Consequential rice crop response to resultant soil properties in a toposequence in eastern coastal plain of Odisha, India
Rice cultivation widely distributed in Southeast Asia on gently sloping coastal plains with different toposequences and elevation. These toposequences, slope differences primarily due to differentiation in soil development and water movement are key to rice production. Understanding soil variables u...
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description | Rice cultivation widely distributed in Southeast Asia on gently sloping coastal plains with different toposequences and elevation. These toposequences, slope differences primarily due to differentiation in soil development and water movement are key to rice production. Understanding soil variables under rice cultivation along the different toposequence models in coastal systems is rarely an attempt toward sustainable crop productivity. With the objectives of investigating variation in soil properties under rice cultivation along the toposequences in the eastern coastal part of Odisha, five soil series representing alluvial (old and young), colluvium, and coastal plain (plain and shore) toposequences were studied that are classified into two soil orders viz.
Inceptisols
(P1, P2, P4, and P5) and
Vertisols
(P3). The soils are deep to very deep, poor to moderately well-drained, color varied from brown to dark gray. The clay content varied from 12.6 to 81.4%. High clay content (> 60%) was observed in subsoils of colluvium (P3) and young alluvial plain (P2). Soil reaction varied from slightly acidic to moderately alkaline (pH 6.2–9.4) and electrical conductivity (EC) was ranging from 0.23 to 5.60 dS m
−1
. OC content was low to high (0.12–1.13%) and CEC and base saturation (BS) ranged from 4.9 to 37.1 cmol (p
+
) kg
−1
and 73–95%, respectively. Rice soils suffer from different nutrient deficiencies (N, P, and Zn) and toxicities (Fe, Mn, and Cu) in different root zone depths in slope position. Variation in rice yield was highly significant with clay content, CEC, and negatively correlated with EC, Exchangeable sodium, and ESP. Linear regression of rice yield with soil properties
R
2
values varied from 0.29 (ESP) to 0.40 (CEC). Water movement and alternate wet and dry rice cultivation systems impact clay deposition, anion, and cation movement along the toposequence. Moreover, OC and K were increased down the slope on the coastal plain than alluvial soils. Conceptual toposequence model exhibition of the landscape is key to find major soils at the family level and crop response in the coastal systems. Thus, adopting site-specific or soil-based suitable management practices can improve the productivity of rice crops. |
doi_str_mv | 10.1007/s40808-021-01216-2 |
format | Article |
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Inceptisols
(P1, P2, P4, and P5) and
Vertisols
(P3). The soils are deep to very deep, poor to moderately well-drained, color varied from brown to dark gray. The clay content varied from 12.6 to 81.4%. High clay content (> 60%) was observed in subsoils of colluvium (P3) and young alluvial plain (P2). Soil reaction varied from slightly acidic to moderately alkaline (pH 6.2–9.4) and electrical conductivity (EC) was ranging from 0.23 to 5.60 dS m
−1
. OC content was low to high (0.12–1.13%) and CEC and base saturation (BS) ranged from 4.9 to 37.1 cmol (p
+
) kg
−1
and 73–95%, respectively. Rice soils suffer from different nutrient deficiencies (N, P, and Zn) and toxicities (Fe, Mn, and Cu) in different root zone depths in slope position. Variation in rice yield was highly significant with clay content, CEC, and negatively correlated with EC, Exchangeable sodium, and ESP. Linear regression of rice yield with soil properties
R
2
