Dairy Sheep Symposium - the Department of Animal Sciences ...

Dairy Sheep Symposium - the Department of Animal Sciences ... Dairy Sheep Symposium - the Department of Animal Sciences ...

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Breed Usage in Europe Crossbreeding or substitution with high-yielding breeds has also considerably been used in some European countries, especially in Spain. In a recent study (Ugarte et al., 2001) it has been estimated that 45% of Spanish dairy sheep are affected by crossbreeding and that Assaf, Awassi, Lacaune and East-Friesian have 800,000, 150,000, 75,000 and 10,000 head respectively as pure breeds or with a high percentage of blood. These breeds have been introduced when farmers wished to increase the genetic level of their populations because they are able to improve or intensify the management of the animals and are not willing to wait until local breeds reach the desired level through selection. Available results on the use of these high-performance breeds indicate that around 1.5 l/day can be obtained in F1 crosses and 2 l in pure-breds, which means an increase of 50% and 100%, respectively, in relation to the production of the local breeds. Nevertheless these high yielding genotypes generally need a more careful management that may increase costs and limit their use in extensive or semi-intensive systems. Furthermore, they could be environmentally negative due to the non-use of natural resources of marginal areas, well exploited by the local breeds, and to the genetic contamination of local and well adapted local breeds. In Italy, the results of the use of the crossbreeding between the East Friesian and the native Sarda (Sa) breed have recently been reported by Sanna et al. (2001). Descendants of those crosses, having on average about 50% of East Friesian genes, were classified as belonging to a “syntethic” breed (FS). From 1978 to 1992 more than 5,000 FS and Sa lactations were recorded on an experimental farm. The comparison between the native and the “synthetic” genotypes was made on liveweight, reproduction performances, lamb production and milk, fat and protein yields. FS resulted heavier than Sa (52 vs 44 kg liveweight) and showed higher prolificacy and higher lamb production. Milk yield resulted only slightly different between genotypes: 193.7 vs 187.7 for FS and Sa ewes, respectively. Nevertheless, due to lower liveweight and related feed requirements for maintenance, Sa ewes resulted more profitable than FS in terms of gross income per metabolic weight (9.53 vs 8.66 Euro per kg, respectively). In Turkey, Gursoy et al. (2001) report the results of milk production and growth performance of a Turkish Awassi flock when outcrossed with Israeli Improved Awassi rams. The offspring of the highly selected Israeli Improved Awassi genotypes were found to give higher performance of 5% (lamb growth) and 20% (milk) than local sheep. Selection Criteria other than Milk Yield Milk Composition The main use of ewe´s milk is its transformation into cheese since its composition is fairly well adapted to the required processes. As a consequence cheese yield is a parameter of high economical importance for cheese manufacturers. At the present moment milk recording schemes include estimations of milk parameters such as fat, protein, total solids and somatic cell count (SCC), but there is no automated method available to obtain individual cheese yield estimations. In this regard an investigation has been performed in the selection nucleus of Spanish Churra sheep aiming at developing indirect methods to estimate cheese yield (Othmane et al., 1995; 2000) although its application in practice is not economically interesting for the moment. A variable named “individual laboratory cheese yield” (Othmane, 2000) and presumably closer to industrial cheese yield than milk composition variables was proposed. Descriptive statistics of the population for different milk traits (Table 4) show a high variation as expected for semi-extensive ovine farms under a high environmental component and at a first step of a selection program.

Table 4. Descriptive statistics of the milk traits Trait Mean Min. Max. CV(%) Milk yield (L30-L120), l 95 40 272 33.37 35.27 Milk yield (L0-L120), l 137 50 338 47.46 34.60 Fat content, g l -1 71.1 23.3 120.1 12.44 17.49 Protein content, g l -1 59.9 43.1 86.9 5.66 9.45 Casein content, g l -1 47.6 33 71.9 4.94 10.38 Serum protein content, g l -1 12 7.2 14.9 1.07 8.94 Lactose content, g l -1 42.6 28.2 57.9 4.34 10.18 MU 131 66.9 207 16.11 12.30 Total solids content, g l -1 182.6 124.4 256 16.12 8.83 PH 6.62 6.13 7.54 0.17 2.62 LnSCC 12.15 9.31 16.19 1.32 10.84 LILCY 26.71 12.19 49.73 4.22 15.78 LnSCC: lactation mean of somatic cell (in their natural logarithmic form). LILCY: lactation mean of individual laboratory cheese yield. Several analyses on genetic and environmental parameters for milk yield and milk composition have been performed in Churra sheep (Gonzalo et al., 1994; El-Saied et al., 1998, 1999). Results indicated a high importance among the environmental factors of variation of “flock-yearseason” with high significant effects on milk yield and also milk composition traits. It is also to be noted that a negative phenotypic correlation was found between milk yield and any of the milk components with the exception of lactose, the latter also showing negative correlations with the rest of milk components. Heritability estimates resulted in a low value (0.08) for the trait “individual cheese yield” and this together with its high variation degree indicates that it is not useful as a selection criterion. A low heritability (0.08) was also obtained for fat content, which was attributed to several factors such as the high variability in nutrition, milking systems and non-identified factors. This low estimate obtained for fat content is possibly related to the low heritability obtained for cheese yield. However, these results should be considered as provisional and similar studies should be performed in other sheep breeds, particularly in those showing larger fat content heritabilities. Regarding genetic correlations, the two estimates of total milk yield (30-120 days and 0-120 days) seem to represent the same variable on the basis of the correlation found between them as well as among them and the milk components. Protein fractions appear markedly correlated among themselves (0.97 to 1) and also with fat content (0.77 to 0.82). Variables with a greater relationship with cheese yield were total solids content (0.82), casein content (0.81) and protein content (0.79). Is should also be mentioned the high and negative correlation obtained between cheese yield and milk yield estimates (-0.53 and -0.54). Other results indicated a significant effect of the lactation phase on milk composition clearly influencing the aptitude of milk for cheese processing. In the same way, older ewes have resulted to produce milk with a higher content in casein, proteins and total solids indicating a better aptitude for cheese fabrication. Regarding the possibility of using casein content instead of protein content in selection, heritabilities obtained were very much alike and the genetic correlation between both traits was

