prasanna rajesh | Acharya N.G.Ranga Agricultural University (original) (raw)
Papers by prasanna rajesh
DOAJ (DOAJ: Directory of Open Access Journals), Mar 1, 2015
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic coefficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
International Journal of Plant and Soil Science, Mar 9, 2022
The study consists of fifty-nine blackgram genotypes, which were evaluated for fourteen quantitat... more The study consists of fifty-nine blackgram genotypes, which were evaluated for fourteen quantitative and qualitative traits. In order to determine the relationship and diversity among the blackgram genotypes taken for study. A field experiment was conducted at the Regional Agricultural Research Station, Lam, Guntur district, Andhra Pradesh state during Kharif, 2019. Principal component analysis for various yield-contributing traits was done to evaluate diversity and some quantitative and qualitative traits that had more effects on diversity. PCA results revealed that four of the five principal components had eigen values greater than one. The first five components obtained from principal component analysis (PC 1 to 5) accounted for about 76.73% of the total variation for fourteen quantitative and qualitative traits. Out of total principal components,
Electronic Journal of Plant Breeding, Mar 31, 2015
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic coefficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
Genetic variability and association analysis for yield, physiological and quality traits in drought tolerant groundnut genotypes
Journal of Food Legumes, 2017
Genetic diversity based on cluster and principal component analysis for yield, yield components and quality traits in peanut stem necrosis tolerant groundnut (Arachis hypogaea L.) genotypes
The Journal of Research ANGRAU, 2016
ASSESSMENT OF VARIABILITY FOR GRAIN YIELD AND QUALITY CHARACTERS IN RICE (Oryza Sativa L.)
Bangladesh Journal of Agricultural Research, 2016
Twenty five rice varieties were evaluated for their variability with regard to yield and yield co... more Twenty five rice varieties were evaluated for their variability with regard to yield and yield components. Estimates of heritability and genetic advance as per cent mean were also obtained for the above traits. In addition, studies on character associations and path coefficients were also undertaken. The results revealed high variability, heritability and genetic advance as per cent mean for productive tillers per plant, number of tillers per plant, number of grains per panicle and number of filled grains per panicle, while days to maturity was recorded with high heritability coupled with low genetic advance as per cent of mean. Further, yield was observed to be positively associated with number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle. Among these, number of tillers per plant, productive tillers per plant and number of filled grains per panicle were noticed to exert high direct effects on grain yield per plant. High indirect effects of most of the traits were noticed mostly through productive tillers per plant indicating importance of the trait as selection criteria in crop yield improvement programmes.
Multivariant analysis using principal component analysis for various traits in Mungbean
Journal of Pharmacognosy and Phytochemistry, 2019
ELECTRONIC JOURNAL OF PLANT BREEDING, 2021
The genetic distance assessment of forty blackgram genotypes was conducted employing Mahalanobis'... more The genetic distance assessment of forty blackgram genotypes was conducted employing Mahalanobis' D 2 statistics considering ten quantitative characters. All the studied genotypes were grouped in ten discrete clusters, among which cluster I was indeed the largest with thirteen genotypes followed by cluster V with eight genotypes, cluster IV with seven genotypes and cluster II with five genotypes. Cluster IX was digenotypic, other clusters III, VI, VII, VIII and X were all solitary. Cluster IV and IX had the greatest inter-cluster gap followed by cluster VIII and IX, clusters VII and IX, clusters II and IX, clusters III and IX, clusters V and IV, clusters IX and Cluster X and between cluster VI and IX, implying that a successful breeding programme can be begun by selecting diverse lines to improve productivity and other yield-related traits. In the current investigation, cluster X, cluster VI, cluster IV and cluster VIII were considered divergent enough and found to be the best. Hence, genotypes from these clusters viz., TU 94-2 from cluster IX, PU 31 from cluster VI, IPU 94-1 from cluster IV and LBG 623 from cluster VIII can be used in the crossing programme for additional genetic enhancement. Cluster IX had the highest mean score for traits viz., the number of clusters per plant, the number of pods per plant, pod length, test weight and grain yield per plant. The number of pods per plant provided the most to genetic diversity succeeded by the number of clusters per plant, days to maturity, plant height, pod length and test weight. As a result, in a crossing programme, selecting and utilising genotypes based on these traits will be more rewarding. Furthermore, taking into account the genotype disposition in various clusters, one can perform different possible crosses to produce heterotic hybrids or transgressive segregants, based on the nature of gene action regulating the traits.
