Subject Index–volumes 79–84 (2003)

Livestock Production Science 84 (2003) 303 – 308 www.elsevier.com/locate/livprodsci

Subject Index–volumes 79–84 (2003) Accuracy, (80) 241 Acid – base balance, (81) 89 Adaptation, (81) 271 Aetiology, (79) 273 Air quality, (81) 1 Alpine environments, (79) 169 Amino acid, (82) 201, Amino acids, (79) 37, (83) 165 Ammonia emission, (84) 113, (84) 125 Analysis of covariance, (82) 15 Andalusian, (82) 181 Angora goat, (82) 129 Animal breeding, (80) 79 Animal health, (80) 41, (80) 55 Animal model, (82) 61 Animal welfare, (80) 41, (80) 55 Anthelmintics, (81) 99 Antimicrobial treatment, (80) 109 Anti-nutritional factors, (84) 83 Artificial insemination, (84) 39 Asturiana de los Valles, (83) 13 Automatic feed dispensers, (82) 15 Automatic milking, (81) 139 Automatic milking system, (83) 237 Backfat thickness, (84) 75 Barrows, (82) 255 Bas taurus, (79) 87 Beef, (81) 307 Beef cattle, (79) 169, (80) 141, (81) 161, (82) 1, (82) 171, (82) 245, (82) 249, (83) 13, (84) 39, (84) 53, (84) 135, Beef cattle fattening, (83) 1 Beef composite, (81) 47 Beef production, (84) 39, (84) 207 Behavior, (83) 237 Behaviour, (79) 155 Belgian Blue: Bulls, (84) 207 Bias, (80) 241 Bioactive forages, (80) 17 Blood metabolites, (84) 195 BLUP, (80) 241 Boar, (81) 89 Body composition, (84) 231 Body condition score, (83) 21, (83) 53, (83) 191 Body energy reserve, (81) 271

doi:10.1016/S0301-6226(03)00277-X

Body lipid, (83) 219 Body weight, (79) 119, (81) 75, (83) 191 Boran, (84) 219 Bos indicus, (84) 11 Bos taurus, (79) 87 Bovine F2, (84) 219 Breed, (81) 35 Breed influence, (79) 119 Breed preferences, (82) 117 Breed-system, (82) 1 Breeding month effect, (82) 181 Breeding objective, (83) 13 Breeding practices, (82) 117 Cafeteria feeding, (82) 163 Calf losses, (83) 13 Calving, (83) 99 Calving assistance, (81) 47 Calving interval, (82) 139 Calving intervals, (79) 145 Candidate gene, (82) 53 Captec, (84) 23 Carcass, (79) 17, (83) 247, (84) 207 Carcass characteristics, (84) 93 Carcass composition, (82) 1 Carcass morphology, (82) 1 Carcass quality, (81) 161 Carcass traits, (80) 167 Carcass weight, (84) 53 Cardiac output, (83) 113 Cattle, (79) 107, (79) 145, (79) 233, (81) 35, (81) 307, (83) 219 Cattle genetics, (80) 189 Cattle-genetics, (79) 97 Cereals, (79) 193, (79) 213 Chemical composition, (81) 257 Chemical residues, (80) 33 Cholesterol esterase, (79) 87 Chromium, (84) 23 CLA, (83) 43 Claw quality, (81) 161 Cockerels, (80) 133 Coconut oil, (84) 135 COD, (81) 25 Colostrum, (81) 223, (83) 317 Competition results, (82) 61

304

Subject Index – volumes 79 – 84 (2003)

