Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi‐Arid Regions of South‐East India
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–Sep...
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creator | Bal, Santanu Kumar Kumar, Koilakonda Ashok Sudheer, Kaipa Venkata Subrahmanya Subba Rao, Abburi Venkata M. Pavani, Kanagala Reddy, Chagam Venkata Chandra Mohan Reddy, Bodireddy Sahadeva Chandran, Malamal Alickal Sarath Manikandan, Narayanan Singh, Vinod Kumar |
description | 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. |
doi_str_mv | 10.1111/jac.70002 |
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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.</description><identifier>ISSN: 0931-2250</identifier><identifier>EISSN: 1439-037X</identifier><identifier>DOI: 10.1111/jac.70002</identifier><language>eng</language><publisher>Berlin: Wiley Subscription Services, Inc</publisher><subject>Agricultural production ; agronomy ; Arid regions ; Arid zones ; Cenchrus americanus ; Corn ; Cotton ; Crop growth ; Crop production ; Crop yield ; Crops ; dry spell ; dry spell index ; Groundnuts ; India ; Millet ; peanuts ; Peas ; Pennisetum glaucum ; pigeon peas ; Pigeonpeas ; Productivity ; rain ; Rainfall ; rainfed crops ; Seasons ; semi‐arid region ; SPI</subject><ispartof>Journal of agronomy and crop science (1986), 2024-12, Vol.210 (6), p.n/a</ispartof><rights>2024 Wiley‐VCH GmbH. Published by John Wiley & Sons Ltd</rights><rights>Copyright © 2024 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2202-7c66377797caf554c8373624ea0c37a65cdd7a25c0f2ab85bab3bade76808dbe3</cites><orcidid>0000-0001-7029-0400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjac.70002$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjac.70002$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Bal, Santanu Kumar</creatorcontrib><creatorcontrib>Kumar, Koilakonda Ashok</creatorcontrib><creatorcontrib>Sudheer, Kaipa Venkata Subrahmanya</creatorcontrib><creatorcontrib>Subba Rao, Abburi Venkata M.</creatorcontrib><creatorcontrib>Pavani, Kanagala</creatorcontrib><creatorcontrib>Reddy, Chagam Venkata Chandra Mohan</creatorcontrib><creatorcontrib>Reddy, Bodireddy Sahadeva</creatorcontrib><creatorcontrib>Chandran, Malamal Alickal Sarath</creatorcontrib><creatorcontrib>Manikandan, Narayanan</creatorcontrib><creatorcontrib>Singh, Vinod Kumar</creatorcontrib><title>Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi‐Arid Regions of South‐East India</title><title>Journal of agronomy and crop science (1986)</title><description>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.</description><subject>Agricultural production</subject><subject>agronomy</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Cenchrus americanus</subject><subject>Corn</subject><subject>Cotton</subject><subject>Crop growth</subject><subject>Crop production</subject><subject>Crop yield</subject><subject>Crops</subject><subject>dry spell</subject><subject>dry spell index</subject><subject>Groundnuts</subject><subject>India</subject><subject>Millet</subject><subject>peanuts</subject><subject>Peas</subject><subject>Pennisetum glaucum</subject><subject>pigeon peas</subject><subject>Pigeonpeas</subject><subject>Productivity</subject><subject>rain</subject><subject>Rainfall</subject><subject>rainfed crops</subject><subject>Seasons</subject><subject>semi‐arid region</subject><subject>SPI</subject><issn>0931-2250</issn><issn>1439-037X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp10EFLwzAUB_AgCs7pwW8Q8KKHbmnSNu1x1KmTwWRT8FbSNN0y2qZL2klvfgQ_o5_EbPUkmEtI-L3He38Arl00cu0ZbxkfUYQQPgED1yORgwh9PwUDFBHXwdhH5-DCmK0VAcZkAHb3uoOrWhQFvO8qVkpu4KysGW9ktYbNRsAXrbLWPvey6aDK4ZLJKhcZjLWqDVzshT6ylSjl9-fXRMsMLsVaqsoc9Eq1zcb-T5lp4KzKJLsEZzkrjLj6vYfg7WH6Gj8588XjLJ7MHY4xwg7lQUAopRHlLPd9j4eEkgB7giFOKAt8nmWUYZ-jHLM09FOWkpRlggYhCrNUkCG47fvWWu1aYZqklIbbRVklVGsS4voe9g4tLb35Q7eq1ZWdziqCg9CPPGzVXa-4VsZokSe1liXTXeKi5BB-YsNPjuFbO-7thyxE9z9MnidxX_EDac2HLA</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Bal, Santanu Kumar</creator><creator>Kumar, Koilakonda Ashok</creator><creator>Sudheer, Kaipa Venkata Subrahmanya</creator><creator>Subba Rao, Abburi Venkata M.