Research Article

Effect of Linear and Non-Linear Estimation of Fish Mortality on Feed Conversion Rate and Economic Profitability of Oreochromis shiranus in Cages

Phiri Francis^1,2*, Singini Wales², Kapute Fanuel² and Jere Bob²

¹Department of Fisheries, Chisitu Fisheries Research Station, Africa

²Department of Fisheries and Aquatic Sciences, Mzuzu University, Africa

Submission: July 27, 2018; Published: August 24, 2018

*Corresponding author: Phiri Francis, Department of Fisheries, Chisitu Fisheries Research Station, Chisitu, Mulanje, Malawi, Africa, Po Box: 105, Tel: +265888358737/+265999606727, Email: phraphiri@yahoo.co.uk

How to cite this article: Phiri F, Singini W, Kapute F, Jere B. Effect of Linear and Non-Linear Estimation of Fish Mortality on Feed Conversion Rate and Economic Profitability of Oreochromis shiranus In Cages . Ann Rev Resear. 2018; 3(2): 555606. DOI: 10.19080/ARR.2018.03.555606

Abstract

This study was conducted to investigate the effect of linear and non-linear methods of estimating fish mortality on feed conversion ratio (FCR) and profitability of cage cultured Oreochromis shiranus (Makumba). Two treatments were used, designated as T₁ and T₂ and were replicated three times. In each cage, 105000 fish were stocked at an initial average body weight of 1.59±0.04g and cultured for 365 days. The fish was fed twice a day with formulated feed (36% Crude Protein) at 4-1% body weight with feed adjustments based on standing biomass from linear and non-linear estimated mortality. The results showed that there were significant differences between the two treatments on FCR

. Final mean weight was 179.41±7.71g and feed conversion ratio was 1.64±0.15 for T₁ and 177.56±8.27g and 1.54±0.14 respectively for T₂. Profitability of the two treatments was calculated by enterprise budgeting. There were significant effects on gross margin between the two treatments Gross margin values were K302,523,924.30 for T₁ and K356,065,320.29 for T₂. The study concludes that use of non-linear method of estimating fish mortality affect feed conversion ratio and economic profitability of Oreochromis shiranus cultured in cages. It is therefore recommended to use non-linear method of estimating fish mortality if farmers are to reduce FCR and maximize profits from the cage culture of Oreochromis shiranus as feed wastage due to feed overestimation resulting from miscalculation of mortality, can be minimized by 15.77%.

Keywords: Feed conversion ratio, Profitability, Linear, Non-linear, Mortality, Oreochromis shiranus

Introduction

Fish catches in Malawi’s natural waters have experienced a sharp decline over the past decades, and as reported by Morgan in [1] sustainability of the fish stocks is not likely, given the demand for fish in the country. This development contributed to the increased emphasis on developing aquaculture as a major source of fish and rural income. Aquaculture now occupies a strategic position in the fisheries sector in Malawi. Development of a viable and sustainable cage aquaculture industry has therefore been identified by the Government of Malawi (GoM) as a flagship programme [2]. According to Balarin & Haller as reported [3] fish growth in aquaculture is a result of several factors such as proper doses of fertilizer application, regular feeding, optimum stocking density, maintenance of physico-chemical factors, disease prevention and various control measures. The success of cage culture production as in all forms of aquaculture systems is therefore dependent on fish survival rate and how fast the fish grows to table size with reduced production inputs. Fish like any other living organism undergo several life series events among which growth and risks to life are. Fish in its lifetime is exposed to and must overcome several risks including: predation, starvation, disease and theft, all of which result into fish mortality [4]. Fish losses in cage culture come about due to death (mortality) escapes and theft. According to [5] fish can die at any time within the culture period, but small fish are more vulnerable to cannibalism, bird predation, water quality imbalance, and disease than larger fish. This means that majority of the mortality occurs in small fish as compared to bigger fish. Fish mortality rate (MR) is often established using the estimated numbers method by use of historic records [6]. This can be expressed as linear and non-linear method of estimating mortality. In Malawi, like with most farmers in the region, fish mortality is estimated using linear method, where it is assumed that fish die at a constant rate along the production cycle. However, in non-linear estimation method, mortality is high at juvenile stage and almost insignificant at adult stage/table size. As reported by [6] feed requirements are calculated based on estimated standing biomass in the cage. This biomass is determined taking into account mortality levels along the production period. Most Malawian farmers using the estimated numbers method, experience a 30% mortality rate in their cages.

