12 extractive question-and-answer pairs built from Assessing effectiveness of drought tolerance indices in selecting grape (Vitis vinifera) under induced drought stress conditions | The Indian Journal of Agricultural Sciences, published by epubs.icar.org.in. Source-evidenced topics include drought tolerance indices, grape, vitis vinifera, induced drought stress, icar-indian agricultural research institute, pusa navrang, pusa aditi, pusa trisha. 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: 9 factual, 1 definition, 1 list, 1 summary. 3 of the 12 pairs (25.0%) ask explanatory questions; the remaining 9 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset contains 12 extractive question-and-answer pairs derived from a study on drought tolerance indices in grape (Vitis vinifera) genotypes under induced drought stress. Conducted at the ICAR-Indian Agricultural Research Institute, the research evaluated 10 grape genotypes under controlled moisture stress and well-watered conditions. Key findings include the identification of predictive indices for drought tolerance and genotype-specific responses to stress, such as variations in root-to-shoot ratios and plant height reductions.
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df = desidata.load("epubs-icar-org-in-128ef284eacd94fcae45ed78b78bc93a")
df.head()First 10 of 12 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What method was used to validate the drought-tolerant genotypes? | multivariate stability trait index analysis | The above-identified genotypes were validated through multivariate stability trait index analysis outlining their utility as donor parents/rootstocks. In conclusion, the study underscores genetic diversities as pivotal in determining drought tolerance in grape genotypes. It has generated valuable insights for selecting drought-resistant genotypes which could contribute to sustainable viticulture under the changing climate situations. Akcura M and Ceri S. 2011. Evaluation of drought tolerance indices for selection of Turkish oat (Avena sativa L.) landraces under various environmental conditions. Zemdirbyste-Agriculture 98(2): 157–66. | 54 | definition | 1.000 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | The above-identified genotypes were validated through multivariate stability trait index analysis outlining their utility as donor parents/rootstocks. | p[0] | 0.700 | valid | |
| Under what conditions were the grape genotypes studied? | controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions | The present study was carried out during 2021–23 at ICAR-Indian Agricultural Research Institute, New Delhi, focusing on 10 diverse grape (VitisviniferaL.) genotypes [Pusa Navrang (PN), Pusa Aditi (PA), Pusa Trisha (PT), Pusa Swarnika (PS), Pusa Purple Seedless (PPS), Flame Seedless (FS), St. George (SG), Dog Ridge (DR),V. parviflora(VP), and Male Hybrid (MH)] for their response to controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions. Drought decreased plant height differently among genotypes (9.71–41.68%). Dogridge had the highest root: shoot ratio (0.79), St. George showed lower (0.44) in response to drought. | 384 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | parviflora(VP), and Male Hybrid (MH)] for their response to controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions. | p[0] | 0.700 | ||
| Which indices were highlighted as predictive for drought tolerance? | drought resistance index (DI), mean relative performance (MRP), stress tolerance index (STI) and relative efficiency index (REI) | Drought tolerance indices identified genotypesVitis parviflora(VP), Pusa Navrang (PN), Male Hybrid (MH) and Dogridge (Vitis × champini) (DR) as more drought-tolerant, while Pusa Trishar (PT) and Flame Seedless (FS) were susceptible. Cluster analysis showcased distinct differences among genotypes, while principal component analysis (PCA) emphasized key indices predicting performance in varying conditions with 98.91% variance for plant height and 99.10% variance for index root: shoot ratio contributed from two primary principal components (PC1 and PC2). Correlations (P<0.001) highlighted the predictive value of specific indices, like the drought resistance index (DI), mean relative performance (MRP), stress tolerance index (STI) and relative efficiency index (REI) for drought tolerance. | 644 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Correlations (P<0.001) highlighted the predictive value of specific indices, like the drought resistance index (DI), mean relative performance (MRP), stress tolerance index (STI) and relative efficiency index (REI) for drought tolerance. | ||||
| Which 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-ShareAlike 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. | 213 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | 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. | ||||
| What tool is used for plagiarism checks in The Indian Journal of Agricultural Sciences? | iThenticate | This work is licensed under aCreative Commons Attribution-NonCommercial-ShareAlike 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. | 794 | factual | 0.490 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | p[36] | |||
