characters under study including number of primary branches per plant, number of pods per plant, basal pod height, basal node height, hundred seed weight, biological yield per plant (g), harvest index (%), and seed yield per plant (g) exhibited high values of heritability along with high estimates of genetic advance as per cent mean. Which showed the presence of additive gene action. In general, Genotypic correlations coefficient (rg) reported greater value than phenotypic correlations coefficient (rp). Directions of phenotypic and genotypic correlations coefficient were almost same for all the character combinations. seed yield per plant showed significant positive phenotypic and genotypic correlation with day to 90 % maturity, primary branch per plant, pod per plant, seed per pod, biological yield per plant, hundred seed weight and harvest index. Yield attributes with positive correlation coefficient can be used as selection criteria to improve the yield. Day to 90% maturity, primary branches per plant, pod per plant, biological yield per plant and harvest index exhibits highly significant positive correlation as well as positive direct effect on seed yield per plant. The positive and significant association of these traits with seed yield per plant and positive direct effect of these traits towards the yield revealed that there is true relationship between these characters and the direct selection for these component traits will bring an improvement in the seed yield per plant, the dependent variable. Hence more emphasis should be given to these traits for improvement of seed yield per plant in soybean through selection programme.
  • ThesisItemOpen Access
    Estimation of gene effects for seed yield, its component traits and inheritance study in Brassica rapa var. yellow sarson
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-08) Bisht, Charu; Birendra Prasad
    Rapeseed-mustard is the second most important edible oilseed crop in India. Yellow Sarson (Brassica rapavar. Yellow Sarson) have best oil quality among the three sub- species of B. rapai.e. Yellow Sarson, Brown Sarson and Toria. The present investigation was thus conducted to find out the inheritance pattern and estimates of gene action for some important characters in Brassica rapa var. Yellow Sarson. The four different crosses namely YSH-0401x Pant Sweta, Pant Sweta x Apetalous, PYS-2017-6 x PPS-1 and NDYS107 x B9 were attempted to study inheritance of flower colour, flower petalous condition, siliqua position and ovary locules respectively. The six generation (P1, P2, F1, F2, and BC1, BC2,) of 4 different crosses viz., was grown during the rabi season of year 2021-2022 at NEBCRC, Pantnagar to generate data for inheritance study. The data of different generation were subjected to chi-square analysis to test the goodness of fit for the appropriate genetic ratios in crosses. The results of study revealed that all four characters were under monogenic control. In case of petal colour the yellow petal colour is dominant over the white petal colour, petalous flower condition is dominant over apetalous condition, upright siliqua orientation was domianat over inverted siliqua orientation, multilocular ovary was dominant overbilocular ovary. For estimation of nature and magnitude of gene action for seed related traits an experiment was carried out at laboratory of Breeder Seed production Centre, G.B. Pant University of Agriculture and Technology Pantnagar, Uttarakhand. The six generation (P1, P2, F1, F2, and BC1, BC2,) of 4 crosses used in experiment first was grown in CRD design in laboratory to generate data for generation mean analysis. Observations were recorded for characters namely germination percent, seedling length (cm), root length (cm), fresh weight (g), dry weight (g), seed vigour index I and II. The results of scaling tests indicated the presence of epistasis in all four crosses. In general duplicate epistasis was found to be more prominent as compared to complementary epistasis for all the studied traits. The presence of duplicate gene interaction indicated that selection should be delayed for later generations till fixation and accumulation of favourable genes. The six generation (P1, P2, F1, F2, and BC1, BC2,) of 4 different crosses used in experiment I and II was grown during the rabi season of year 2020-2021 to generate data for generation mean analysis for seed yield its components and quality traits.Observations were recorded for different traits viz., days to maturity, number of primary branches per plant, height of raceme (cm), number of siliqua per plant, length of siliqua (cm), number of seeds per siliqua, thousand seed weight (g), seed yield per plant (g), protein content (%), oil content (%), erucic acid (%) and glucosinolet content (μmole/g). The results of scaling tests revealed that epstatis was present in all crosses for all characters. Although both additive and non-additive gene action were present in all studied characters but in general the magnitude of dominance was found to be more as compared to additive gene action which indicated the possibility of exploitation of heterosis in these crosses.
