Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model

•Unlike previous findings, teff Normalized Water Productivity (NWP) fits to C4 crops.•Teff yield and biomass responded well to high fertilizer and full irrigation.•Early sowing was found to be the best strategy for growing teff in study area.•Two irrigation applications also substantially improved t...

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Veröffentlicht in:Agricultural water management 2016-12, Vol.178, p.148-158
Hauptverfasser: Haileselassie, Hailay, Araya, A., Habtu, Solomon, Meles, Kiros Gebretsadkan, Gebru, Girmay, Kisekka, Isaya, Girma, Atkilt, Hadgu, Kiros Meles, Foster, A.J.
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container_end_page 158
container_issue
container_start_page 148
container_title Agricultural water management
container_volume 178
creator Haileselassie, Hailay
Araya, A.
Habtu, Solomon
Meles, Kiros Gebretsadkan
Gebru, Girmay
Kisekka, Isaya
Girma, Atkilt
Hadgu, Kiros Meles
Foster, A.J.
description •Unlike previous findings, teff Normalized Water Productivity (NWP) fits to C4 crops.•Teff yield and biomass responded well to high fertilizer and full irrigation.•Early sowing was found to be the best strategy for growing teff in study area.•Two irrigation applications also substantially improved the yield of late sown teff.•This study suggests regional fertilizer recommendation for teff need to be revised. Teff is a major staple food crop in Ethiopia. Moisture and soil fertility are the two major factors limiting teff yield. Studies were conducted across three sites in Ethiopa [Mekelle (MK) in 2012 and 2016, Ilala (IL) in 2012 and Debrezeit (DZ) in 2009 and 2010]. The objectives of these studies were (1) to assess the response of Quncho-teff to different fertilizer and irrigation levels; 2) to quantify irrigation water productivity (IWP), and (3) to collect data to calibrate and validate AquaCrop model for simulating yield and evaluate optimal irrigation and sowing date strategy for Quncho-teff at different locations in Ethiopia. The different fertilizer levels were: 1) 64kgN and 46kg P/ha (N2P2); 2); 32kgN and 23kg P/ha (N1P1); 3) 0kgN and 0kg P/ha (N0P0) and 4) 52kgN and 46kg P/ha (N3P3). The four irrigation treatments were: zero (rainfed), two, four and full irrigation applications. Findings showed that full irrigation in combination with high fertilizer (N2P2) could give better yield. However, during abnormal rainfall, spreading the available fertilizer at a rate of 32kgN and 23kg P/ha may be preferable to applying 64kgN and 46kg P/ha. This study also indicated that the regional fertilizer recommendations for teff need to be revised taking in to account the soil characteristics, climate and irrigation water availability. The AquaCrop model was able to simulate the observed canopy cover, soil water, biomass and yield of teff satisfactorily. Canopy cover was simulated with normalized root mean square error (NRMSE), index of agreement (I) and R2 of 7%, 0.5 and 0.8, respectively. Soil moisture during the season was simulated with NRMSE of 11.4–15.7%, I of 0.99 and R2 of 0.85–0.9. Simulated final aboveground biomass values were in close agreement with the measured (NRMSE, 7.8%, I, 0.89 and R2, 0.66). There was also good agreement between simulated and measured grain yield with NRMSE, I and R2 values of 10.9%, 0.93, 0.80, respectively. Scenario analysis indicated that early sowing was the best option to maximize teff yield with the least amount of irrigati
doi_str_mv 10.1016/j.agwat.2016.09.002
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Trotter) using AquaCrop model</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Haileselassie, Hailay ; Araya, A. ; Habtu, Solomon ; Meles, Kiros Gebretsadkan ; Gebru, Girmay ; Kisekka, Isaya ; Girma, Atkilt ; Hadgu, Kiros Meles ; Foster, A.J.</creator><creatorcontrib>Haileselassie, Hailay ; Araya, A. ; Habtu, Solomon ; Meles, Kiros Gebretsadkan ; Gebru, Girmay ; Kisekka, Isaya ; Girma, Atkilt ; Hadgu, Kiros Meles ; Foster, A.J.</creatorcontrib><description>•Unlike previous findings, teff Normalized Water Productivity (NWP) fits to C4 crops.•Teff yield and biomass responded well to high fertilizer and full irrigation.•Early sowing was found to be the best strategy for growing teff in study area.