Time trends and epidemiological patterns of perinatal lamb mortality in Norway
© Holmøy and Waage. 2015
Received: 10 February 2015
Accepted: 22 September 2015
Published: 30 September 2015
Perinatal mortality is a major cause of loss in the sheep industry. Our aim was to explore time trends in crude population stillbirth and neonatal mortality rates in Norway. We used data on 6,435,715 lambs from flocks enrolled in the Norwegian Sheep Recording System (NSRS) from 2000 through 2010 for descriptive analysis of trends. Longitudinal patterns of mortality rates were compared for lambs within different levels of variables suspected to be associated with perinatal loss.
There was an approximately linear increase in the annual proportion of stillborn lambs during the study period, from 3.3 % in 2000 to 4.7 % in 2010. In the same time period, average litter size of ewes in NSRS flocks increased from 2.00 to 2.19. However, a steady rise in stillbirth rate was observed within each litter size group, suggesting a gradually increasing impact on stillbirth risk of other, yet unidentified, factors. Average flock size increased during the study period. The highest stillbirth rates were found in the largest and smallest flocks. Early neonatal mortality rates (0–5 days of life) varied from year to year (minimum 2.2 %, maximum 3.2 %) and were invariably higher among triplets and quadruplets than among singletons and twins. Annual fluctuations were parallel within the various litter sizes. A significant overall decreasing trend was present within all litter sizes with the exception of singletons. Weather data for the prime lambing months (April and May) 2000–2010 indicated a relationship between low temperatures and high neonatal mortality rates. At the flock level, there was a significant positive correlation between stillbirths and early neonatal mortality rates (r = 0.13), between stillbirth rates in two consecutive years (r = 0.43) and between early neonatal mortality rates in two consecutive years (r = 0.40).
The substantial increase in ovine stillbirth rate in recent years in Norway was to some extent related to a corresponding increase in the proportion of lambs in triplet or larger litters; however, other factors apparently have contributed. Early neonatal mortality rate exhibited year-to-year variations, partly following temperature fluctuations, which is somewhat unexpected, considering that lambing mainly occurs indoors in Norway.
KeywordsSheep Recording system Time trends Stillbirth Neonatal mortality
Perinatal lamb mortality rates until 7 days of age recorded in studies from various countries range from 9 % to around 20 % [1–4]. These losses have a great impact on profitability in sheep production [5, 6] and are of concern also from an animal welfare perspective [7, 8]. The mortality rates reported were mainly based on studies conducted in single or a few flocks, which limits generalizability of the findings. Quantification of losses in a population requires that reliable mortality records are available from a great number of flocks. Perinatal mortality risk may be influenced by exposures that vary from year to year, and death rates experienced in a single year are not necessarily representative of losses in previous or subsequent years in the population. At the flock level, considerable year-to-year variation in perinatal mortality has been observed, particularly when lambing occurs outdoors and ewes and lambs are exposed to varying weather conditions [9, 10]. Thus, to obtain reliable estimates of perinatal losses in the population, annual mortality rates should be recorded over an extended period of time in a representative sample of flocks. Data recorded over several years could also reveal time trends that deserve closer attention. When combining mortality data with records describing various characteristics of flocks and individual animals, exploration of time trends and comparison of distributions of subgroups may reveal patterns leading to hypotheses about causal relationships.
Registries for dairy and meat sheep are in operation in many countries [11–14]. A main purpose of the registries is the recording of genetic traits that are used in breeding programmes. When mortality records are included, factors associated with lamb loss can be investigated, and studies identifying risk factors and providing heritability estimates for perinatal death based on such registries have been published [13, 14].
Over the past years, there has been a gradual increase in average sheep flock size in Norway and housing conditions and management practices have changed to some extent. The breeding programme run by the Norwegian Sheep and Goat Association and, likely, some changes in feeding regimens have led to an increase in average litter size .