values varied from 0.29 (ESP) to 0.40 (CEC). Water movement and alternate wet and dry rice cultivation systems impact clay deposition, anion, and cation movement along the toposequence. Moreover, OC and K were increased down the slope on the coastal plain than alluvial soils. Conceptual toposequence model exhibition of the landscape is key to find major soils at the family level and crop response in the coastal systems. Thus, adopting site-specific or soil-based suitable management practices can improve the productivity of rice crops.</description><identifier>ISSN: 2363-6203</identifier><identifier>EISSN: 2363-6211</identifier><identifier>DOI: 10.1007/s40808-021-01216-2</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Acidic soils ; Alluvial plains ; Alluvial soils ; Anions ; Cations ; Cereal crops ; Chemistry and Earth Sciences ; Clay ; Coastal plains ; Colour ; Computer Science ; Copper ; Crop production ; Crop yield ; Crops ; Cultivation ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Ecosystems ; Electrical conductivity ; Electrical resistivity ; Environment ; Exhibitions ; Grain cultivation ; Manganese ; Math. Appl. in Environmental Science ; Mathematical Applications in the Physical Sciences ; Original Article ; Physics ; Productivity ; Rice ; Root zone ; Saturation ; Sodium ; Soil classification ; Soil properties ; Soil water movement ; Statistics for Engineering ; Subsoils ; Sustainable agriculture ; Unconsolidated soils ; Vertisols ; Yields ; Zinc</subject><ispartof>Modeling earth systems and environment, 2022-06, Vol.8 (2), p.2135-2150</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-4873bab50f0551c9c388536d1c736138b0d2e466378e4080181311d160543a933</citedby><cites>FETCH-LOGICAL-c319t-4873bab50f0551c9c388536d1c736138b0d2e466378e4080181311d160543a933</cites><orcidid>0000-0001-6587-5244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40808-021-01216-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40808-021-01216-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Srinivasan, Ramasamy</creatorcontrib><creatorcontrib>Nayak, Dulal Chandra</creatorcontrib><creatorcontrib>Gobinath, Rajendran</creatorcontrib><creatorcontrib>Kumar, Subbanna Naveen</creatorcontrib><creatorcontrib>Nageswara Rao, D. V. K.</creatorcontrib><creatorcontrib>Singh, Surendra Kumar</creatorcontrib><title>Consequential rice crop response to resultant soil properties in a toposequence in eastern coastal plain of Odisha, India</title><title>Modeling earth systems and environment</title><addtitle>Model. Earth Syst. Environ</addtitle><description>Rice cultivation widely distributed in Southeast Asia on gently sloping coastal plains with different toposequences and elevation. These toposequences, slope differences primarily due to differentiation in soil development and water movement are key to rice production. Understanding soil variables under rice cultivation along the different toposequence models in coastal systems is rarely an attempt toward sustainable crop productivity. With the objectives of investigating variation in soil properties under rice cultivation along the toposequences in the eastern coastal part of Odisha, five soil series representing alluvial (old and young), colluvium, and coastal plain (plain and shore) toposequences were studied that are classified into two soil orders viz.
Inceptisols
(P1, P2, P4, and P5) and
Vertisols
(P3). The soils are deep to very deep, poor to moderately well-drained, color varied from brown to dark gray. The clay content varied from 12.6 to 81.4%. High clay content (> 60%) was observed in subsoils of colluvium (P3) and young alluvial plain (P2). Soil reaction varied from slightly acidic to moderately alkaline (pH 6.2–9.4) and electrical conductivity (EC) was ranging from 0.23 to 5.60 dS m
−1
. OC content was low to high (0.12–1.13%) and CEC and base saturation (BS) ranged from 4.9 to 37.1 cmol (p
+
) kg
−1
and 73–95%, respectively. Rice soils suffer from different nutrient deficiencies (N, P, and Zn) and toxicities (Fe, Mn, and Cu) in different root zone depths in slope position. Variation in rice yield was highly significant with clay content, CEC, and negatively correlated with EC, Exchangeable sodium, and ESP. Linear regression of rice yield with soil properties
R
2
