Yield-limiting macronutrients for rice in sub-Saharan Africa
Nutrient deficiencies are considered major constraints to rice production in sub-Saharan Africa (SSA), but a systematic, continent-wide analysis of these constraints is lacking. The objective of this study was to assess responses of rice yields to macronutrients (N, P, and K) across major rice produ...
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Published in | Geoderma Vol. 338; pp. 546 - 554 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
15.03.2019
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Abstract | Nutrient deficiencies are considered major constraints to rice production in sub-Saharan Africa (SSA), but a systematic, continent-wide analysis of these constraints is lacking. The objective of this study was to assess responses of rice yields to macronutrients (N, P, and K) across major rice production systems [irrigated lowland rice (IL), rainfed lowland rice (RL), and rainfed upland rice (RU)] and diverse agro-ecological zones (semi-arid, sub-humid, humid, and highlands) in SSA. Diagnostic trials were conducted in 17 countries in 18–60 farmers' fields in each of 30 sites (totaling 1037 farmers' fields), of which 12 sites were in IL, 15 in RL and 3 in RU. All trials had an NPK treatment, and three treatments in which either nitrogen (N), phosphorus (P), or potassium (K) was omitted from the NPK treatment (minus N, P, and K plots). The trials were conducted during one or two seasons. Regression between yields in the NPK and minus N plots was used for calculating N fertilizer requirement, following the approach used for the development of a nutrient management decision support tool for rice (RiceAdvice) in SSA.
Site mean yields in the NPK treatment ranged from 1.4 to 7.3 t ha−1. On average, these yields were 1.1 t ha−1 higher than farmers' yields previously observed in the same sites. N was generally the most limiting nutrient, followed by P. Rice yields without N, P, and K were 68, 84, and 89% of yields in the NPK treatment, and were positively correlated with those in the NPK treatment irrespective of production systems and agro-ecological zone (AEZ). Results from a regression model across sites indicated that achieving 3, 5, and 7 t ha−1 requires N fertilizer application at an average rate of 56, 91, and 122 kg N ha−1, respectively. However, there was significant treatment by site interaction on rice yield. Site mean yields were significantly lower without N, P, and K in 93, 60, and 50% of sites as compared to the NPK treatment. Yield response to macronutrients varied across sites and was not related to production system, nor AEZ. Results from this study will help further improvement of RiceAdvice for providing decision support tailored to the particular site, zone, or production system, thereby closing yield gaps, improving fertilizer nutrient efficiency and preventing negative environmental consequences of fertilizer use.
•Nutrient omission trials for rice were conducted in 1037 farmers' fields across 30 sites in 17 SSA countries.•12, 15, and 3 sites were located in irrigated lowland, rainfed lowland, and rainfed upland, respectively.•Site mean yields in the NPK treatment ranged from 1.4 to 7.3 t ha−1.•Mean rice yields without N, P, and K were 68, 84, and 89% of yields in the NPK treatment, respectively.•N fertilizer requirements were calculated for improving nutrient management practices. |
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AbstractList | Nutrient deficiencies are considered major constraints to rice production in sub-Saharan Africa (SSA), but a systematic, continent-wide analysis of these constraints is lacking. The objective of this study was to assess responses of rice yields to macronutrients (N, P, and K) across major rice production systems [irrigated lowland rice (IL), rainfed lowland rice (RL), and rainfed upland rice (RU)] and diverse agro-ecological zones (semi-arid, sub-humid, humid, and highlands) in SSA. Diagnostic trials were conducted in 17 countries in 18–60 farmers' fields in each of 30 sites (totaling 1037 farmers' fields), of which 12 sites were in IL, 15 in RL and 3 in RU. All trials had an NPK treatment, and three treatments in which either nitrogen (N), phosphorus (P), or potassium (K) was omitted from the NPK treatment (minus N, P, and K plots). The trials were conducted during one or two seasons. Regression between yields in the NPK and minus N plots was used for calculating N fertilizer requirement, following the approach used for the development of a nutrient management decision support tool for rice (RiceAdvice) in SSA.
Site mean yields in the NPK treatment ranged from 1.4 to 7.3 t ha−1. On average, these yields were 1.1 t ha−1 higher than farmers' yields previously observed in the same sites. N was generally the most limiting nutrient, followed by P. Rice yields without N, P, and K were 68, 84, and 89% of yields in the NPK treatment, and were positively correlated with those in the NPK treatment irrespective of production systems and agro-ecological zone (AEZ). Results from a regression model across sites indicated that achieving 3, 5, and 7 t ha−1 requires N fertilizer application at an average rate of 56, 91, and 122 kg N ha−1, respectively. However, there was significant treatment by site interaction on rice yield. Site mean yields were significantly lower without N, P, and K in 93, 60, and 50% of sites as compared to the NPK treatment. Yield response to macronutrients varied across sites and was not related to production system, nor AEZ. Results from this study will help further improvement of RiceAdvice for providing decision support tailored to the particular site, zone, or production system, thereby closing yield gaps, improving fertilizer nutrient efficiency and preventing negative environmental consequences of fertilizer use.
