22 extractive question-and-answer pairs built from Assessment of genetic diversity in coriander (Coriandrum sativum) germplasm, published by epubs.icar.org.in. Source-evidenced topics include coriandrum sativum, genetic diversity, genetic divergence, indian journal, latest publications, principal component analysis, path analysis, seed yield. 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: 12 factual, 4 list, 4 summary, 2 relationship. 10 of the 22 pairs (45.5%) ask explanatory questions; the remaining 12 are factual or table-based questions. 90.91% of rows pass the corpus quality gate.
This dataset compiles 22 extractive question-and-answer pairs from a study on genetic diversity in coriander (Coriandrum sativum) germplasm, as published in The Indian Journal of Agricultural Sciences. The questions cover topics such as genetic variation, trait analysis, and the relationship between yield and specific plant characteristics. Each answer is sourced directly from the publication, ensuring traceability to the original text. The dataset also includes references to related studies on other crops and methodologies like principal component analysis and path analysis.
Browse more agriculture datasets, including other records from the same source when available.
Explore Agriculture datasetsAgronomic zinc biofortification of potato (Solanum tuberosum) through soil and foliar zinc sulphate application in Rajasthan | The Indian Journal of Agricultural Sciences - Question and Answer Dataset
Agriculture · 6 rows
Assessment on therapeutic value and diversity analysis in traditional rice (Oryza sativa) landraces of Tamil Nadu | The Indian Journal of Agricultural Sciences - Question and Answer Dataset
Agriculture · 13 rows
Assessment of avoidable yield losses due to insect pests and diseases in wheat (Triticum aestivum) | The Indian Journal of Agricultural Sciences - Question and Answer Dataset
Agriculture · 12 rows
Bhat (Black soybean):A sustainable choice for hill farming | Indian Farming - Question and Answer Dataset
Health · 6 rows
ICAR Annual Report 2023-24 - Question and Answer
Agriculture · 590 rows
ICAR Annual Report 2023-24 — Question and Answer Dataset
Agriculture · 590 rows
Bio-smart technologies for increasing shelf life and postharvest disease management in fruits for distant and export markets | Indian Horticulture - Question and Answer Dataset
Agriculture · 5 rows
Agricultural growth and its impact on gross state value added: An econometric analysis of major crop sectors in Haryana | The Indian Journal of Agricultural Sciences - Question and Answer Dataset
Agriculture · 9 rows
Use the API URL with your free DD token in notebooks, scripts, and pipelines.
https://www.desidata.in/api/datasets/epubs-icar-org-in-cf9789be004ea196d6406bb610850960/downloadDataset downloads are free. For Python or API downloads, sign in once and create a free DD token; set it as DD_TOKEN or save it in your notebook's secrets. Requests are linked to your account so your download history and counts stay accurate.
# One-time install: pip install desidata
# Set DD_TOKEN in your environment first (create a free token in Profile & settings).
import desidata
df = desidata.load("epubs-icar-org-in-cf9789be004ea196d6406bb610850960")
df.head()First 10 of 22 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_document | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|---|
| What kind of relationship exists between seed yield per plant and the number of seeds per umbel? | a highly significant positive relationship | High estimates of genetic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance were observed for the traits such as number of primary branches, number of secondary branches, number of umbels/plant, number of umbellets/plant, number of seeds/umbel, seed yield/plot and seed yield/plant. Correlation analysis showed a highly significant positive relationship between seed yield per plant and the number of seeds per umbel. Path analysis, however, suggested that both direct and indirect effects were relatively low, with the direct effect of the number of seeds per umbel being the most significant and positive. The genetic divergence analysis demonstrated that the accessions clustered into 10 distinct groups. Notably, cluster 4 contained highest number of accessions among all clusters, i.e. 48 and cluster 6 had only one accession. | 369 | relationship | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Correlation analysis showed a highly significant positive relationship between seed yield per plant and the number of seeds per umbel. | p[0] | 0.700 | valid | |