•Two irrigation applications also substantially improved the yield of late sown teff.•This study suggests regional fertilizer recommendation for teff need to be revised. Teff is a major staple food crop in Ethiopia. Moisture and soil fertility are the two major factors limiting teff yield. Studies were conducted across three sites in Ethiopa [Mekelle (MK) in 2012 and 2016, Ilala (IL) in 2012 and Debrezeit (DZ) in 2009 and 2010]. The objectives of these studies were (1) to assess the response of Quncho-teff to different fertilizer and irrigation levels; 2) to quantify irrigation water productivity (IWP), and (3) to collect data to calibrate and validate AquaCrop model for simulating yield and evaluate optimal irrigation and sowing date strategy for Quncho-teff at different locations in Ethiopia. The different fertilizer levels were: 1) 64kgN and 46kg P/ha (N2P2); 2); 32kgN and 23kg P/ha (N1P1); 3) 0kgN and 0kg P/ha (N0P0) and 4) 52kgN and 46kg P/ha (N3P3). The four irrigation treatments were: zero (rainfed), two, four and full irrigation applications. Findings showed that full irrigation in combination with high fertilizer (N2P2) could give better yield. However, during abnormal rainfall, spreading the available fertilizer at a rate of 32kgN and 23kg P/ha may be preferable to applying 64kgN and 46kg P/ha. This study also indicated that the regional fertilizer recommendations for teff need to be revised taking in to account the soil characteristics, climate and irrigation water availability. The AquaCrop model was able to simulate the observed canopy cover, soil water, biomass and yield of teff satisfactorily. Canopy cover was simulated with normalized root mean square error (NRMSE), index of agreement (I) and R2 of 7%, 0.5 and 0.8, respectively. Soil moisture during the season was simulated with NRMSE of 11.4–15.7%, I of 0.99 and R2 of 0.85–0.9. Simulated final aboveground biomass values were in close agreement with the measured (NRMSE, 7.8%, I, 0.89 and R2, 0.66). There was also good agreement between simulated and measured grain yield with NRMSE, I and R2 values of 10.9%, 0.93, 0.80, respectively. Scenario analysis indicated that early sowing was the best option to maximize teff yield with the least amount of irrigation. Scenario analysis also showed that one irrigation during flowering stage could substantially improve irrigation water productivity (IWP) of teff and minimize the yield loses which could occur due to shifting of sowing date from early to normal. Two irrigation applications also substantially improved the yield and IWP of late sown teff. However, to get high yield, a late sown teff should receive at least four irrigation applications during the mid-growth stage of the crop. 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Trotter) using AquaCrop model</title><title>Agricultural water management</title><description>•Unlike previous findings, teff Normalized Water Productivity (NWP) fits to C4 crops.•Teff yield and biomass responded well to high fertilizer and full irrigation.•Early sowing was found to be the best strategy for growing teff in study area.•Two irrigation applications also substantially improved the yield of late sown teff.•This study suggests regional fertilizer recommendation for teff need to be revised. Teff is a major staple food crop in Ethiopia. Moisture and soil fertility are the two major factors limiting teff yield. Studies were conducted across three sites in Ethiopa [Mekelle (MK) in 2012 and 2016, Ilala (IL) in 2012 and Debrezeit (DZ) in 2009 and 2010]. The objectives of these studies were (1) to assess the response of Quncho-teff to different fertilizer and irrigation levels; 2) to quantify irrigation water productivity (IWP), and (3) to collect data to calibrate and validate AquaCrop model for simulating yield and evaluate optimal irrigation and sowing date strategy for Quncho-teff at different locations in Ethiopia. The different fertilizer levels were: 1) 64kgN and 46kg P/ha (N2P2); 2); 32kgN and 23kg P/ha (N1P1); 3) 0kgN and 0kg P/ha (N0P0) and 4) 52kgN and 46kg P/ha (N3P3). The four irrigation treatments were: zero (rainfed), two, four and full irrigation applications. Findings showed that full irrigation in combination with high fertilizer (N2P2) could give