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Acharya N G Ranga Agricultural University, Guntur

The Andhra Pradesh Agricultural University (APAU) was established on 12th June 1964 at Hyderabad. The University was formally inaugurated on 20th March 1965 by Late Shri. Lal Bahadur Shastri, the then Hon`ble Prime Minister of India. Another significant milestone was the inauguration of the building programme of the university by Late Smt. Indira Gandhi,the then Hon`ble Prime Minister of India on 23rd June 1966. The University was renamed as Acharya N. G. Ranga Agricultural University on 7th November 1996 in honour and memory of an outstanding parliamentarian Acharya Nayukulu Gogineni Ranga, who rendered remarkable selfless service for the cause of farmers and is regarded as an outstanding educationist, kisan leader and freedom fighter. HISTORICAL MILESTONE Acharya N. G. Ranga Agricultural University (ANGRAU) was established under the name of Andhra Pradesh Agricultural University (APAU) on the 12th of June 1964 through the APAU Act 1963. Later, it was renamed as Acharya N. G. Ranga Agricultural University on the 7th of November, 1996 in honour and memory of the noted Parliamentarian and Kisan Leader, Acharya N. G. Ranga. At the verge of completion of Golden Jubilee Year of the ANGRAU, it has given birth to a new State Agricultural University namely Prof. Jayashankar Telangana State Agricultural University with the bifurcation of the state of Andhra Pradesh as per the Andhra Pradesh Reorganization Act 2014. The ANGRAU at LAM, Guntur is serving the students and the farmers of 13 districts of new State of Andhra Pradesh with renewed interest and dedication. Genesis of ANGRAU in service of the farmers 1926: The Royal Commission emphasized the need for a strong research base for agricultural development in the country... 1949: The Radhakrishnan Commission (1949) on University Education led to the establishment of Rural Universities for the overall development of agriculture and rural life in the country... 1955: First Joint Indo-American Team studied the status and future needs of agricultural education in the country... 1960: Second Joint Indo-American Team (1960) headed by Dr. M. S. Randhawa, the then Vice-President of Indian Council of Agricultural Research recommended specifically the establishment of Farm Universities and spelt out the basic objectives of these Universities as Institutional Autonomy, inclusion of Agriculture, Veterinary / Animal Husbandry and Home Science, Integration of Teaching, Research and Extension... 1963: The Andhra Pradesh Agricultural University (APAU) Act enacted... June 12th 1964: Andhra Pradesh Agricultural University (APAU) was established at Hyderabad with Shri. O. Pulla Reddi, I.C.S. (Retired) was the first founder Vice-Chancellor of the University... June 1964: Re-affilitation of Colleges of Agriculture and Veterinary Science, Hyderabad (estt. in 1961, affiliated to Osmania University), Agricultural College, Bapatla (estt. in 1945, affiliated to Andhra University), Sri Venkateswara Agricultural College, Tirupati and Andhra Veterinary College, Tirupati (estt. in 1961, affiliated to Sri Venkateswara University)... 20th March 1965: Formal inauguration of APAU by Late Shri. Lal Bahadur Shastri, the then Hon`ble Prime Minister of India... 1964-66: The report of the Second National Education Commission headed by Dr. D.S. Kothari, Chairman of the University Grants Commission stressed the need for establishing at least one Agricultural University in each Indian State... 23, June 1966: Inauguration of the Administrative building of the university by Late Smt. Indira Gandhi, the then Hon`ble Prime Minister of India... July, 1966: Transfer of 41 Agricultural Research Stations, functioning under the Department of Agriculture... May, 1967: Transfer of Four Research Stations of the Animal Husbandry Department... 7th November 1996: Renaming of University as Acharya N. G. Ranga Agricultural University in honour and memory of an outstanding parliamentarian Acharya Nayukulu Gogineni Ranga... 15th July 2005: Establishment of Sri Venkateswara Veterinary University (SVVU) bifurcating ANGRAU by Act 18 of 2005... 26th June 2007: Establishment of Andhra Pradesh Horticultural University (APHU) bifurcating ANGRAU by the Act 30 of 2007... 2nd June 2014 As per the Andhra Pradesh Reorganization Act 2014, ANGRAU is now... serving the students and the farmers of 13 districts of new State of Andhra Pradesh with renewed interest and dedication...

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2014 - 20182
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Subject: Genetics and Plant Breeding × Author: PARAMESH, M × End date: 2023 × Type: Thesis ×
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    ThesisItemOpen Access
    GENETIC STUDIES AND IDENTIFICATION OF FAVOURABLE ALLELES IN INBREDS FOR IMPROVEMENT OF SINGLE CROSS HYBRIDS IN MAIZE (Zea mays L.)