The Pharma Innovation, 2020
The present investigation was undertaken with 33 coloured and white rice genotypes to estimate ge... more The present investigation was undertaken with 33 coloured and white rice genotypes to estimate genetic divergence of the genotypes for yield and quality traits. The study involved seven red pericarp, eight black pericarp and 17 white rice genotypes, in addition to the check, BPT 5204. Principal component analysis was utilized to evaluate the variation and to estimate the relative contribution of various traits for total variability. Results revealed five principal components with eigen value > 1. These components contributed for a total variability of 78.2632 per cent. Component 1 (PC 1) had contributed maximum of 34.9423 per cent while PC 2 had contributed to 18.7909 per cent, PC 3 had contributed 11.2637 per cent, PC 4 had contributed 6.9756 and PC 5 had contributed to 6.2906 per cent towards the total variability. The characters, namely, milling per cent, iron content, plant height and head rice recovery were observed to explain maximum variance in PC 1. The results of 2D scatter diagram revealed Kakirekalu and BPT 5204 genotypes to be most diverse. Hybridization of these diverse genotypes is therefore predicted to result in desirable coloured transgressive segregants.
Review article A BRIEF REVIEW ON GENETIC DIVERGENCE IN RICE FOR YIELD CONTRIBUTING TRAITS AND QUALITY PARAMETERS M.Sudharani
Breeding rice varieties with preferred grain quality features has become second most important ob... more Breeding rice varieties with preferred grain quality features has become second most important objective next to yield. The grain quality features are important for all people involved in production, processing and consumption. The significance of grain quality varies depending upon the requisites established by the international market, ethnic customs, uses etc. A given community may demand a certain rice quality that would be unacceptable to another. The preferences and tastes of one country differ from those of another country and even within the same country, distinct appreciations of quality may exist. Different characteristics of grain quality in rice largely determine the products market price and acceptability. If the consumer does not like the flavor, texture, aroma, appearance or ease of cooking in a new variety, whatever the other outstanding traits it may possesses loses its value. With the improvement of rural infra structure, economic globalization and changes in acqui...
Review article A COMPREHENSIVE REVIEW ON MOLECULAR BASIS OF SALINITY TOLERANCE AND HETEROTIC EFFECTS IN RICE (ORYZA SATIVA L.) UNDER SALINE SOILS M.Sudharani
Recent developments in quantitative genetics making use of molecular markers made it possible for... more Recent developments in quantitative genetics making use of molecular markers made it possible for the determination of the map position and the relative contribution of the different loci to the observed trait variation. An important application of this knowledge is via Marker Assisted Selection (MAS), where molecular markers linked to the loci determining variation for the trait can be used to select the most favorable genotypes without a need to determine mineral levels by relatively complex and expensive assays in all breeding generations. Molecular studies have revealed that salt tolerance is controlled by interactions between several independently regulated but temporally and spatially coordinated processes (Kawasaki et al. 2001; Ozturk et al. 2002; Seki et al. 2002). Using F2 population derived from a salt tolerant japonica rice mutant, M-20 and the sensitive original variety 77-170A, Zhang et al. (1995) mapped a major gene for salt tolerance on chromosome seven. QTL analysis ...
Genetic variability and association analysis for yield, physiological and quality traits in drought tolerant groundnut genotypes
Journal of Food Legumes, 2017
Thirty drought tolerant groundnut genotypes developed at Agricultural Research Station, Kadiri of... more Thirty drought tolerant groundnut genotypes developed at Agricultural Research Station, Kadiri of Anantapur District, Andhra Pradesh were evaluated for their variability with regards to yield, physiological and quality traits. Estimates of heritability, genetic advance and genetic advance as per cent mean were also obtained for the above traits. The results revealed high to moderate GCV and PCV in addition to high heritability and high genetic advance as per cent mean for haulm yield per plant and free proline content. Further, pods per plant, pod yield per plant, and 100 kernel weights were observed with high positive direct effects and strong positive associations with kernel yield per plant. Consequently, these attributes are identified as effective selection criteria for kernel yield improvement in groundnut.
Review article A COMPREHENSIVE REVIEW ON MOLECULAR BASIS OF SALINITY TOLERANCE AND HETEROTIC EFFECTS IN RICE (ORYZA SATIVA L.) UNDER SALINE SOILS
Recent developments in quantitative genetics making use of molecular markers made it possible for... more Recent developments in quantitative genetics making use of molecular markers made it possible for the determination of the map position and the relative contribution of the different loci to the observed trait variation. An important application of this knowledge is via Marker Assisted Selection (MAS), where molecular markers linked to the loci determining variation for the trait can be used to select the most favorable genotypes without a need to determine mineral levels by relatively complex and expensive assays in all breeding generations.
