Statistical models based on morphometric traits for live body weight estimation in goats

N.A. Ouchene-Khelifi*, N. Ouchene

Veterinary sciences institute, Saad Dahleb University, Blida 1, road of Soumaa, B.P. 270, Blida 09000, Algeria

(Manuscript received 24 September 2020; accepted for publication 31 March 2021)

Abstract. The objective of this study was to develop statistical models to predict body weight from goat’s body measurements. Data on 1702 goats for circumferences of chest (CG), abdominal circumference (AC) and spiral circumference (SC), height at withers (WH), body length (BL), and body weight (BW) were analysed to study the relationship between linear body measurements and body weight. The present study revealed that in the goats from all breeds studied (Arabia, Makatia, Kabyle, M’zabite, Saanen and Alpine), the weight evolved in the same direction and at the same rate as the linear measurements chosen. The linear measurements were all significantly correlated with animal weight (p<0.001). Results indicated that Arabia goats had the highest WH (71.07 cm) and CG (17.72 cm). The highest measurements were reported in Alpine goats for AC (97.73 cm), BL (78.05 cm), SC (106.29 cm) and BW (41.60 kg). The Kabyle breed were recorded with the lowest values for the WH (64.95 cm), BL (67.58 cm) and BW (29.52 kg). The average live weight was 38.15±10.90 kg with differences according to age, sex and breed (Arabia, Makatia, Kabyle and M’Zabite). Positive and highly significant (p<0.001) correlations were observed between BW and the majority of independent variables. The highest relationship was illustrated between CG with BW (r=0.922). Linear regression analyses were performed to develop the models. The simple regression analysis found all parameters to be significant (p<0.001) (WH, BL, CG, AC and CS) and CG gave more precision on the weight when using a single measurement parameter (R2 varied between 0.950 and 0.967). Therefore, the following formula can be used to estimate the live weight of the animals using only the chest circumference (P=75*CG). The development of these equations would enable producers and researchers to predict the animal body weight and develop strategic plans for the relevant goat herds.

Energy use pattern and greenhouse gas emission in systems for greenhouse vegetable production

  1. Nourani1, A. Bencheikh2


1Scientific and Technical Research Center on Arid Regions (CRSTRA), University Campus Mohamed Khider, Biskra, Algeria

2Science of Nature and Life Department of SNV, The African University Ahmed Draia, Adrar, Algeria


(Manuscript received 5 June 2019; accepted for publication 25 July 2019)


Abstract. Algeria has experienced a notable agricultural development driven by a prosperity in market gardening in plastic greenhouses due of the favorable climatic conditions and the government’s policy. For that, a survey has been conducted in order to determine the energy use pattern for greenhouse vegetable production, also to estimate the greenhouse gas (GHG) emission for this system of production in Biskra province, Algeria. The results revealed that the total energy required for vegetable protected production is 119.68 GJ per hectare where the infrastructure was the highest energy consumer followed by the electricity and fertilizers with a share of 22%, 20% and 19%, respectively. The energy use efficiency (energy ratio) was calculated as 0.82, showing the inefficiency use of energy in the protected vegetable production. The inputs of farmyard manure, followed by infrastructure and electricity in greenhouse vegetable production generated the highest proportion of gas emissions with values 35%, 33% and 23%, respectively. According to these results, management of electricity and diesel fuel consumption are possible using solar energy to decrease total GHG  emission in greenhouse vegetable production in Biskra province.