    (Acharya N.G. Ranga Agricultural University, 2018) PARAMESH, M; HARIPRASAD REDDY, K
    The present investigation was carried out with 55 single cross hybrids derived by crossing 11 inbreds in half diallel and their 11 parents under normal (Experiment I) and rice fallow situation (Experiment II) for identification of favourable alleles in inbreds and to get information on combining ability and heterosis for yield and yield components, at Sri Venkateswara Agricultural College, Tirupati. Further generation mean analysis (Experiment III) was carried out to assess the gene action for yield and yield components in five selected cross combinations. In experiment I, based on per se performance the parents viz., BML 2, BML 14, CM 119 and BML 51and hybrids viz., BML 7 × BML 15, BML 6 × BML 7, BML 2 × BML 7, BML 7 × CM 119 and BML 7 × BML 14 were identified as the best parents and hybrids, respectively. The studies on identification of favourable alleles (μG') revealed that for first target hybrid DHM 117 (BML 6 × BML 7), the donors BML 15 and BML 2 and for second target hybrid DHM 113 (BML 2 × BML 7), the donors BML 15 and BML 6 showed highest frequency of favourable alleles (μG') to further improve their yield performance. Similarly, for first superior cross BML 7 × BML 15, the donors BML 14 and CM 119; for second superior cross BML 7 × BML 14, the donors BML 15 and BML 2 were showed highest frequency of favourable alleles (μG'). Hence, utilization of the identified donor inbreds with favourable alleles in the recycling or pedigree breeding programmes may improve the performance of the parents of the target hybrids and thereby utilized in enhancement of the hybrid performance. Combining ability analysis results revealed that yield and yield components displayed non-additive gene action in their inheritance and it could be suggested xx that heterosis breeding can profitably be used for exploitation of hybrid vigour in maize on commercial scale. The parents viz., BML 7, BML 51, CM 119 and BML 2 were identified as best general combiners and the hybrids BML 5 × CML 124, BML 51 × BML 5, BML 6 × BML 7 and BML 7 × BML 14 were identified as best specific cross combinations for yield and yield components. Based on the per se performance, combining ability and heterosis the hybrids viz., BML 7 × BML 15, BML 6 × BML 7, BML 2 × BML 7, BML 7 × CM 119 and BML 7 × BML 14 were identified as the best hybrids. Hence, these crosses could be suggested for use in hybrid breeding programmes or further forwarded to advanced generations in order to isolate desirable transgressive segregants. In experiment II, under rice fallow situation, based on per se performance the parents viz., BML 2, BML 14 and BML 6 and the hybrids viz., BML 7 × BML 15, BML 2 × BML 7, BML 7 × BML 14, BML 6 × BML 7 and BML 7 × CM 118 were identified as the best parents and hybrids, respectively. The results on identification of favourable alleles (μG') under rice fallow situation revealed that for first target hybrid DHM 117, the donor inbreds BML 15 and BML 2 and for second target hybrid DHM 113, the donor inbreds BML 15 and BML 14 showed highest frequency of favourable alleles (μG') to further improve their yield performance. Similarly, for first superior cross BML 7 × BML 15, the donors BML 2 and BML 6; for second superior cross BML 7 × BML 14, the donors BML 15 and BML 2 showed highest frequency of favourable alleles (μG'). Based on mean and gca effects, the inbreds BML 2 and BML 15 were identified as the best parents and based on mean and sca effects the hybrids viz., BML 7 × BML 15, BML 2 × BML 7, BML 7 × BML 14 and BML 7 × CM 118 were identified as promising hybrids for yield and yield components. Heterosis studies revealed that the hybrids viz., BML 7 × BML 15 and BML 2 × BML 7 were identified as best hybrids as they exhibited significant standard heterosis. Hence, these hybrids could be exploited in heterosis breeding programme to improve kernel yield in maize under rice fallow situation. Based on the per se performance, combining ability and heterosis the hybrids viz., BML 7 × BML 15, BML 2 × BML 7, BML 7 × BML 14, BML 6 × BML 7 and BML 7 × CM 118 were identified as the best hybrids under rice fallow situation and suggested for best utilization in rice fallow system. For both normal and rice fallow situations the inbreds viz., BML 7, BML 2 and BML 51 were identified as the best parents. The hybrids viz., BML 7 × BML 15, BML 2 × BML 7, BML 7 × BML 14 and BML 6 × BML 7 exhibited good per se performance, combining ability and heterosis estimates for yield and yield components both in normal and rice fallow situations. Hence, these hybrids could be suggested for effective utilization in both normal and rice fallow situations. xxi In experiment III, generation mean analysis for yield and yield components in five crosses viz., BML 7 × BML 15, BML 6 × BML 7, BML 2 × BML 7, BML 7 × CM 119 and BML 7 × BML 14 deciphered the importance of epistatic effects besides the major components viz., additive and dominance gene effects for all the traits in majority of the crosses. Though both additive and non-additive gene actions were significant, non-additive gene actions played predominant role in the inheritance of the traits. Majority of the traits are under the influence of duplicate epistasis besides non-additive type of gene effects for which bi-parental mating or reciprocal recurrent selection may be adopted followed by pedigree method of selection to modify the genetic architecture of maize for attaining higher yield.
