{"title":"影响印度东南部半干旱地区雨养作物生产力的旱灾动态","authors":"Santanu Kumar Bal, Koilakonda Ashok Kumar, Kaipa Venkata Subrahmanya Sudheer, Abburi Venkata M. Subba Rao, Kanagala Pavani, Chagam Venkata Chandra Mohan Reddy, Bodireddy Sahadeva Reddy, Malamal Alickal Sarath Chandran, Narayanan Manikandan, Vinod Kumar Singh","doi":"10.1111/jac.70002","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The crop productivity in rainfed regions is driven by the quantum and distribution of rainfall during the crop growth period. The dry spell index (DSI) was used in the present investigation to quantify the cumulative impact of dry spells on major rainfed crops of the kharif season (June–September) in India's semi-arid regions of Andhra Pradesh. The effect of DSI on the yield of major rainfed crops, i.e., groundnut, pigeon pea, cotton, maize and pearl millet was estimated and compared with the widely used standard precipitation index (SPI). Our results revealed that among the various districts, a higher DSI (> 16.1) was noticed in Anantapur that experienced a DSI of 8.1–16.0 in 77% of the years during the study period (1998–2019), which indicated that the crop suffered stress conditions during the season affecting the crop yields. Moreover, a significant negative correlation was observed between the yields of various crops (groundnut, pigeon pea, maize and pearl millet) and DSI. On the other hand, SPI analysis showed that 74%–83% of the years experienced normal (−0.99 to 0.99) to moderately dry (−1.00 to −1.49) conditions, indicating normal rainfall status during the season. At the same time, no significant correlation was found between the SPI and crop yields. Therefore, the present study revealed that the DSI performed better in quantifying the dry spells and their impact on crop yields, especially under rainfed conditions in the semi-arid regions of south-east India.</p>\n </div>","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"210 6","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi-Arid Regions of South-East India\",\"authors\":\"Santanu Kumar Bal, Koilakonda Ashok Kumar, Kaipa Venkata Subrahmanya Sudheer, Abburi Venkata M. Subba Rao, Kanagala Pavani, Chagam Venkata Chandra Mohan Reddy, Bodireddy Sahadeva Reddy, Malamal Alickal Sarath Chandran, Narayanan Manikandan, Vinod Kumar Singh\",\"doi\":\"10.1111/jac.70002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The crop productivity in rainfed regions is driven by the quantum and distribution of rainfall during the crop growth period. The dry spell index (DSI) was used in the present investigation to quantify the cumulative impact of dry spells on major rainfed crops of the kharif season (June–September) in India's semi-arid regions of Andhra Pradesh. The effect of DSI on the yield of major rainfed crops, i.e., groundnut, pigeon pea, cotton, maize and pearl millet was estimated and compared with the widely used standard precipitation index (SPI). Our results revealed that among the various districts, a higher DSI (> 16.1) was noticed in Anantapur that experienced a DSI of 8.1–16.0 in 77% of the years during the study period (1998–2019), which indicated that the crop suffered stress conditions during the season affecting the crop yields. Moreover, a significant negative correlation was observed between the yields of various crops (groundnut, pigeon pea, maize and pearl millet) and DSI. On the other hand, SPI analysis showed that 74%–83% of the years experienced normal (−0.99 to 0.99) to moderately dry (−1.00 to −1.49) conditions, indicating normal rainfall status during the season. At the same time, no significant correlation was found between the SPI and crop yields. Therefore, the present study revealed that the DSI performed better in quantifying the dry spells and their impact on crop yields, especially under rainfed conditions in the semi-arid regions of south-east India.</p>\\n </div>\",\"PeriodicalId\":14864,\"journal\":{\"name\":\"Journal of Agronomy and Crop Science\",\"volume\":\"210 6\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agronomy and Crop Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jac.70002\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agronomy and Crop Science","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jac.70002","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi-Arid Regions of South-East India
The crop productivity in rainfed regions is driven by the quantum and distribution of rainfall during the crop growth period. The dry spell index (DSI) was used in the present investigation to quantify the cumulative impact of dry spells on major rainfed crops of the kharif season (June–September) in India's semi-arid regions of Andhra Pradesh. The effect of DSI on the yield of major rainfed crops, i.e., groundnut, pigeon pea, cotton, maize and pearl millet was estimated and compared with the widely used standard precipitation index (SPI). Our results revealed that among the various districts, a higher DSI (> 16.1) was noticed in Anantapur that experienced a DSI of 8.1–16.0 in 77% of the years during the study period (1998–2019), which indicated that the crop suffered stress conditions during the season affecting the crop yields. Moreover, a significant negative correlation was observed between the yields of various crops (groundnut, pigeon pea, maize and pearl millet) and DSI. On the other hand, SPI analysis showed that 74%–83% of the years experienced normal (−0.99 to 0.99) to moderately dry (−1.00 to −1.49) conditions, indicating normal rainfall status during the season. At the same time, no significant correlation was found between the SPI and crop yields. Therefore, the present study revealed that the DSI performed better in quantifying the dry spells and their impact on crop yields, especially under rainfed conditions in the semi-arid regions of south-east India.
期刊介绍:
The effects of stress on crop production of agricultural cultivated plants will grow to paramount importance in the 21st century, and the Journal of Agronomy and Crop Science aims to assist in understanding these challenges. In this context, stress refers to extreme conditions under which crops and forages grow. The journal publishes original papers and reviews on the general and special science of abiotic plant stress. Specific topics include: drought, including water-use efficiency, such as salinity, alkaline and acidic stress, extreme temperatures since heat, cold and chilling stress limit the cultivation of crops, flooding and oxidative stress, and means of restricting them. Special attention is on research which have the topic of narrowing the yield gap. The Journal will give preference to field research and studies on plant stress highlighting these subsections. Particular regard is given to application-oriented basic research and applied research. The application of the scientific principles of agricultural crop experimentation is an essential prerequisite for the publication. Studies based on field experiments must show that they have been repeated (at least three times) on the same organism or have been conducted on several different varieties.