The aim of this study was to investigate whether such changes have been accompanied by changes in perinatal survival. Based on data from the Norwegian Sheep Recording System (NSRS), we examined crude perinatal mortality rates in Norway in the period from 2000 through 2010. While perinatal mortality usually has been studied as a single entity, we distinguished between stillbirth and neonatal deaths. Time trends and epidemiological patterns were explored, comparing trends within various geographic locations, and different flock and litter sizes. We also compared variations in prevailing weather conditions and lamb mortality rates. At the flock level, we examined whether there was any relationship between stillbirth and neonatal mortality rates and we also compared losses in two consecutive years.
Characteristics of sheep production in Norway
Sheep in Norway are commonly kept indoors from late in the autumn (October) till late spring; some flocks have voluntary access to a limited outdoor area. Breeding starts in November to December. Thus, lambing takes place in the spring (mainly in April to May), before pasture is available, and occurs indoors or in semi-open sheds under rather close supervision. Ewes and their newborn lambs are usually kept in single pens for a couple of days. They are let out on pasture as soon as weather conditions are satisfactory and are kept in areas close to the farm for a few weeks before they are moved to distant pastures. Usually, ewes and lambs are monitored regularly in the post-parturient period. A description of housing and management of sheep in Norway has been given recently .
Data source and quality control
We used data recorded in the NSRS during the period from 2000 through 2010. The NSRS was established in 1962. Membership is optional. Over the past years, the number of flocks in the NSRS has decreased. However, there has been a proportionally greater decrease in the total number of flocks in the country and the percentage of flocks enrolled in the NSRS has gradually increased from 23 % in 2000 to 27 % in 2010 . Because average flock size has increased to a greater extent in NSRS flocks than in non-member flocks, the percentage of ewes in the NSRS rose from 27 to 42 % during the same time period.
Data on individual animal characteristics and variables related to lambing, weighing, slaughter, disease episodes and death are recorded and reported to the NSRS database. Data were partly reported by local advisors, but an increasing proportion of the data was reported by the farmers themselves, reaching 75 % in 2010 (Mari Langaker, Animalia, personal communication). The main objectives of the NSRS are to provide members with detailed information on performance of their own flock, and to be the basis for the selection of ewes and progeny testing of rams used for breeding. Some of these rams, selected at the national level, are used for artificial insemination, while most of the tested rams are used for tupping in local “ram rings”, which consist of a varying number of flocks. Thus, sheep-owners that have joined the NSRS have direct interest in the quality of the data and will likely be inclined to report complete and correct data.
Data for each lambing of each ewe are stored in one file containing variables for flock identification (composed of numbers for county, municipality within county, flock within municipality), ewe identification (unique number within the flock), date of lambing, lambing ease (normal, moderate assistance, dystocia with prolonged intervention), number of stillborn lambs, and number of liveborn lambs that die before receiving an individual identification number. Observed cases of abortion are also recorded. Liveborn lambs are ear-marked shortly after birth and individual records for all animals with an identification number are stored in another file. Among the variables recorded are flock and animal identification, breed, sex, date of birth, date of slaughter or death for other reasons, dam and sire.
The data sources for our study were the files containing lambing records for the years 2000–2010 and individual animal records for lambing ewes and lambs born in this time period. We extracted for each year all ewes for which a lambing date was recorded. A thorough quality control of the data was carried out. Data from the lambing and individual animal files were examined separately and were also combined and compared for each ewe and flock to assess completeness and consistency of the records.
Mortality rates that were studied were annual proportions of stillborn lambs, liveborn lambs that died between days 0 through 5 after birth (before or after being ear-marked), designated here as early neonatal mortality, and those that died between days 6 through 14 after birth, designated here as late neonatal mortality. In this study, stillborn lambs included lambs that were dead at birth and born close to the expected day of lambing; cases of abortion were not included. At the population level, stillbirth rates and mortality rates for the two neonatal periods were the annual sum of dead lambs within each of the three groups divided by the number of lambs at risk of experiencing the outcome. Thus, the denominators for the three rates were the total number of lambs carried by the dams, the total number of liveborn lambs and the total number of lambs alive at day 6 postpartum, respectively. Annual crude proportions were also compared for subgroups of lambs aggregated within regions, flock sizes and litter sizes and month of birth.
