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Chaudhary Sarwan Kumar Himachal Pradesh Agriculture University, Palampur

Himachal Pradesh Krishi Vishvavidyalaya (renamed as Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya in June, 2001) was established on 1st November, 1978.The College of Agriculture (established in May, 1966) formed the nucleus of the new farm University. It is ICAR accredited and ISO 9001:2015 certified institution. The Indian Council of Agricultural Research has ranked this University at eleventh place among all farm universities of the country. The University has been given the mandate for making provision for imparting education in agriculture and other allied branches of learning, furthering the advancement of learning and prosecution of research and undertaking extension of such sciences, especially to the rural people of Himachal Pradesh. Over the years, this University has contributed significantly in transforming the farm scenario of Himachal Pradesh. It has developed human resources, varieties and technologies and transferred these to farming community enabling the State to receive the “Krishikarman award” of Govt. of India four times in row for food grain production among small states of the country. Today, the State has earned its name for hill agricultural diversification and the farming community has imposed its faith in the University.

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Author: Aparajita × End date: 2018 × Start date: 2018 ×
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    ThesisItemOpen Access
    G×E INTERACTION, AMMI BIPLOT AND DIVERSITY ANALYSIS OF DIFFERENT BASMATI RICE GENOTYPES IN HILL ZONE
    (CSKHPKV, Palampur, 2018-07-24) Aparajita; Sarial, Ashok Kumar
    The present investigation entitled ‘G×E interaction, AMMI biplot and diversity analysis of different basmati rice genotypes in hill zone’ was conducted at five locations RWRC, Malan; KVK, Sundernagar; KVK, Una; HAREC, Dhaulakuan and CSKHPKV, Palampur. Thirty genotypes comprising of 9 basmati, 16 basmati type advance breeding line and 5 non-basmati were grown in RBD in three replications. Data were recorded for 16 traits. Analysis of variance revealed significant differences amongst genotypes and among locations. Almost all genotypes flowered and matured early in Dhaulakuan followed by Sundernagar. Hasansarai was the earliest to flowering in Una and Palampur; HPR 2749 in Dhaulakuan; HPR 2880 in Malan and HPR 2763 in Sundernagar. Pusa-1121 gave maximum grain yield followed by Basmati-370 at Dhaulakuan; HPR 2323 at Una; HPR 2763 and HPR 2747 at Palampur; HPR 2855 and HPR 2862 at Malan whereas HPR 2864 and HPR 2795 at Sundernagar. Pusa-1121 had significantly more number of tillers per plant in all locations. Percent spikelet fertility was more for HPR 2862 at Dhaulakuan, HPR 2861 and HPR 2863 at Una, HPR 2862 and HPR 2864 at Palampur, HPR 2863 at Malan and T-23 at Sundernagar. Hulling, milling & HRR were higher at Dhaulakuan than other locations. Among test environment Dhaulakuan was found to be favourable followed by Una and Sundernagar while Malan and Palampur were unfavourable. The GEI was analysed using Eberhart and Russel (1966) and AMMI (1988) model. The mean sum of squares due to G×E were significant for 11 of the 16 traits only viz; days to 50% flowering, days to 75% maturity, grain yield per plant, biological yield per plant, harvest index, test grain weight, number of spikelets per panicle, percent spikelet fertility, kernel length, kernel breadth and kernel length-breadth ratio. Partitioning of GxE component of variance showed that both linear and non-linear contributed towards interaction in majority of traits. AMMI Model’s first two IPCA components accounted for > 70% of GEI. Stability analysis identified genotype HPR 2693 stable for grain yield per plant, HPR 2862 and HPR 2855 for harvest index, Hasansarai for test grain weight and HPR2692 for percent spikelet fertility.Majority of the basmati genotypes were stable over locations for kernel length, kernel breadth and kernel length-breadth ratio. In general, genotypes which gave maximum grain yield in locations were found to be adaptable to respective locations like Pusa 1121 to Dhaulakaun. Molecular diversity analysis was done using 36 genome wide SSR markers. The number of alleles generated per SSR locus ranged from 2 to 4 with an average of 2.42 alleles per locus reflecting a low level of allelic diversity in the germplasm. The PIC values ranged from 0.062-0.664 with an average of 0.348. The pairwise genetic similarity values among different genotypes ranged from 0.17 to 0.92 with an average value of 0.48. Cluster analysis of SSR data grouped the genotypes largely according to their varietal affiliations into five major clusters. Three SSR markers RM1195, RM7173 and RM101 were identified as genotype specific marker. The diverse genotypes and informative SSR markers identified could be utilized in molecular breeding programme of rice in the future.