Breed Usage in Europe<br />

Crossbreeding or substitution with high-yielding breeds has also considerably been used in<br />

some European countries, especially in Spain. In a recent study (Ugarte et al., 2001) it has been<br />

estimated that 45% <strong>of</strong> Spanish dairy sheep are affected by crossbreeding and that Assaf, Awassi,<br />

Lacaune and East-Friesian have 800,000, 150,000, 75,000 and 10,000 head respectively as pure<br />

breeds or with a high percentage <strong>of</strong> blood. These breeds have been introduced when farmers wished<br />

to increase <strong>the</strong> genetic level <strong>of</strong> <strong>the</strong>ir populations because <strong>the</strong>y are able to improve or intensify <strong>the</strong><br />

management <strong>of</strong> <strong>the</strong> animals and are not willing to wait until local breeds reach <strong>the</strong> desired level<br />

through selection. Available results on <strong>the</strong> use <strong>of</strong> <strong>the</strong>se high-performance breeds indicate that around<br />

1.5 l/day can be obtained in F1 crosses and 2 l in pure-breds, which means an increase <strong>of</strong> 50% and<br />

100%, respectively, in relation to <strong>the</strong> production <strong>of</strong> <strong>the</strong> local breeds. Never<strong>the</strong>less <strong>the</strong>se high yielding<br />

genotypes generally need a more careful management that may increase costs and limit <strong>the</strong>ir use in<br />

extensive or semi-intensive systems. Fur<strong>the</strong>rmore, <strong>the</strong>y could be environmentally negative due to<br />

<strong>the</strong> non-use <strong>of</strong> natural resources <strong>of</strong> marginal areas, well exploited by <strong>the</strong> local breeds, and to <strong>the</strong><br />

genetic contamination <strong>of</strong> local and well adapted local breeds.<br />

In Italy, <strong>the</strong> results <strong>of</strong> <strong>the</strong> use <strong>of</strong> <strong>the</strong> crossbreeding between <strong>the</strong> East Friesian and <strong>the</strong> native<br />

Sarda (Sa) breed have recently been reported by Sanna et al. (2001). Descendants <strong>of</strong> those crosses,<br />

having on average about 50% <strong>of</strong> East Friesian genes, were classified as belonging to a “syntethic”<br />

breed (FS). From 1978 to 1992 more than 5,000 FS and Sa lactations were recorded on an experimental<br />

farm. The comparison between <strong>the</strong> native and <strong>the</strong> “syn<strong>the</strong>tic” genotypes was made on<br />

liveweight, reproduction performances, lamb production and milk, fat and protein yields. FS resulted<br />

heavier than Sa (52 vs 44 kg liveweight) and showed higher prolificacy and higher lamb<br />

production. Milk yield resulted only slightly different between genotypes: 193.7 vs 187.7 for FS<br />

and Sa ewes, respectively. Never<strong>the</strong>less, due to lower liveweight and related feed requirements for<br />

maintenance, Sa ewes resulted more pr<strong>of</strong>itable than FS in terms <strong>of</strong> gross income per metabolic<br />

weight (9.53 vs 8.66 Euro per kg, respectively).<br />

In Turkey, Gursoy et al. (2001) report <strong>the</strong> results <strong>of</strong> milk production and growth performance <strong>of</strong><br />

a Turkish Awassi flock when outcrossed with Israeli Improved Awassi rams. The <strong>of</strong>fspring <strong>of</strong> <strong>the</strong><br />

highly selected Israeli Improved Awassi genotypes were found to give higher performance <strong>of</strong> 5%<br />

(lamb growth) and 20% (milk) than local sheep.<br />

Selection Criteria o<strong>the</strong>r than Milk Yield<br />

Milk Composition<br />

The main use <strong>of</strong> ewe´s milk is its transformation into cheese since its composition is fairly well<br />

adapted to <strong>the</strong> required processes. As a consequence cheese yield is a parameter <strong>of</strong> high economical<br />

importance for cheese manufacturers. At <strong>the</strong> present moment milk recording schemes include<br />

estimations <strong>of</strong> milk parameters such as fat, protein, total solids and somatic cell count (SCC), but<br />

<strong>the</strong>re is no automated method available to obtain individual cheese yield estimations. In this regard<br />

an investigation has been performed in <strong>the</strong> selection nucleus <strong>of</strong> Spanish Churra sheep aiming at<br />

developing indirect methods to estimate cheese yield (Othmane et al., 1995; 2000) although its<br />

application in practice is not economically interesting for <strong>the</strong> moment. A variable named “individual<br />

laboratory cheese yield” (Othmane, 2000) and presumably closer to industrial cheese yield than<br />

milk composition variables was proposed.<br />

Descriptive statistics <strong>of</strong> <strong>the</strong> population for different milk traits (Table 4) show a high variation<br />

as expected for semi-extensive ovine farms under a high environmental component and at a<br />

first step <strong>of</strong> a selection program.

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