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    ThesisItemOpen Access
    STUDIES ON GENETIC DIVERSITY AND GENOTYPE BY TRAIT BIPLOT ANALYSIS FOR YIELD AND DROUGHT RELATED TRAITS IN MUNGBEAN (Vigna radiata (L.) Wilczek)
    (ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY, 2014) PARAMESH, M; MOHAN REDDY, D
    The present investigation was carried out during rabi, 2013-14 at wet land farm, Sri Venkateswara Agricultural College, Tirupati to study variability parameters, genetic divergence and genotype by trait biplot analysis for yield, yield contributing traits and drought related traits among thirty one genotypes of mungbean. The analysis of variance indicated existence of significant genotypic differences for all the traits under study. The genotypes LGG 450, KM 122, GIVT 203, TM 96-2 and MGG 350 showed high mean performance for yield. Similarly, the genotypes WGG 2, MGG 347, EC 396117, MGG 350 and Asha showed better performance for the drought parameters. The genotypes LGG 450 and MGG 350 performed well for both yield and drought tolerance traits. High GCV combined with high heritability was observed for chlorophyll content, whereas moderate GCV with high heritability was observed for plant height, number of pods per plant, 100 seed weight, relative injury, chlorophyll stability index and specific leaf area. Hence, there is less environmental influence on these traits, which provides ample scope for improvement by simple selection procedures. High heritability coupled with high genetic advance as per cent of mean was recorded for number of pods per plant, 100 seed weight, relative injury, chlorophyll stability index and chlorophyll content indicating the preponderance of additive gene action. Simple selection procedures would therefore be more effective for improvement of these characters. Genetic diversity studies indicated the existence of significant diversity among thirty one mungbean genotypes that were grouped into ten clusters. Cluster one was largest with nineteen genotypes followed by cluster II with four genotypes. The clusters III, IV, V, VI, VII, VIII, IX and X were solitary clusters. Cluster I had maximum intra-cluster distance while inter-cluster distance was highest between clusters VII and X followed by cluster III and X, cluster I and X and cluster VI and X. Hybridization between genotypes belonging to different clusters viz., Pusa Vishal x EC 396117 (cluster VII x cluster X), Asha x EC 396117 (cluster III x cluster X), LGG 450 x EC 396117 (cluster I x cluster X), KM 122 x EC 396117 (cluster I x cluster X), MGG 347 x EC 396117 (cluster I x cluster X) and MGG 295 x EC 396117 (cluster VI x cluster X) could be suggested for genetic improvement of yield as well as drought tolerance. Chlorophyll content contributed relatively maximum towards genetic divergence followed by relative injury, days to 50% flowering, days to maturity and seed yield. The genotype-by-trait biplot analysis revealed that the genotypes LGG 450, KM 122, AKM 9904 and TM 96-2 showed superior performance for seed yield as well as yield contributing traits, whereas, the genotypes PUSA 9531, LGG 528, Asha, MGG 347, IPM-02-03, KM-8-657, WGG 2, ML 267, COGG 974, LGG 410 and MH-3-18 showed superior performance for drought related traits. Hence, crosses involving these two categories of genotypes may result in the production of drought tolerant genotypes coupled with high seed yield and yield contributing traits. Genotype-by-trait biplot analysis also revealed that the traits viz., number of pods per plant, number of clusters per plant, days to maturity, plant height, chlorophyll content, specific leaf area, relative injury and chlorophyll stability index were identified as important traits for improvement of yield as well as drought tolerance and these traits would be considered as key components during the selection. The genotype LGG 450 was identified as ideal cultivar as it combines several good traits in its genetic composition and thus could serve as a good parent or combiner when crossed with the other genotypes to derive better cultivars for seed yield and drought tolerance.