12 extractive question-and-answer pairs built from Assessment of larval population and damage potential of fall armyworm( Spodoptera frugiperda ) in maize ( Zea may s) ecosystem | The Indian Journal of Agricultural Sciences, published by epubs.icar.org.in. Source-evidenced topics include fall armyworm, spodoptera frugiperda, maize, zea mays, larval population, leaf damage, 2022, 2023. 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 factual, 3 list, 3 relationship. 6 of the 12 pairs (50.0%) ask explanatory questions; the remaining 6 are factual or table-based questions. 100.00% of rows pass the corpus quality gate.
This dataset examines the larval population and leaf damage caused by fall armyworm (Spodoptera frugiperda) in maize ecosystems during the rainy seasons of 2022 and 2023 in Banda district, Uttar Pradesh. It includes 12 extractive question-and-answer pairs derived from a study published in The Indian Journal of Agricultural Sciences. The data highlights correlations between weather variables and pest activity, with rainfall being a significant factor in 2022 and temperature and humidity playing key roles in 2023. The dataset also documents the timing and intensity of larval population peaks and the extent of leaf damage across both years.
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import desidata
df = desidata.load("epubs-icar-org-in-0baea73fd7c29e1e9a31675ec2e2cb1c")
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 did correlation analysis indicate about the relationship between larval population and leaf damage? | a strong positive correlation | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 647 | relationship | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. | p[0] | 0.700 | valid | |
| Which abiotic weather parameter showed a significant positive correlation with larval population in 2022? | rainfall | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 781 | relationship | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | In 2022, only rainfallshowed a significant positive correlation with larval population. | p[0] | 0.700 | ||
| Which weather variable was identified as the most significant constant in 2022? | maximum temperature | during 2023, both larval population and leaf damage showed significant positive correlations with minimum temperature, maximum relative humidity and minimum relative humidity. Principal component analysis suggested that higher rainfall and relative humidity favour greater population growth and leaf damage in 2023 compared to 2022. The results of the regression analysis revealed that weather variables were more influenced in 2022 (R2 = 58.7) than 2023 (R2 = 41.5), showed 58.70% variability in fall armyworm larval population, where maximum temperature was most significant constant. Besides, other factors might also be responsible for a weaker model in 2023. | 536 | relationship | 0.890 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The results of the regression analysis revealed that weather variables were more influenced in 2022 (R2 = 58.7) than 2023 (R2 = 41.5), showed 58.70% variability in fall armyworm larval population, where maximum temperature was most significant constant. | p[0] | 0.700 | valid | |
| Which weather variables showed significant positive correlations with larval population and leaf damage in 2023? | minimum temperature, maximum relative humidity and minimum relative humidity | during 2023, both larval population and leaf damage showed significant positive correlations with minimum temperature, maximum relative humidity and minimum relative humidity. Principal component analysis suggested that higher rainfall and relative humidity favour greater population growth and leaf damage in 2023 compared to 2022. The results of the regression analysis revealed that weather variables were more influenced in 2022 (R2 = 58.7) than 2023 (R2 = 41.5), showed 58.70% variability in fall armyworm larval population, where maximum temperature was most significant constant. Besides, other factors might also be responsible for a weaker model in 2023. | 98 | list | 0.820 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | during 2023, both larval population and leaf damage showed significant positive correlations with minimum temperature, maximum relative humidity and minimum relative humidity. | p[0] | 0.700 | valid | |
| What was the range of leaf damage caused by fall armyworm in 2022? | 0.37–60.16% | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 566 | list | 0.620 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. | p[0] | 0.700 | valid | |
| What was the range of leaf damage caused by fall armyworm in 2023? | 4.69–58.14% | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 595 | list | 0.620 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. | p[0] | 0.700 | valid | |
| During which standard meteorological week did the larval population of fall armyworm first appear in 2022? | 33rd standard meteorological week (SMW) | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 292 | factual | 0.570 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. | ||||
| What was the initial larval population count per plant in 2023? | 0.28 larvae/plant | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 365 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. | p[0] | |||
| What was the peak larval population of fall armyworm per plant in 2022? | 6.92 larvae/plant | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 440 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. | p[0] | 0.700 | ||
| What was the peak larval population of fall armyworm per plant in 2023? | 4.83 larvae/plant | A study was carried out to assess the larval incidence and leaf damage potential of fall armyworm, Spodoptera frugiperda (J E Smith) in maize (Zea mays L.) agroecosystem during rainy (kharif) season of 2022 and 2023 at Banda district of Uttar Pradesh. The larval population first appeared in 33rd standard meteorological week (SMW), with initial counts of 0.10 and 0.28 larvae/plant in 2022 and 2023, respectively. The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. The leaf damage was also varied from 0.37–60.16% in 2022 and from 4.69–58.14% in 2023. Correlation analysis indicated a strong positive correlation between larval population and leaf damage, both influenced by abiotic weather parameters. In 2022, only rainfallshowed a significant positive correlation with larval population. | 486 | factual | 0.370 | https://epubs.icar.org.in/index.php/IJAgS/article/view/166588 | The population peaked at 6.92 larvae/plant in 38th SMW during 2022 and 4.83 larvae/plant in 37th SMW during 2023. | p[0] | 0.700 |
Read straight from the file — download or use the API URL for the full dataset.
| valid |
| p[0] |
| 0.700 |
| valid |
| 0.700 |
| valid |
| valid |
| valid |