The present study was carried out to estimate the amount of genetic variability, correlation, dir... more The present study was carried out to estimate the amount of genetic variability, correlation, direct and indirect effects of yield attributes on yield in F 2 population of cross combination TM-136 × KMR(E) 16-1 of Indian mustard. The experimental F 2 population was laid out during Rabi 2020-21 in an un-replicated trial along with parents. The observations for eleven traits were recorded for 300 F 2 progeny plants and ten plants from each parent. The range for all the traits revealed a maximum variability. High genotypic and phenotypic coefficient of variation coupled with high heritability and high genetic advance over mean were observed for the traits viz., yield per plant, primary branches per plant, secondary branches per plant, racemes per plant, siliqua per raceme suggesting that these traits were controlled by additive gene action and were less influenced by environment and can be improved through simple selection. The traits, number of primary branches per plant, secondary branches per plant, racemes per plant, siliqua per raceme, siliqua length and 1000-seed weight showed a positive and significant association with the yield. The trait number of secondary branches per plant exhibited the highest direct positive effect on seed yield per plant. Hence, major emphasis may be given to these traits while developing selection strategies.
Multivariate statistical analysis techniques like Principal Component Analysis (PCA) and heirarch... more Multivariate statistical analysis techniques like Principal Component Analysis (PCA) and heirarchial clustering were used to evaluate Genetic diversity among 246 genotypes of Tobacco for six major yield and yield-related traits. The hierarchial clustering indicated that all the genotypes were clustered into eight major groups. The cluster III had the maximum number of genotypes with highest intra cluster distance and cluster IV and VIII showed maximum inter cluster distance indicating that the characterized tobacco genotypes in these clusters has high potential for various breeding goals. Principal component analysis and genotype by trait biplot analysis showed that the first four components accounted for 94.75 per cent of the total variation, with principal component 1 (PC1) accounting for 55.96 per cent and PC2 for 20.97 per cent of the total variation. The high yielding genotypes with other yield attributes identified in this study would offer valuable genetic material for breeding elite tobacco varieties.
Rice (Oryza sativa L.) stands as a important cereal sustaining over half of the world's populatio... more Rice (Oryza sativa L.) stands as a important cereal sustaining over half of the world's population. This study delves into the challenges confronting breeders in the realm of crop improvement, specifically focusing on the intricate task of designing an ideotype-a genotype amalgamating diverse attributes for optimal performance. Traditional methodologies, exemplified by the Smith-Hazel (SH) index, grapple with issues such as multicollinearity and the complexities of economic weighting decisions. In response to these challenges, the Multi-Trait Genotype-Ideotype Distance Index (MGIDI), conceptualized by Olivoto and Nardino (2021), emerges as a ground breaking approach. Principal Component Analysis (PCA) aids in the reduction of trait dimensionality, revealing four key factors that collectively contribute to 79.444% of total variability. The Scree plot guides factor selection, ensuring a targeted analysis. The MGIDI index computation yields a total genetic gain of 273.025%, with specific traits like spikelet fertility and seedling dry weight exhibiting significant gains. Six high-performing rice accessions-SM227, NLR33892, MTU3626, 239(3), SMB3, and 405C3 were identified through MGIDI. These identified genotypes serve as valuable resources for developing recombinant populations, aligning with sustainable and effective crop improvement strategies. Additionally, these promising varieties exhibit strengths across various traits, offering potential for simultaneous trait improvement in future breeding programmes. The efficiency of MGIDI is highlighted through its innovative application in simultaneous trait selection, underscoring its significance across a wide range of crops.
Mustard (Brassica juncea L.) cultivation was largely confined to northern India, although climate... more Mustard (Brassica juncea L.) cultivation was largely confined to northern India, although climate change paved the way for crop introduction to southern parts of the country. This fall, an investigation was conducted to evaluate 68 Indian mustard genotypes in the Main Agricultural Research Station, Dharwad (University of Agricultural Sciences, Dharwad) in rabi 2018-19. The objective of the present study is to study the genetic variability for yield and yield attributes in Indian mustard. The results of genetic variability study indicated that significant genotypic variation in key traits such as secondary branches, racemes per plant, economic yield, biological yield, harvest index, seed yield, seeds per siliqua, siliqua length, number of siliqua per raceme, and oil yield. Traits like days to 50% flowering, days to maturity, and oil content exhibited low variation. Additionally, traits with high heritability, including plant height, primary branches, racemes per plant, and several yield-related parameters, showed substantial genetic advance, suggesting the potential for effective selection and rapid improvement in these characteristics.
