An experiment was carried out to investigate the relationship between specific quantitative characters and sugarcane yield at the Sugarcane Research Institute, Pusa, Bihar, in February 2022. Thirty sugarcane seedlings obtained from three different crosses along with check were subjected to estimation trait association by correlation and path analyses. Cane yield showed strong positive and highly significant correlation with single cane weight, number of millable canes per clump and brix percent at 12th month. There was also positive significant correlation of number of shoots per clump with cane yield. Path analysis revealed the highest positive direct effect of brix percent at 12th month on cane yield followed by brix percent at 10th month and cane diameter. However, number of shoots per clump had considerable negative direct effects and indirect positive effects through single cane weight and number of millable canes per clump on cane yield. The traits that provide considerable positive correlation and positive direct effects to cane yield could be used as selection indices for yield improvement in for further clonal generations.
{"title":"Association study of yield and its component traits in sugarcane seedlings","authors":"Vennela M., Balwant Kumar, Dinesh Varma D.","doi":"10.37992/2024.1502.061","DOIUrl":"https://doi.org/10.37992/2024.1502.061","url":null,"abstract":"An experiment was carried out to investigate the relationship between specific quantitative characters and sugarcane yield at the Sugarcane Research Institute, Pusa, Bihar, in February 2022. Thirty sugarcane seedlings obtained from three different crosses along with check were subjected to estimation trait association by correlation and path analyses. Cane yield showed strong positive and highly significant correlation with single cane weight, number of millable canes per clump and brix percent at 12th month. There was also positive significant correlation of number of shoots per clump with cane yield. Path analysis revealed the highest positive direct effect of brix percent at 12th month on cane yield followed by brix percent at 10th month and cane diameter. However, number of shoots per clump had considerable negative direct effects and indirect positive effects through single cane weight and number of millable canes per clump on cane yield. The traits that provide considerable positive correlation and positive direct effects to cane yield could be used as selection indices for yield improvement in for further clonal generations.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arya B., Lovely B., Seeja G., Mini V., Jyothilekshmi S.
Biochemical characterisatics of 70 traditional landraces of rice (Oryza sativa L.) of Kerala including various micronutrients, rice bran oil and oryzanol content were analyzed. Traditional varieties have demonstrated their potential as valuable reservoirs of nutrients, indicating their suitability for incorporation into future breeding programmes aimed to develop nutritionally enriched rice varieties. Among the genotypes studied Oorkayama and Thekkan were identified with highest rice bran oil content and γ oryzanol content respectively. Fe, Zn, Na, K, carotene and anthocyanin content showed a wide range of variation among the genotypes. The GCV estimates were high for rice bran oil content and oryzanol content indicating higher magnitude of variability due to genotypes for these characters. The investigation suggests preponderance of additive gene effects for all the biochemical constituents under study as indicated by the high heritability coupled with high genetic advance.
{"title":"Unravelling the biochemical traits of traditional rice landraces of Kerala","authors":"Arya B., Lovely B., Seeja G., Mini V., Jyothilekshmi S.","doi":"10.37992/2024.1502.060","DOIUrl":"https://doi.org/10.37992/2024.1502.060","url":null,"abstract":"Biochemical characterisatics of 70 traditional landraces of rice (Oryza sativa L.) of Kerala including various micronutrients, rice bran oil and oryzanol content were analyzed. Traditional varieties have demonstrated their potential as valuable reservoirs of nutrients, indicating their suitability for incorporation into future breeding programmes aimed to develop nutritionally enriched rice varieties. Among the genotypes studied Oorkayama and Thekkan were identified with highest rice bran oil content and γ oryzanol content respectively. Fe, Zn, Na, K, carotene and anthocyanin content showed a wide range of variation among the genotypes. The GCV estimates were high for rice bran oil content and oryzanol content indicating higher magnitude of variability due to genotypes for these characters. The investigation suggests preponderance of additive gene effects for all the biochemical constituents under study as indicated by the high heritability coupled with high genetic advance.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"97 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ponsiva S.T., Senthilkumar N., Vanitha J., Anandan A., Satheeskumar K., Mahendran R., Thirugnanakumar S.
