Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi-Arid Regions of South-East India

IF 3.7 2区 农林科学 Q1 AGRONOMY Journal of Agronomy and Crop Science Pub Date : 2024-11-20 DOI:10.1111/jac.70002
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
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Abstract

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.

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影响印度东南部半干旱地区雨养作物生产力的旱灾动态
雨水灌溉地区的作物产量受作物生长期降雨量和降雨分布的影响。本次调查采用旱灾指数(DSI)来量化旱灾对印度安得拉邦半干旱地区旱季(6 月至 9 月)主要雨浇作物的累积影响。我们估算了旱灾指数对主要雨浇作物(即落花生、豌豆、棉花、玉米和珍珠粟)产量的影响,并将其与广泛使用的标准降水指数(SPI)进行了比较。研究结果表明,在各地区中,阿南塔普尔的降水量指数(> 16.1)较高,在研究期间(1998-2019 年),77% 的年份降水量指数为 8.1-16.0,这表明作物在该季节遭受了胁迫,影响了作物产量。此外,各种作物(落花生、豌豆、玉米和珍珠粟)的产量与 DSI 之间存在明显的负相关。另一方面,SPI 分析表明,74%-83% 的年份降雨量正常(-0.99 至 0.99)至中度干旱(-1.00 至-1.49),表明该季节降雨量正常。同时,SPI 与作物产量之间没有发现明显的相关性。因此,本研究表明,DSI 在量化干旱及其对作物产量的影响方面表现更佳,尤其是在印度东南部半干旱地区的雨水灌溉条件下。
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来源期刊
Journal of Agronomy and Crop Science
Journal of Agronomy and Crop Science 农林科学-农艺学
CiteScore
8.20
自引率
5.70%
发文量
54
审稿时长
7.8 months
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.
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