Livestock Research for Rural Development 24 (12) 2012 | Guide for preparation of papers | LRRD Newsletter | Citation of this paper |
Evaluations were carried out on milk production (daily milk production, total milk production and lactation length) and growth parameters (weight, height to the tourniquet, length scapulo-ischiale, thoracic perimeter, back length and hip width) on Guéra goats in Kayes, Mali..
Average daily milk yield was 1.9 liters, varying from 1 to 3 liters, during the 142 days of lactation, for a total milk production of 262 liters per goat. Milk yield increased to the number of birth has been observed.
Average birth weight was 2.14 kg, regardless of sex. On the other hand, weight of single kids was significantly superior to those of doubles and triples. Adulthood average weight was 35 kg for the females and 42 kg for males.
Key words: growth parameters, evaluating milk yield
Des évaluations sur les paramètres de production laitière (production laitière quotidienne, production laitière totale et durée de lactation) et de croissance (poids vif, hauteur au garrot, longueur scapulo-ischiale, périmètre thoracique, longueur du dos et largeur de la hanche) ont été faites sur le chèvres Guéra à Kayes, Mali. La quantité journalière moyenne de lait a été 1,9 litres variant de 1 à 3 litres pendant 142 jours avec une production laitière totale par chèvre de 262 litres. L’augmentation des performances quotidiennes de lait en fonction du rang de mise bas a été observée.
Le poids moyen des chevreaux à la naissance à été 2,14 kg. Il n’a pas varié en fonction du sexe. Par contre le poids des chevreaux de naissances simples était significativement supérieur à ceux des naissances doubles et triples. A l’âge adulte, le poids moyen a été 35 kg pour les femelles et 42 kg pour les mâles.
Mots clés: paramètres de croissance, évaluation rendement lait
Mali, an agro pastoral country, is paradoxically confronted with a problem of providing food. The agricultural productions are essentially based on extensive systems , very often with low outputs, due to a continuous deterioration of spaces by uncontrolled reclamations of farming lands or overgrazing. Autochthonous breeds, although adapted to the difficult climatic conditions of Sahelian areas, are not very productive. Several studies on the productivity of Malian breeds have been undertaken (Kouriba 1982; Wilson et al 1983; Nialibouly et al 1999; Coulibaly et al 2004, Nantoumé et al 2003).
One way to increase animal production in Mali is the genetic improvement of local breeds through selection or crossing with exotic breeds. The Guéra goat has been introduced in Mali from Mauritania to improve local goat productions, particularly in the intensive and semi intensive production systems. It is known in Mauritania for its high milk performances.
This survey of the performance of Guéra goats was carried out at the Regional Centre of Agronomic Research of Kayes in Mali.
A total of 98 goats was used. They were treated against parasites and vaccinated against blackleg caused by Clostridium chauvoei. They were taken to graze without contact with other herds to prevent mating and contagion illness. Lactating females were attached to pegs and individually received cotton seed meal as supplement after grazing, from 200 to 400 g during the rainy and cold dry seasons and 300 to 500 g during the hot dry season. The rest of animals received on average 200 g a day per animal. Herd structure and size are presented in table 1.
Table 1: Herd structure and size |
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Sex |
0-3 months |
3-6 months |
> 6 months |
total |
Males |
14 |
5 |
24 |
43 |
Females |
11 |
3 |
41 |
55 |
Total |
25 |
8 |
65 |
98 |
The parameters were:
- Milk production traits (daily milk production, total milk production and lactation length),
- Growth traits (weight, height to the tourniquet, length scapulo-ischiale, thoracic perimeter, back length and hip width)
Milk production was measured once a week, one evening and the following morning. Kids were weighed before (P1) and after (P2) suckling to determine amount of milk consumed and the remaining was extracted by hand milking to determine daily production.
Weight and body measurements were taken twice a month in animals aged 0-3 months and once a month for animals over 3 months.
Data were analysed using the General Linear Model of ANOVA (Minitab 2000).
