ASSESSMENT OF WEIGHT GAIN OF INDIGENOUS AND EXOTIC BREED OF BROILERS IN UYO, AKWA IBOM STATE

ASSESSMENT OF WEIGHT GAIN OF INDIGENOUS AND EXOTIC BREED OF BROILERS IN UYO, AKWA IBOM STATE

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ABSTRACT

This study was proposed to assessed the weight gain of indigenous and Exotic breed of broilers. The experiment was carried out at the Agricultural Education research/skill acquisition farm, University of Uyo, Uyo. A total number of 50 indigenous breed of birds were raised under intensive supervision for 9 (weeks). 50 day old Exotic breeds of poultry were purchased from a reliable poultry farm and raised on deep litter system. For 9 (weeks). Three research questions and hypotheses were raised. The parameter measured were live body weight gain, feed consumed and source of feeds. Data collected were subjected to descriptive statistics to obtain the mean, standard deviation and the variance for research question. Independent t-test was employed to test hypotheses. Findings showed that breed and age of birds had significant (P < 0.05) effect on the performance of poultry broilers. Exotic breed of broilers had higher mean value and was superior to indigenous breeds of poultry in body weight gain. The indigenous breeds of poultry had a lower mean score and had a poor performance interms of live body weight. The overall performance of Exotic breeds was better as compared to indigenous breeds of poultry. In conclusion, Exotic breeds was adjudged good and profitable and was recommended to poultry farmers in Akwa Ibom State for increased productivity, income maximization and profit making since the grow and mature faster than the indigenous breeds of poultry. 


(Age) Research question 2: Is there any difference in the weight gain of exotic and indigenous breeds of poultry based on body weight gain?

Table 1

Live body weight gain

X1

X2

X1 – X1

X2 – X2

(X1 - X1)2

(X2 – X2)2

Week 1

0.15

0.12

0.2

0.12

0.04

0.0144

Week 2

0.36

0.26

-0.0

-0.02

0.0001

0.0004

Week 3

0.65

0.45

-0.3

-0.21

0.09

0.0441

Week 4

1.03

0.62

-0.68

-0.38

0.462

0.1444

Week 5

1.46

1.24

-1.11

-1

1.232

1

Week 6

1.91

1.35

-1.56

-1.11

2.433

1.2321

Week 7

2.76

1.65

-2.41

-1.41

5.808

1.9881

Week 8

3.20

1.93

-2.85

-1.69

8.123

2.8561

Week 9

3.88

2.15

-3.53

-1.91

12.46

3.6481

15.4

9.77

30.6481

10.9277

X1 =  åx            X2 = åx     =  9.77

        N                      N           40   =   0.24

15.4          =      0.35

44


Using mean and standard deviation were use to calculate for the differences in the variable.

S      =      (åX1 – X1)2

                                              N – 1

                        = S =        30.6481

                                        44 – 1









 


                        =              30.6481

                                           43

                        = 5.5361                    S12 = ( 1.2875)2

                                43

                        = 1.2875


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