Use of enough feeds that can be fully ingested and utilized by the fish is of paramount importance in commercial as well as small scale aquaculture. Feed wastage through application of excess feed based on poor stock assessment or cage biomass projections has contributed to loss of feed and consequently high production costs. The key challenge has been, and continue to be poor estimation of fish feed, which is caused by miscalculation of mortality or fish loss which in turn affect feed conversion ratios as well as farm economic performance. Over-estimation of feed emanating from underestimation of fish mortality can result in higher FCR values, while under-estimation of feed from overestimation of fish mortality results into unrealistic FCR values. Most farmers in Malawi use linear estimation of fish mortality, where mortality is believed to occur throughout the culture period at a constant loss-rate. Use of linear estimation method can bring over-estimation of the standing-crop biomass hence an over-estimation of feed during calculation of feed rations, resulting into high feed conversion ratios. This is counterproductive and can lead to abandonment of fish culture due to high economic losses. The present study used FCR in analysing productivity due to its direct linkage and capacity to estimate feed (input) potential in attaining fish growth (output). The study also used gross margin analysis to assess profitability potential of the mortality estimation methods since gross margin use variable costs to estimate the profitability prospect of an enterprise against its revenues by looking at whether an enterprise will cover its production costs. Therefore, the aim of the study was to investigate the effect of linear and non-linear estimation of fish mortality on feed utilisation and economic performance of Oreochromis shiranus in cages.

Material and Methods

Area of study

The study was conducted between December 2011, and January 2013 at the Malawi Development Corporation (MALDECO) Aquaculture Ltd in Mangochi District, Southern Malawi Figure 1. MALDECO lies at a latitude of 19º19.982΄S, and a longitude of 35º09.149΄E.

Study design

The study used secondary data collected by MALDECO Aquaculture Limited. Six floating cages of 14.7m diameter and approximately 6m depth were stocked, each with 105,000 Oreochromis shiranus fingerlings of 1.59±0.04g average body weight (ABW) placed in Lake Malawi. The fish was subjected to two treatments where in T₁ fish mortality was estimated using linear method, while in T₂ fish mortality was estimated using non-linear method. Standing fish biomass was used to calculate approximate feed requirements in each of the respective cages. The treatments were replicated three times, and the fish was cultured for a period of 365 days.

Feeding of experimental fish

The fish was fed in the morning and afternoon at 9:00hrs and 14:00hrs respectively, with formulated feed of 36% crude protein (CP) from MALDECO Aquaculture’s Feed Milling Section. Feeding rate was adjusted from 4% of total body weight during the first and second month, to 3% of total body weight for the third and fourth month, and 2% of total body weight for the fifth, sixth and seventh month and finally 1% of total body weight for the remainder of the culture period. Feed was administered by broadcasting and was presented as dry pellets.

Data collection

MALDECO collected data on fish mortality, weight of fish feed used, fish growth, production costs and fish sales. Data on fish mortality and feed was collected on daily basis, while data on growth and production costs was collected on monthly basis. Data on fish sales was collected at the end of the production cycle. Fish mortality was monitored twice every day during feeding trips and divers were monitoring fish carcasses that sunk to the bottom of the cage once every week. The initial total body weight of the fish (kg) was recorded at the time of stocking, and the fish was sampled to monitor fish growth every last day of the month. Fish growth data was used as a mechanism to dictate adjustments in feeding rates respective of average body weight. To avoid biasness, fish samples were collected by random sampling. Numbers of fish dying were recorded on daily basis throughout the research period and this assisted in adjusting feed requirements in the cages respective of standing biomass. The sampling exercise was conducted early in the morning between 6.00hrs and 9.00hrs. A seine net was used to seine fish from the cages to get a representative sample, while a scoop net was used to get fish samples from the seined fish which was batch-weighed using a standard weighing scale. A sample size of 500 fish from each cage was used at every sampling interval, and batch weights were used to calculate average body weight. After 365 days of culture, all the fish in the cages was harvested. The fish was counted to calculate total mortality figures, and final body weight was measured to determine fish growth.

Data Analysis

Growth indices were estimated using the following formulas:

Mean weight gain (MWG)

Where: WT₂ is final mean weight of fish at time T₂, WT₁ is initial mean weight of fish at time T₁.

Mortality Rate (MR) %

Where: M is natural mortality, N is number of fishes stocked.

Feed Conversion Ratio (FCR)

Where: F is amount of feed used (g), MWG is Mean Weight Gain.

Economic indicators were calculated using the following: -

Gross Margin (GM)

Where: TR is Total Revenue, TVC is Total Variable Cost.

Return to Variable Cost (RVC)

Where: GM is Gross Margin, TVC is Total Variable Cost.

Break-even Yield (BEY)

Where: TVC is Total Variable Cost, P is Price of product (output).

Break-even Price (BEP)

Where: TVC is Total Variable Cost, Y is Yield (output).

Data was entered and analysed using Statistical Package for Social Scientists (SPSS) version 16.0. Microsoft (Ms) excel 2007 was used to generate graphs. Hypothesis testing was done by Chi-Square test at 95% confidence interval.