Research Note Genetic Variability Studies for Yield and Yield Components in Rice (Oryza Sativa L.)
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic co-efficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
International Journal of Chemical Studies, 2020
Sixty greengram germplasm lines were subjected to multivariate analysis through Mahalanobis’ D2 s... more Sixty greengram germplasm lines were subjected to multivariate analysis through Mahalanobis’ D2 statistics (Tocher’s method) and 60 genotypes were grouped into nine clusters. Cluster III was the largest with 19 genotypes, followed by cluster I having 17 genotypes, cluster II and VII with eight genotypes, cluster V having 5 genotypes and clusters IV, VI, VIII and IX were solitary clusters. The maximum inter-cluster distance was between cluster VIII and IV, followed by cluster VIII and V. It shows that there is wide genetic diversity between the clusters. On the basis of divergence between clusters, superior F1s or their transgressive segregants can be obtained by crossing between the genotypes belonging to cluster VIII and cluster IV and also between genotypes belonging to cluster VIII and cluster V which are having maximum inter cluster distance between them. Further such genotypes from above clusters which are having better per se are to be considered for hybridization programme.
On Genetic Divergence in Rice for Yield Contributing Traits and Quality Parameters
Breeding rice varieties with preferred grain quality features has become second most important ob... more Breeding rice varieties with preferred grain quality features has become second most important objective next to yield. The grain quality features are important for all people involved in production, processing and consumption. The significance of grain quality varies depending upon the requisites established by the international market, ethnic customs, uses etc. A given community may demand a certain rice quality that would be unacceptable to another. The preferences and tastes of one country differ from those of another country and even within the same country, distinct appreciations of quality may exist.
Genetic Diversity Studies In Drought Tolerant Groundnut
Principal components of genetic diversity in black gram [Vigna mungo (L.) Hepper]
The Pharma Innovation Journal, 2021
Forty black gram [Vigna mungo (L.) Hepper] genotypes were evaluated using principal component ana... more Forty black gram [Vigna mungo (L.) Hepper] genotypes were evaluated using principal component analysis to estimate the extent of genetic diversity for ten different yield and its component traits. The first three principal components viz., PC I, PC II and PC III with eigen values more than one contributed around 80% of the variability for the genotypes studied. PC I contributed 46.834% towards variability and the traits responsible for its contribution are viz., number of clusters per plant, grain yield per plant, number of branches per plant and number of seeds per pod. The second axis (PC II) contributed 18.951% variability and variation at this axis is due to the accumulated genetic variation of traits viz., days to 50% flowering, days to maturity, grain yield per plant and number of clusters per plant. While PC III and PC IV accumulated 13.807% and 5.765% respectively. Therefore on a cumulative note, first four axes contributed about 85.357% of total variance among 10 characters...
GENETIC ANALYSIS OF YIELD, PHYSIOLOGICAL AND CONFECTIONERY TRAITS IN GROUNDNUT (Arachis hypogaea L.)
A study comprising of 28 crosses derived from a 8 X 8 half diallel was carried out at Agricultura... more A study comprising of 28 crosses derived from a 8 X 8 half diallel was carried out at Agricultural Research Station, Kadiri during rabi 2008 and kharif 2009 seasons. The data recorded on yield, physiological and confectionery traits (eighteen characters) were subjected to combining ability analysis, heterosis, genetic parameters, character association and path co-efficient analysis. Among parents K 1375 was found as a promising genotype for pod yield, kernel yield, oil percent, SMK percent, shelling percent, early maturity as well as for physiological traits i.e., high SCMR, low SLA at 30, 60 and 90 DAS and high RWC. The other promising parents identified were K 1271 for kernel yield, SMK percent, shelling percent and early flowering habit, ICGV 86564 and ICGV 99073 for pod yield, kernel yield per plant, HKW and haulm yield per plant, ICGV 99073 for high oil content and RWC and ICGV 86564 for low SLA at 30, 60, and 90 DAS during both the seasons. Among F1s crosses K 1375 X K 1319 ex...
