Annual cropped area expansion and agricultural production: implications for environmental management in Benue State, Nigeria

Terdoo, Fanen; Gyang, T; Iorlamen, T.R.

doi:10.4314/ejesm.v9i4.4

Cited by 2 publications

(3 citation statements)

References 12 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The harvested area has contributed, more positively than the yield, to cassava production in Nigeria [31]. However, an increasing number of scholars have argued that such agricultural production system is not sustainable for many reasons including environmental implications [32] and food insecurity implication [33]. Similarly, [34] also argued that the widespread infrastructural development that is anticipated in many high food-producing countries in SSA might constrain food production that is dependent on the continual expansion of the land area.…”

Section: Challenges and The Prospect For Future Cassava Production In Nigeriamentioning

confidence: 99%

“…When these are matched, it is apparent both followed the same trend and such clearly suggests that increasing production still largely depends on the expansion of the cultivation area. Scholars have argued that this approach of cultivating more land without recourse to labour and land productivity is not sustainable [34] and [32]. Thus, this has necessitated the promotion of efficient cassava production systems across developing countries [11,10].…”

Section: Descriptive Statisticsmentioning

confidence: 99%

See 1 more Smart Citation

Future Trends in Cassava Production: Indicators and its Implications for Food Supply in Nigeria

Ikuemonisan

Akinbola

2021

AJAEES

View full text Add to dashboard Cite

The growing demand for cassava and its products has continued to stretch the supply of cassava globally. Nigeria is a leading producer of cassava in the world yet, there are concerns that if appropriate policy strategies are not adopted to increase production, the current fragile situation of food insecurity in Nigeria may be worsened. Besides the increasing number of gigantic cassava-based industries spring up in Nigeria, the rapidly growing population of consumers is another factor that may further disrupt the relatively stable cassava market in Nigeria in the future. Therefore, “ceteris paribus”, the study determined the appropriate quantitative models to forecast the trends in cassava production indictors in Nigeria. Using the historical series (1961 – 2018), 12-year period (2019 -2030) forecasts were made for each of the production indicators as follows: 106 million tonnes (production output), 7.7 tonnes/ha (yield) and 9.6 million hectares (cropped area) in 2030. The study extrapolated the expected food supply from the expected production output in the forecast period using the 2014 FAO estimates of food supply per caput. Thus, in 2030, cassava food supply per caput was found to decline from 267 Kcal/capita/day in 2014 to 239 Kcal/capita/day. The study concludes that despite keeping the future demand of the growing cassava-based industries constant, cassava production is expected to continually increase but future food supply per caput would decline. However, the growing cassava-based industries globally is expected to hugely influence the future cassava market dynamics.

show abstract

Section: Challenges and The Prospect For Future Cassava Production In Nigeriamentioning

confidence: 99%

Section: Descriptive Statisticsmentioning

confidence: 99%

Future Trends in Cassava Production: Indicators and its Implications for Food Supply in Nigeria

Ikuemonisan

Akinbola

2021

AJAEES

View full text Add to dashboard Cite

show abstract

“…In this work, suitability data of three crops grown in Benue State, Nigeria, were used as well as remote sensing adopted from Abah and Petja [20]. Descriptive statistics of annual crop area in the region between the year 1989 and 2011 obtained from Benue State Agricultural Development Authority (BNARDA) Markurdi, was harvested from Terdoo et al [21]. The mean data of crop area were expressed based on the suitability map obtained for cassava, yam and rice with a total of 1,225,493 hectares of land mapped out for cultivation in Benue State, Nigeria.…”

Section: Model Implementationmentioning

confidence: 99%

Land Suitability and Crop Pattern Model using Integrated Pollination Intelligence Algorithm and Remote Sensing

Akinsunmade

Ejieji

2020

EJMS

View full text Add to dashboard Cite

A mathematical model for crop pattern coupled with economic and environmental factors of agricultural production constructed with remote sensing and metaheuristic based algorithm is considered in this work. The model is expected to serve as a support system for farm managers' decision making process. Geographic data showing soil properties of major cities in Benue State, Nigeria using remote sensing, was integrated to the model to obtain analyzed suitability information for selected crops. A class of modern optimization algorithms was thereafter used to find optimum cropland pattern. A net production value of $1,592,107,000.00$ was obtained by using the model compared to an initial production value of $1,364,460,000.00$ recorded in the study area. The study suggests that soil properties must be considered along side with economic factors before choosing the types of crop to be planted on a piece of land. This study has shown the efficacy of optimization tools which should be dully employed by farmers in decision making process. The data used to support the findings of this study are included within the article.

show abstract

Annual cropped area expansion and agricultural production: implications for environmental management in Benue State, Nigeria

Abstract: This paper assesses the relationship between annual cropped area expansion and crop output and discusses the implication of such a relationship for environmental management in

Cited by 2 publications

References 12 publications

Future Trends in Cassava Production: Indicators and its Implications for Food Supply in Nigeria

Future Trends in Cassava Production: Indicators and its Implications for Food Supply in Nigeria

Land Suitability and Crop Pattern Model using Integrated Pollination Intelligence Algorithm and Remote Sensing

Contact Info

Product

Resources

About