scholarly journals Production function analysis of cassava sole cropping systems in Akwa Ibrm state, Nigeria

2008 ◽  
Vol 14 (1) ◽  
Author(s):  
I B Adinya ◽  
O O Kuye ◽  
M U Awoke ◽  
S Ajayi ◽  
D I Agom ◽  
...  
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Saba Baba Mohammed ◽  
Daniel Kwadjo Dzidzienyo ◽  
Muhammad Lawan Umar ◽  
Mohammad Faguji Ishiyaku ◽  
Pangirayi Bernard Tongoona ◽  
...  

Abstract Background Low plant density and wide intra-plant spacing in traditional cowpea cropping systems are among the factors responsible for low yield on farmers’ fields. Sole cropping and improved intercropping systems have been advocated in the last few years to increase yield in the dry savannah areas of Nigeria. This study investigated the level of adoption of high yielding cowpea cropping systems including factors that influenced their use and farmers’ perceived production constraints and preferences. A total of 420 farmers across 36 villages of northern Nigeria were interviewed, and data collected was analyzed using descriptive statistics to appraise farmers predominant cowpea cropping systems and factors that determine the use of sole versus intercropping were identified with the aid of binary logit regression. Furthermore, pairwise comparison ranking was deployed to understand farmers’ view of cowpea production constraints and preferred traits. Results The results revealed that, many of the farmers (42%) still grow cowpeas in the traditional intercropping and a good number (25%) cultivate the crop as a sole crop, while 23% had fields of cowpeas in both sole and intercropping systems. Farmers reported the incidence of high insect pests, limited access to land, desire to have multiple benefits, and assurance in the event of crop failure as reasons for preference for intercropping over sole planting. The pairwise comparison ranking of constraints and preferences revealed insect pests, Striga, drought and poor access to fertilizers as major constraints to increased productivity. Many farmers indicated high yield as the most preferred trait. Conclusions Findings indicate a need for increased education and training of cowpea farmers on the importance of growing cowpeas in sole cropping and or improved intercropping systems. Genetic improvement efforts should focus on developing cowpea varieties that address farmers production constraints and reflect the diversity of consumers’ preferences for the crop. Hence, breeding for resistance to insect pests and high yield is recommended as an important priority of cowpea breeding programmes in the region.


1991 ◽  
Vol 21 (8) ◽  
pp. 1278-1287 ◽  
Author(s):  
David H. Newman

The analysis in this paper measures changes in forest productivity for 12 southern states using a modified, aggregate production function. The function combines cross section – time series, biological, and acreage data to estimate the shift in productivity, measured as either standing inventory plus removals or changes in inventory plus removals, over the past 4 decades. The annual shift in productivity is estimated to be approximately 0.5% for the standing volume measures used. However, productivity gains in the region have virtually stopped during the past decade. The largest contributions to productivity gains were from industrially owned lands and land managed as planted pine. Mixed pine–hardwood stands and public lands (except for plantations) showed lower productivity impacts. These results present an essential component for understanding the impact of technical change on aggregate forest productivity in the southern United States.


2017 ◽  
Vol 2 (1) ◽  
Author(s):  
. Sumartin

This study aims to  analyze the  economic, technical and price efficiency of  milkfish farmers participating fish culture training at Center of Education and Fisheries Training Banyuwangi, analyzing covering factors affecting production efficiency. Analysis of data used in the form of production function analysis Cobb Douglas stochastic frontier which is estimated by Ordinary Least Square Method (OLS). Estimation of Cobb-Douglas production function model using OLS method to know the efficiency of the average performance of fish culture business. Estimates with the maximum likelihood (MLE) method to determining the level of technical efficiency, using the 4.7 frontier computing program developed by Coelli (1996). To know the efficiency of the price can be calculated by the value of marginal product (VMP) of production factor. The results show that the level of economic efficiency of milkfish culture business in Gresik East Java, based on the results of estimation using MLE method, the result of six factors of production is in rational area, but not yet efficient because the obtained coefficient value of each area of pond (X1) 0.318, fertilizer (X2) 0.079, lime (X3) 0.009, seeds (X4) 0.005, probiotics (X6) 0.066 and labor (X7) 1.311. While one feed production factor (X5) is in an irrational area because it has a coefficient value of -0.017. While the variables that influence inefficiency are experiential variables (Z1), age of farmers (Z2) and formal education (Z3) each have elasticity of -0.0711458; -0,6270106 and -0,1504381. The value of Marginal Product (NPM) of pond production area (X1) is 0.00059 (<1), Fertilizer (X2) is greater than 1 ie 3,01413, lime production factor (X3) 3,35338, the other NPM factor production such as Seed (X4) and Labor (X7), with value less than 1 (0.00075 and 0.03865), NPM Feed (X5), is smaller than one ie -0.00364 (<1 ). NPM probiotic (X6) is 95,1491 (> 1). Overall allocation of the seven factors of production is the average value of price efficiency is also more than one that is equal to 101,553 and economic efficiency equal to 2,904. it can be concluded that fish breeding business has not been efficient. Keywords: efficiency, economy, technical, price, frontier, milkfish