Multi-environment yield trials and multi-trait stability analyses are essential to identify the superior genotype. The aim of this research was to assess the adaptation and stability of rice genotypes using additive main effect and multiplicative interaction (AMMI) and genotype plus genotype by environment (GGE) biplot analysis and multi-trait stability index (MTSI). In this study, 20 rice genotypes were evaluated for three seasons at the same location during 2020–21. Based on AMMI analysis, the genotypes G22 (Vandana), G32 (IC-0098989), G34 (IC-0135769), G60 (ADT 36), G61 (ADT 37), and G64 (ADT 45) were found to have high yield and were more stable. GGE analysis revealed that the high-yielding and stable genotypes were G22 (Vandana), G34 (IC-0135769), G60 (ADT 36), and G64 (ADT 45). The genotypes G65 (ADT 48), G60 (ADT 36), G38 (IC-0135529), and G33 (IC-0124198) were observed to be stable based on the Multi Trait Stability Index (MTSI). Based on the above, G60 (ADT 36) could be concluded as stable across all seasons, not only based on yield but also other important agronomic traits.
{"title":"Detection of superior rice genotypes and yield stability using AMMI and MTSI models","authors":"Ponsiva S.T., Senthilkumar N., Vanitha J., Anandan A., Satheeskumar K., Mahendran R., Thirugnanakumar S.","doi":"10.37992/2024.1502.057","DOIUrl":"https://doi.org/10.37992/2024.1502.057","url":null,"abstract":"Multi-environment yield trials and multi-trait stability analyses are essential to identify the superior genotype. The aim of this research was to assess the adaptation and stability of rice genotypes using additive main effect and multiplicative interaction (AMMI) and genotype plus genotype by environment (GGE) biplot analysis and multi-trait stability index (MTSI). In this study, 20 rice genotypes were evaluated for three seasons at the same location during 2020–21. Based on AMMI analysis, the genotypes G22 (Vandana), G32 (IC-0098989), G34 (IC-0135769), G60 (ADT 36), G61 (ADT 37), and G64 (ADT 45) were found to have high yield and were more stable. GGE analysis revealed that the high-yielding and stable genotypes were G22 (Vandana), G34 (IC-0135769), G60 (ADT 36), and G64 (ADT 45). The genotypes G65 (ADT 48), G60 (ADT 36), G38 (IC-0135529), and G33 (IC-0124198) were observed to be stable based on the Multi Trait Stability Index (MTSI). Based on the above, G60 (ADT 36) could be concluded as stable across all seasons, not only based on yield but also other important agronomic traits.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"86 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Satender Yadav, Vikram Singh, H. Kesh, Anu Naruka, Mukesh Kumar, V. Mor, Shikha Yashveer
Heat stress is one of the major constraints in wheat production due to its adverse effect on grain yield and component traits. Moreover, it negatively affects the physiological, biochemical and quality traits of wheat. Therefore, selection of heat tolerant wheat lines is one of the major breeding goals for wheat scientist. In present study, 238 recombinant inbred lines were evaluated along with their parents WH 711 × WH 542 under timely and late sown (heat stress) condition. The heat tolerance indices were calculated based on grain yield under normal and stress conditions. The mean grain yield of 238 wheat lines was reduced by 20.54% suggesting critical effect of heat stress on grain yield. The harmonic mean (HM), stress tolerance index (STI), mean productivity (MP), geometric mean productivity (GMP), and mean relative performance (MRP) were correlated significantly and positively with grain yield under stress and normal conditions. Whereas, Tolerance index (TOL) was correlated negatively with grain yield under stress conditions and positively under normal condition. Based on STI, MP, HM, GMP and MRP, wheat lines WL 92, WL 119, WL 114, WL 110, WL 6 were identified as heat tolerant and could be utilized as potential lines for increasing heat stress tolerance of future wheat breeding programs.
