J. Álvarez, J. Palacio, I. Casasús, R. Revilla, A. Sanz et al., 50080 Zaragoza, Spain With the aim of knowing the maternal behaviour of Parda de Montaña breed, sixteen autumncalving cows with their calves (9 males and 7 females) were allowed to suckle one (RS1; 0800) or two (RS2; 0800 and 1500) sessions per day (30 min/session). Throughout suckling periods, behaviour trends were registered (days 30, 66 and 100 postpartum), each observer controlling one cow-calf pair. Cows had similar BCS at calving (2.6) and live-weight throughout lactation. RS1 showed higher suckling duration per session (21.3 vs 17.0 min, vol.727

, Likewise, RS1 pairs were close (<0.5m) more time per session (26.5 vs. 22.2; P<0.001), but less time per day (26.5 vs 44.3 min; P<0.001). Calf ADG was not affected by suckling frequency (700 g)

M. Ortíz and U. Fes-cuautitlan, cross-suckling period (1.6 min), and cow-calf sniffing acts (0.2 min) per session were similar in RS1 and RS2. Both suckling systems allowed the establishment of maternal bonding, without effect on cow-calf performances, P<0.05) but these cows licked less their-selves (0.1 vs 2.7; P<0.05) whereas butts number (44.5), vol.2

S. Carretera-cuautitlan-teoloyucan and . Sebastian-xhala-cuautitlan, All animals were fed 55% corn stubble and 45% slow intake urea supplement. T1 (n=56 plus two cannulated) 320 (±.35) kg/BW fed basal diet. T2 n=27 plus two cannulated diet was spread with a lactic probiotic, vol.54714

, Wroclaw University of Agriculture, Institute of Animal Breeding, Chelmonskiego 58c, 51-630 Wroclaw, Poland, 3 State School of Higher Education, Mickiewicza 5, 64-100 Leszno, Poland Economic and productive data from Polish arctic fox farming were used to develop a bio-economic deterministic model simulating an average fox farm. The model was used to estimate economic weights for direct (body size -BS, fur quality -FQ, and colour type -CP) and maternal (litter size -LS) traits. A 10-year investment period and two alternative discount rates, Leuconostoc lactis and Bifidus essences, molasses and poultry litter. Growth was 1.877 g/d (±318) T1 and 2.145 g/d (±267) T2 (P<0.05). Total dry matter intake (DMI) were 8.313 ± 183 g/d for T1 and 9.939 ± 223 for T2 (P<0.05). Ammonia concentration were augmented in T2 (P<0.05). In vivo nitrogen digestibility was higher (P<0.05) in T2 diet (78.13%), T1 (61.12%), vol.7, p.304

, Much lower MEV (10 times lower than for BS and 20 times lower than for LS and FQ) was computed for CT (3.944 PLN). The relative economic weights derived for the alternative of 0% interest rate per year were 0.48 for LS, 0.15 for BS, 0.35 for FQ and 0.02 for CT, and were comparable to those estimated for the situation of 6%, PLN), followed by FQ (86.548 PLN) and BS (39.024 PLN)

D. Krupa, *. Pe?kovi?ová, Z. Krupová, P. Polák, and J. Tomka, Slovakia The economic weights (EW) of 15 production and reproduction traits for Charolais cattle raised in Slovakia were calculated. Four different fattening systems were simulated (intensive feedlot in bind technology-Fed01, Intensive, free-Fed02, Extensive, free-Fed03, Extensive, pasture-Fed04). EW for current production system (2005) and for the future production system (2010) were calculated. The economic importance of evaluated traits was little bit higher in all feedlots types for production system in 2010 year. The different influence of feedlot types on EW were observed only for reproduction traits and average daily gain during fattening period. Other differences were very low. The EW for average daily gain during fattening were 61, Slovak Agriculture Research Authority, 94992 Nitra

. Sk, Sk per 10 g in Fed01, Fed02, Fed03 and Fed04 in 2005 year, respectively. Influence of Fed01 and Fed02 on EW of mature weight of cows (-8.76 Sk

S. König, S. Schierenbeck, B. Lind*, and H. Simianer, Genetic parameters were estimated by REML procedure using DFREML programme. Heritability estimates of entire dataset for Arabian and Thoroughbred horses were 0.280 and 0.317 for RT, 0.281 and 0.467 for BRT, 0.069 and 0.132 for rank, 0.139 and 0.194 for annual earnings (AE), 0.174 and 0.291 for earnings per start (EPS), 0.152 and 0.188 for logAE, 0.171 and 0.341 for logEPS

, heritability and repeatability estimates of racing traits for Arabian and Thoroughbred horses, the highest estimates were obtained for BRT. Therefore, selection for this trait might result in more genetic improvement than other investigated traits

, Connectedness between seven European countries for horse jumping competition, the "Interstallion Pilot Project II