Complex vertebral malformation, (79) 233 Computerized tomography, (83) 113 Concentrate feeding, (81) 173 Concentrate level, (81) 119 Concentrates, (81) 307 Condition score, (79) 119 Conjugated linoleic acid, (79) 47 Connection, (80) 241 Consumer preference, (80) 3 Control methods, (79) 1 Conventional, (80) 69 Copper, (84) 147 Corn stubble, (83) 1 Correlation, (83) 141 Cortisol, (83) 237 Covariance functions, (79) 73, (82) 189 Cow performance, (79) 61 Cows, (83) 211 Crop residue, (83) 63 Crossbred, (80) 221 Crossbred cows, (79) 193 Crossbreeding, Heritability, Genetic correlation, (84) 11 Cryopreservation, (83) 73 Culling, (80) 211 CVM, (79) 233 Cystic ovarian disease, (81) 25 Daily weight gain, (80) 167 Dairy, (80) 121 Dairy breeds, (84) 207 Dairy cattle, (79) 47, (79) 61, (79) 73, (79) 119, (79) 135, (79) 227, (79) 267, (81) 25, (81) 57, (81) 119, (81) 149, (81) 173, (81) 183, (82) 27, (82) 73, (82) 81, (82) 97, (82) 117, (82) 139, (82) 211, (83) 21, (83) 35, (83) 43, (83) 63, (83) 179, (83) 237, (84) 113, (84) 125, (84) 195 Dairy cow, (80) 153, (82) 151 Dairy cows, (83) 191 Dairy farming, (84) 183 Dairy production system, (83) 165 Dairy sheep, (84) 1 Decision making, (80) 109 Degradability, (79) 37 D9-Desaturase, (79) 47 Design approach, (84) 157 Diagnosis, (79) 273 Diet, (84) 135 Diet selection, (82) 163 Dietary fat, (82) 73 Dietary fibre, (81) 75, (81) 105 Digestibility, (79) 213, (81) 75, (81) 257, (82) 249, (83) 179 Digestion, (81) 35 Digestive health, (81) 105 Disease resistance, (83) 121 Double-censoring, (79) 285 Dry cow, (84) 195 Dual energy X-ray absorptiometry, (84) 231 Dynamic magnetic resonance imaging, (83) 113

Early lactation, (81) 119 Economic analysis, (83) 85 Economic value, (84) 183 Economic values, (79) 183 Economics, (80) 141 Electronic sow feeding, (79) 29 Emissions, (84) 157 Emperical models, (80) 229 Energetic efficiency, (82) 151 Energy allowance, (80) 167 Energy balance, (83) 219, (83) 211, (83) 257 Energy level, (80) 153 Environment, (81) 293, (84) 101, (84) 147, (84) 183 Environmental descriptor, (82) 223 Environmental effects, (82) 129 Environmental impact assessment, (80) 69 Enzymes, (83) 317 Epidemiology, (79) 273 Estrogen receptor gene, (82) 53 EUROP, (84) 53 European comparison, (80) 89 Ewe and survival traits, (79) 17 Extensive dairy, (80) 153 Faecal sampling, (84) 23 Faeces production, (84) 23 Farm structure, (84) 171 Farmer’s behaviour, (84) 39 Farming system, (80) 141 Farrowing, (80) 175 Fatness, (84) 53 Fattening, (81) 247 Fatty acid composition, (82) 53, (82) 73 Fatty acid synthase, (79) 47 Fatty acids, (81) 307 Fear, (83) 141 Feather pecking, (80) 133 Feed conversion, (80) 153, (80) 221, (84) 75 Feed intake, (79) 119, (81) 119, (81) 173, (82) 15, (82) 189, (83) 53 Feed intake behaviour, (82) 105 Feed intake curve parameters, (82) 105 Feeding, (81) 105, (84) 125 Feeding strategy, (80) 153, (82) 27 Feeding treatment, (81) 149 Fermentation, (81) 75, (83) 1, (83) 219 Fermentation parameters, (81) 57 Fermented whole crop wheat, (81) 257 Fertility, (79) 233, (80) 189, (81) 183, (83) 99, (83) 205, (83) 211, (83) 219, (83) 257 Fertility traits, (81) 213 Fibrolytic enzymes, (82) 249 Financial impact, (84) 171 Finishing pigs, (81) 99, (82) 233 Fleece, (82) 129 Fleshiness, (84) 53 Flock size, (80) 133 Fluctuating feed supply, (81) 271

