Abstract. Chickens kept under free-range, backyard or semi-intensive systems in the developing countries have more diverse use and benefits to rural households. Their use varies from region to region and from community to community within a region. The study investigated growth, laying performance and survivability of six improved dual-purpose breeds in five agroecologies of Nigeria represented by the following states: Kebbi (Sudan savanna/northern Guinea savanna); Kwara (northern Guinea savanna/southern Guinea savanna); Nasarawa (southern Guinea savanna/derived savanna); Imo (lowland rainforest/swamp); and Rivers (freshwater swamp/mangrove swamp). On-farm data were obtained from 2100 smallholder poultry farmers that received an average of 30 birds (mixed sexes) of any one of the following dual-purpose breeds (Fulani, FUNAAB Alpha, Kuroiler, Noiler, Sasso and Shika-Brown) randomly allocated to them. The farmers used the backyard, scavenging system of management. Body weight and mortality records for cocks were taken for 18 weeks, while body weight, mortality, egg production and egg weight data were collected for hens up to 72 weeks. Compared with the local cocks (680 g), Kuroiler (1391 g), Sasso (1398 g) and Noiler (1461 g) had over 200 % body weight at 18 weeks. Hen day egg production (HDEP) was higher in Shika-Brown (45.9 %), FUNAAB Alpha (45.8 %) and Kuroiler (45.7 %) compared with the other breeds. Fulani, FUNAAB Alpha and Shika-Brown had higher survivabilities (p<0.05) than Noiler, Sasso and Kuroiler. Ranking of the breeds for growth, laying performance and survivability was as follows: Shika-Brown/Sasso > FUNAAB Alpha/Noiler > Kuroiler > Fulani. The performance of the breeds was significantly (p<0.05) influenced by the agroecologies. The cock body weights for Fulani (1121.1 g), FUNAAB Alpha (1502.4 g) and Noiler (1459.2 g) were highest in Kebbi, while for Kuroiler (1561.0 g), Sasso (1695.9 g) and Shika-Brown (1131.6 g) cock body weights were highest in Imo. Across the states, Imo had the highest HDEP (62.8 %). Overall, the lowland rainforest/ freshwater swamp agroecologies supported the highest production performance of the breeds.

In this (modest) study, we developed artificial neural network (ANN) models for predicting body weight using various independent (input) variables in eight-week old New Zealand white purebred and crossbred rabbits. From the whole data sets of similar age groups, 75 percent were used to train the neural network model and 25 percent were used to test the effectiveness of the model. Five predictor variables were used viz, breed, sex, heart girth, body length and height at wither as input variables and body weight was considered as dependent variable from the model. The ANN used was multilayer feed forward network with back propagation of error for efficient learning. Our ANN models (with R 2 = 0.68 at ten thousand iterations, and R 2 = 0.71 one million iterations) performed better than traditional multivariate linear regression (MLR) models (R 2 = 0.66) indicating that the ANN models were able to more accurately capture how the variations in input variables explained the variations in body weight. It is concluded that ANN models are more powerful than MLR models in predicting animals' body weight. Nonetheless, we recognize that fitting an ANN model requires more computation resources than fitting a tradition MLR model but the benefits of its accuracy outweigh any demerit from the associated computation overhead.

Infant formula is a synthetic version of mother’s milk and belongs to a class of food materials known as dairy substitutes. This study was designed to evaluate the proximate composition of some selected infant formula sold in Makurdi metropolis. Six (6) different brands of infant formula samples were purchased from the major markets, Wadata market and North bank market Makurdi Benue State, North Central Nigeria. The six different brands comprise of three (3) infant milk formulae and three (3) infant cereal formulae. Samples on some Selected Infant Formulae were analysed in the laboratory for proximate composition and the data were subjected to Analysis of Variance to rank the significant differences in means. There were significantly different (P<0.05) across the selected infant formulae sample for moisture, ash, crude protein, crude fate, crude fibre and carbohydrates. The result shows that FRISOGOLD significantly (P<0.05) has the highest moisture content (11.60%) with cowbell having the lowest (2.45%) while the ash content of cowbell was found to be the highest compared to other formulae. In conclusion, the commercial baby food samples (MYBOY, NAN and cowbell) have a low moisture content which suggests an asset as this prolongs the shelf life and also inhibits microbial activity on these products thereby preventing spoilage.

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