</creator><creator>Pavani, Kanagala</creator><creator>Reddy, Chagam Venkata Chandra Mohan</creator><creator>Reddy, Bodireddy Sahadeva</creator><creator>Chandran, Malamal Alickal Sarath</creator><creator>Manikandan, Narayanan</creator><creator>Singh, Vinod Kumar</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-7029-0400</orcidid></search><sort><creationdate>202412</creationdate><title>Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi‐Arid Regions of South‐East India</title><author>Bal, Santanu Kumar ; Kumar, Koilakonda Ashok ; Sudheer, Kaipa Venkata Subrahmanya ; Subba Rao, Abburi Venkata M. ; Pavani, Kanagala ; Reddy, Chagam Venkata Chandra Mohan ; Reddy, Bodireddy Sahadeva ; Chandran, Malamal Alickal Sarath ; Manikandan, Narayanan ; Singh, Vinod Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2202-7c66377797caf554c8373624ea0c37a65cdd7a25c0f2ab85bab3bade76808dbe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural production</topic><topic>agronomy</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Cenchrus americanus</topic><topic>Corn</topic><topic>Cotton</topic><topic>Crop growth</topic><topic>Crop production</topic><topic>Crop yield</topic><topic>Crops</topic><topic>dry spell</topic><topic>dry spell index</topic><topic>Groundnuts</topic><topic>India</topic><topic>Millet</topic><topic>peanuts</topic><topic>Peas</topic><topic>Pennisetum glaucum</topic><topic>pigeon peas</topic><topic>Pigeonpeas</topic><topic>Productivity</topic><topic>rain</topic><topic>Rainfall</topic><topic>rainfed crops</topic><topic>Seasons</topic><topic>semi‐arid region</topic><topic>SPI</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bal, Santanu Kumar</creatorcontrib><creatorcontrib>Kumar, Koilakonda Ashok</creatorcontrib><creatorcontrib>Sudheer, Kaipa Venkata Subrahmanya</creatorcontrib><creatorcontrib>Subba Rao, Abburi Venkata M.</creatorcontrib><creatorcontrib>Pavani, Kanagala</creatorcontrib><creatorcontrib>Reddy, Chagam Venkata Chandra Mohan</creatorcontrib><creatorcontrib>Reddy, Bodireddy Sahadeva</creatorcontrib><creatorcontrib>Chandran, Malamal Alickal Sarath</creatorcontrib><creatorcontrib>Manikandan, Narayanan</creatorcontrib><creatorcontrib>Singh, Vinod Kumar</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of agronomy and crop science (1986)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bal, Santanu Kumar</au><au>Kumar, Koilakonda Ashok</au><au>Sudheer, Kaipa Venkata Subrahmanya</au><au>Subba Rao, Abburi Venkata M.</au><au>Pavani, Kanagala</au><au>Reddy, Chagam Venkata Chandra Mohan</au><au>Reddy, Bodireddy Sahadeva</au><au>Chandran, Malamal Alickal Sarath</au><au>Manikandan, Narayanan</au><au>Singh, Vinod Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi‐Arid Regions of South‐East India</atitle><jtitle>Journal of agronomy and crop science (1986)</jtitle><date>2024-12</date><risdate>2024</risdate><volume>210</volume><issue>6</issue><epage>n/a</epage><issn>0931-2250</issn><eissn>1439-037X</eissn><abstract>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.</abstract><cop>Berlin</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/jac.70002</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-7029-0400</orcidid></addata></record> |
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subjects | Agricultural production agronomy Arid regions Arid zones Cenchrus americanus Corn Cotton Crop growth Crop production Crop yield Crops dry spell dry spell index Groundnuts India Millet peanuts Peas Pennisetum glaucum pigeon peas Pigeonpeas Productivity rain Rainfall rainfed crops Seasons semi‐arid region SPI |
title | Dry Spell Dynamics Impacting the Productivity of Rainfed Crops Over the Semi‐Arid Regions of South‐East India |
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