Subject Index – volumes 79 – 84 (2003) Focus groups, (80) 89 Follicular development, (83) 211 Food safety, (80) 33 Forage legumes, (79) 37, (79) 193, (79) 213 Forage quality, (81) 35 Forage to concentrate ratio, (84) 135 Fuzzy logic, (82) 97 GE interaction, (80) 79 Gammaglobulin, (83) 317 Genetic correlation, (82) 61, (83) 13, (83) 257 Genetic correlations, (82) 105, (84) 53 Genetic evaluation, (84) 63 Genetic improvement, (79) 183 Genetic parameters, (79) 17, (79) 239, (80) 189, (81) 183, (81) 271, (82) 81, (82) 129, (84) 1 Genetic trend, (79) 135, (80) 241 Genetic variation, (83) 121 Genetics, (84) 75 Genotype, (82) 201 Genotype by environment, (83) 191 Geographic information systems, (80) 17 Gestation length, (82) 181 GH pattern, (81) 129 Glucocorticoids, (81) 129 GnRH-immunization, (81) 129 Goat, (79) 273, (83) 317 Grass, (81) 307 Grass silage, (81) 57 Greenhouse gases, (84) 101 Group size, (82) 39 Growing pigs, (82) 201 Growth, (79) 17, (79) 257, (80) 201, (81) 129, (82) 163, (82) 201, (84) 11 Growth parameters, (82) 255 Growth performance, (82) 105, (84) 93 Guernsey, (82) 223 Health, (80) 33, (80) 99, (82) 39 Health disorders, (83) 53 Heart rate, (79) 107, (80) 175, 83 (237) Heat load, (79) 107 Helminths, (80) 17, (81) 99 Hemicastrates, (82) 255 Herbage intake, (79) 169 Herd dynamics, (82) 211 Herd health, (80) 121 Herd type, (83) 309 Heritabilities, (82) 105 Heritability, (79) 249, (79) 285, (81) 213, (82) 61, (83) 13, (83) 141 Heterogeneous variance, (84) 63 Hoarse, (82) 181 Holstein, (79) 233, (81) 247 Horse, (79) 285, (82) 61, (82) 181 Horse breeds, (79) 97, (79) 249 Horticultural residues, (80) 221

Housing, (79) 29, (80) 175, (84) 157 h-Hydroxybutyrate, (83) 153 Ideal protein, (81) 89 IGF-1, (81) 129 Ileal digestibility, (82) 201 Ileal digestive amino acids, (81) 89 Immune competence, (82) 39, (83) 277 Immune development, (81) 223 Immunity, (83) 317 Immunoglobulin G, (81) 223 In vivo, (80) 221 Incomplete gamma, (83) 309 Indicators, (83) 277 Individual behavioural characteristics, (84) 31 Individual feeding strategies, (83) 277 Individual variation, (83) 277 Insulin, (83) 153 Intact boars, (82) 255 Intake, (79) 193, (79) 213, (83) 21, (83) 53, (83) 179 Intensification, (82) 211 Intensive management, (82) 255 Intramammary infections, (79) 1 Intramuscular fat, (79) 87 Jackbean, (81) 283 Japanese black, (81) 247 Kenya highlands, (82) 117, (82) 211 Kids, (83) 247 Lablab, (83) 179 Lablab hay, (79) 193, (79) 213 Lactating dairy cattle, (80) 229 Lactation, (79) 155, (84) 195 Lactation curve, (83) 309 Lactational performance, (83) 277 Lambs, (82) 163 Latitude, (84) 157 Leptin, (81) 247 Level of intake, (81) 35 Liability, (79) 249 Life cycle assessment, (80) 69 Line meight at slaughter, (83) 247 Lipid source, (83) 43 Literature review, (80) 55 Litter management, (81) 1 Litter performance, (81) 235 Litter size, (82) 53, (83) 131 Live animal allometric measurements, (81) 271 Live weight, (83) 21, (83) 53 Live weight at slaughter, (83) 247 Livestock, (80) 99, (84) 157 Location, (84) 195 Longevity, (80) 189, (80) 211 Loose housing, (81) 173

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Subject Index – volumes 79 – 84 (2003)

