Browsing by Author "Patel, Pushpam"
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ThesisItem Open Access Combining ability and stability analysis in bottle gourd [Lagenaria siceraria (Molina) Standl.)](Department of Horticulture (Vegetable Science), BAU, Sabour, 2022) Patel, Pushpam; Sharma, Ramesh KumarThe present study was conducted at Vegetable Research Farm of the Department of Horticulture (Vegetable and Floriculture), Bihar Agricultural University, Sabour, Bhagalpur. The investigation was based on combining ability, heterosis and to estimate stable genotypes for planning of an appropriate strategy for development of high yielding bottle gourd lines and F1 (crosses). The line × tester analysis was carried out involving 7 lines viz., BRBG-23, BRBG-65, BRBG- 21-2, BRBG-42-, BGL-19, BRBG-22-1, BRBG-41-1 and 3 testers (Rajendra Chamatkar, Swarna Sneha and Narendra Rashmi). Each line was crossed with each of the tester during March 2019. The evaluation trials of crosses and parents were conducted during three seasons namely August 2020, February 2021 and March 2021 transplanting in randomized block design with 3 replications. The experimental material consisted of 7 parents, 3 testers, 21 F1’s and one check (Narendra Shankar-4). Data was recorded on 13 quantitative, 3 biochemical and 9 morphological traits. In each replication per treatment five plants were randomly selected for observations on plant, fruit and yield characters on individual plant basis. Analysis of variance revealed significant difference among the genotypes for the traits under study. On the basis of pooled over seasons the estimates of variance component revealed that variance due to SCA was more pronounced than variance due to GCA for all the characters under study, indicating the importance of non-additive type of gene action for the expression for those characters. On the basis of pooled over seasons the GCA effect for fruit yield per hectare revealed that line BRBG22-1 was the best general combiner and among testers Narendra Rashmi was the best general combiner. The SCA effect of hybrids for fruit yield per hectare revealed that BRBG-21-1 × Swarna Sneha was the best specific combiner followed by BRBG-65 × Rajendra Chamatkar and BRBG-23 × Narendra Rashmi. Among the 21 crosses, the crosses, BRBG-22-1 × Swarna Sneha, BRBG-22-1 × Narendra Rashmi, BRBG-21-2 × Swarna Sneha and BRBG-23 × Narendra Rashmi showed more than 24 % standard heterosis for fruit yield per hectare. Thus, it was concluded that these crosses were the best and found suitable for higher fruit yield per hectare on the basis of mean performance and heterotic effect for fruit yield per hectare. BRBG-23 × Swarna Sneha, BRBG-65 × Swarna Sneha and Narendra shankar-4 were found stable genotypes for fruit yield per hectare in pooled data of the seasons. Genotypes BRBG-41-1 × Narendra Rashmi for number of primary branches per plant; BRBG-23 × Narendra Rashmi, BRBG-21-2 × Swarna Sneha, BRBG-22-1 × Swarna Sneha, BRBG-22-1 × Narendra Rashmi, BGL-19, BRBG-22-1 for number of node to first male flower; BRBG-23 × Narendra Rashmi, BRBG-42-1 × Swarna Sneha, BRBG-65 for number of node to first female flower; BRBG-23 × Swarna Sneha, BGL-19 × Rajendra Chamatkar, BRBG-41-1 × Swarna Sneha, BRBG-23, BRBG-65, Swarna Sneha, Narendra Rashmi, Narendra shankar-4 for days to first male flower opening; BRBG-23 × Swarna Sneha, BGL-19 × Rajendra Chamatkar, BRBG-41-1 × Swarna Sneha, Swarna Sneha for days to first female flower opening; BGL-19 × Rajendra Chamatkar, BGL-19 for days to first fruit harvest; BRBG-23 × Narendra Rashmi for vine length at the time of final harvesting (m); BRBG-41-1 × Swarna Sneha for length of fruit; BRBG-65 × Swarna Sneha, Narendra Rashmi for number of fruit per vine; BRBG-23 × Rajendra Chamatkar, BRBG-23 × Swarna Sneha, BGL-19 × Narendra Rashmi for weight of fruit; BRBG-23 × Swarna Sneha, BRBG-65 × Swarna Sneha and Narendra shankar-4 for fruit yield per vine; BRBG-22-1 × Swarna Sneha for total Protein; BRBG-23 × Narendra Rashmi, BRBG-65 × Swarna Sneha, BGL-19 × Rajendra Chamatkar, BRBG-22-1 × Rajendra Chamatkar, BRBG-41-1 × Swarna Sneha for fibre content were found stable genotypes.ThesisItem Open Access Genetic variability and correlation studies on growth, yield and quality of tomato (Solanum lycopersicum L.)