| Which insect was tested for fumigant and repellent effects of essential oil from Coriandrum sativum? | red flour bettle, Triboliumcastaneum (Herbst) (Coleoptera: Tenebrionidae). | Hassan S, Khuroo N S, Lone A A, Dar Z A and Dar M S. 2018. Study of variability and association analysis for various agro- morphological traits in lentil (Lens culinaris Medikus). Journal of Pharmacognosy and Phytochemistry 7: 2172–75. Hemavathy A T, Bapu J R and Priyadarshini C. 2017. Principal Component Analysis in Pigeon pea [Cajanus cajan (L.) Millsp.]. Electronic Journal of Plant Breeding 8(4): 1133–39. Islam M S, Hasan M M, Xiong W, Zhang S C and Lei C L. 2009. Fumigant and repellent activities of essential oil from Coriandrum sativum (L.) (Apiaceae) against red flour bettle, Triboliumcastaneum (Herbst) (Coleoptera: Tenebrionidae). Journal of Pesticide Science 82: 171–77. | 571 | relationship | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Fumigant and repellent activities of essential oil from Coriandrum sativum (L.) (Apiaceae) against red flour bettle, Triboliumcastaneum (Herbst) (Coleoptera: Tenebrionidae). Journal of Pesticide Science 82: 171–77. | p[11] | 0.700 | ||
| What did Hassan S and colleagues analyze in lentil? | variability and association analysis for various agro- morphological traits in lentil (Lens culinaris Medikus). | Hassan S, Khuroo N S, Lone A A, Dar Z A and Dar M S. 2018. Study of variability and association analysis for various agro- morphological traits in lentil (Lens culinaris Medikus). Journal of Pharmacognosy and Phytochemistry 7: 2172–75. Hemavathy A T, Bapu J R and Priyadarshini C. 2017. Principal Component Analysis in Pigeon pea [Cajanus cajan (L.) Millsp.]. Electronic Journal of Plant Breeding 8(4): 1133–39. Islam M S, Hasan M M, Xiong W, Zhang S C and Lei C L. 2009. Fumigant and repellent activities of essential oil from Coriandrum sativum (L.) (Apiaceae) against red flour bettle, Triboliumcastaneum (Herbst) (Coleoptera: Tenebrionidae). Journal of Pesticide Science 82: 171–77. | 68 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Study of variability and association analysis for various agro- morphological traits in lentil (Lens culinaris Medikus). Journal of Pharmacognosy and Phytochemistry 7: 2172–75. | p[11] | 0.700 | valid | |
| What did Kamali R and colleagues investigate about coriander leaf powder? | nutritional composition of coriander leaf powder as influenced by different drying methods. | Kamali R, Senthamizh S B, Shoba N and Meenakshi P. 2019. Studies on nutritional composition of coriander leaf powder as influenced by different drying methods. International Journal of Chemical Studies 7(3): 1711–14. Krishna M V, Sivakumar S, Sivasamy M, Jayaprakash P, Senthil N, Iyanar K, Meenakumari B, Nisha R and Shajitha P. 2022. Morphological diversity and genetic variability in wheat (Triticum aestivum L.) genotypes in the southern hills zone. Pharma Innovation 11(7): 2722–30. Kumar S, Singh J P, Singh D, Tiwari A and Singh R K. 2012. Character association for seed yield improvement in coriander (Coriandrum sativum). (In) Proceedings of the National Seminar on Harnessing Seed Spices for better socio-economic well being held at Ajmer, pp.126. Kumar A, Gill R K and Singh M. 2020. | 68 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Studies on nutritional composition of coriander leaf powder as influenced by different drying methods. International Journal of Chemical Studies 7(3): 1711–14. | p[15] | |||
| What type of analysis did Hemavathy A T, Bapu J R, and Priyadarshini C perform on pigeon pea? | Principal Component Analysis in Pigeon pea [Cajanus cajan (L.) Millsp.]. | Hassan S, Khuroo N S, Lone A A, Dar Z A and Dar M S. 2018. Study of variability and association analysis for various agro- morphological traits in lentil (Lens culinaris Medikus). Journal of Pharmacognosy and Phytochemistry 7: 2172–75. Hemavathy A T, Bapu J R and Priyadarshini C. 2017. Principal Component Analysis in Pigeon pea [Cajanus cajan (L.) Millsp.]. Electronic Journal of Plant Breeding 8(4): 1133–39. Islam M S, Hasan M M, Xiong W, Zhang S C and Lei C L. 2009. Fumigant and repellent activities of essential oil from Coriandrum sativum (L.) (Apiaceae) against red flour bettle, Triboliumcastaneum (Herbst) (Coleoptera: Tenebrionidae). Journal of Pesticide Science 82: 171–77. | 287 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | 2017. Principal Component Analysis in Pigeon pea [Cajanus cajan (L.) Millsp.]. Electronic Journal of Plant Breeding 8(4): 1133–39. | p[11] | 0.700 | valid | |
