Optimum crop combinations under limited resource conditions: a microlevel study in Yauri, Kebbi State, Nigeria

Tanko, L.; Onyenweaku, CE; Nwosu, A. C.

doi:10.4314/naj.v37i1.3222

Cited by 10 publications

(12 citation statements)

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“…This conforms to the findings of several workers (Imodu, 2005;Njoku, 2005;Onyenweaku and Nwaru, 2005;Tanko et al, 2006) which confirmed that agricultural performance has declined in Nigeria. It has been noted also that agricultural productivity has slipped into a system decline, particularly in the past three decades since the petroleum industry replaced the sector as the main earner of government revenue and foreign exchange earnings (NISER, 2004).…”

Section: Resultssupporting

confidence: 77%

“…Combinations of farm enterprises with the aim of increasing the level of farm resource and making efficient use of resources already committed to the food sub-sector was advocated by Tanko et al (2006). Stabilisation policies to reduce inflation and subsidies in the form of cheap credit was suggested by Okoye (2006) to assist farmers in acquiring inputs.…”

Section: Introductionmentioning

confidence: 99%

“…Tanko et al (2006) averred that Nigeria's food deficient situation has been worsened by declining farm productivity owing to inefficient production techniques, poor resource base and declining soil productivity among others.…”

Section: Introductionmentioning

confidence: 99%

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Productivity growth in food crop production in Imo State, Nigeria

Onyenweaku¹,

Nwachukwu²,

Opara³

2011

African Crop Science Journal

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Agriculture plays pivotal roles in Nigeria including food security, employment, foreign exchange earnings and poverty reduction. This study examined the growth in food crop productivity in Imo State in Nigeria with emphasis on the decomposition of total factor productivity (TFP) into technical progress, changes in technical and allocative efficiency and scale effects. A panel data set comprising 210 observations drawn over 2001 -2007 periods was used. Using the translog stochastic frontier production function, the decomposition components were computed. The results showed that TFP decreased through time, while technical change was negative, implying downward shift of the production frontier. As a major component, technical change was the main constraint to the achievement of high levels of TFP during the study period. The scale effect, which is generally bigger than technical change component shows that the sampled farms had not taken advantage of scale economies. Furthermore, the allocative efficiency had an average magnitude closer to the scale effect and points towards decreases in the efficiency with which production factors are allocated. This is an indication of a decline in technical efficiency. We suggest reforms in the Agricultural Development Programmes (ADPs) geared towards enhancing their capacity in extending novel technologies and innovations to farmers.

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Section: Resultssupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

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Productivity growth in food crop production in Imo State, Nigeria

Onyenweaku¹,

Nwachukwu²,

Opara³

2011

African Crop Science Journal

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“…In recent years, models have been developed for solving problems relating to crop selection and land management, like the work of Sante and Crecente [6], Hassan et al [16], Tanko et al [17], Nedunchezhian and irunavukkarasu [18], and Manos et al [19]. Moreover, linear programing technique has been highlighted by Igwe et al [20], as an efficient method of resource allocation in production planning, particularly in achieving increased agricultural productivity, and this has been applied to determine optimum enterprise combination in the work of Bamiro et al [21].…”

Section: Introductionmentioning

confidence: 99%

Agricultural Model for Allocation of Crops Using Pollination Intelligence Method

Ejieji

Akinsunmade

2020

Applied Computational Intelligence and Soft Computing

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An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated Algorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm called Pollination Intelligence Algorithm using an iterative scheme to override the switch parameter in Flower Pollinated Algorithm is also presented and used in solving the designed model. A case study of a farmer in Ife, Osun State, Nigeria, was used to implement the model, and the results obtained suggested that instead of allocating crops to land randomly based on farmer’s intuition, cost of planting, yield of crops, and market price were factors that must be considered by farmers for optimal profit before planting crops.

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“…The availability of labour has been found to have impact on planting precision, better weed control, timely harvesting and crop processing [5]. According to Tanko, Onyenweaku and Nwosu [6], Nigeria's food deficient situation has been worsened by declining farm productivity owing to inefficient production techniques, poor resource base and "insufficient farm labour" supply among others, Francis [7] reported that labor supply could be a barrier to adoption of a more sustainable agriculture as a result of ageing farm operators, deteriorating health through diseases and seasonal nature of farming. labour has been found to constitute a large proportion of cost in the food crop production process in Nigeria and its productivity has become increasingly low because farm households largely comprised fairly old people and very young children coupled with the use of crude implements which impede their ability to raise yield of food crops and income with subsequent reduction in poverty level.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Farm Labour Constraints in Esan West Local Government Area of Edo State, Nigeria

Idiake-Ochei¹

2019

SARJAF

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The study assessed the farm labour constraints in Esan west local government area of Edo state, Nigeria. Specifically, it identified the types of farm labour used for some farming activities and also ascertained the constraints faced by farmers in using farm labour. Survey method was used to sample 108 respondents from four (4) purposively selected villages in the study area. Data were analyzed using descriptive and inferential statistical tools. The result revealed that Most of the respondents used family and hired labour in carrying out most of their farming activities. The major constraints of the farmers in the study area were high cost of labour (mean = 2.84) and lack of finance (mean = 2.83). The result also revealed that there was a significant difference among the constraints faced by the respondents with high cost of labour (mean rank = 3.456) being the most significant serious constraint. It was recommended that the farmers organise themselves into associations to assist each other rotationally in terms of providing labour.

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Optimum crop combinations under limited resource conditions: a microlevel study in Yauri, Kebbi State, Nigeria

Cited by 10 publications

References 0 publications

Productivity growth in food crop production in Imo State, Nigeria

Productivity growth in food crop production in Imo State, Nigeria

Agricultural Model for Allocation of Crops Using Pollination Intelligence Method

Assessment of Farm Labour Constraints in Esan West Local Government Area of Edo State, Nigeria

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