, CentreNational Department of Horse Breeding Udkearsvej, vol.15, issue.2

, Avenue Prince de Liege 103 bte 4, 5100 Namur, Belgique, 7 Irish Horse Board Agriculture House, Kildare street, Dublin2, Ireland Data on jumping breeding values of stallions and pedigree up to 3 generations was provided by 7 countries, including 6317 stallions and 22324 different horses. Identification of horses between countries was done as there was no unique identification number. About 1000 stallions and 5000 ancestors were provided by each country. Common stallions between countries varied from 0 to 308 and common horses from 130 to 1166, The Netherland, 5 Swedish Univ. of Agricultural Sciences, vol.7023

, Dept of Animal Breeding and Genetics, vol.3, issue.3, p.37

S. Norrköping and Ö. Group, Department of Animal Science, 81110 urmia Iran Azerbaijan is well known for indigenous breeds of horses in Iran. Livestock census from 1992 to 2004 revealed a marked decrease (with annual reduction of 3.9%) in horse population, due to the changes in agriculture, transport and communication.Due to this drastic reduction in recent years and the fact that no information was available in literature on farming system and breed characteristic of these horses under natural habitat. A questionnaires was developed and used to collect information from door-to-door survey at Varzagan, Ahar, Ardabil, Kali bar, districts. The different physical characteristics and 21 body measurements were recorded on 52 (49 stallions and 3 mares) adult above 3 years Karabakh horses, from Varzagan (63.46%), Ahar (19.23%) Ardabil (9.7%) and Kali bar (5.8%) districts. The Karabakh was developed in Nagorny, Sweden Physical and farming system characteristic of Karabakh horses P. Mosapoor, A.M. Aghazadeh and Mahpeykar, vol.387, p.91

, 79, back girth (paunch girth) 167.04± marketed in Sicily, Italy, p.98168

I. Messina, Italy On the carcasses of 40 half-breed horses, 22 males and 18 females, from 2 to 9 years old, were taken out samples of Longissimus dorsi muscle between the 16 th and 17 th rib. Four days after slaughter, on each sample, pH, colour, cooking loss and tenderness (WBS) were determined. Results were subjected to ANCOVA statistical analysis using the following model: J ij = µ + sex + b * age ij + ? ij . The physical characteristics were not significantly influenced by sex (male vs. female). The pH mean values showed a good acidification of the meat

, Chroma (male the horses, not older than 24 months. The cooking loss values, within the normal range, were very similar between the sexes

J. Casellas, , p.80

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L. Casini,

M. Cassandro, , vol.26, p.104

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N. Castellano, , vol.112, p.181

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D. Causeur, , p.70

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F. Cecchi, , p.110

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N. Ceular,

C. Chale,

T. N. Chamblee, , p.255

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A. S. Chaudry, , vol.119, p.287

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D. Chennells, , p.40

D. Chesneau,

E. Chia, , p.96

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C. Chocarro,

H. C. Choi, , p.102

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B. P. Chowdhary, , p.352

M. Chrenková, , p.127

V. Christodoulou, , vol.121, p.167

A. Chwalibog, , vol.344

R. Ciampolini,

E. Ciani, , p.110

M. Cinkulov, , p.221

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G. Civati, , p.106

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M. Clapperton, , p.269

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A. M. Closter, , p.337

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S. Coimbra-ribeiro, , vol.77, p.78

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J. A. Colaco, , vol.219

M. Colombo, , p.21

A. Comin,

G. Conte, , p.278

C. Cosentino, , p.113

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M. Costache, , p.49

Y. Cozler, , vol.70

A. Crisà,

F. Crispie, , p.50

J. Cros, , p.256

G. M. Crovetto, , p.100

M. A. Crowe, , vol.173

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R. A. Cue, , vol.268

F. J. Cuevas, 111 -D-Dabiri

O. Dagasan, , p.150

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E. D&apos;alessandro, , p.238

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A. Dalmau, , vol.254

C. Dalvit, , p.26

M. Daly, , vol.50, p.279

M. Danesh-mesgaran, , vol.119, p.159

P. P. Danieli, , p.312

D. Dannenberger, , p.25

U. Dannenberger, , p.298

J. Dano, , p.57

S. D&apos;aquino, , p.355

N. Darcan, , p.213

S. Dashti, , p.186

I. Daskiran, , vol.218, p.218

B. Dastar, , vol.163

R. Davoli, , vol.21, p.284

D. Filippi,

M. H. De-haan, , vol.74, p.257

D. Jong and P. J. , , p.352

D. J. De-koning, , p.15

N. Gamal, , p.281

G. Gandini, , p.26

C. Garces, , p.157

A. Garcia, , vol.292, p.306

F. Garcia, , p.306

G. Da and S. Sobrinho, , vol.209, p.213

. Garibay-bermúdez, J, p.132

D. Garin,

M. H. Othmane, , p.264

M. P. Oury, , p.55

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C. Ozbeyaz, , vol.347, p.348

