14 extractive question-and-answer pairs built from Assessment of genetic variability, inter trait relationship and principal component analysis for yield and yield related attributes in bitter gourd (Momordica charantia L.) | The Indian Journal of Agricultural Sciences, published by epubs.icar.org.in. Source-evidenced topics include genetic variability, inter trait relationship, principal component analysis, bitter gourd, momordica charantia l., randomized block design (rbd), broad-sense heritability, genetic advance. Every answer is a verbatim span of text the source prints, and each row carries the passage it sits in, its offset in that passage, the source quote, the page and the location in the document, so any row can be checked against the original. Question types in the export: 6 list, 5 factual, 2 relationship, 1 summary. 9 of the 14 pairs (64.3%) ask explanatory questions; the remaining 5 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains 14 question-and-answer pairs derived from a study on genetic variability, inter-trait relationships, and principal component analysis in bitter gourd (Momordica charantia L.). The research evaluates 32 genotypes using Randomized Block Design (RBD) and identifies traits and genotypes suitable for crop improvement. Key findings include the role of environmental influence on phenotypic variation and the identification of high-yielding genotypes. The dataset also includes metadata about the journal's indexing platforms and licensing requirements.
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import desidata
df = desidata.load("epubs-icar-org-in-10febd8e756ed1f2f7f2509969954c87")
df.head()First 10 of 14 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What is a requirement for using material from The Indian Journal of Agricultural Sciences? | proper credit is given to ICAR | This work is licensed under aCreative Commons Attribution-NonCommercial-NoDerivatives 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 592 | relationship | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. | p[37] | 0.700 | valid | |
| What do the results of the principal component analysis provide for the enhancement of bitter gourd? | valuable insights in improving yield and quality in bitter gourd | The principal component analysis compressed the variability into eight components with first three components explaining 62.85% variability. The genotypes G6 (IC-50520), G9 (IC-264880) and G25(IC-256206-3) were in close proximity to yield-related trait vectors, explaining these genotypes are good yielders and directly selected for crop improvement. These findings offer valuable insights in improving yield and quality in bitter gourd. PhD Scholar, | 372 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | These findings offer valuable insights in improving yield and quality in bitter gourd. | p[0] | 0.700 | valid | |
| What does a higher phenotypic coefficient of variation compared to genotypic coefficient of variation suggest? | slight environmental influence | To assess genetic variability, association studies, and begomovirus resistance of bitter gourd genotypes, researchers evaluated 32 diverse genotypes by Randomized Block Design (RBD) in two replications. Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) indicating slight environmental influence. Higher PCV and GCV for traits such as fruit yield per vine, average fruit weight and peduncle length were observed, suggesting a broad genetic base conducive to selection. High broad-sense heritability and genetic advance were present in average fruit weight and fruit yield per plant, making them ideal for phenotypic selection. Correlation and path analysis identified branches per plant, average fruit weight and fruit diameter as significant contributors to fruit yield. | 306 | relationship | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) indicating slight environmental influence. | p[0] | 0.700 | ||
| Which genotypes of bitter gourd were identified as high yielders and suitable for crop improvement? | G6 (IC-50520), G9 (IC-264880) and G25(IC-256206-3) | The principal component analysis compressed the variability into eight components with first three components explaining 62.85% variability. The genotypes G6 (IC-50520), G9 (IC-264880) and G25(IC-256206-3) were in close proximity to yield-related trait vectors, explaining these genotypes are good yielders and directly selected for crop improvement. These findings offer valuable insights in improving yield and quality in bitter gourd. PhD Scholar, | 155 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | The genotypes G6 (IC-50520), G9 (IC-264880) and G25(IC-256206-3) were in close proximity to yield-related trait vectors, explaining these genotypes are good yielders and directly selected for crop improvement. | p[0] | 0.700 | valid | |
| Which indexing platforms include The Indian Journal of Agricultural Sciences? | Elsevier Scopus, Clarivate Analytics ESCI, DOAJ | This work is licensed under aCreative Commons Attribution-NonCommercial-NoDerivatives 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 730 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | ||||
| Which traits in bitter gourd genotypes exhibited higher coefficients of variation? | fruit yield per vine, average fruit weight and peduncle length | To assess genetic variability, association studies, and begomovirus resistance of bitter gourd genotypes, researchers evaluated 32 diverse genotypes by Randomized Block Design (RBD) in two replications. Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) indicating slight environmental influence. Higher PCV and GCV for traits such as fruit yield per vine, average fruit weight and peduncle length were observed, suggesting a broad genetic base conducive to selection. High broad-sense heritability and genetic advance were present in average fruit weight and fruit yield per plant, making them ideal for phenotypic selection. Correlation and path analysis identified branches per plant, average fruit weight and fruit diameter as significant contributors to fruit yield. | 376 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | Higher PCV and GCV for traits such as fruit yield per vine, average fruit weight and peduncle length were observed, suggesting a broad genetic base conducive to selection. | p[0] | |||
| Which traits were deemed suitable for phenotypic selection due to their genetic characteristics? | average fruit weight and fruit yield per plant | To assess genetic variability, association studies, and begomovirus resistance of bitter gourd genotypes, researchers evaluated 32 diverse genotypes by Randomized Block Design (RBD) in two replications. Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) indicating slight environmental influence. Higher PCV and GCV for traits such as fruit yield per vine, average fruit weight and peduncle length were observed, suggesting a broad genetic base conducive to selection. High broad-sense heritability and genetic advance were present in average fruit weight and fruit yield per plant, making them ideal for phenotypic selection. Correlation and path analysis identified branches per plant, average fruit weight and fruit diameter as significant contributors to fruit yield. | 576 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | High broad-sense heritability and genetic advance were present in average fruit weight and fruit yield per plant, making them ideal for phenotypic selection. | p[0] | |||
| Which traits were identified as significant contributors to fruit yield in bitter gourd genotypes? | branches per plant, average fruit weight and fruit diameter | To assess genetic variability, association studies, and begomovirus resistance of bitter gourd genotypes, researchers evaluated 32 diverse genotypes by Randomized Block Design (RBD) in two replications. Phenotypic coefficient of variation (PCV) exceeded genotypic coefficient of variation (GCV) indicating slight environmental influence. Higher PCV and GCV for traits such as fruit yield per vine, average fruit weight and peduncle length were observed, suggesting a broad genetic base conducive to selection. High broad-sense heritability and genetic advance were present in average fruit weight and fruit yield per plant, making them ideal for phenotypic selection. Correlation and path analysis identified branches per plant, average fruit weight and fruit diameter as significant contributors to fruit yield. | 709 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | Correlation and path analysis identified branches per plant, average fruit weight and fruit diameter as significant contributors to fruit yield. | p[0] | |||
| What are the print and online ISSNs of The Indian Journal of Agricultural Sciences? | Print ISSN:0019-5022Online ISSN:2394-3319 | This work is licensed under aCreative Commons Attribution-NonCommercial-NoDerivatives 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 624 | list | 0.740 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. | ||||
| What organization holds the copyright for articles published in The Indian Journal of Agricultural Sciences? | Indian Council of Agricultural Research | This work is licensed under aCreative Commons Attribution-NonCommercial-NoDerivatives 4. International License. The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR. Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | 216 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/178268 | The copyright of the articles published inThe Indian Journal of Agricultural Sciencesis vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. |
Read straight from the file — download or use the API URL for the full dataset.
| valid |
| p[37] |
| 0.700 |
| valid |
| 0.700 |
| valid |
| 0.700 |
| valid |
| 0.700 |
| valid |
| p[37] |
| 0.700 |
| valid |
| p[37] |
| 0.700 |
| valid |