  • ThesisItemOpen Access
    Characterization of thermo sensitive genic male sterile lines to explore the hybrid combinations in rice (Oryza sativa L.)
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-08) Singh, Vriksha; Nautiyal, M. K.
    The present investigation entitled “Сhаrасterizаtiоn оf Thermо Sensitive Geniс Mаle Sterile Lines tо exрlоre the Hybrid Соmbinаtiоns in Riсe (Оryzаsаtivа L.)” was taken up, to evaluate the twenty-four TGMS lines for different morphological traits and critical sterility/fertility temperatures. The field experiment conducted with twenty-four TGMS lines, nineteen F1’s and four checks in randomized block design with three replications at the Norman E. Borlaug Crop Research Centre of Govind Ballabh Pant University of Agriculture and Technology, Pantnagar during Kharif 2021. The Analysis of Variance revealed the presence of ample amount of variability in the experimental material for all the characters and found highly significant for all the traits viz.,days to 50% flowering, panicle length, plant height, number of tillers per plant, 1000 grain weight, number of grains per panicle, days to maturity and yield per plant. Among all the nineteen F1’s TGMS-17 x PD-18-2, TGMS-12 x PB-2 and TGMS-24 x PD-24 found good for all the desired traits and can be directly used in breeding programmes. Among the twenty-four TGMS lines the minimum critical temperature for fertility was observed in TGMS-5-1, TGMS-7, TGMS-11 and TGMS-16, these lines can be used in hybrid development. Therefore, in Pantnagar situation to get complete sterility these lines should be sown in first fortnight of May. Based on standard heterosis TGMS-17 x PD-18-2 found good for number of tillers per plant and TGMS-24 x PD-24 for 1000 grain weight and yield per plant. These crosses may be suggested for straight use in hybrid breeding. The results of morphological and floral characterization studies showed that TGMS lines viz.,TGMS-11 and TGMS-12, TGMS-12-10-1, TGMS-12-25, TGMS-16-1 and TGMS-24-1 had good desirable traits like ratooning ability, grain type and panicle exsertion for the better extent of outcrossing ability. These lines can be utilized for two-line hybrid rice breeding programme for high heterotic expression and superior yield.
  • ThesisItemOpen Access
    Studies on genetic variability and diversity in forage sorghum [Sorghum bicolor (L.) Moench]
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-08) Thapliyal, Vinod; Pandey, P. K.
    The present investigation “Studies on Genetic Variability and Diversity in Forage Sorghum [Sorghum bicolor (L.) Moench]” was carried out with 22 test entries and 2 check at the Instructional Dairy Farm, Nagla of Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand during Kharif season, 2021. The experiment was laid out in Randomized Block Design with 3 replications. Observations were recorded for 11 quantitative and 3 quality traits viz., days to 50% flowering, plant height, number of leaves per plant, leaf length, leaf breadth, leaf area, stem girth, leaf stem ratio, shoot fly dead heart %, TSS, HCN content, protein content, dry fodder yield and green fodder yield with key objective to assess the genetic variability parameters, correlation among various traits and their direct and indirect effects on green fodder yield and genetic diversity The analysis of variance revealed highly significant differences among all the 24 genotypes for all the 14 traits under study. High GCV and PCV were found for traits namely, HCN content, shoot fly dead heart %, leaf stem ratio, TSS, dry fodder yield, green fodder yield and stem girth. High heritability accompanied by high genetic advance for traits viz., number of leaves per plant, stem girth, leaf stem ratio, shoot fly dead heart %, TSS, HCN content, protein content, dry fodder yield and green fodder yield indicating additive gene action. Analysis of correlation coefficient revealed the highly significant and positive correlation, at both genotypic and phenotypic level, of green fodder yield with plant height, number of leaves per plant, leaf length, leaf breadth, leaf area, stem girth, leaf stem ratio, TSS and dry fodder yield. Path coefficient analysis disclosed that dry fodder yield had maximum positive direct effect on green fodder yield followed by stem girth, TSS, leaf stem ratio, plant height, HCN content, protein content, leaf breadth, number of leaves per plant, shoot fly dead heart % and days to 50% flowering while leaf length and leaf area exhibited negative direct on green fodder yield. High positive indirect effect on green fodder yield was exhibited mainly via dry fodder yield, TSS and stem girth. The genetic diversity of 24 genotypes, which were divided into seven clusters, was evaluated using Mahalanobis D2 statistics. Cluster IV was found to have maximum number of genotypes followed by cluster I and V. Highest inter-cluster distance was recorded between cluster IV and cluster V. It was found that dry fodder yield contributed maximum towards genetic diversity followed by green fodder yield. Based on per se performance of genotypes, it was found that PC 21-1158 and PC 21-1227 were found superior over best check Pant chari-5 for both green as well as dry fodder yield along with low HCN content. Hence, they can be used in further breeding programme for crop improvement.