2003 ◽  
Vol 48 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Ljubomir Bastajic

The study was conducted with the objective of analyzing the economic effects provoked by the change in farm size, depending on the degree of production specialization (questionnaires encompassing 30 farms of different size were used) using comparative analysis, regression analysis, correlation analysis and production function analysis. Research comprised essential parameters of business conditions on the farms and results of their business. The farms analyzed were classified according to the size of used cultivable land and degree of production specialization. In both farm groups, with different degrees of production specialization, the indices of business results were found to rise with size increase and were noticed to be the most favorable in the case of over 10 ha-farms. Comparing farms of identical size but of different degree of specialization, the following may be concluded: more favorable business results were achieved on farms with higher degree of specialization.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Erasmus Narteh Tetteh ◽  
Eric Owusu Danquah ◽  
Akwasi Adutwum Abunyewa ◽  
Caleb Melenya Ocansey ◽  
Emmanuel Amoah Boakye ◽  
...  

A three-year field trial was conducted between 2014 and 2017 in the Ellembelle and Jomoro districts of the Western region of Ghana where rubber production is common to determine the optimum population density of plantain when grown in combination with immature rubber tree crops. The trials were arranged in a Randomized Complete Block Design with 3 replications. The treatments were sole rubber, sole plantain, and three intercrops of one row of plantain in between two rows of rubber, two rows of plantain in between two rows of rubber, and three rows of plantain in between two rows of rubber. The rubber clone used was GT1 while the variety of plantain used was false horn. The results showed that population density of plantain had significant effect on the growth of the associated rubber. Growing plantain at closer spacing of 1.5 m under the high-density plantain treatment significantly increased plantain yield compared to the other cropping systems. There was a significant positive relationship between population density of plantain and the rubber tree growth and development. The optimum population density of plantain when intercropped with rubber was 1,666/ha. The study showed intercropping was advantageous over sole cropping for both crops.


2018 ◽  
Vol 111 (1) ◽  
pp. 33
Author(s):  
Yang YONG ◽  
Yue-gao HU ◽  
Mohamad Hesam SHAHRAJABIAN ◽  
Chang-zhong REN ◽  
Lai-chun GUO ◽  
...  

<p>One of the most important and sustainable cropping practice is intercropping. The study was conducted under field conditions in the arid Horqine sandy land in Baicheng District, Jilin Province, Northern China in 2011. A randomized complete block design with four replications was used. Treatments comprised different mono cropping and intercropping patterns, TO: sole cropping of oat, TOS-O: oat in the intercropping of oat and soybean, TOG-O: oat in the intercropping of oat and groundnut, TS: sole cropping of soybean, TOS-S: soybean in intercropping of oat and soybean, TG: sole cropping of groundnut, TOG-G: groundnut in the intercropping of oat and groundnut. In mono-cropping systems, oat mono-cropping obtained the highest dry matter and nitrogen accumulation in all growth stages. The maximum protein percentage in all stages except for ripening stage, were for groundnut mono-cropping. Although, the maximum organic matter in ripening stage was achieved in mono-cropping of soybean, the highest one in other stages was related to groundnut mono-cropping. In intercropping patterns, oat in oat-groundnut obtained the highest dry matter in all stages. The highest value of protein percentage and organic matter in heading stage, grain filling stage, and grain dough stage was achieved in groundnut in oat-groundnut intercropping. Furthermore, the maximum value of protein percentage and organic matter in booting stage and ripening stage was related to soybean in oat-soybean intercropping. The results of this study clearly indicate that intercropping oat and groundnut affects the growth rate of the individual species in mixtures as well as the dry matter yield and nitrogen accumulation. This information can help in the adaptation of oat- intercrops for increased forage production in new cropping systems.</p>


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