values varied from 0.29 (ESP) to 0.40 (CEC). Water movement and alternate wet and dry rice cultivation systems impact clay deposition, anion, and cation movement along the toposequence. Moreover, OC and K were increased down the slope on the coastal plain than alluvial soils. Conceptual toposequence model exhibition of the landscape is key to find major soils at the family level and crop response in the coastal systems. Thus, adopting site-specific or soil-based suitable management practices can improve the productivity of rice crops.</description><subject>Acidic soils</subject><subject>Alluvial plains</subject><subject>Alluvial soils</subject><subject>Anions</subject><subject>Cations</subject><subject>Cereal crops</subject><subject>Chemistry and Earth Sciences</subject><subject>Clay</subject><subject>Coastal plains</subject><subject>Colour</subject><subject>Computer Science</subject><subject>Copper</subject><subject>Crop production</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Cultivation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth System Sciences</subject><subject>Ecosystems</subject><subject>Electrical conductivity</subject><subject>Electrical resistivity</subject><subject>Environment</subject><subject>Exhibitions</subject><subject>Grain cultivation</subject><subject>Manganese</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical Applications in the Physical Sciences</subject><subject>Original Article</subject><subject>Physics</subject><subject>Productivity</subject><subject>Rice</subject><subject>Root zone</subject><subject>Saturation</subject><subject>Sodium</subject><subject>Soil classification</subject><subject>Soil properties</subject><subject>Soil water movement</subject><subject>Statistics for Engineering</subject><subject>Subsoils</subject><subject>Sustainable agriculture</subject><subject>Unconsolidated soils</subject><subject>Vertisols</subject><subject>Yields</subject><subject>Zinc</subject><issn>2363-6203</issn><issn>2363-6211</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kD9PwzAQxS0EElXpF2CyxErAZyeOM6KKf1KlLjBbbuKAq2AH2x367bkQBBuTT3fvvTv_CLkEdgOM1bepZIqpgnEoGHCQBT8hCy6kKCQHOP2tmTgnq5T2jDGQXMqmWZDjOvhkPw_WZ2cGGl1raRvDSKNN4zSiOUz1YcjGZ5qCG-iIcxuzs4k6Tw0qxjBnoBk71qRso6dtwAJDx8FgN_R027n0bq7ps--cuSBnvRmSXf28S_L6cP-yfio228fn9d2maAU0uShVLXZmV7GeVRW0TSuUqoTsoK2FBKF2rOO2lFLUyk4cQIEA6ECyqhSmEWJJruZcPBtvTFnvwyF6XKmRQS25wDhU8VmFn08p2l6P0X2YeNTA9ERZz5Q1UtbflDVHk5hNCcX-zca_6H9cXyqifwk</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Srinivasan, Ramasamy</creator><creator>Nayak, Dulal Chandra</creator><creator>Gobinath, Rajendran</creator><creator>Kumar, Subbanna Naveen</creator><creator>Nageswara Rao, D. V. K.</creator><creator>Singh, Surendra Kumar</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0001-6587-5244</orcidid></search><sort><creationdate>20220601</creationdate><title>Consequential rice crop response to resultant soil properties in a toposequence in eastern coastal plain of Odisha, India</title><author>Srinivasan, Ramasamy ; Nayak, Dulal Chandra ; Gobinath, Rajendran ; Kumar, Subbanna Naveen ; Nageswara Rao, D. V. K. ; Singh, Surendra Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-4873bab50f0551c9c388536d1c736138b0d2e466378e4080181311d160543a933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acidic soils</topic><topic>Alluvial plains</topic><topic>Alluvial soils</topic><topic>Anions</topic><topic>Cations</topic><topic>Cereal crops</topic><topic>Chemistry and Earth Sciences</topic><topic>Clay</topic><topic>Coastal plains</topic><topic>Colour</topic><topic>Computer Science</topic><topic>Copper</topic><topic>Crop production</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Cultivation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth System Sciences</topic><topic>Ecosystems</topic><topic>Electrical conductivity</topic><topic>Electrical resistivity</topic><topic>Environment</topic><topic>Exhibitions</topic><topic>Grain cultivation</topic><topic>Manganese</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical Applications in the Physical Sciences</topic><topic>Original Article</topic><topic>Physics</topic><topic>Productivity</topic><topic>Rice</topic><topic>Root zone</topic><topic>Saturation</topic><topic>Sodium</topic><topic>Soil classification</topic><topic>Soil properties</topic><topic>Soil water movement</topic><topic>Statistics for Engineering</topic><topic>Subsoils</topic><topic>Sustainable agriculture</topic><topic>Unconsolidated soils</topic><topic>Vertisols</topic><topic>Yields</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Srinivasan, Ramasamy</creatorcontrib><creatorcontrib>Nayak, Dulal Chandra</creatorcontrib><creatorcontrib>Gobinath, Rajendran</creatorcontrib><creatorcontrib>Kumar, Subbanna Naveen</creatorcontrib><creatorcontrib>Nageswara Rao, D. V. K.