{"title":"Morpho-physiological characterization and selection of heat tolerant wheat lines using selection indices","authors":"Satender Yadav, Vikram Singh, H. Kesh, Anu Naruka, Mukesh Kumar, V. Mor, Shikha Yashveer","doi":"10.37992/2024.1502.056","DOIUrl":"https://doi.org/10.37992/2024.1502.056","url":null,"abstract":"Heat stress is one of the major constraints in wheat production due to its adverse effect on grain yield and component traits. Moreover, it negatively affects the physiological, biochemical and quality traits of wheat. Therefore, selection of heat tolerant wheat lines is one of the major breeding goals for wheat scientist. In present study, 238 recombinant inbred lines were evaluated along with their parents WH 711 × WH 542 under timely and late sown (heat stress) condition. The heat tolerance indices were calculated based on grain yield under normal and stress conditions. The mean grain yield of 238 wheat lines was reduced by 20.54% suggesting critical effect of heat stress on grain yield. The harmonic mean (HM), stress tolerance index (STI), mean productivity (MP), geometric mean productivity (GMP), and mean relative performance (MRP) were correlated significantly and positively with grain yield under stress and normal conditions. Whereas, Tolerance index (TOL) was correlated negatively with grain yield under stress conditions and positively under normal condition. Based on STI, MP, HM, GMP and MRP, wheat lines WL 92, WL 119, WL 114, WL 110, WL 6 were identified as heat tolerant and could be utilized as potential lines for increasing heat stress tolerance of future wheat breeding programs.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"64 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An investigation was carried out with 101 finger millet genotypes for assessment of genetic variability and heritability in four environments during Kharif 2021. Variation due to genotypes for all the traits under study was found significant suggesting high amount of variability among different genotypes for different traits providing ample scope for selection and further evaluation as well as improvement in the seed yield and its component traits. Grain yield per plant (g) had moderate heritability estimates along with high genetic advance expressed as per cent of mean which implied that the character is controlled by genes having additive nature. High heritability combined with high genetic advance expressed as per cent of mean was noted for the characters viz., main ear head length, finger length, 1000-seed weight, protein content, calcium content, iron content and zinc content. Simple selection for such characters would be rewarding.
{"title":"Genetic variability, heritability and genetic advance in finger millet (Eleusine coracana L.) genotypes","authors":"Ujjaval Patel, Harshal E. Patil, Vipul Parekh, Gopal Vadodaria, Alok Shrivastava","doi":"10.37992/2024.1502.058","DOIUrl":"https://doi.org/10.37992/2024.1502.058","url":null,"abstract":"An investigation was carried out with 101 finger millet genotypes for assessment of genetic variability and heritability in four environments during Kharif 2021. Variation due to genotypes for all the traits under study was found significant suggesting high amount of variability among different genotypes for different traits providing ample scope for selection and further evaluation as well as improvement in the seed yield and its component traits. Grain yield per plant (g) had moderate heritability estimates along with high genetic advance expressed as per cent of mean which implied that the character is controlled by genes having additive nature. High heritability combined with high genetic advance expressed as per cent of mean was noted for the characters viz., main ear head length, finger length, 1000-seed weight, protein content, calcium content, iron content and zinc content. Simple selection for such characters would be rewarding.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"66 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sandhyarani Das, D. Lenka, D. Swain, S. Tripathy, Bandita Jena, Manas Dash, L. Muduli, Abinash Mishra, Bagchi T.B.
Development of rice genotypes possessing high yielding potential; with increased grain iron content is the need of the hour to tackle hidden hunger. Considering the above said fact, genetical analysis was conducted in six improved cultivars along with 15 potential crosses thereof. Analysis of variance for combining ability revealed significant differences in GCA and SCA variances for grain yield as well as for iron and zinc content, indicating the possibility of realization of development of iron fortified varieties with higher yielding potential. The preponderance of additive gene action for these two important characters i.e., iron and zinc content indicate that selection will be highly rewarding for genetic improvement pertaining to these two traits. The genotype Gouri was found to be very good combiner for both grain yield (0.93) and iron content of grain (2.04). Similarly, genotype Sebati was found as a very good combiner for both grain yield (0.13) and zinc content of grain (0.65). Some of the superior crosses identified concerning both grain yield and grain iron content were Birupa / Pradeep, Sebati / Gouri, Sebati / Pratap, Gouri / Pradeep and Pratap / Pradeep. Hence, these specific crosses can be used in further breeding programme for the improvement of both grain yield as well as grain iron content. The crosses viz., Bhanja / Pratap and Bhanja / Sebati were found to be superior crosses for both grain yield and grain zinc content.