| What was the topic of Gothandan G.'s MSc thesis in 2021? | ‘Evaluation of coriander genotypes (Coriandrum sativum L.) for high herbage yield and quality under coconut ecosystem during kharif season’. | Frontiers in Plant Science 13: 1036592. Gothandan G. 2021. ‘Evaluation of coriander genotypes (Coriandrum sativum L.) for high herbage yield and quality under coconut ecosystem during kharif season’. MSc Thesis, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu. | 59 | summary | 0.970 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | 2021. ‘Evaluation of coriander genotypes (Coriandrum sativum L.) for high herbage yield and quality under coconut ecosystem during kharif season’. MSc Thesis, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu. | p[3] | 0.700 | valid | |
| What topics related to Coriandrum sativum were reviewed by Mahleyuddin N N and colleagues? | ethnopharmacology, phytochemistry, and cardiovascular benefits. | Genetic variability and association analysis for various agro morphological traits in lentil (Lens culinaris M.). Legume Research 43(6): 776–79. Mahalanobis P C. 1936. On the generalized distance in statistics. Proceedings of National Institute of Sciences of India 2(1): 49–55. Mahleyuddin N N, Said M, Long C M, Hanis H Z, Nurolaini K, Mei J L, Sarker M M R, Yaser M A, Bey H G, Shobna T and Hui P G. 2022. Coriandrum sativum (L.): A review on ethnopharmacology, phytochemistry, and cardiovascular benefits. Molecules 27(1): 209. Mahmud I and Kramer H H. 1951. Segregation for yield, height and maturity following a soyabean cross. Agronomy Journal 43: 605–09. Manyasa E O, Silim S N and Christiansen J L. 2009. Variability patterns in Ugandan pigeon pea landraces. Journal of SAT Agricultural Research 7: 1–9. | 446 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Coriandrum sativum (L.): A review on ethnopharmacology, phytochemistry, and cardiovascular benefits. Molecules 27(1): 209. | p[15] | 0.700 | ||
| 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/153131 | Indexedin Elsevier Scopus, Clarivate Analytics ESCI, DOAJ.Plagiarism checkby iThenticate.The work is licensed underAttribution-NonCommercial-NoDerivatives 4. | ||||
| Which traits exhibited high values for genetic and phenotypic variation, heritability, and genetic advance? | number of primary branches, number of secondary branches, number of umbels/plant, number of umbellets/plant, number of seeds/umbel, seed yield/plot and seed yield/plant | High estimates of genetic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance were observed for the traits such as number of primary branches, number of secondary branches, number of umbels/plant, number of umbellets/plant, number of seeds/umbel, seed yield/plot and seed yield/plant. Correlation analysis showed a highly significant positive relationship between seed yield per plant and the number of seeds per umbel. Path analysis, however, suggested that both direct and indirect effects were relatively low, with the direct effect of the number of seeds per umbel being the most significant and positive. The genetic divergence analysis demonstrated that the accessions clustered into 10 distinct groups. Notably, cluster 4 contained highest number of accessions among all clusters, i.e. 48 and cluster 6 had only one accession. | 171 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | High estimates of genetic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance were observed for the traits such as number of primary branches, number of secondary branches, number of umbels/plant, number of umbellets/plant, number of seeds/umbel, seed yield/plot and seed yield/plant. | ||||
| Which principal components showed maximum variances for yield attributing traits? | PC2, PC3 and PC4 | Principal component analysis revealed that PCA 1 showed maximum variances for yield traits while PC2, PC3 and PC4 showed maximum variances for yield attributing traits. Adams M, Schneider S V, Kluge M, Kessler M and Hamburger M. 2012. Epilepsy in the Renaissance: A survey of remedies from 16th and 17th century German herbals. Journal of Ethnopharmacology 143(1): 1–3. | 97 | list | 0.740 | https://epubs.icar.org.in/index.php/IJAgS/article/view/153131 | Principal component analysis revealed that PCA 1 showed maximum variances for yield traits while PC2, PC3 and PC4 showed maximum variances for yield attributing traits. | p[0] | 0.700 | valid |
Read straight from the file — download or use the API URL for the full dataset.
| valid |
| 0.700 |
| valid |
| valid |
| p[40] |
| 0.700 |
| valid |
| p[0] |
| 0.700 |
| valid |