Data handling and statistical analysis
Data handling and statistical analysis were performed using SAS (version 9.2, SAS Institute Inc., Cary, NC, USA). Crude time trends were assessed visually by graphing annual mortality rates. The Cochran–Armitage trend test was used to determine whether a significant trend was present across the time period. P-values <0.05 (two-sided) were considered significant.
When flock size is small, modest variations in the number of lambs lost can cause relatively large changes in mortality rates. When comparing flock level mortality rates recorded in two consecutive years and stillbirth and neonatal mortality rates recorded within the same flocks, we therefore decided to include only flocks with more than 50 lambing ewes. We used the Pearson correlation coefficient to assess the relationship between rates.
Number of ewes registered with a lambing date in the Norwegian Sheep Recording System each year from 2000 to 2010, numbers excluded for various reasons, and final numbers of ewes and lambs included in the current study
Ewes with a lambing date
Ewes with no lambsa
Ewes with >1 recordb
Ewes in flocks with incomplete recordsc
Ewes in the study
Lambs in the study
Characterization of flocks and animals
The number of flocks participating in the NSRS decreased gradually from 4941 flocks in 2000 to 3654 flocks in 2010. Of the 4941 flocks in the NSRS in 2000, 2573 (52.1 %) were still enrolled in 2010, and of the 3654 flocks enrolled in 2010, 1081 (29.6 %) did not participate in 2000.
Distribution of flocks and ewes enrolled in the Norwegian Sheep Recording System in 2000 and 2010 by flock size
Ewes enrolled in flocks
Distribution of ewes enrolled in the Norwegian Sheep Recording System in 2000 and 2010 by various characteristics
Age of ewe (year)
Assistance, not dystocia
Time of lambing
Prior to April 1
After May 31
Old Norwegian breedsa
Overall trends in stillbirth and neonatal mortality
Early neonatal mortality rates varied from year to year (Fig. 2), with a minimum in 2009 (2.21 %) and a maximum in 2006 (3.17 %). However, the Cochran–Armitage test showed that there was a highly significant decreasing trend (P < 0.0001) in the early neonatal mortality rates across the entire period from 2000 through 2010. Late neonatal mortality rates exhibited a more evident declining trend (P < 0.0001) (Fig. 2), although a marked increase occurred from 2009 to 2010. Minimum and maximum rate was 0.39 % (in 2009) and 0.94 % (in 2001), respectively. Year-to-year variations in early and late neonatal mortality rates tended to be parallel.
Mortality trends by litter size, age of ewe and breed
Mortality trends and weather conditions
Mortality trends by flock size
Regional mortality trends
Stillbirth rates increased within all regions of Norway and no substantial regional differences were found. Early and late neonatal mortality rates showed year-to-year variations similar to those found for the total population. Except for 2002, early neonatal mortality was each year lower in West Norway than in all the other regions. South and East Norway clearly tended to have the highest early neonatal mortality rates. There was a highly significant declining trend in early neonatal mortality rates (P < 0.0001) in all regions except for South Norway. From 2000 through 2007, late neonatal mortality rates were lowest in North Norway, but there was no significant trend across the entire study period in this region. In each of the other regions, there was a highly significant downward trend in late neonatal mortality rates (P < 0.0001).
Flock level variations and correlations
In 2010, 2153 flocks had more than 50 lambing ewes. Mean (standard deviation) of stillbirth and early and late neonatal mortality rates was 4.48 (3.00), 2.65 (3.17) and 0.57 (0.85), respectively. The within-flock correlation between stillbirth and early neonatal mortality rates and between early and late neonatal mortality rates were r = 0.13 (P < 0.0001) and r = 0.18 (P < 0.0001), respectively. A total of 1928 flocks had more than 50 lambing ewes in both 2009 and 2010. Stillbirth rates and early neonatal mortality rates recorded in these flocks in 2009 were strongly correlated with those recorded the subsequent year, r = 0.43 (P < 0.0001) and r = 0.40 (P < 0.0001), respectively. Also for late neonatal mortality rates, the correlation between rates in 2009 and 2010 was highly significant, r = 0.23 (P < 0.0001).