They were estimated using the model:
Yijk = μ + ai + brj + bsk + eijk
Y= milk yield
μ = mean, a
= random effect, br = effect of lactation number, bs = effect of birth season, e
= rest effect
The following model was used:
Yijk = μ+ ai + btj + bsk + eijk
Y = Weight or length
μ = mean, a = random effect, bt = effect of birth type, bs = effect of birth season, e = rest effect
It was carried out on 45 complete lactations. The daily milk quantities (DMQ), the total production of milk (TPM) and the lactation length (LL) were : 1.9 liters (varying from 1 to 3.1 liters), 262 liters and 142 days per female. The daily milk was the sum of milk suckled (0.8 liter) by kids and that from hand milking (1.1 liter). The averages of milk performance are given in table 2.
Table 2: Averages of milk performance traits |
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Parametres |
Mean |
Standard deviation |
DMS (liters) / days /kid |
0.8 |
0.7 |
DMT (liters) / days / female |
1.1 |
0.9 |
DMQ (liters) / female |
1.9 |
0.8 |
TMQ (liters) / female |
262 |
111 |
LL (days) / female |
142 |
36 |
Number of
observations = 794 |
The lowest daily milk quantity was 1 liter and 3,1 liters the highest. The total milk quantity and lactation length varied (p <0.05) among individuals. They varied between 91 and 540 liters for the total milk quantity and 68 to 225 days for lactation length.
Daily milk quantity increased (p <0.05) according to lactation. Productions of females with more than three births were significantly higher than those of the other ranks (Table 3).
Table 3: Daily milk quantity (DMQ) according to the birth rank |
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Birth rank |
Mean (liters) |
Standard deviation |
First lactation |
1.6 b |
0,8 |
Second lactation |
1.5 b |
0,8 |
≥ three lactation |
1.9 a |
0,5 |
ab Numbers in the same column followed by different letters are significantly different (p <0.05) |
The highest total milk productions(p <0.05) was observed in females with more than three lactations (Table 4). Those in their first and second lactation were not significantly different (p>0.05).
Table 4: Total milk quantity (TMQ) according to the birth rank |
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Birth rank |
Mean (liters) |
Standard deviation |
First lactation |
251 b |
103 |
Second lactation |
256 b |
152 |
≥ three lactation |
276 a |
22 |
ab Numbers in the same column followed by different letters are significantly different (p <0.05) |
The lactation length didn't significantly vary according to lactation number (Table 5).
Table 5: Lactation length (LL) according to lactation number |
||
Lactation |
Mean (days) |
Standard deviation |
First |
145 |
34,6 |
Second |
138 |
43,4 |
≥ three |
145 |
18 |
|
All milk production traits varied according to season (Tables 6 - 8). The highest quantities were recorded during the cold and hot dry seasons, probably because of the effect of feeding with cotton seed in these periods.
Table 6: Daily average milk quantity (DMQ) according to season |
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Birth season |
Mean (liters) |
Standard deviation |
cold dry season |
2.1 a |
0.8 |
hot dry season |
1.9 a |
0.8 |
rainy season |
1.6 b |
0.7 |
abNumbers in the same column followed by different letters are significantly different (p <0.05) |
The highest total milk quantity (p <0.05) was also recorded during the cold dry season (Table 7).
Table 7: Total milk quantity (TMQ) according to season |
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Birth season |
Mean (liters) |
Standard deviation |
cold dry season |
310 a |
130 |
hot dry season |
268 b |
77 |
rainy season |
207 c |
87 |
abc Numbers in the same column followed by different letters are significantly different (p <0,05) |
The lactation length varied significantly during the three seasons. The longest lactation (p <0,05) was observed during the cold dry season and the shortest one during the rainy season (Table 8).
Table 8: lactation length (LL) according to the birth season |
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Birth season |
Mean (days) |
Standard deviation |
cold dry season |
153 a |
34,3 |
hot dry season |
144 b |
14,7 |
rainy season |
129 c |
21,7 |
abcNumbers in the same column followed by different letters are significantly different (p <0,05) |
The parameters were: weight (W), height to the tourniquet (HT), thoracic perimeter (TP), back length (BL), length of scapulo - ischiale (LSI) and hip width (HW). The average values are given in the table 9.
Table 9: Average weights (W) and measures of the parameters at birth |
||
Parameters |
Mean |
Standard deviation |
W (kg) |
2.14 |
0.4 |
HT (cm) |
31.5 |
2.5 |
TP (cm) |
29.4 |
3.2 |
BL (cm) |
17.3 |
2.4 |
HW (cm) |
5.5 |
0.7 |
LSI (cm) |
24.9 |
0.3 |
Number of observations = 108 |
The effect of birth type on kid weight at birth was analysed (table 10). The average weights of singles were significantly superior to the rest. Twins and triple didn't differ statistically (p>0,05).