F. Ozdil, , p.27

N. Özen, , p.150

B. Özer, , vol.82

T. Ozgunen, , p.84

S. Ozkaya, , p.313

A. Ozmen,

E. Ozturk, , p.301

A. K. Ozugur, , p.162

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N. Pacinovski, , vol.79, p.90

M. Paepe,

G. Pagnacco,

J. Palacio, , p.330

B. Palasevski,

D. Palic, , p.147

P. Panagakis, , p.41

B. Panea, , vol.58, p.211

N. Panella, , vol.72, p.254

Y. Pang, , p.173

C. Papachristoforou,

M. Parilova, , p.178

L. Pariset,

D. K. Park, , p.102

K. S. Park, , p.102

Y. T. Park, , p.102

V. Parkanyi, , p.186

E. Pärna, , p.327

F. Pascale, , p.134

M. Pashmi, , vol.269, p.271

M. Pawelska, , p.33

P. Pawlikowska, , p.344

A. R. Paydar, , p.160

N. Peciulaitiene, , p.30

D. Peden, , p.95

A. N. Pell, , p.293

F. Pena, , vol.211, p.245

R. N. Pena, , p.16

J. Perea, , vol.264, p.306

B. M. Perera, , p.39

P. Perisic, , vol.28, p.36

A. Perna,

D. Peskovicová, , vol.59, p.341

V. Pessôa,

K. J. Peters, , vol.81, p.337

H. Peterson, , p.354

D. Pethick, , p.182

M. M. Petrovic, , p.34

A. Pflimlin, , vol.258, p.309

J. Philipsson, , p.349

C. J. Phillips, , p.73

B. Picard, , vol.55

D. Piccolo, , p.290

J. Pickova,

I. Piec, , p.48

M. Pierson, , p.349

S. Pietrzak, , vol.244, p.247

I. Pihler, , p.221

V. Pileckas,

W. Pinna, , p.233

P. Pinton, , p.134

G. Pirlo, , p.345

G. Pirone, , p.335

W. S. Pitchford, , p.280

J. Pivko, , p.186

C. Plachta, , p.114

G. M. Polak, , p.247

P. Polák, , vol.57, p.333

K. Poláková, , p.122

S. Polat, , p.85

F. Polimeno, , vol.151, p.188

F. Poljak, , p.31

D. Pomies, , p.311

B. Poncea-andronescu, , vol.340

A. Poortahmasb, , vol.64

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K. Porcu, , p.221

J. Posta, , p.244

J. Pourreza, , vol.130, p.138

P. Pradel, , p.311

P. Pregel, , vol.176, p.177

D. J. Prendiville, , vol.173, p.179

U. Presuhn, , p.62

J. Pribyl, , vol.37

A. Priolo,

F. Provost and . Le-47,

P. Przysiecki, , p.341

A. Purroy,

L. Putnova, , p.113

K. Putz, , p.171

V. Pyrochta, , p.128

P. Safus, , vol.37

D. A. Saghi, , vol.226, p.270

G. Saghirashvili, , p.262

G. Sahana, , p.267

P. Saive, , p.129

G. Sala, , p.60

K. Salajpal, , p.57

J. Salazar-ortiz,

M. A. Salem,

E. Salimei, , p.290

R. Salomon, , p.187

F. Saltalamacchia, , p.42

A. Samie, , vol.130, p.138

M. Sánchez, , p.224

D. Sanchueza, , p.306

M. R. Sanjabi, , p.122

E. Sanli, , p.209

M. Santa-maría,

V. Santos, , vol.59, p.215

M. F. Santos-silva, , p.112

A. Sanz, , vol.58, p.330

L. Sanzarello, , p.355

P. Sara, , vol.169, p.187

B. Saremi, , p.312

M. Sargolzaee, , p.312

S. Sariozkan, , vol.170, p.261

F. Sarubbi, , vol.151, p.328

A. Sarvari,

O. Sasaki, , p.235

M. Satoh, , p.234

H. Sauerwein, , p.53

O. Saveli, , p.327

M. Savic, , p.99

M. Sayadnejad, , p.24

R. J. Scaramuzzi,

S. Scardigli,

M. Scharfe, , p.352

U. Schatzmann, , p.254

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C. Schichowski, , p.223

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J. Schneider,

F. Schöne, , p.295

F. Schrader, , p.352

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N. D. Scollan, , p.25

K. Scott, , p.40

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A. Sebsibe,

P. Secchiari, , p.278

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J. Seenger, , vol.300, p.304

S. Segato, , p.304

J. Sehested, , vol.117, p.308

A. R. Seidavi, , vol.102, p.340

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K. Seitpan, , p.89

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M. Serrano, , p.111

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M. M. Shaker, , p.216

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