</creatorcontrib><creatorcontrib>Singh, Surendra Kumar</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Modeling earth systems and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Srinivasan, Ramasamy</au><au>Nayak, Dulal Chandra</au><au>Gobinath, Rajendran</au><au>Kumar, Subbanna Naveen</au><au>Nageswara Rao, D. V. K.</au><au>Singh, Surendra Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consequential rice crop response to resultant soil properties in a toposequence in eastern coastal plain of Odisha, India</atitle><jtitle>Modeling earth systems and environment</jtitle><stitle>Model. Earth Syst. Environ</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>8</volume><issue>2</issue><spage>2135</spage><epage>2150</epage><pages>2135-2150</pages><issn>2363-6203</issn><eissn>2363-6211</eissn><abstract>Rice cultivation widely distributed in Southeast Asia on gently sloping coastal plains with different toposequences and elevation. These toposequences, slope differences primarily due to differentiation in soil development and water movement are key to rice production. Understanding soil variables under rice cultivation along the different toposequence models in coastal systems is rarely an attempt toward sustainable crop productivity. With the objectives of investigating variation in soil properties under rice cultivation along the toposequences in the eastern coastal part of Odisha, five soil series representing alluvial (old and young), colluvium, and coastal plain (plain and shore) toposequences were studied that are classified into two soil orders viz.
Inceptisols
(P1, P2, P4, and P5) and
Vertisols
(P3). The soils are deep to very deep, poor to moderately well-drained, color varied from brown to dark gray. The clay content varied from 12.6 to 81.4%. High clay content (> 60%) was observed in subsoils of colluvium (P3) and young alluvial plain (P2). Soil reaction varied from slightly acidic to moderately alkaline (pH 6.2–9.4) and electrical conductivity (EC) was ranging from 0.23 to 5.60 dS m
−1
. OC content was low to high (0.12–1.13%) and CEC and base saturation (BS) ranged from 4.9 to 37.1 cmol (p
+
) kg
−1
and 73–95%, respectively. Rice soils suffer from different nutrient deficiencies (N, P, and Zn) and toxicities (Fe, Mn, and Cu) in different root zone depths in slope position. Variation in rice yield was highly significant with clay content, CEC, and negatively correlated with EC, Exchangeable sodium, and ESP. Linear regression of rice yield with soil properties
R
2
values varied from 0.29 (ESP) to 0.40 (CEC). Water movement and alternate wet and dry rice cultivation systems impact clay deposition, anion, and cation movement along the toposequence. Moreover, OC and K were increased down the slope on the coastal plain than alluvial soils. Conceptual toposequence model exhibition of the landscape is key to find major soils at the family level and crop response in the coastal systems. Thus, adopting site-specific or soil-based suitable management practices can improve the productivity of rice crops.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40808-021-01216-2</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-6587-5244</orcidid></addata></record> |
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subjects | Acidic soils Alluvial plains Alluvial soils Anions Cations Cereal crops Chemistry and Earth Sciences Clay Coastal plains Colour Computer Science Copper Crop production Crop yield Crops Cultivation Earth and Environmental Science Earth Sciences Earth System Sciences Ecosystems Electrical conductivity Electrical resistivity Environment Exhibitions Grain cultivation Manganese Math. Appl. in Environmental Science Mathematical Applications in the Physical Sciences Original Article Physics Productivity Rice Root zone Saturation Sodium Soil classification Soil properties Soil water movement Statistics for Engineering Subsoils Sustainable agriculture Unconsolidated soils Vertisols Yields Zinc |
title | Consequential rice crop response to resultant soil properties in a toposequence in eastern coastal plain of Odisha, India |
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