Table 10: Weights (W) and measures (HT, TP, BL, HW, LSI) averages at birth according to birth type |
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Birth type |
W (kg) |
LSI (cm) |
TP (cm) |
HT (cm) |
LB (cm) |
WH (cm) |
Single |
2.6 a |
25.8 |
29.7 |
31.8 |
17.8 |
5.5 |
Twins |
2.0 b |
24.4 |
29.3 |
31.4 |
16.8 |
5.5 |
Triple |
1.7 b |
25.1 |
28.2 |
30.4 |
18.0 |
5.5 |
ab Numbers in the same column followed by the same letter are not significantly different (p>0.05) |
No differences (p>0.05) were observed between males and females (Table 11).
Table 11: Weights (W) and measures (HT, TP, LB, WH, LSI) averages at the birth according to sex |
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Sex |
W (kg) |
LSI (cm) |
TP (cm) |
HT (cm) |
LB (cm) |
WH (cm) |
Male |
2.1 |
24.7 |
29.5 |
31.3 |
17.1 |
5.5 |
female |
2.0 |
25.2 |
29.2 |
31.6 |
17.5 |
5.5 |
Growth traits (weight and body measurements) for all animals aged more than 18 months were evaluated, averages are presented in tables 12 and 13.
Table 12: Weights (W) and body measurements for adult animals aged 18 months and more |
||
Parameters |
Mean |
Standard deviation |
W (kg) |
37.6 |
8.0 |
HT (cm) |
69.0 |
5.8 |
TP (cm) |
77.2 |
6.1 |
BL (cm) |
45.7 |
4.1 |
HW (cm) |
15.9 |
3.0 |
LSI (cm) |
63.2 |
5.8 |
Number of observations = 834 |
Males were significantly higher for all parameters with the exception of WH (Table 13).
Table 13: Weights (W) and body measurements for adults animals aged 18 months and more according to the sex |
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Sex |
W (kg) |
LSI (cm) |
TP (cm) |
HT (cm) |
BL (cm) |
HW (cm) |
Male |
42.1 a |
66.3 a |
80.3 a |
74.1 a |
47.9 a |
16.2 a |
Female |
35.1 b |
62.5 b |
76.5 b |
67.8 b |
45.1 b |
15.8 a |
ab Numbers in the same column followed by the same letter are not significantly different (p>0.05) |
Data on the production traits by Guéra goat are limited. Those existing relate to short measurements of the project “introduction of the Guéra breed in Mali” (Doumbia 1998). The estimations of daily milk yield showed very irregular performances with 0,5 liter in Legal Ségou, 2,25 in Banaya, 0,25 in Yélimanés and 1,61 liters in Samé village of Kayes, Mali. The results of the present study showed that the milk production traits of the Guéra goat in complete lactations vary according to inviduals, to lactation number, with higher performance in females with more than three lactations. Supplementary feeding of cotton seed during the different seasons had influence on dairy performance. The greatest quantities were observed during the cold dry season.
The daily milk quantities observed by different local goat breeds of Mali with 1,1 liter / female / day by Boureïssa goats and 0,6 liter / female / day by Sahel goats (Nantoumé et al 2005 ; Dembélé et al 2009), were inferior than those evaluated in this study. Growth traits, particularly weight, showed a variation according to the birth type during the past three years. No significant differences of weight were observed between sexes at birth. Average weights of adult males were significantly higher than adult females. Weights of singles birth were significantly higher up to the adulthood than twins and triplets.
Adult weights were 35 kg for females and 42 kg for males. Sahelian goats weigh around 35 kg on average and Djallonké goats 25 kg. These results indicate that the Guéra goat shows good growth in addition to milk production. Young males can be well exploited for meat production.
It appears that milk production with Guéra goat under Sahelian conditions is possible.
Improvements can be realised with supplementary feeding (e.g. cotton seed) during the dry season.
The authors are grateful to the Appui Progrmme project, financed by the Netherlands cooperation. Thanks are also due to IER (Institut d’Economie Rurale) for their technical help.
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Received 14 October 2012 ; Accepted 31 October 2012; Published 2 December 2012