| Which grape genotype had the highest root-to-shoot ratio under drought conditions? | Dogridge | The present study was carried out during 2021–23 at ICAR-Indian Agricultural Research Institute, New Delhi, focusing on 10 diverse grape (VitisviniferaL.) genotypes [Pusa Navrang (PN), Pusa Aditi (PA), Pusa Trisha (PT), Pusa Swarnika (PS), Pusa Purple Seedless (PPS), Flame Seedless (FS), St. George (SG), Dog Ridge (DR),V. parviflora(VP), and Male Hybrid (MH)] for their response to controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions. Drought decreased plant height differently among genotypes (9.71–41.68%). Dogridge had the highest root: shoot ratio (0.79), St. George showed lower (0.44) in response to drought. | 583 | factual | 0.490 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Drought decreased plant height differently among genotypes (9.71–41.68%). Dogridge had the highest root: shoot ratio (0.79), St. | p[0] | 0.700 | valid | |
| Which grape genotype had the lowest root-to-shoot ratio under drought conditions? | St. George | The present study was carried out during 2021–23 at ICAR-Indian Agricultural Research Institute, New Delhi, focusing on 10 diverse grape (VitisviniferaL.) genotypes [Pusa Navrang (PN), Pusa Aditi (PA), Pusa Trisha (PT), Pusa Swarnika (PS), Pusa Purple Seedless (PPS), Flame Seedless (FS), St. George (SG), Dog Ridge (DR),V. parviflora(VP), and Male Hybrid (MH)] for their response to controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions. Drought decreased plant height differently among genotypes (9.71–41.68%). Dogridge had the highest root: shoot ratio (0.79), St. George showed lower (0.44) in response to drought. | 289 | factual | 0.490 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | The present study was carried out during 2021–23 at ICAR-Indian Agricultural Research Institute, New Delhi, focusing on 10 diverse grape (VitisviniferaL.) genotypes [Pusa Navrang (PN), Pusa Aditi (PA), Pusa Trisha (PT), Pusa Swarnika (PS), Pusa Purple Seedless (PPS), Flame Seedless (FS), St. George (SG), Dog Ridge (DR),V. | p[0] | |||
| What percentage of variance in plant height was explained by principal component analysis? | 98.91% | Drought tolerance indices identified genotypesVitis parviflora(VP), Pusa Navrang (PN), Male Hybrid (MH) and Dogridge (Vitis × champini) (DR) as more drought-tolerant, while Pusa Trishar (PT) and Flame Seedless (FS) were susceptible. Cluster analysis showcased distinct differences among genotypes, while principal component analysis (PCA) emphasized key indices predicting performance in varying conditions with 98.91% variance for plant height and 99.10% variance for index root: shoot ratio contributed from two primary principal components (PC1 and PC2). Correlations (P<0.001) highlighted the predictive value of specific indices, like the drought resistance index (DI), mean relative performance (MRP), stress tolerance index (STI) and relative efficiency index (REI) for drought tolerance. | 412 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Cluster analysis showcased distinct differences among genotypes, while principal component analysis (PCA) emphasized key indices predicting performance in varying conditions with 98.91% variance for plant height and 99.10% variance for index root: shoot ratio contributed from two primary principal components (PC1 and PC2). | ||||
| What percentage of variance in the index root-to-shoot ratio was explained by principal component analysis? | 99.10% | Drought tolerance indices identified genotypesVitis parviflora(VP), Pusa Navrang (PN), Male Hybrid (MH) and Dogridge (Vitis × champini) (DR) as more drought-tolerant, while Pusa Trishar (PT) and Flame Seedless (FS) were susceptible. Cluster analysis showcased distinct differences among genotypes, while principal component analysis (PCA) emphasized key indices predicting performance in varying conditions with 98.91% variance for plant height and 99.10% variance for index root: shoot ratio contributed from two primary principal components (PC1 and PC2). Correlations (P<0.001) highlighted the predictive value of specific indices, like the drought resistance index (DI), mean relative performance (MRP), stress tolerance index (STI) and relative efficiency index (REI) for drought tolerance. | 449 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Cluster analysis showcased distinct differences among genotypes, while principal component analysis (PCA) emphasized key indices predicting performance in varying conditions with 98.91% variance for plant height and 99.10% variance for index root: shoot ratio contributed from two primary principal components (PC1 and PC2). | ||||
| What was the range of plant height reduction among grape genotypes due to drought? | 9.71–41.68% | The present study was carried out during 2021–23 at ICAR-Indian Agricultural Research Institute, New Delhi, focusing on 10 diverse grape (VitisviniferaL.) genotypes [Pusa Navrang (PN), Pusa Aditi (PA), Pusa Trisha (PT), Pusa Swarnika (PS), Pusa Purple Seedless (PPS), Flame Seedless (FS), St. George (SG), Dog Ridge (DR),V. parviflora(VP), and Male Hybrid (MH)] for their response to controlled moisture stress (21 days) and well-watered conditions in plastic pots (14) maintained under polyhouse conditions. Drought decreased plant height differently among genotypes (9.71–41.68%). Dogridge had the highest root: shoot ratio (0.79), St. George showed lower (0.44) in response to drought. | 569 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/146046 | Drought decreased plant height differently among genotypes (9.71–41.68%). | p[0] | 0.700 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| valid |
| p[0] |
| 0.700 |
| valid |
| p[36] |
| 0.700 |
| valid |
| 0.700 |
| valid |
| 0.700 |
| valid |
| p[0] |
| 0.700 |
| valid |
| p[0] |
| 0.700 |
| valid |