International Journal of Plant & Soil Science, 2023
The present study was carried out in the Autumn 2020-21 using a Randomized Complete Block Design ... more The present study was carried out in the Autumn 2020-21 using a Randomized Complete Block Design (RCBD) with three replications. Forty-two different genotypes of rice were evaluated in this investigation. These genotypes were assessed based on 21 quantitative traits, which includes yield and yield related traits and early seedling vigour related traits. The Mahalanobis D 2 statistic was used for characterizing the genotypes. Based on the D 2 analysis, the 42 rice genotypes were grouped into seven clusters. Among these clusters, cluster I was the largest, consisting of 22 genotypes. Cluster III exhibited the highest intracluster distance (22.04), while the maximum intercluster distance was observed between clusters II and III (49.06), followed by clusters III and VII (45.84). These results highlight the significance of the genotypes present in these clusters for harnessing heterosis and exploiting the desirable traits associated with them.
The poor fibre quality and susceptibility of the cotton genotypes to the sucking pests serves as ... more The poor fibre quality and susceptibility of the cotton genotypes to the sucking pests serves as a major setback to the cotton growing community of the country. The present study consists 390 Recombinant inbred lines along with 6 checks which were evaluated in augmented design. The experiment was conducted in botanical garden, University of Agricultural Sciences, Dharwad during kharif 2021. The identification of the strength and kind of relationships between economically significant yield components that contribute to yield in order to increase cotton yield. The correlation study revealed that seed cotton yield was significantly and positively correlated with number of sympodial branches plants-1 , number of bolls plant-1 , boll weight and lint yield plant-1. Whereas, it had negative association with ginning outturn, seed index and lint index. Path coefficient analysis revealed that plant height, total number of monopodial branches plant-1 , number of sympodial branches plant-1 , boll weight, seed index and lint yield plant-1 had a favourable direct effect on seed cotton output, indicating that selecting for these traits would be quite successful in enhancing seed cotton yield in cotton. The objective of this study is to improve the fibre quality and overall productivity through use the recombinant inbred lines.
The present study was carried out to study yield and yield attributing traits in tobacco, to deli... more The present study was carried out to study yield and yield attributing traits in tobacco, to deliver information regarding the amount of variability, broad-sense heritability, genetic advance over mean and traits association. The experiment was laid out during Rabi 2020 in an Augmented Block Design with 242 genotypes and 4 checks. The box plot analysis revealed that maximum variability for all the traits and the Analysis of variance revealed that the magnitude of the phenotypic coefficient of variance is slightly higher than the genotypic coefficient of variance for all characters studied. Furthermore, a high amount of broad-sense heritability and genetic advance over mean were observed for traits like plant height, number of leaves per plant, internode length, leaf length, leaf width, and yield. This implies that direct selection for these traits might lead to significant progress in discovering superior tobacco genotypes. The character association study revealed that yield was positively and significantly correlated with plant height, the number of leaves per plant, leaf length, leaf width, and internode length hence, selection for these traits will help improve yield.
Abstract book published on International Conference on Advances in Agriculture and Food System To... more Abstract book published on International Conference on Advances in Agriculture and Food System Towards Sustainable Developmental Goals (AAFS-2022)
Abstracts Published on International Conference on Advances in Agriculture and Food System Toward... more Abstracts Published on International Conference on Advances in Agriculture and Food System Towards Sustainable Developmental Goals (AAFS-2022)
The present study was carried out to estimate the amount of genetic variability, correlation, dir... more The present study was carried out to estimate the amount of genetic variability, correlation, direct and indirect effects of yield attributes on yield in F 2 population of cross combination TM-136 × KMR(E) 16-1 of Indian mustard. The experimental F 2 population was laid out during Rabi 2020-21 in an un-replicated trial along with parents. The observations for eleven traits were recorded for 300 F 2 progeny plants and ten plants from each parent. The range for all the traits revealed a maximum variability. High genotypic and phenotypic coefficient of variation coupled with high heritability and high genetic advance over mean were observed for the traits viz., yield per plant, primary branches per plant, secondary branches per plant, racemes per plant, siliqua per raceme suggesting that these traits were controlled by additive gene action and were less influenced by environment and can be improved through simple selection. The traits, number of primary branches per plant, secondary branches per plant, racemes per plant, siliqua per raceme, siliqua length and 1000-seed weight showed a positive and significant association with the yield. The trait number of secondary branches per plant exhibited the highest direct positive effect on seed yield per plant. Hence, major emphasis may be given to these traits while developing selection strategies.