DOAJ (DOAJ: Directory of Open Access Journals), Mar 1, 2015
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic coefficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
International Journal of Plant and Soil Science, Mar 9, 2022
The study consists of fifty-nine blackgram genotypes, which were evaluated for fourteen quantitat... more The study consists of fifty-nine blackgram genotypes, which were evaluated for fourteen quantitative and qualitative traits. In order to determine the relationship and diversity among the blackgram genotypes taken for study. A field experiment was conducted at the Regional Agricultural Research Station, Lam, Guntur district, Andhra Pradesh state during Kharif, 2019. Principal component analysis for various yield-contributing traits was done to evaluate diversity and some quantitative and qualitative traits that had more effects on diversity. PCA results revealed that four of the five principal components had eigen values greater than one. The first five components obtained from principal component analysis (PC 1 to 5) accounted for about 76.73% of the total variation for fourteen quantitative and qualitative traits. Out of total principal components,
Electronic Journal of Plant Breeding, Mar 31, 2015
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic coefficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
Genetic variability and association analysis for yield, physiological and quality traits in drought tolerant groundnut genotypes
Journal of Food Legumes, 2017
Genetic diversity based on cluster and principal component analysis for yield, yield components and quality traits in peanut stem necrosis tolerant groundnut (Arachis hypogaea L.) genotypes
The Journal of Research ANGRAU, 2016
ASSESSMENT OF VARIABILITY FOR GRAIN YIELD AND QUALITY CHARACTERS IN RICE (Oryza Sativa L.)
Bangladesh Journal of Agricultural Research, 2016
Twenty five rice varieties were evaluated for their variability with regard to yield and yield co... more Twenty five rice varieties were evaluated for their variability with regard to yield and yield components. Estimates of heritability and genetic advance as per cent mean were also obtained for the above traits. In addition, studies on character associations and path coefficients were also undertaken. The results revealed high variability, heritability and genetic advance as per cent mean for productive tillers per plant, number of tillers per plant, number of grains per panicle and number of filled grains per panicle, while days to maturity was recorded with high heritability coupled with low genetic advance as per cent of mean. Further, yield was observed to be positively associated with number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle. Among these, number of tillers per plant, productive tillers per plant and number of filled grains per panicle were noticed to exert high direct effects on grain yield per plant. High indirect effects of most of the traits were noticed mostly through productive tillers per plant indicating importance of the trait as selection criteria in crop yield improvement programmes.
Multivariant analysis using principal component analysis for various traits in Mungbean
Journal of Pharmacognosy and Phytochemistry, 2019
ELECTRONIC JOURNAL OF PLANT BREEDING, 2021
The genetic distance assessment of forty blackgram genotypes was conducted employing Mahalanobis'... more The genetic distance assessment of forty blackgram genotypes was conducted employing Mahalanobis' D 2 statistics considering ten quantitative characters. All the studied genotypes were grouped in ten discrete clusters, among which cluster I was indeed the largest with thirteen genotypes followed by cluster V with eight genotypes, cluster IV with seven genotypes and cluster II with five genotypes. Cluster IX was digenotypic, other clusters III, VI, VII, VIII and X were all solitary. Cluster IV and IX had the greatest inter-cluster gap followed by cluster VIII and IX, clusters VII and IX, clusters II and IX, clusters III and IX, clusters V and IV, clusters IX and Cluster X and between cluster VI and IX, implying that a successful breeding programme can be begun by selecting diverse lines to improve productivity and other yield-related traits. In the current investigation, cluster X, cluster VI, cluster IV and cluster VIII were considered divergent enough and found to be the best. Hence, genotypes from these clusters viz., TU 94-2 from cluster IX, PU 31 from cluster VI, IPU 94-1 from cluster IV and LBG 623 from cluster VIII can be used in the crossing programme for additional genetic enhancement. Cluster IX had the highest mean score for traits viz., the number of clusters per plant, the number of pods per plant, pod length, test weight and grain yield per plant. The number of pods per plant provided the most to genetic diversity succeeded by the number of clusters per plant, days to maturity, plant height, pod length and test weight. As a result, in a crossing programme, selecting and utilising genotypes based on these traits will be more rewarding. Furthermore, taking into account the genotype disposition in various clusters, one can perform different possible crosses to produce heterotic hybrids or transgressive segregants, based on the nature of gene action regulating the traits.