Results

Growth performance

To assess feed efficiency in the two treatments, various production characteristics were calculated using Equations 1-3, and presented in Table 1. Fish growth over the experimental period was not different despite fish being subjected to different treatments in estimation of mortality.

Values = Mean± SE

Feed Conversion Ratio

Figure 2 present results of calculated FCRs to evaluate effect of the two treatments on feed efficiency.

Chi-square test results showed that there were significant variations in FCR between linear (1.64±0.15) and non-linear

Profitability

To assess effect of linear and non-linear estimation of mortality on the profitability of O. shiranus, economic performance parameters for the 53 cages were estimated and calculated using Equation 4-7 as presented in Table 2. Profitability analysis results through enterprise budgeting showed that feed for linear treated cages accounted to 77.73% of total variable costs, while for non-linear cages feed contributed 74.62% to total variable costs. Linear treatment produced a yield of 10.47kg/m3 and to break even, the harvested biomass needed to exceed 6.54kg/m3 for linear, against 5.74kg/m3 for nonlinear treated cages which produced a yield of 10.36kg/m3. T₂ registered a bigger Gross Margin of MK356,065.29 for a return to total variable cost of 80% and return to feed of 108% on a realised revenue of MK799,130,178.09, compared to a Gross Margin of MK302,523,924.30 for a return to total variable cost of 60%, and a return to feed of 77% on revenues of MK807,532,281.70 for T₁. Chi-Square results showed significant effects of linear and nonlinear mortality estimation on gross margin,

.

Discussion

Effect of mortality estimation methods on FCR

Results from effect of mortality estimation methods on FCR showed that there were significant differences between use of linear and non-linear methods . This demonstrates that mortality estimation methods affect feed conversion ratios of fish in cages. These results suggest that use of non-linear fish mortality estimation methods result into significant changes in the calculated feed conversion ratio in cage cultured O. shiranus. Specifically, the results suggest that when adjusting fish feed based on non-linear method of estimating fish mortality which on average reduces fish feed by 15.77%, the fish used statistically lower amount of feed to grow 1kg of fish muscles. This agrees with [8] who suggested that overfeeding wastes feed and result into higher FCR. The differences in feed between the two treatments, can be attributed to overestimation of biomass during the first three months of culture in linear treated cages where mortality rate was higher in non-linear (28.37%) than in linear (7.5%). This agrees with [9] who also found that FCR is affected by miscalculation of mortality estimates. However, the yielding of lower FCR by non-linear method, as reported by Bhijkajee & Gobin in [10] suggests efficient food utilization through the extraction of more nutrients from the food and converting it into flesh. The recorded FCR agrees with what was earlier reported that FCR for Tilapia in cages range from 1.4 to 2.5 [9].

Effect of mortality estimation methods on profitability

The results from effect of mortality estimation methods on profitability showed that there were significant differences between use of linear and non-linear methods

. This demonstrates that mortality estimation methods affect profitability of fish in cage culture. Use of non-linear estimation of fish mortality ensures that more profits are realized as opposed to the use of linear fish mortality estimation. This can be attributed to differences in feed estimates between the two methods in which non-linear used slightly less feed by 15.77%. The results agree with [8] who suggested that feeding and feed costs represent the single largest component of operating costs and the quality of feed and the way it is used are significant determinants of profitability. The differences in feed between the two treatments can be credited to overestimation of biomass during the first three months of culture in linear treated cages where mortality rate was higher in non-linear (28.37%) than in linear (7.5%). This means that use of linear method overfed the fish by 20.73% during the period. This result agrees with [11] who reported that accurate, detailed and complete records can help fish farmers to provide control over the business and improve the management and efficiency of the farm, provide a basis for farm credit and financing, determine the relative profitability of various production techniques or systems, and provide information for government programs. Farmers using linear method of estimating fish mortality therefore lose 17.70% of their potential profits than those using non-linear method of estimating fish mortality, translating into 10.60% of total operational costs.

Conclusion

From this study, “the effect of linear and non-linear estimation of mortality on feed conversion rate and profitability of Oreochromis shiranus cultured in cages”, which was to investigate on the lack of efficient fish mortality estimation method, it can be suggested that use of non-linear method, has significant effect on feed conversion ratio by yielding lower FCR than linear method. On the objective of assessing profitability calculated based on linear and non-linear mortality estimation methods in cage cultured O. shiranus, the study also concludes that non-linear method has significant effect on profitability by yielding more profits than linear method. Therefore, for the attainment of profit-oriented cage culture, farmers must aim at lowering feed conversion ratios and reducing production costs to bring about increased profits by ensuring conscious estimation of fish mortality to reduce miscalculation of feed.

Acknowledgements

The authors would like to give special thanks to Dr Daniel Jamu (then Aquaculture Manager) and Management and staff of MALDECO Aquaculture Ltd for their support in making the study a success.

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