Multivariate statistical analysis techniques like Principal Component Analysis (PCA) and heirarch... more Multivariate statistical analysis techniques like Principal Component Analysis (PCA) and heirarchial clustering were used to evaluate Genetic diversity among 246 genotypes of Tobacco for six major yield and yield-related traits. The hierarchial clustering indicated that all the genotypes were clustered into eight major groups. The cluster III had the maximum number of genotypes with highest intra cluster distance and cluster IV and VIII showed maximum inter cluster distance indicating that the characterized tobacco genotypes in these clusters has high potential for various breeding goals. Principal component analysis and genotype by trait biplot analysis showed that the first four components accounted for 94.75 per cent of the total variation, with principal component 1 (PC1) accounting for 55.96 per cent and PC2 for 20.97 per cent of the total variation. The high yielding genotypes with other yield attributes identified in this study would offer valuable genetic material for breeding elite tobacco varieties.
Rice (Oryza sativa L.) stands as a important cereal sustaining over half of the world's populatio... more Rice (Oryza sativa L.) stands as a important cereal sustaining over half of the world's population. This study delves into the challenges confronting breeders in the realm of crop improvement, specifically focusing on the intricate task of designing an ideotype-a genotype amalgamating diverse attributes for optimal performance. Traditional methodologies, exemplified by the Smith-Hazel (SH) index, grapple with issues such as multicollinearity and the complexities of economic weighting decisions. In response to these challenges, the Multi-Trait Genotype-Ideotype Distance Index (MGIDI), conceptualized by Olivoto and Nardino (2021), emerges as a ground breaking approach. Principal Component Analysis (PCA) aids in the reduction of trait dimensionality, revealing four key factors that collectively contribute to 79.444% of total variability. The Scree plot guides factor selection, ensuring a targeted analysis. The MGIDI index computation yields a total genetic gain of 273.025%, with specific traits like spikelet fertility and seedling dry weight exhibiting significant gains. Six high-performing rice accessions-SM227, NLR33892, MTU3626, 239(3), SMB3, and 405C3 were identified through MGIDI. These identified genotypes serve as valuable resources for developing recombinant populations, aligning with sustainable and effective crop improvement strategies. Additionally, these promising varieties exhibit strengths across various traits, offering potential for simultaneous trait improvement in future breeding programmes. The efficiency of MGIDI is highlighted through its innovative application in simultaneous trait selection, underscoring its significance across a wide range of crops.
Mustard (Brassica juncea L.) cultivation was largely confined to northern India, although climate... more Mustard (Brassica juncea L.) cultivation was largely confined to northern India, although climate change paved the way for crop introduction to southern parts of the country. This fall, an investigation was conducted to evaluate 68 Indian mustard genotypes in the Main Agricultural Research Station, Dharwad (University of Agricultural Sciences, Dharwad) in rabi 2018-19. The objective of the present study is to study the genetic variability for yield and yield attributes in Indian mustard. The results of genetic variability study indicated that significant genotypic variation in key traits such as secondary branches, racemes per plant, economic yield, biological yield, harvest index, seed yield, seeds per siliqua, siliqua length, number of siliqua per raceme, and oil yield. Traits like days to 50% flowering, days to maturity, and oil content exhibited low variation. Additionally, traits with high heritability, including plant height, primary branches, racemes per plant, and several yield-related parameters, showed substantial genetic advance, suggesting the potential for effective selection and rapid improvement in these characteristics.
International Journal of Plant & Soil Science, 2023
The present study was carried out in the Autumn 2020-21 using a Randomized Complete Block Design ... more The present study was carried out in the Autumn 2020-21 using a Randomized Complete Block Design (RCBD) with three replications. Forty-two different genotypes of rice were evaluated in this investigation. These genotypes were assessed based on 21 quantitative traits, which includes yield and yield related traits and early seedling vigour related traits. The Mahalanobis D 2 statistic was used for characterizing the genotypes. Based on the D 2 analysis, the 42 rice genotypes were grouped into seven clusters. Among these clusters, cluster I was the largest, consisting of 22 genotypes. Cluster III exhibited the highest intracluster distance (22.04), while the maximum intercluster distance was observed between clusters II and III (49.06), followed by clusters III and VII (45.84). These results highlight the significance of the genotypes present in these clusters for harnessing heterosis and exploiting the desirable traits associated with them.