{"title":"Gene action and heterosis studies for grain Fe and Zn content in rice (Oryza sativa L.)","authors":"Sandhyarani Das, D. Lenka, D. Swain, S. Tripathy, Bandita Jena, Manas Dash, L. Muduli, Abinash Mishra, Bagchi T.B.","doi":"10.37992/2024.1502.064","DOIUrl":"https://doi.org/10.37992/2024.1502.064","url":null,"abstract":"Development of rice genotypes possessing high yielding potential; with increased grain iron content is the need of the hour to tackle hidden hunger. Considering the above said fact, genetical analysis was conducted in six improved cultivars along with 15 potential crosses thereof. Analysis of variance for combining ability revealed significant differences in GCA and SCA variances for grain yield as well as for iron and zinc content, indicating the possibility of realization of development of iron fortified varieties with higher yielding potential. The preponderance of additive gene action for these two important characters i.e., iron and zinc content indicate that selection will be highly rewarding for genetic improvement pertaining to these two traits. The genotype Gouri was found to be very good combiner for both grain yield (0.93) and iron content of grain (2.04). Similarly, genotype Sebati was found as a very good combiner for both grain yield (0.13) and zinc content of grain (0.65). Some of the superior crosses identified concerning both grain yield and grain iron content were Birupa / Pradeep, Sebati / Gouri, Sebati / Pratap, Gouri / Pradeep and Pratap / Pradeep. Hence, these specific crosses can be used in further breeding programme for the improvement of both grain yield as well as grain iron content. The crosses viz., Bhanja / Pratap and Bhanja / Sebati were found to be superior crosses for both grain yield and grain zinc content.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"46 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The degree of association between yield and its components can be identified using correlation and Principal Component Analyses (PCA). PCA also reveals key characteristics that explain most of the differences between genotypes. A study was formulated to evaluate the relationship between yield and its contributing traits in cucumber. The experiment was conducted with 16 cucumber genotypes in a Randomized Complete Block Design, with three replications. The correlation analysis revealed a strong and statistically significant relationship in number of pistillate flowers (r = 0.58**), number of branches (r = 0.43**), vine length (r = 0.69**), number of leaves (r = 0.73**), leaf area (r = 0.70**), number of fruits (r = 0.91**), fruit length (r = 0.40**), fruit girth (r = 0.39**), and fruit weight (r = 0.74**) with fruit yield. PCA revealed that PC1 accounted for 51.53% of the total variation, while PC2 explained 13.91% of the total variability. This study demonstrated that choosing traits such as number of pistillate flowers, number of branches, vine length, number of leaves, leaf area, number of fruits, fruit length, fruit girth, and fruit weight that have a strong positive correlation with fruit yield could be given priority in selection for yield improvement.