better yield. However, during abnormal rainfall, spreading the available fertilizer at a rate of 32kgN and 23kg P/ha may be preferable to applying 64kgN and 46kg P/ha. This study also indicated that the regional fertilizer recommendations for teff need to be revised taking in to account the soil characteristics, climate and irrigation water availability. The AquaCrop model was able to simulate the observed canopy cover, soil water, biomass and yield of teff satisfactorily. Canopy cover was simulated with normalized root mean square error (NRMSE), index of agreement (I) and R2 of 7%, 0.5 and 0.8, respectively. Soil moisture during the season was simulated with NRMSE of 11.4–15.7%, I of 0.99 and R2 of 0.85–0.9. Simulated final aboveground biomass values were in close agreement with the measured (NRMSE, 7.8%, I, 0.89 and R2, 0.66). There was also good agreement between simulated and measured grain yield with NRMSE, I and R2 values of 10.9%, 0.93, 0.80, respectively. Scenario analysis indicated that early sowing was the best option to maximize teff yield with the least amount of irrigation. Scenario analysis also showed that one irrigation during flowering stage could substantially improve irrigation water productivity (IWP) of teff and minimize the yield loses which could occur due to shifting of sowing date from early to normal. Two irrigation applications also substantially improved the yield and IWP of late sown teff. However, to get high yield, a late sown teff should receive at least four irrigation applications during the mid-growth stage of the crop. These results suggest that AquaCrop model can be used to identify optimal farm resource management strategies for teff production.</description><subject>AquaCrop</subject><subject>Biomass</subject><subject>Computer simulation</subject><subject>Eragrostis tef</subject><subject>Farms</subject><subject>Fertilizing</subject><subject>Irrigation</subject><subject>Irrigation water productivity</subject><subject>Modeling</subject><subject>Optimization</subject><subject>Soil moisture</subject><subject>Strategy</subject><subject>Teff</subject><subject>Water</subject><issn>0378-3774</issn><issn>1873-2283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkU9r3DAQxUVoINukn6AXHTcHu5Klla1DD2HZpIFACaSXXoQsj10vtuWM5Pz79NF2ew49DTO8N8NvHiFfOcs54-rbPrfds415kZqc6Zyx4oSseFWKrCgq8YmsmCirTJSlPCOfQ9gzxiST5Yq87V7mwWM_ddTPsR_tQFuLI0UIfkEHgY52sh2MMEUaItoI3SttPdL7ZXJ_fBahbel6h7ZDH2IfaBrQ9e_FufySPqCPEfCSLuFw4epxsVv0Mx19A8MFOW3tEODLv3pOfl3vHrY_srufN7fbq7vMCaVj5qRNONI2rK0UVDXnoIWolWS6AF5IpawG1cgCnCudsI5BrRveSM03dV2BOCfr494Z_eMCIZqxDw6GwU7gl2B4peRmwzZS_4dUKsml0FWSiqPUJe6A0JoZ0_vw1XBmDqGYvfkbijmEYpg2iSK5vh9dkICfekATXA-Tg6ZHcNE0vv_Q_w4b3JfQ</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Haileselassie, Hailay</creator><creator>Araya, A.</creator><creator>Habtu, Solomon</creator><creator>Meles, Kiros Gebretsadkan</creator><creator>Gebru, Girmay</creator><creator>Kisekka, Isaya</creator><creator>Girma, Atkilt</creator><creator>Hadgu, Kiros Meles</creator><creator>Foster, A.J.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201612</creationdate><title>Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model</title><author>Haileselassie, Hailay ; Araya, A. ; Habtu, Solomon ; Meles, Kiros Gebretsadkan ; Gebru, Girmay ; Kisekka, Isaya ; Girma, Atkilt ; Hadgu, Kiros Meles ; Foster, A.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-c4a0024ad0f86e8b11e933b64092e12466a9e6d42ecc7c3ac0eb9d1d4915bb8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>AquaCrop</topic><topic>Biomass</topic><topic>Computer simulation</topic><topic>Eragrostis tef</topic><topic>Farms</topic><topic>Fertilizing</topic><topic>Irrigation</topic><topic>Irrigation water productivity</topic><topic>Modeling</topic><topic>Optimization</topic><topic>Soil moisture</topic><topic>Strategy</topic><topic>Teff</topic><topic>Water</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Haileselassie, Hailay</creatorcontrib><creatorcontrib>Araya, A.</creatorcontrib><creatorcontrib>Habtu, Solomon</creatorcontrib><creatorcontrib>Meles, Kiros Gebretsadkan</creatorcontrib><creatorcontrib>Gebru, Girmay</creatorcontrib><creatorcontrib>Kisekka, Isaya</creatorcontrib><creatorcontrib>Girma, Atkilt</creatorcontrib><creatorcontrib>Hadgu, Kiros Meles</creatorcontrib><creatorcontrib>Foster, A.J.