The poor fibre quality and susceptibility of the cotton genotypes to the sucking pests serves as ... more The poor fibre quality and susceptibility of the cotton genotypes to the sucking pests serves as a major setback to the cotton growing community of the country. The present study consists 390 Recombinant inbred lines along with 6 checks which were evaluated in augmented design. The experiment was conducted in botanical garden, University of Agricultural Sciences, Dharwad during kharif 2021. The identification of the strength and kind of relationships between economically significant yield components that contribute to yield in order to increase cotton yield. The correlation study revealed that seed cotton yield was significantly and positively correlated with number of sympodial branches plants-1 , number of bolls plant-1 , boll weight and lint yield plant-1. Whereas, it had negative association with ginning outturn, seed index and lint index. Path coefficient analysis revealed that plant height, total number of monopodial branches plant-1 , number of sympodial branches plant-1 , boll weight, seed index and lint yield plant-1 had a favourable direct effect on seed cotton output, indicating that selecting for these traits would be quite successful in enhancing seed cotton yield in cotton. The objective of this study is to improve the fibre quality and overall productivity through use the recombinant inbred lines.
The present study was carried out to study yield and yield attributing traits in tobacco, to deli... more The present study was carried out to study yield and yield attributing traits in tobacco, to deliver information regarding the amount of variability, broad-sense heritability, genetic advance over mean and traits association. The experiment was laid out during Rabi 2020 in an Augmented Block Design with 242 genotypes and 4 checks. The box plot analysis revealed that maximum variability for all the traits and the Analysis of variance revealed that the magnitude of the phenotypic coefficient of variance is slightly higher than the genotypic coefficient of variance for all characters studied. Furthermore, a high amount of broad-sense heritability and genetic advance over mean were observed for traits like plant height, number of leaves per plant, internode length, leaf length, leaf width, and yield. This implies that direct selection for these traits might lead to significant progress in discovering superior tobacco genotypes. The character association study revealed that yield was positively and significantly correlated with plant height, the number of leaves per plant, leaf length, leaf width, and internode length hence, selection for these traits will help improve yield.
Abstract book published on International Conference on Advances in Agriculture and Food System To... more Abstract book published on International Conference on Advances in Agriculture and Food System Towards Sustainable Developmental Goals (AAFS-2022)
Abstracts Published on International Conference on Advances in Agriculture and Food System Toward... more Abstracts Published on International Conference on Advances in Agriculture and Food System Towards Sustainable Developmental Goals (AAFS-2022)
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Papers by Maruthi Prasad
information regarding the amount of variability, broad-sense heritability, genetic advance over mean and
traits association. The experiment was laid out during Rabi 2020 in an Augmented Block Design with
242 genotypes and 4 checks. The box plot analysis revealed that maximum variability for all the traits
and the Analysis of variance revealed that the magnitude of the phenotypic coefficient of variance is
slightly higher than the genotypic coefficient of variance for all characters studied. Furthermore, a high
amount of broad-sense heritability and genetic advance over mean were observed for traits like plant
height, number of leaves per plant, internode length, leaf length, leaf width, and yield. This implies that
direct selection for these traits might lead to significant progress in discovering superior
tobacco genotypes. The character association study revealed that yield was positively and significantly
correlated with plant height, the number of leaves per plant, leaf length, leaf width, and internode length
hence, selection for these traits will help improve yield.
Books by Maruthi Prasad
information regarding the amount of variability, broad-sense heritability, genetic advance over mean and
traits association. The experiment was laid out during Rabi 2020 in an Augmented Block Design with
242 genotypes and 4 checks. The box plot analysis revealed that maximum variability for all the traits
and the Analysis of variance revealed that the magnitude of the phenotypic coefficient of variance is
slightly higher than the genotypic coefficient of variance for all characters studied. Furthermore, a high
amount of broad-sense heritability and genetic advance over mean were observed for traits like plant
height, number of leaves per plant, internode length, leaf length, leaf width, and yield. This implies that
direct selection for these traits might lead to significant progress in discovering superior
tobacco genotypes. The character association study revealed that yield was positively and significantly
correlated with plant height, the number of leaves per plant, leaf length, leaf width, and internode length
hence, selection for these traits will help improve yield.