The present study was conducted at the division of Post-Harvest Technology, ICAR-Central Avian Research Institute, Izatnagar in the year 2019 with due consent from the Institute’s Animal Ethics Committee (IAEC). A total of one hundred and twenty-eight day-old broiler chicks (n=128) of CARIBRO-VISHAL were procured from broiler farm, ICAR-Central Avian Research Institute, India, which were allotted randomly in four experimental groups in a completely randomized design (CRD). Each treatment group included 4 replicates with 8 chicks in each making a total of 32 chicks per treatment group. The broiler birds were raised under the standardized conditions of a deep litter system using paddy husk as a litter material with a floor space provision of 0.5-1 square ft per bird. Initially, the birds were provided with 23 hrs light with the light intensity of 3-4 foot-candle which was then reduced up to 16-18 hours with the light intensity of 0.5-1 foot-candle. On the first day, the brooding temperature was maintained around 95 °F which was then reduced 3-5 °F weekly till it reached 70 °F. The birds were reared for a period of 28 days to assess the effect of feeding of
L. fermentum NKN51 in slow-growing broilers in the early phase of life (pre-starter and starter period). The culture of
Lactobacillus fermentum NKN51 was isolated from Yak cottage cheese samples of Himachal Pradesh by the Indian Institute of Technology, Roorkee, India and was revitalized with the use of MRS broth and agar. Each of the four treatment groups were fed different levels of
Lactobacillus fermentum along with the basal feed
i.e. T1 (basal feed +
L. fermentum @ 10
7 cfu
/gm of feed), T
2 (basal feed +
L. fermentum @ 10
6 cfu
/gm of feed), T
3 (basal feed +
L. fermentum @ 10
5 cfu
/gm of feed) and T
4 (basal feed only). The T
4 was served as the control group. The components of the basal diet have been summarized in Table 1
(Mandal et al., 2013). During the experimental period of 28 days, growth performance parameters including weekly body weight, feed intake and feed conversion ratio (FCR) were evaluated. The
in-vivo cell-mediated immunity response was evaluated as per the methodology of
Cheng and Lamont (1988) on 25
th day post-hatch (n=8) as a response to phyto-haemagglutinin type P (PHA-P), whereas the humoral immunity was evaluated by using the method of Siegel and Gross (1980) with slight modification by injecting 1 ml of 1% sheep RBC suspension intravenously at 22
nd day post-hatch in broilers (n=8). On the 28
th day (5 days post-immunization), 2 ml of blood was collected from the jugular vein, after which, immune serum was harvested and determination of antibody titer was done by haemagglutination test (HA) in which, the reciprocal of the highest dilution showing clear agglutination was taken as the end titer which was expressed as log
2. Further, the gut microbiology was conducted as per the methodology of
Tatini et al., (1984), where samples (n=8) of the caecal contents were serially diluted in 0.85% sterile saline solution to evaluate the
Lactobacillus, total plate and
E. coli counts using lactobacilli MRS agar, plate count agar and EMB agar, respectively. The colony counts were noted from the countable dilutions and were expressed as log
10 value of colony forming units per gram of intestinal contents (log
10 cfu/g). In addition to these parameters, jejunal histomorphometry was also done for each of the treatment groups (n=8) to measure villus height, villus width, crypt depth, crypt width, villus height-crypt depth ratio and intestinal absorptive surface area. The formula used for calculating the mean absorptive surface area as follows
(Kisielinski et al., 2002).
M = (villus W x villus L) + (villus W/2 + crypt W/2)2- (villus W/2)2/ (villus W/2 + crypt W/2)2
Where,
M = intestinal absorptive surface area, villus W = mean width of villi, villus L = mean length of villi and crypt W = mean width of crypts.
The data obtained for each of the parameters were subjected to test of significance by analysis of variance (one way ANOVA) as per the methodology of
Snedecor and Cochran (1994) using IBM-SPSS software package. The statistical significance was expressed as P<0.05 using Duncan’s multiple comparison tests to compare means.