  • ThesisItemOpen Access
    Genetic diversity and stability analysis for heat stress tolerance in wheat (Triticum species
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-09) Akhouri, Ayush; Jaiswal, J.P.
    The present study was conducted with an objective to assess one hundred wheat genotypes for genetic diversity and stability for heat stress tolerance over three different sowing dates i.e., 4.12.2021 (E1), 14.12.2021 (E2), and 25.12.2021 (E3) at the Norman. E. Borlaug Crop Research Centre and Pantnagar Centre for Plant Genetic Resource, G.B. Pant University of Agriculture & Technology, Pantnagar, Uttarakhand during Rabi season of 2021-2022. The experiments were conducted using one hundred wheat genotypes and four checks viz., UP 2855, HD 3086, UP 2844 and HD 3059 in Augmented Block Design. The characters under the study were days to 75% heading, days to 75% anthesis, days to maturity, flag leaf area, number of tillers per meter, plant height, peduncle length, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, thousand-grain weight, grain filling duration, biological yield, grain yield and harvest index, Canopy Temperature Depression (CTDI, II and III)and Normalized Difference Vegetation Index (NDVI I,II, III). Readings forCTD and NDVI were taken at 3 stages of crop growth, namely, at heading, anthesis and 15 days after anthesis. The results from genetic diversity analysis revealed that the genotypes were grouped into 6 clusters for E1, E2, and E3. Cluster II comprised of maximum number of genotypes in E1 i.e., 23, whereas, in case of E2, Cluster V contained maximum number of genotypes, consisting of 24 genotypes, while for E3, Cluster IV comprised of maximum number of genotypes i.e., 22. The maximum inter-cluster distance was recorded between cluster IV and cluster V (8.30) in E1; between cluster IV and Cluster VI (7.70) in E2, while cluster I and Cluster IV (7.77) had the maximum inter-cluster distance in E3. Using the genotypes from clusters having high inter-cluster distance to perform crosses may be useful for obtaining better heterosis in the progeny for different economic traits and also for isolation of transgressive segregants in wheat improvement program.The pooled analysis of variance of the AMMI model revealed that the mean sum of squares due to G x E interaction was highly significant for all the characters under study. Based on the AMMI stability value, the most stable genotypes were identified for each character under study, namely, KACHU// WBLL1*2/BRAMBLING*2/6/BECARD#1/5/KIRITATI/4/2*SERI.1B*2/3/KAUZ*2 /BOW// KAUZ for grain weight per spike, MERCATO//PARUS/PASTOR *2/3/ONIX/KBIRDfor grain filling duration (GFD), KACHU/DANPHE/3/ KACHU//KIRITATI/2*TRCHfor 1000 grain weight and ABLEU*2/BORL14 for grain yield per se. Among all the genotypes under study SUP152*2/ BECARD// KACHU/ DANPHE,KACHU//WBLL1*2/BRAMBLING*2/6/BECARD#1/5/KIR ITATI/4/2*SERI.1B*2/3/ KAUZ*2/ BOW//KAUZ, KACHU/ DANPHE/3/KACHU//KIRITATI/2*TRCH, and ABLEU *2/BORL14were found to be the most promising wheat genotypes suitable for the heat stress tolerance.
