Efforts Toward Improving Maize Yields on Smallholder Farms in Uasin Gishu County, Kenya, through Site-specific, Soil-testing-based Fertiliser Recommendations: A Transdisciplinary Approach

A. Chebet, Njoroge Ruth, Otinga A. Nekesa, W. Ng’etich, K. Julius, R. Scholz
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引用次数: 4

Abstract

ABSTRACT This study evaluated the effects of site-specific, soil-testing-based fertiliser recommendations on maize yields using the transdisciplinary (TD) process. The TD process utilizes knowledge from science and practice. Farmers, extension officers, local financial institutions, and other practitioners collaborated with local scientists from the University of Eldoret in the process of financing, purchasing, and applying fertilisers in adequate amounts and composition. A total of 144 farmers participated in the study, which lasted for two seasons. The data sampling was based on a randomized 2 × 3 × 4 × 2 factorial complete block design, including the following factors: TD (non-participation vs participation in the TD process); ST (soil testing in the following categories: fertiliser application with no soil testing, fertiliser application following government recommendations, and application of site-specific, soil-testing-based fertiliser recommendations), and location (Kapyemit, Kipsomba, Ng’enyilel, and Ziwa). The “no soil testing” (ST1) category refers to farmers’ own practices at an average fertilisation of about 60 kg N ha−1 and 15 kg P ha−1. The government recommendation (ST2) calls for 75 kg N ha−1, 25 kg P ha−1, and 6 t ha−1 manure, and site-specific fertiliser recommendations (ST3) were based on actual soil-testing results; generally, this resulted in the recommendation of 90 kg N ha−1, 30 kg P ha−1, 25 kg K ha−1, 2 t ha−1 lime, and 1 t ha−1 manure. Highly significant effects were seen where farmers participated in the TD process (TD) for soil testing (ST). The farmers’ yields in Uasin Gishu County of 4.5 t ha−1 increased by approximately 1.5 t ha−1 based on site-specific, soil-testing fertilisation recommendations and by approximately 1.0 t ha−1 based on participation in the transdisciplinary process. However, as indicated by a significant interaction of the variables ST and TD—and while there is a significant main effect of participating in a TD process—the latter increase occurs only if site-specific, soil-testing-based recommendations can be used in the transdisciplinary process with farmers.
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通过具体地点、基于土壤测试的肥料建议提高肯尼亚瓦辛吉休县小农玉米产量的努力:一种跨学科方法
本研究利用跨学科(TD)方法评估了基于土壤测试的特定地点施肥建议对玉米产量的影响。TD过程利用科学和实践中的知识。农民、推广官员、当地金融机构和其他从业者与埃尔多雷特大学的当地科学家合作,在融资、购买和施用适当数量和成分的肥料的过程中进行合作。共有144名农民参与了这项持续了两个季节的研究。数据抽样采用随机2 × 3 × 4 × 2因子完全区组设计,包括以下因素:TD(未参与与参与TD过程);ST(以下类别的土壤测试:不进行土壤测试的肥料施用,根据政府建议施用肥料,以及使用特定地点、基于土壤测试的肥料建议)和地点(Kapyemit、Kipsomba、Ng 'enyilel和Ziwa)。“无土壤测试”(ST1)类别是指农民自己的做法,平均施肥量约为60公斤N - 1和15公斤P - 1。政府建议(ST2)要求使用75 kg N - 1、25 kg P - 1和6 t ha - 1粪肥,而特定地点的肥料建议(ST3)是基于实际的土壤测试结果;一般来说,建议施氮量为90公斤,磷肥量为30公斤,钾肥量为25公斤,石灰量为2公斤,粪肥量为1公斤。在农民参与土壤测试过程(TD)的地方,可以看到高度显著的效果。wasin Gishu县农民的产量从4.5 t hm2增加了约1.5 t hm2,这是基于特定地点的土壤测试施肥建议,基于参与跨学科进程,增加了约1.0 t hm2。然而,正如变量ST和TD之间的重要相互作用所表明的那样,虽然参与TD过程有显著的主要影响,但后者只有在特定地点、基于土壤测试的建议可以在与农民的跨学科过程中使用时才会增加。
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