The Pharma Innovation, 2020
The present investigation was undertaken with 33 coloured and white rice genotypes to estimate ge... more The present investigation was undertaken with 33 coloured and white rice genotypes to estimate genetic divergence of the genotypes for yield and quality traits. The study involved seven red pericarp, eight black pericarp and 17 white rice genotypes, in addition to the check, BPT 5204. Principal component analysis was utilized to evaluate the variation and to estimate the relative contribution of various traits for total variability. Results revealed five principal components with eigen value > 1. These components contributed for a total variability of 78.2632 per cent. Component 1 (PC 1) had contributed maximum of 34.9423 per cent while PC 2 had contributed to 18.7909 per cent, PC 3 had contributed 11.2637 per cent, PC 4 had contributed 6.9756 and PC 5 had contributed to 6.2906 per cent towards the total variability. The characters, namely, milling per cent, iron content, plant height and head rice recovery were observed to explain maximum variance in PC 1. The results of 2D scatter diagram revealed Kakirekalu and BPT 5204 genotypes to be most diverse. Hybridization of these diverse genotypes is therefore predicted to result in desirable coloured transgressive segregants.
Review article A BRIEF REVIEW ON GENETIC DIVERGENCE IN RICE FOR YIELD CONTRIBUTING TRAITS AND QUALITY PARAMETERS M.Sudharani
Breeding rice varieties with preferred grain quality features has become second most important ob... more Breeding rice varieties with preferred grain quality features has become second most important objective next to yield. The grain quality features are important for all people involved in production, processing and consumption. The significance of grain quality varies depending upon the requisites established by the international market, ethnic customs, uses etc. A given community may demand a certain rice quality that would be unacceptable to another. The preferences and tastes of one country differ from those of another country and even within the same country, distinct appreciations of quality may exist. Different characteristics of grain quality in rice largely determine the products market price and acceptability. If the consumer does not like the flavor, texture, aroma, appearance or ease of cooking in a new variety, whatever the other outstanding traits it may possesses loses its value. With the improvement of rural infra structure, economic globalization and changes in acqui...
Review article A COMPREHENSIVE REVIEW ON MOLECULAR BASIS OF SALINITY TOLERANCE AND HETEROTIC EFFECTS IN RICE (ORYZA SATIVA L.) UNDER SALINE SOILS M.Sudharani
Recent developments in quantitative genetics making use of molecular markers made it possible for... more Recent developments in quantitative genetics making use of molecular markers made it possible for the determination of the map position and the relative contribution of the different loci to the observed trait variation. An important application of this knowledge is via Marker Assisted Selection (MAS), where molecular markers linked to the loci determining variation for the trait can be used to select the most favorable genotypes without a need to determine mineral levels by relatively complex and expensive assays in all breeding generations. Molecular studies have revealed that salt tolerance is controlled by interactions between several independently regulated but temporally and spatially coordinated processes (Kawasaki et al. 2001; Ozturk et al. 2002; Seki et al. 2002). Using F2 population derived from a salt tolerant japonica rice mutant, M-20 and the sensitive original variety 77-170A, Zhang et al. (1995) mapped a major gene for salt tolerance on chromosome seven. QTL analysis ...
Genetic variability and association analysis for yield, physiological and quality traits in drought tolerant groundnut genotypes
Journal of Food Legumes, 2017
Thirty drought tolerant groundnut genotypes developed at Agricultural Research Station, Kadiri of... more Thirty drought tolerant groundnut genotypes developed at Agricultural Research Station, Kadiri of Anantapur District, Andhra Pradesh were evaluated for their variability with regards to yield, physiological and quality traits. Estimates of heritability, genetic advance and genetic advance as per cent mean were also obtained for the above traits. The results revealed high to moderate GCV and PCV in addition to high heritability and high genetic advance as per cent mean for haulm yield per plant and free proline content. Further, pods per plant, pod yield per plant, and 100 kernel weights were observed with high positive direct effects and strong positive associations with kernel yield per plant. Consequently, these attributes are identified as effective selection criteria for kernel yield improvement in groundnut.
Review article A COMPREHENSIVE REVIEW ON MOLECULAR BASIS OF SALINITY TOLERANCE AND HETEROTIC EFFECTS IN RICE (ORYZA SATIVA L.) UNDER SALINE SOILS
Recent developments in quantitative genetics making use of molecular markers made it possible for... more Recent developments in quantitative genetics making use of molecular markers made it possible for the determination of the map position and the relative contribution of the different loci to the observed trait variation. An important application of this knowledge is via Marker Assisted Selection (MAS), where molecular markers linked to the loci determining variation for the trait can be used to select the most favorable genotypes without a need to determine mineral levels by relatively complex and expensive assays in all breeding generations.
Research Note Genetic Variability Studies for Yield and Yield Components in Rice (Oryza Sativa L.)