  • ThesisItemOpen Access
    Comparative study of parametric and non-parametric methods for stability and simultaneous selection for grain yield in finger millet [Eleusine coracana (L.) Gaertn.]
    (G.B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand. PIN - 263145, 2022-07) Rohit; Jeena, A. S.
    The present investigation entitled “Comparative study of parametric and non-parametric methods for stability and simultaneous selection for grain yield in finger millet [Eleusine coracana (L.) Gaertn.]” was conducted with fifty-three germplasm accessions, that were collected from various districts of Uttarakhand, along with seven standard checks viz., VL-347, VL-149, VL-324, VL-325, VL-352, VL-315 and PRM-1. The experiment was laid in four environments, consisting of two locations, Pantnagar and Majhera over the period of two years, 2019 and 2020 during kharif season. In each trial the experiment was laid in Randomized Complete Block Design, with three replications. The data were recorded for fourteen quantitative traits. Analysis of variance (ANOVA) for each of the four environments, revealed highly significant differences among genotypes for all the fourteen quantitative traits. Likewise, at each location (Pantnagar and Majhera), the pooled analysis of variance over 2019 and 2020 seasons, also exhibited significant differences among finger millet genotypes for all the 14 traits. At Pantnagar, high heritability coupled with high GAM, exhibited in six traits viz., days to 50 % flowering, thousand grain weight, grain yield per plot, biological yield per plot, finger length and ear head length. Likewise, at Majhera, five traits viz., ear head length, finger length, grain yield per plot, finger width, biological yield per plot revealed high heritability plus high GAM, indicating prominence of additive gene effects with good predictive gains after selection for these traits. The correlation between fourteen quantitative traits evaluated in two different locations revealed that five trait pairs viz., number of fingers on main ear with grain yield per plot, number of fingers on main ear with 1000 grain weight, finger width with finger length, flag leaf blade width with plant height and days to maturity with plant height exhibited shift in inter-relationships between locations. Therefore, the inter-relationships of these traits are less reliable for selection or improvement program of finger miller at hill and plain zones. On the basis of mean performance GP2016-14 was identified as common superior genotype at Majhera and Pantnagar for grain yield per plot and biological yield per plot. Huehn’s non-parametric measures, S1, S2, S3 and S6 revealed that GP2018- 1615, GP2019-1704, GP2019-2067 and VL-352 were stable genotypes, among top fifteen ranked genotypes in each of the four parameters for grain yield per plot. Similarly, as per Thennarasu’s non-parametric stability methods i.e., N1, N2, N3 and N4, GP2018-1615, GP2019-1800, GP2019-1704, GP2019-1683 and GP2019-1912 were the common genotypes over all the four of these that placed in among the top 15 rank list for grain yield per plot. The rank-correlation values of Ecovalence (W2) and Shukla’s variance (σ2), was perfect (1.00), for all the traits, hence these showed complete congruence. Genotypes, GP2018-1649, GP2018-1619, GP2016-14, GP2019-1908 and GP2018-1613, were found stable genotypes as per superiority index, (Pi) over all the four-yield related positive traits. Rank correlation for grain yield per plot revealed significant positive association between ranks of pooled mean, superiority index, S6 and S3. Genotypes, VL- 352, GP2019-2068 and GP2019-2067 were found best for high mean and stability over all stability parameters for grain yield per plot. Based on Eberhart and Russel stability analysis over all the four traits revealed that only three genotypes namely GP2019-1912, GP2019-1918 and GP2019-1921 were found stable across all environments for all the four traits studied. Among all the parametric and non-parametric stability methods, superiority index (Pi) was found the most suitable for selection of dynamic stable genotypes of finger millet. Next to it Huehn’s non-parametric stability estimate, S6 can also be used for the same. One of any, Thennarasu’s non-parametric stability measures, N2, N3, or N4 can be used to choose only stable genotypes that retain their yield across all environments. Eberhart and Russel model, provides the maximum information for stable and responsive genotypes with respect to the environments