10 extractive question-and-answer pairs built from Application of non-destructive imaging techniques to evaluate cold tolerance in French marigold (Tagetes patula) genotypes | The Indian Journal of Agricultural Sciences, published by epubs.icar.org.in. Source-evidenced topics include non-destructive imaging techniques, cold tolerance, french marigold, tagetes patula, infrared (ir) imaging, plant traits, plant area, greenness. 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: 4 factual, 2 list, 2 summary, 1 definition, 1 relationship. 6 of the 10 pairs (60.0%) ask explanatory questions; the remaining 4 are factual or table-based questions. 90.00% of rows pass the corpus quality gate.
This dataset includes 10 question-and-answer pairs derived from a study on non-destructive imaging techniques for evaluating cold tolerance in French marigold (Tagetes patula) genotypes. The research utilized imaging methods such as RGB, NIR, and IR to assess plant traits like area, greenness, water content, and temperature. It also examined the impact of cold stress on plant compactness and other morpho-physiological parameters. The study was conducted during the rabi seasons of 2021–22 and 2022–23 at the ICAR-Indian Agricultural Research Institute in New Delhi.
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import desidata
df = desidata.load("epubs-icar-org-in-df232db48fe28bb199b2729a8191f857")
df.head()First 10 of 10 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What is one use of non-destructive image-based phenotyping in marigold breeding? | screening for cold tolerance in marigold breeding programmes | These findings underscore the potential of non-destructive image-based phenotyping as an efficient tool in screening for cold tolerance in marigold breeding programmes, offering a viable and precise alternative to traditional screening methods for accelerated cultivar development. | 107 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | These findings underscore the potential of non-destructive image-based phenotyping as an efficient tool in screening for cold tolerance in marigold breeding programmes, offering a viable and precise alternative to traditional screening methods for accelerated cultivar development. | p[0] | 0.700 | valid | |
| What type of experimental design was implemented? | complete randomized design (CRD) | The experiment was laid out in a complete randomized design (CRD) with two factors (genotype and environment) and three replications, with 18 plants/environment and 6 plants/replication. | 33 | definition | 0.900 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | The experiment was laid out in a complete randomized design (CRD) with two factors (genotype and environment) and three replications, with 18 plants/environment and 6 plants/replication. | p[0] | 0.700 | valid | |
| How did cold stress impact plant compactness compared to the polyhouse environment? | compactness by 2.10-fold | Comparative analysis revealed that cold stress significantly impacted morpho-physiological parameters: Plant area decreased by 1.38-fold, caliper length by 1.07-fold, and compactness by 2.10-fold compared to the polyhouse environment. Convex hull area and circumference were reduced by 1.22-fold and 1.05-fold, respectively. | 171 | relationship | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Comparative analysis revealed that cold stress significantly impacted morpho-physiological parameters: Plant area decreased by 1.38-fold, caliper length by 1.07-fold, and compactness by 2.10-fold compared to the polyhouse environment. | p[0] | 0.700 | valid | |
| Which morpho-physiological parameter showed the greatest reduction under open field conditions compared to controlled conditions? | plant compactness | greenness and plant temperature decreased by approximately 1.03-fold, roundness by 2.07-fold, and plant water content by 1.44-fold. Statistical analysis revealed that open field conditions significantly decreased all measured morpho-physiological parameters, with plant compactness showing the greatest reduction compared to controlled conditions. | 264 | summary | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Statistical analysis revealed that open field conditions significantly decreased all measured morpho-physiological parameters, with plant compactness showing the greatest reduction compared to controlled conditions. | p[0] | 0.700 | valid | |
| What traits were quantitatively assessed using image-based phenotyping techniques? | plant area, greenness, water content, and temperature | Climate change-induced erratic weather patterns necessitate the development of cold-tolerant marigold cultivars for sustainable floricultural production. The present study was carried out during winter (rabi) season 2021–22 and 2022–23 at ICAR-Indian Agricultural Research Institute, New Delhi to evaluate the efficacy of high-throughput, non-destructive image-based phenotyping techniques, including Red-Green-Blue (RGB), Near-Infrared (NIR), and Infrared (IR) imaging, for quantitative assessment of essential plant traits such as plant area, greenness, water content, and temperature. Ten French marigold (Tagetes patulaL.) genotypes (Pusa Deep, Pusa Arpita, Dainty Marietta, Valencia Yellow, Orange Winner, Hisar Beauty, Hisar Jafri, Gulzafri Orange, Fr./W-20, Fr./W-21) were evaluated. | 533 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | The present study was carried out during winter (rabi) season 2021–22 and 2022–23 at ICAR-Indian Agricultural Research Institute, New Delhi to evaluate the efficacy of high-throughput, non-destructive image-based phenotyping techniques, including Red-Green-Blue (RGB), Near-Infrared (NIR), and Infrared (IR) imaging, for quantitative assessment of essential plant traits such as plant area, greenness, water content, and temperature. | ||||
| Which platforms index The Indian Journal of Agricultural Sciences? | Elsevier Scopus, Clarivate Analytics ESCI, DOAJ. | 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. | 727 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | ||||
| Who 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/156579 | 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 is the NAAS Rating of The Indian Journal of Agricultural Sciences for the year 2026? | 6.7 | 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. | 681 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. | p[27] | 0.700 | ||
| What is the online ISSN number for The Indian Journal of Agricultural Sciences? | 2394-3319 | 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. | 653 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. | p[27] | 0.700 | ||
| What is the print ISSN number for The Indian Journal of Agricultural Sciences? | 0019-5022 | 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. | 632 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/156579 | Print ISSN:0019-5022Online ISSN:2394-3319NAAS Rating (2026):6.7WoS Impact Factor (June 2026):0. | p[27] | 0.700 |
Read straight from the file — download or use the API URL for the full dataset.
| p[0] |
| 0.700 |
| valid |
| p[27] |
| 0.700 |
| valid |
| p[27] |
| 0.700 |
| valid |
| valid |
| valid |
| valid |