Low crude protein, (81) 89 Lupins, (84) 83 Lysine, (82) 233 Maintenance, (82) 151 Maize, (83) 1 Management, (84) 113 Manure, (84) 125 Marbling score, (79) 87 Maremmano, (79) 249 Marker assisted selection, (81) 197 Mastitis, (79) 1, (79) 273, (83) 99 Mastitis treatments, (80) 109 Maternal effects, (84) 11 Meat, (83) 247 Meat quality, (81) 161, (82) 171 Metabolic imbalance, (83) 277 Metabolisable energy intake, (80) 229 Metabolism, (79) 155 Methane, (84) 135 Methane production, (82) 73, (84) 135 Method R, (79) 97 Microbial flora, (81) 75 Milk, (83) 43, (83) 53 Milk composition, (83) 63, (83) 153 Milk electrolytes, (81) 153 Milk fat, (79) 47 Milk flow, (81) 139 Milk production, (79) 193, (79) 213, (79) 227, (80) 69, (80) 121, (80) 153, (81) 57, (81) 173, (81) 257, (82) 139, (83) 21, (83) 153, (83) 257 Milk quality, (84) 125 Milk traits, (84) 1 Milk urea, (81) 293 Milk yield, (79) 119, (79) 145, (81) 1, (81) 119, (81) 149, (81) 183, (81) 293, (82) 27, (83) 53, (83) 63, (84) 63 Milk yield traits, (80) 189 Milking, (79) 227 Milking frequency, (81) 119, (82) 139 Mobilisation, (81) 119 Model comparison, (82) 81 Models, (84) 113 Mortality, (79) 155 Mucuna, (83) 179 Multi-trait analysis, (81) 183 Multivariate analysis, (82) 97 Muscle volume, (83) 113 Mycoplasma hyopneumoniae, (83) 85 Napiergrass, (83) 179 N’Dama, (84) 219, (80) 221 NEB, (81) 25 Negative energy balance, (81) 25, (84) 195 Nest-building behaviour, (80) 175 New livestock systems, (80) 3 Nitrogen, (79) 169, (81) 293, (84) 101 Nitrogen balance, (81) 89, (81) 235, (82) 233

Nitrogen effiency, (83) 165 Nitrogen excretion, (83) 165 Nitrogen metabolism, (81) 283 Nitrogen surplus, (84) 171 Non-esterified fatty acids, (83) 153 Nonlinear function, (82) 15 Non-protein nitrogen supplementation, (83) 1 Nutrient management, (84) 171 Nutrient supply, (81) 57 Nutrients, (81) 105, (84) 101 Nutrition, (81) 105, (83) 1, (84) 113 Nutritional and sensory properties, (80) 33 Oestrus, (83) 219 Oestrus detection (82) 97 Organic, (80) 69 Organic animal husbandry, (80) 55 Organic dairy farming, (80) 89 Organic dairy farms in conversion, (80) 109 Organic farming, (80) 3, (80) 79, (80) 99, (80) 121, (80) 141 Organic livestock production, (80) 41, (80) 55 Organic livestock research, (80) 55 Organic pig production, (79) 257 Organic poultry, (80) 133 Organic production, (80) 17 Organic standards, (80) 41 Organic zinc, (81) 161 Osteochondrosis, (79) 249 Outdoor, (79) 257 Outdoor run, (80) 133 Ovulation, (83) 211 Oxygen consumption, (79) 107 Oxytocin, (81) 139 P2 back fat, (84) 231 Parasitology, (81) 99 Parity, (79) 119, (81) 213 Partitioned linear regression model, (84) 171 Pasture, (79) 169, (80) 153 Pasture consumption, (80) 167 Peppermint, (82) 245 Performance, (81) 161, (82) 39, (82) 233, (84) 31, (84) 135 Performance test, (82) 61 Persistency, (80) 189 Phenotypic relationships, (82) 1 Phosphate surplus, (84) 171 Phosphorus, (79) 169, (84) 101 Phosphorous requirements, (79) 267 Physiological status, (83) 277 Physiology, (82) 171 Phytotheraphy, (80) 17 Pig, (79) 155, (81) 129, (81) 213, (82) 15, (82) 39, (82) 53, (82) 189, (83) 85, (83) 113, (83) 119, (83) 121, (84) 31, (84) 75, (84) 83, (84) 147, (84) 231 Pig enterprise, (81) 197 Pig performance, (79) 29 Pig-feeding and nutrition, (81) 235, (82) 105