•Nutrient omission trials for rice were conducted in 1037 farmers' fields across 30 sites in 17 SSA countries.•12, 15, and 3 sites were located in irrigated lowland, rainfed lowland, and rainfed upland, respectively.•Site mean yields in the NPK treatment ranged from 1.4 to 7.3 t ha−1.•Mean rice yields without N, P, and K were 68, 84, and 89% of yields in the NPK treatment, respectively.•N fertilizer requirements were calculated for improving nutrient management practices. Nutrient deficiencies are considered major constraints to rice production in sub-Saharan Africa (SSA), but a systematic, continent-wide analysis of these constraints is lacking. The objective of this study was to assess responses of rice yields to macronutrients (N, P, and K) across major rice production systems [irrigated lowland rice (IL), rainfed lowland rice (RL), and rainfed upland rice (RU)] and diverse agro-ecological zones (semi-arid, sub-humid, humid, and highlands) in SSA. Diagnostic trials were conducted in 17 countries in 18–60 farmers' fields in each of 30 sites (totaling 1037 farmers' fields), of which 12 sites were in IL, 15 in RL and 3 in RU. All trials had an NPK treatment, and three treatments in which either nitrogen (N), phosphorus (P), or potassium (K) was omitted from the NPK treatment (minus N, P, and K plots). The trials were conducted during one or two seasons. Regression between yields in the NPK and minus N plots was used for calculating N fertilizer requirement, following the approach used for the development of a nutrient management decision support tool for rice (RiceAdvice) in SSA.Site mean yields in the NPK treatment ranged from 1.4 to 7.3 t ha−1. On average, these yields were 1.1 t ha−1 higher than farmers' yields previously observed in the same sites. N was generally the most limiting nutrient, followed by P. Rice yields without N, P, and K were 68, 84, and 89% of yields in the NPK treatment, and were positively correlated with those in the NPK treatment irrespective of production systems and agro-ecological zone (AEZ). Results from a regression model across sites indicated that achieving 3, 5, and 7 t ha−1 requires N fertilizer application at an average rate of 56, 91, and 122 kg N ha−1, respectively. However, there was significant treatment by site interaction on rice yield. Site mean yields were significantly lower without N, P, and K in 93, 60, and 50% of sites as compared to the NPK treatment. Yield response to macronutrients varied across sites and was not related to production system, nor AEZ. Results from this study will help further improvement of RiceAdvice for providing decision support tailored to the particular site, zone, or production system, thereby closing yield gaps, improving fertilizer nutrient efficiency and preventing negative environmental consequences of fertilizer use. |
Author | Bakare, Samuel Oladele Jaiteh, Famara Ayeva, Tchatchibara Dogbe, Wilson Segda, Zacharie Abera, Bayuh Belay Johnson, Jean-Martial Baggie, Idriss Kalisa, Alain Mossi, Illiassou Maïga Dieng, Ibnou Senthilkumar, Kalimuthu Nanfumba, David Tanaka, Atsuko Gbaguidi, Félix Ablede, Komlan Gbakatchetche, Henri Sékou, Keita Rabeson, Raymond Saito, Kazuki Vandamme, Elke Akakpo, Cyriaque Tarfa, Bitrus Dawi Bassoro, Ibrahim Kajiru, Geophrey Jasper Wopereis, Marco C.S. Lamare, Delphine Bam, Ralph Kwame Kamissoko, Nianankoro |
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Box 1690, Ampandrianomby, Antananarivo, Madagascar – sequence: 6 givenname: Ibnou surname: Dieng fullname: Dieng, Ibnou organization: Africa Rice Center (AfricaRice), 01 B.P. 2551, Bouake 01, Côte d'Ivoire – sequence: 7 givenname: Cyriaque surname: Akakpo fullname: Akakpo, Cyriaque organization: Institut National des Recherches Agricoles du Bénin (INRAB), B.P. 226, Bohicon, Benin – sequence: 8 givenname: Félix surname: Gbaguidi fullname: Gbaguidi, Félix organization: Cellule Bas-Fonds (CBF) de la Direction du Génie Rural (DGR), B.P. 268, Porto-Novo, Benin – sequence: 9 givenname: Zacharie surname: Segda fullname: Segda, Zacharie organization: Centre National de la Recherche Scientifique et Technologique, Institut de l'Environnement et de Recherches Agricoles (CNRST/INERA), Bobo Dioulasso, Burkina Faso – sequence: 10 givenname: Ibrahim surname: Bassoro fullname: Bassoro, Ibrahim organization: Institut de recherche agricole pour le développement (IRAD), B.P. 2123, Yaoundé, Cameroon – sequence: 11 givenname: Delphine surname: Lamare fullname: Lamare, Delphine organization: Institut de recherche agricole pour le développement (IRAD), B.P. 2123, Yaoundé, Cameroon – sequence: 12 givenname: Henri surname: Gbakatchetche fullname: Gbakatchetche, Henri organization: Centre National de Recherche Agronomique (CNRA), B.P. 440, Man, Côte d'Ivoire – sequence: 13 givenname: Bayuh Belay surname: Abera fullname: Abera, Bayuh Belay organization: Ethiopian Institute of Agricultural Research (EIAR), P.O. Box 1745, Bahir Dar, Ethiopia – sequence: 14 givenname: Famara surname: Jaiteh fullname: Jaiteh, Famara organization: National Agricultural Research Institute (NARI), P.M.B. 144, Brikama, Gambia – sequence: 15 givenname: Ralph Kwame surname: Bam fullname: Bam, Ralph Kwame organization: CSIR-Crops Research Institute, P. O. Box 3785, Kumasi, Ghana – sequence: 16 givenname: Wilson surname: Dogbe fullname: Dogbe, Wilson organization: CSIR Savanna Agricultural Research Institute (SARI), P.O. Box 52, Tamale, Ghana – sequence: 17 givenname: Keita surname: Sékou fullname: Sékou, Keita organization: Institut de Recherche Agronomique de Guinée (IRAG), Kankan, B.P. 1523, Conakry, Guinea – sequence: 18 givenname: Raymond surname: Rabeson fullname: Rabeson, Raymond organization: Centre National de Recherche Appliquée au Développement Rural (FOFIFA), Antananarivo, Madagascar – sequence: 19 givenname: Nianankoro surname: Kamissoko fullname: Kamissoko, Nianankoro organization: Institute d'Economie Rurale (IER), B.P. 258, CRRA/Niono, Mali – sequence: 20 givenname: Illiassou Maïga surname: Mossi fullname: Mossi, Illiassou Maïga organization: Institut National de la Recherche Agronomique du Niger (INRAN), B.P. 429, Niamey, Niger – sequence: 21 givenname: Bitrus Dawi surname: Tarfa fullname: Tarfa, Bitrus Dawi organization: Department of Soil Science, Faculty of Agriculture, Ahmadu Bello University, Zaria, Nigeria – sequence: 22 givenname: Samuel Oladele surname: Bakare fullname: Bakare, Samuel Oladele organization: National Cereals Research Institute (NCRI), P.M.B. 8, Badeggi, Niger State, Nigeria – sequence: 23 givenname: Alain surname: Kalisa fullname: Kalisa, Alain organization: Rwanda Agricultural Board (RAB), P.O. Box 5016, Kigali, Rwanda – sequence: 24 givenname: Idriss surname: Baggie fullname: Baggie, Idriss organization: Rokupr Agricultural Research Centre (RARC), Sierra Leone Agricultural Research Institute (SLARI), P.M.B. 736, Freetown, Sierra Leone – sequence: 25 givenname: Geophrey Jasper surname: Kajiru fullname: Kajiru, Geophrey Jasper organization: Tanzania Agricultural Research Institute, Headquater, P.O. Box 2066, Dar es Salaam, Tanzania – sequence: 26 givenname: Komlan surname: Ablede fullname: Ablede, Komlan organization: Institut Togolais de Recherche Agronomique (ITRA), B.P. 1163, Lomé, Togo – sequence: 27 givenname: Tchatchibara surname: Ayeva fullname: Ayeva, Tchatchibara organization: Institut Togolais de Recherche Agronomique (ITRA), B.P. 1163, Lomé, Togo – sequence: 28 givenname: David surname: Nanfumba fullname: Nanfumba, David organization: National Agricultural Research Organization (NARO), Mbale, Uganda – sequence: 29 givenname: Marco C.S. surname: Wopereis fullname: Wopereis, Marco C.S. organization: World Vegetable Center, P.O. Box 42, Shanhua, Tainan 74199, Taiwan |
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Snippet | Nutrient deficiencies are considered major constraints to rice production in sub-Saharan Africa (SSA), but a systematic, continent-wide analysis of these... |
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SubjectTerms | agroecological zones decision support systems farmers fertilizer application grain yield highlands irrigation Nitrogen nitrogen fertilizers nutrient deficiencies nutrient management Nutrient omission trial Oryza spp Phosphorus Potassium production technology regression analysis rice Site-specific nutrient management Sub-Saharan Africa |
Title | Yield-limiting macronutrients for rice in sub-Saharan Africa |
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