</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Agricultural water management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haileselassie, Hailay</au><au>Araya, A.</au><au>Habtu, Solomon</au><au>Meles, Kiros Gebretsadkan</au><au>Gebru, Girmay</au><au>Kisekka, Isaya</au><au>Girma, Atkilt</au><au>Hadgu, Kiros Meles</au><au>Foster, A.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model</atitle><jtitle>Agricultural water management</jtitle><date>2016-12</date><risdate>2016</risdate><volume>178</volume><spage>148</spage><epage>158</epage><pages>148-158</pages><issn>0378-3774</issn><eissn>1873-2283</eissn><abstract>•Unlike previous findings, teff Normalized Water Productivity (NWP) fits to C4 crops.•Teff yield and biomass responded well to high fertilizer and full irrigation.•Early sowing was found to be the best strategy for growing teff in study area.•Two irrigation applications also substantially improved the yield of late sown teff.•This study suggests regional fertilizer recommendation for teff need to be revised. Teff is a major staple food crop in Ethiopia. Moisture and soil fertility are the two major factors limiting teff yield. Studies were conducted across three sites in Ethiopa [Mekelle (MK) in 2012 and 2016, Ilala (IL) in 2012 and Debrezeit (DZ) in 2009 and 2010]. The objectives of these studies were (1) to assess the response of Quncho-teff to different fertilizer and irrigation levels; 2) to quantify irrigation water productivity (IWP), and (3) to collect data to calibrate and validate AquaCrop model for simulating yield and evaluate optimal irrigation and sowing date strategy for Quncho-teff at different locations in Ethiopia. The different fertilizer levels were: 1) 64kgN and 46kg P/ha (N2P2); 2); 32kgN and 23kg P/ha (N1P1); 3) 0kgN and 0kg P/ha (N0P0) and 4) 52kgN and 46kg P/ha (N3P3). The four irrigation treatments were: zero (rainfed), two, four and full irrigation applications. Findings showed that full irrigation in combination with high fertilizer (N2P2) could give better yield. However, during abnormal rainfall, spreading the available fertilizer at a rate of 32kgN and 23kg P/ha may be preferable to applying 64kgN and 46kg P/ha. This study also indicated that the regional fertilizer recommendations for teff need to be revised taking in to account the soil characteristics, climate and irrigation water availability. The AquaCrop model was able to simulate the observed canopy cover, soil water, biomass and yield of teff satisfactorily. Canopy cover was simulated with normalized root mean square error (NRMSE), index of agreement (I) and R2 of 7%, 0.5 and 0.8, respectively. Soil moisture during the season was simulated with NRMSE of 11.4–15.7%, I of 0.99 and R2 of 0.85–0.9. Simulated final aboveground biomass values were in close agreement with the measured (NRMSE, 7.8%, I, 0.89 and R2, 0.66). There was also good agreement between simulated and measured grain yield with NRMSE, I and R2 values of 10.9%, 0.93, 0.80, respectively. Scenario analysis indicated that early sowing was the best option to maximize teff yield with the least amount of irrigation. Scenario analysis also showed that one irrigation during flowering stage could substantially improve irrigation water productivity (IWP) of teff and minimize the yield loses which could occur due to shifting of sowing date from early to normal. Two irrigation applications also substantially improved the yield and IWP of late sown teff. However, to get high yield, a late sown teff should receive at least four irrigation applications during the mid-growth stage of the crop. These results suggest that AquaCrop model can be used to identify optimal farm resource management strategies for teff production.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.agwat.2016.09.002</doi><tpages>11</tpages></addata></record>
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source ScienceDirect Journals (5 years ago - present)
subjects AquaCrop
Biomass
Computer simulation
Eragrostis tef
Farms
Fertilizing
Irrigation
Irrigation water productivity
Modeling
Optimization
Soil moisture
Strategy
Teff
Water
title Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model
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