Jerry Nboyine, R. Oteng‐Frimpong, Stephen Arthur, Issah Sugri, D. Puozaa, G. Mahama, Philp Agrengsore, Moses Mochiah, Mumuni Audulai, Israel Dzomeku, Richard Akromah, J. Asibuo, W. Appaw, Mohammed Abdul-Razak, Greg Buol, David Jordan, Rick Brandenburg, Greg MacDonald, D. Hoisington, J. Rhoads
{"title":"管理风险:提高加纳花生(Arachis hypogaea)产量和质量的决策工具","authors":"Jerry Nboyine, R. Oteng‐Frimpong, Stephen Arthur, Issah Sugri, D. Puozaa, G. Mahama, Philp Agrengsore, Moses Mochiah, Mumuni Audulai, Israel Dzomeku, Richard Akromah, J. Asibuo, W. Appaw, Mohammed Abdul-Razak, Greg Buol, David Jordan, Rick Brandenburg, Greg MacDonald, D. Hoisington, J. Rhoads","doi":"10.3146/0095-3679-501-ps23-2","DOIUrl":null,"url":null,"abstract":"Peanut cultivation in Ghana is influenced by abiotic (e.g., drought, fertilization, etc.) and biotic (e.g., pests, diseases, etc.) factors that must be managed effectively to maximize yields. These factors differ across agro-ecologies and pose significant risks to yields and aflatoxin contamination and can limit financial returns to farmers. Knowledge of interactions among key production practices such as pest management, crop rotation sequence, varietal selection, tillage systems, and chemical inputs is required to mitigate these risks and to provide quality advice to peanut farmers by Agricultural Extension Agents (AEAs) and/or similar advisory groups. This paper describes the development of a comprehensive, Microsoft (MS) Excel based risk management tool to help farmers and their advisors implement practices that minimize the risk of yield loss and aflatoxin contamination while providing production cost estimates. This tool is based on a similar one developed for peanut production in North Carolina (USA). Three risk tools were developed; one for the interior savannah zone of northern Ghana which has a unimodal rainfall pattern, and two for the forest and transition zones of southern Ghana which are characterized by a bimodal rainfall pattern. These tools will aid AEAs and farmers to make informed decisions on the best combinations of production practices that will minimize risk and increase yields in Ghana. The development process considered the differences in selection of varieties, plant density, fertilization, and pest management between savannah and the forest-transition regions as well as the impact of their interactions on peanut yield and aflatoxin contamination. Overall, this risk management tool benefits extension service providers (government and private), breeding, agronomy, and plant protection programs as well as teaching in higher education institutions.","PeriodicalId":19823,"journal":{"name":"Peanut Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Managing Risk: a Decision Tool to Enhance Yield and Quality of Peanut (Arachis hypogaea) in Ghana\",\"authors\":\"Jerry Nboyine, R. Oteng‐Frimpong, Stephen Arthur, Issah Sugri, D. Puozaa, G. Mahama, Philp Agrengsore, Moses Mochiah, Mumuni Audulai, Israel Dzomeku, Richard Akromah, J. Asibuo, W. Appaw, Mohammed Abdul-Razak, Greg Buol, David Jordan, Rick Brandenburg, Greg MacDonald, D. Hoisington, J. Rhoads\",\"doi\":\"10.3146/0095-3679-501-ps23-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Peanut cultivation in Ghana is influenced by abiotic (e.g., drought, fertilization, etc.) and biotic (e.g., pests, diseases, etc.) factors that must be managed effectively to maximize yields. These factors differ across agro-ecologies and pose significant risks to yields and aflatoxin contamination and can limit financial returns to farmers. Knowledge of interactions among key production practices such as pest management, crop rotation sequence, varietal selection, tillage systems, and chemical inputs is required to mitigate these risks and to provide quality advice to peanut farmers by Agricultural Extension Agents (AEAs) and/or similar advisory groups. This paper describes the development of a comprehensive, Microsoft (MS) Excel based risk management tool to help farmers and their advisors implement practices that minimize the risk of yield loss and aflatoxin contamination while providing production cost estimates. This tool is based on a similar one developed for peanut production in North Carolina (USA). Three risk tools were developed; one for the interior savannah zone of northern Ghana which has a unimodal rainfall pattern, and two for the forest and transition zones of southern Ghana which are characterized by a bimodal rainfall pattern. These tools will aid AEAs and farmers to make informed decisions on the best combinations of production practices that will minimize risk and increase yields in Ghana. The development process considered the differences in selection of varieties, plant density, fertilization, and pest management between savannah and the forest-transition regions as well as the impact of their interactions on peanut yield and aflatoxin contamination. 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Managing Risk: a Decision Tool to Enhance Yield and Quality of Peanut (Arachis hypogaea) in Ghana
Peanut cultivation in Ghana is influenced by abiotic (e.g., drought, fertilization, etc.) and biotic (e.g., pests, diseases, etc.) factors that must be managed effectively to maximize yields. These factors differ across agro-ecologies and pose significant risks to yields and aflatoxin contamination and can limit financial returns to farmers. Knowledge of interactions among key production practices such as pest management, crop rotation sequence, varietal selection, tillage systems, and chemical inputs is required to mitigate these risks and to provide quality advice to peanut farmers by Agricultural Extension Agents (AEAs) and/or similar advisory groups. This paper describes the development of a comprehensive, Microsoft (MS) Excel based risk management tool to help farmers and their advisors implement practices that minimize the risk of yield loss and aflatoxin contamination while providing production cost estimates. This tool is based on a similar one developed for peanut production in North Carolina (USA). Three risk tools were developed; one for the interior savannah zone of northern Ghana which has a unimodal rainfall pattern, and two for the forest and transition zones of southern Ghana which are characterized by a bimodal rainfall pattern. These tools will aid AEAs and farmers to make informed decisions on the best combinations of production practices that will minimize risk and increase yields in Ghana. The development process considered the differences in selection of varieties, plant density, fertilization, and pest management between savannah and the forest-transition regions as well as the impact of their interactions on peanut yield and aflatoxin contamination. Overall, this risk management tool benefits extension service providers (government and private), breeding, agronomy, and plant protection programs as well as teaching in higher education institutions.