{"title":"Principal component and correlation analyses study on fruit yield in cucumber (Cucumis sativus L.) genotypes","authors":"Umeh O.A., Umeh I.S., Ulasi J.I., Keyagha E.R., Cookey C.O.","doi":"10.37992/2024.1502.065","DOIUrl":"https://doi.org/10.37992/2024.1502.065","url":null,"abstract":"The degree of association between yield and its components can be identified using correlation and Principal Component Analyses (PCA). PCA also reveals key characteristics that explain most of the differences between genotypes. A study was formulated to evaluate the relationship between yield and its contributing traits in cucumber. The experiment was conducted with 16 cucumber genotypes in a Randomized Complete Block Design, with three replications. The correlation analysis revealed a strong and statistically significant relationship in number of pistillate flowers (r = 0.58**), number of branches (r = 0.43**), vine length (r = 0.69**), number of leaves (r = 0.73**), leaf area (r = 0.70**), number of fruits (r = 0.91**), fruit length (r = 0.40**), fruit girth (r = 0.39**), and fruit weight (r = 0.74**) with fruit yield. PCA revealed that PC1 accounted for 51.53% of the total variation, while PC2 explained 13.91% of the total variability. This study demonstrated that choosing traits such as number of pistillate flowers, number of branches, vine length, number of leaves, leaf area, number of fruits, fruit length, fruit girth, and fruit weight that have a strong positive correlation with fruit yield could be given priority in selection for yield improvement.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"124 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rubby Sandhu, Bikram Singh, A. Kour, Delvadiya I.R., Shweta Sharma
Stripe Rust, caused by Puccinia striiformis Westend f. sp. tritici , is an important fungal disease of wheat worldwide. In this study, 41 wheat genotypes from various institutes across India were screened for adult plant resistance (APR) in field trials, and the presence of effective stripe rust resistance genes was evaluated in the laboratory using ten molecular markers.The bread wheat variety Agra local was used as a susceptible control. Molecular characterization studies revealed that the gene Yr 2 was found in 29 entries, Yr5 in 15 entries, Yr9 in 7 entries, Yr10 in 18 entries, Yr15 in 18 entries, Yr17 in 12 entries, Yr18 in 29 entries, Yr36 in 21 entries, Yr40 in 31 entries while Yr65 was absent in all the entries. The genotypes PBW780 and High Rainfall Wheat Screening Nursery (HRWSN) line 2105 had seven Yr genes conferring resistant phenotypes, suggesting that these were excellent sources of effectual stripe rust resistance. The coefficient of infection showed adequate genotypic variations for rust severity, 41 genotypes showed year-specific responses, suggesting strong G × E interactions.
{"title":"Screening of bread wheat genotypes for identification of novel stripe rust resistance genes using molecular markers","authors":"Rubby Sandhu, Bikram Singh, A. Kour, Delvadiya I.R., Shweta Sharma","doi":"10.37992/2024.1502.054","DOIUrl":"https://doi.org/10.37992/2024.1502.054","url":null,"abstract":"Stripe Rust, caused by Puccinia striiformis Westend f. sp. tritici , is an important fungal disease of wheat worldwide. In this study, 41 wheat genotypes from various institutes across India were screened for adult plant resistance (APR) in field trials, and the presence of effective stripe rust resistance genes was evaluated in the laboratory using ten molecular markers.The bread wheat variety Agra local was used as a susceptible control. Molecular characterization studies revealed that the gene Yr 2 was found in 29 entries, Yr5 in 15 entries, Yr9 in 7 entries, Yr10 in 18 entries, Yr15 in 18 entries, Yr17 in 12 entries, Yr18 in 29 entries, Yr36 in 21 entries, Yr40 in 31 entries while Yr65 was absent in all the entries. The genotypes PBW780 and High Rainfall Wheat Screening Nursery (HRWSN) line 2105 had seven Yr genes conferring resistant phenotypes, suggesting that these were excellent sources of effectual stripe rust resistance. The coefficient of infection showed adequate genotypic variations for rust severity, 41 genotypes showed year-specific responses, suggesting strong G × E interactions.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"107 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pushpa M. Aralikatti, Manjula S. Maralappanavar, Lakshmi Gangavati, Shobha U. Immadi, Patil S. B.
UASD Bt cotton Event-78 based early segregating generations (F2 & F3) derived from three diverse crosses were evaluated for field incidence of cotton leaf hopper during kharif-2021 & 2022 at Agricultural Research Station, UAS, Dharwad. A total 600 F2 plants from the crosses viz., UASD Bt-78 х DHS-29, UASDBt-78 х Suvin and Suvin х UASD Bt-78 were screened of which 103,100 and 102 plants respective to the three crosses were found to be resistant. The segregation of F2 population for the jassid tolerance deciphered the implicit “Inhibitory epistasis” mechanism of host plant resistance. Further evaluation of F3 families of these crosses leads to identification of 103 resistant lines from all the three crosses, the mean leafhopper population ranges from 0.67- 2.67 leafhoppers / 3 leaves with the LHRI score of 1.