Subject Index – volumes 79 – 84 (2003) Pig-reproduction, (81) 235, (83) 73 Piglet, (81) 223 Piglet growth, (79) 155 Piglet mortality, (83) 141 Pigs, (81) 75, (82) 189 Plasma urea nitrogen (PUN), (82) 233 Post-mortem lesions, (83) 121 Post ruminal digestibility, (79) 37 Pre-calving feeding, (79) 61 Predicted milk constituent yield, (80) 229 Prediction error variance, (82) 189 Predictive ability, (84) 63 Preweaning average daily gain, (81) 47 Primiparous, (83) 153 Production, (81) 25 Production diseases, (83) 277 Productivity, (84) 31, (84) 183 Profit, (79) 183 Profitability, (80) 89, (81) 197 Prolificacy, (83) 205 Protein level, (84) 125 Protein requirement, (81) 235 Puberty, (81) 149 Quality, (83) 247 Quantitative trait loci, (81) 197 Questionnaire, (84) 39 Quota, (84) 183 Rabbit, (80) 201, (81) 105, (84) 93 Rabbit doc, (83) 131 Random regression, (79) 73, (79) 239, (82) 81, (82) 223 Random regression model, (82) 189 Reaction norm, (82) 223 Reaction norm curves, (80) 79 Rearing, (80) 133 Recording, (83) 99 Recursive control, (84) 157 Red Sokoto goats, (83) 63 Reduced rank, (79) 73 Refeeding, (83) 153 Reindeer, (84) 23 Renal policy, (80) 3 Replacement, (79) 145 Reproduction, (79) 17, (79) 145, (80) 153, (83) 35, (83) 219 Reproductive performance, (84) 195 Reproductive trait, (79) 97 Research in organic farming, (80) 3 Respiratory disease, (83) 85 Restricted grazing time, (81) 293 Restrictive feeding, (79) 257 Review, (80) 41, (82) 181 Rhythm of insemination, (83) 131 Risk, (79) 183 Risk factors, (81) 25 Role of veterinarian, (80) 109 Ruminal fermentation, (82) 245

Ruminal protozoa, (82) 245 Ruminant, (84) 23 Rural policy, (80) 3 Selection, (80) 241, (82) 53, (83) 99, (84) 75 Selection line, (83) 153 Selection scheme, (82) 129 Service sire effect, (81) 213 Sex effect, (82) 181 Sexed semen, (84) 39 Sheep, (79) 1, (79) 17, (79) 107, (80) 141, (81) 271, (81) 283, (83) 205 Sheep breeding, (81) 11 Sheep housing, (81) 1 Simulation modelling, (80) 89 Simulation models, (80) 141 Slack, (84) 157 Small ruminants, (80) 17 Smallholder systems, (82) 117 Somatic cell count, (79) 135, (79) 239, (80) 189, (80) 211 Somatic cell counts, (79) 1, (84) 1 Sows, (80) 175 Spavin, (79) 285 Spontaneous out-of-season ovulatory activity, (83) 205 Staphylococci, (79) 1 Steers, (84) 207 Stillbirth, (83) 205 Stocking rate, (83) 165 Stress, (82) 171, (83) 237 Stroke volume, (83) 113 Suckler beef herds, (83) 39 Suckling, (79) 227 Sugar cane, (80) 201, (82) 249 Sugar tops, (83) 1 Summer feeding, (80) 153 Supplementation, (80) 201, (82) 249, (83) 63 Survival, (79) 97 Survival analysis, (79) 285, (80) 211 Survival and body reserves, (83) 35 Sustainable land use, (80) 17 Sustainable parasite control, (81) 11 Swine, (79) 257, (80) 167, (83) 141 Swire, (79) 257 Test-day model, (79) 73 Test day models, (82) 81 Test-day record, (83) 309 The Netherlands, (79) 267 Threonine, (82) 233 Threshold model, (79) 97, (83) 121 Total mixed ration, (82) 27 Trait definition, (84) 219 Trans fatty acids, (83) 43 Transport, (82) 171 Treatment choices, (80) 109 Triacylglycerol metabolism, (79) 87 Tropical forages, (80) 201

307

308 Trypanosoma congolense, (84) 219 Trypanotolerance, (84) 219 Udder preparation, (81) 139 Udder type, (81) 47 Urea kinetics, (81) 283 Urban feed resources, (80) 221 Urease, (81) 283 Vaccination, (83) 85 Valdostana breed, (81) 149 Validation, (82) 151 Variance components, (79) 135

Subject Index – volumes 79 – 84 (2003) Variances, (83) 141 Veal, (82) 171 Vetch seed, (84) 93 Voluntary feed intake, (84) 23 Weaning weight, (81) 47 Weight gains, (83) 63 Wheat bran, (79) 213 Worm resistance, (81) 11 Zinc, (84) 147