(Dr. Rajendra Prasad Central Agricultural University, Pusa (Samastipur), 2017) Patel, Pushpam; Kumar, UditA study was conducted at Vegetable Research Farm, Dr. RPCAU, Pusa, Samastipur, Bihar during rabi 2015-16 to evaluate the genotypes of tomato (Solanum lycopersicum L.) for yield and quality. Investigation was carried out on variability, character association, path analysis and genetic divergence for morpho-physiological characters viz., Plant height at maturity, Number of primary branches per plant, Days to flower initiation, Days to fruit initiation. Days to fruit maturity at physiological stage, Diameter of fruit, Length of fruit, Number of locules per fruit, Number of fruits per plant, Average fruit weight, Fruit yield per plant, Fruit yield per hectare, Total soluble solid, Titrable acidity, Zinc content, Iron content, Lycopene content and Ascorbic acid content. 24 genotypes were grown in Randomized Block Design with three replications. Analysis of variance revealed highly significant differences among the genotypes for all the characters except iron content. The genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for lycopene content, average fruit weight, number of fruits per plant, fruit yield per hectare, fruit yield per plant, titrable acidity, number of locules per fruit, number of primary branches per plant, ascorbic acid and plant height at maturity. All characters were highly heritable in broad sense except iron content. All the characters had showed high heritability coupled with high genetic advance as per cent of mean except days to flower initiation, days to fruit initiation, days to fruit maturity at physiological stage, zinc & iron content indicating the presence of additive gene effects which may be utilized for improvement through phenotypic selection for yield improvement. Character association among the yield and yield attributing traits and identify better combinations as selection criteria for developing high yielding tomato genotypes. Fruit yield per plant was positively correlated with number of primary branches per plant, fruit diameter, fruit length, number of fruits per plant, average fruit weight, total soluble solid, days to flower initiation and titrable acidity suggesting that selection based on these characters would result better genotypes with higher yield. Among them number of primary branches per plant, fruit diameter, fruit length, number of fruits per plant were highly significantly correlated with yield per plant and average fruit weight and total soluble solid significantly correlated with yield per plant. Path coefficient analysis study revealed positive direct effect for plant height at maturity, number of primary branches per plant, days to flower initiation, days to fruit maturity at physiological stage, fruit length, number of locules per fruit, number of fruits per plant, average fruit weight, total soluble solid, titrable acidity and ascorbic acid on fruit yield per plant and selection based on these 18 characters would be more reliable for yield improvement. The 24 genotypes of tomato were grouped into five clusters using Tocher method. The genotypes in cluster IV and cluster II followed by cluster III and II and cluster V and II, due to maximum inter cluster distance between them, exhibited high degree of genetic diversity and thus may be utilized under inter varietal hybridization programme (transgressive breeding) for getting high yielding recombinants. Cluster IV was suitable for number of primary branches per plant, diameter of fruit, length of fruit, average fruit weight, yield per plant and yield per hectare. Therefore, selection of parents from this cluster for these traits would be effective. Maximum contribution towards divergence was obtained by lycopene content, average fruit weight, & ascorbic acid. All together they have contributed 67%.