{"title":"Field evaluation of UASD Bt-cotton Event-78 based early segregating generations for cotton leaf hopper","authors":"Pushpa M. Aralikatti, Manjula S. Maralappanavar, Lakshmi Gangavati, Shobha U. Immadi, Patil S. B.","doi":"10.37992/2024.1502.062","DOIUrl":"https://doi.org/10.37992/2024.1502.062","url":null,"abstract":"UASD Bt cotton Event-78 based early segregating generations (F2 & F3) derived from three diverse crosses were evaluated for field incidence of cotton leaf hopper during kharif-2021 & 2022 at Agricultural Research Station, UAS, Dharwad. A total 600 F2 plants from the crosses viz., UASD Bt-78 х DHS-29, UASDBt-78 х Suvin and Suvin х UASD Bt-78 were screened of which 103,100 and 102 plants respective to the three crosses were found to be resistant. The segregation of F2 population for the jassid tolerance deciphered the implicit “Inhibitory epistasis” mechanism of host plant resistance. Further evaluation of F3 families of these crosses leads to identification of 103 resistant lines from all the three crosses, the mean leafhopper population ranges from 0.67- 2.67 leafhoppers / 3 leaves with the LHRI score of 1.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"44 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141664829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vikrant Singh, S. K. Mishra, Barun Bishwas, Kuldeep Singh
Sugarcane cultivation is targeted with early varieties having stable higher CCS (commercial cane sugar) yield potential. Therefore, studies were made on 18 traits over three years (2016-19) with seven genotypes at Regional Research Station, PAU, Faridkot. Different multivariate statistical techniques were used for assessing the potential of CCS contributing traits and clonal stability. The observed significant differences due to varieties, years and their interactions were self explaining the role of genotypic differences and weather factors. Cane yield t/ha (CY), CCS t/ha (CCS.T) and their contributing traits were positively loaded on different axes in principal component analyses (PCA). Single cane weight (SCW) was observed to be the primary contributing trait for CY; while brix % and sucrose % for CCS %, and CY for CCS.T were the major contributing traits. CoPb 13181 was observed the most suitable clone for the region. Further, Eberhart & Russell’s model was found more appropriate for judging the genotype(s) to environment specificity while “GGE Biplot” was best to evaluate the environments for their discriminating power to genotypes.
{"title":"Evaluation of early maturing sugarcane (Saccharum spp. complex) clones for sugar yield and its contributing traits and stability","authors":"Vikrant Singh, S. K. Mishra, Barun Bishwas, Kuldeep Singh","doi":"10.37992/2024.1502.055","DOIUrl":"https://doi.org/10.37992/2024.1502.055","url":null,"abstract":"Sugarcane cultivation is targeted with early varieties having stable higher CCS (commercial cane sugar) yield potential. Therefore, studies were made on 18 traits over three years (2016-19) with seven genotypes at Regional Research Station, PAU, Faridkot. Different multivariate statistical techniques were used for assessing the potential of CCS contributing traits and clonal stability. The observed significant differences due to varieties, years and their interactions were self explaining the role of genotypic differences and weather factors. Cane yield t/ha (CY), CCS t/ha (CCS.T) and their contributing traits were positively loaded on different axes in principal component analyses (PCA). Single cane weight (SCW) was observed to be the primary contributing trait for CY; while brix % and sucrose % for CCS %, and CY for CCS.T were the major contributing traits. CoPb 13181 was observed the most suitable clone for the region. Further, Eberhart & Russell’s model was found more appropriate for judging the genotype(s) to environment specificity while “GGE Biplot” was best to evaluate the environments for their discriminating power to genotypes.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"56 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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