Twenty five rice genotypes were evaluated in randomized block design with three replications to e... more Twenty five rice genotypes were evaluated in randomized block design with three replications to examine the nature and magnitude of variability, heritability and genetic advance. Analysis of variance revealed that differences among the genotypes were significant for all the characters studied. Further, the traits, number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle showed higher estimates of genotypic and phenotypic co-efficient of variation, while high estimates of heritability were recorded for all the characters under study. High heritability coupled with high genetic advance as per cent of mean was also recorded for number of tillers per plant, productive tillers per plant, number of grains per panicle and number of filled grains per panicle suggesting that these traits were more useful for targetted yield improvement programmes in rice.
International Journal of Chemical Studies, 2020
Sixty greengram germplasm lines were subjected to multivariate analysis through Mahalanobis’ D2 s... more Sixty greengram germplasm lines were subjected to multivariate analysis through Mahalanobis’ D2 statistics (Tocher’s method) and 60 genotypes were grouped into nine clusters. Cluster III was the largest with 19 genotypes, followed by cluster I having 17 genotypes, cluster II and VII with eight genotypes, cluster V having 5 genotypes and clusters IV, VI, VIII and IX were solitary clusters. The maximum inter-cluster distance was between cluster VIII and IV, followed by cluster VIII and V. It shows that there is wide genetic diversity between the clusters. On the basis of divergence between clusters, superior F1s or their transgressive segregants can be obtained by crossing between the genotypes belonging to cluster VIII and cluster IV and also between genotypes belonging to cluster VIII and cluster V which are having maximum inter cluster distance between them. Further such genotypes from above clusters which are having better per se are to be considered for hybridization programme.
On Genetic Divergence in Rice for Yield Contributing Traits and Quality Parameters
Breeding rice varieties with preferred grain quality features has become second most important ob... more Breeding rice varieties with preferred grain quality features has become second most important objective next to yield. The grain quality features are important for all people involved in production, processing and consumption. The significance of grain quality varies depending upon the requisites established by the international market, ethnic customs, uses etc. A given community may demand a certain rice quality that would be unacceptable to another. The preferences and tastes of one country differ from those of another country and even within the same country, distinct appreciations of quality may exist.
Genetic Diversity Studies In Drought Tolerant Groundnut
Principal components of genetic diversity in black gram [Vigna mungo (L.) Hepper]
The Pharma Innovation Journal, 2021
Forty black gram [Vigna mungo (L.) Hepper] genotypes were evaluated using principal component ana... more Forty black gram [Vigna mungo (L.) Hepper] genotypes were evaluated using principal component analysis to estimate the extent of genetic diversity for ten different yield and its component traits. The first three principal components viz., PC I, PC II and PC III with eigen values more than one contributed around 80% of the variability for the genotypes studied. PC I contributed 46.834% towards variability and the traits responsible for its contribution are viz., number of clusters per plant, grain yield per plant, number of branches per plant and number of seeds per pod. The second axis (PC II) contributed 18.951% variability and variation at this axis is due to the accumulated genetic variation of traits viz., days to 50% flowering, days to maturity, grain yield per plant and number of clusters per plant. While PC III and PC IV accumulated 13.807% and 5.765% respectively. Therefore on a cumulative note, first four axes contributed about 85.357% of total variance among 10 characters...
GENETIC ANALYSIS OF YIELD, PHYSIOLOGICAL AND CONFECTIONERY TRAITS IN GROUNDNUT (Arachis hypogaea L.)
A study comprising of 28 crosses derived from a 8 X 8 half diallel was carried out at Agricultura... more A study comprising of 28 crosses derived from a 8 X 8 half diallel was carried out at Agricultural Research Station, Kadiri during rabi 2008 and kharif 2009 seasons. The data recorded on yield, physiological and confectionery traits (eighteen characters) were subjected to combining ability analysis, heterosis, genetic parameters, character association and path co-efficient analysis. Among parents K 1375 was found as a promising genotype for pod yield, kernel yield, oil percent, SMK percent, shelling percent, early maturity as well as for physiological traits i.e., high SCMR, low SLA at 30, 60 and 90 DAS and high RWC. The other promising parents identified were K 1271 for kernel yield, SMK percent, shelling percent and early flowering habit, ICGV 86564 and ICGV 99073 for pod yield, kernel yield per plant, HKW and haulm yield per plant, ICGV 99073 for high oil content and RWC and ICGV 86564 for low SLA at 30, 60, and 90 DAS during both the seasons. Among F1s crosses K 1375 X K 1319 ex...