This study, which comprised a large proportion of the sheep population in Norway, revealed a markedly increasing trend in stillbirth rate from 2000 through 2010. The trend was remarkably linear, suggesting a gradually increasing impact of major risk factors for stillbirth at the population level. At the end of the study period, 4.7 % of all lambs born were stillborn, which are close to rates reported from other countries. A study performed in the UK reported 4 % stillborn  and a long-term study of Merino sheep in South Africa found a stillbirth rate of 4.3 % . Two studies in Scottish Blackface flocks in the UK found, respectively, that 5.3 and 8.0 % of the lambs were stillborn [4, 22]; however, these studies also included lambs that died during the first day of life in their definition of stillbirth.
Multiple pregnancy increases the risk of foetal death in sheep [23, 24]. Average litter size of ewes in the NSRS increased continuously in the study period, which could be expected to be a major driving force behind the stillbirth trend. We indeed found that the stillbirth rate was consistently higher among lambs in triplet litters than among singleton and twins, and even higher among quadruplets. However, the steady rising trend was present within each of the litter size subgroups, clearly indicating that other risk factors were involved. The change was most pronounced in single lamb litters, in which the stillbirth rate increased by more than 40 % in the study period. Lambing difficulties are common in many sheep breeds [25, 26], including the Norwegian White, which is the predominant breed in Norway. Large single lambs are an important cause of dystocia  particularly in 1-year-old ewes, and one might consider whether increased occurrence of lambing difficulties was a factor contributing to the rising trend. The proportion of ewes with dystocia was somewhat higher in 2010 than in 2000; however, the increase was small and proportionately less in ewes with single lambs than in those with multiple litters. Trends in stillbirth rate for 1-year-old and >1-year old ewes were parallel. Similar trends were observed in stillbirth rates of the two major breeds. Thus, age and breed distributions were apparently not factors contributing to the increase in stillbirth rates.
Early neonatal mortality varied from year to year, with crude rates around 3 %. A modest declining trend was present when considering the entire study period, which was due to reduced loss in the final years. Greater neonatal loss of lambs has been recorded in other countries. Two studies reporting neonatal mortality rates within 3 and 4 days of age, respectively, found that 9.4 and 9.0 % of all liveborn lambs were lost [28, 29]. A third study reported a 3.0 % loss during the first day of life and an additional loss of 2.7 % over an undefined postnatal period . Neonatal mortality rates in liveborn lambs up to 7 days of age of 12.1 and 14.2 % have been reported from UK and New Zealand, respectively [3, 28]. In accordance with other studies [20, 28, 30], we found that a main proportion of neonatal deaths occurred very early. Seventy percent of the lambs that died within 2 weeks of age died during the first 2 days, demonstrating that events related to lambing and the immediate post-lambing period are critical for lamb survival.
Several studies have shown that in flocks managed permanently outdoors, harsher conditions in terms of low temperatures, wind and precipitation decrease early neonatal lamb survival [10, 29, 31]. With very few exceptions, lambing takes place indoors in flocks in Norway, which should be expected to prevent neonatal deaths caused by adverse weather conditions. However, there was a tendency that in years when early neonatal loss peaked, outdoor temperatures during the months of lambing were low, suggesting that weather could perhaps affect lamb survival. A recent survey of sheep enterprises in Norway found that almost 40 % of sheep barns were uninsulated  and some semi-open buildings do exist. In uninsulated barns, indoor temperatures correlate with outdoor temperatures  and lamb viability might be reduced in cold weather.
In agreement with previous studies [3, 29], we found that neonatal mortality rates varied considerably with litter size. Whereas Hatcher et al.  recorded a higher mortality rate among twins than among singletons during the first week of life, we found almost equal annual rates for twins and singletons in most of the study period and in the last 2 years somewhat higher rates occurred in singletons. For larger litters, mortality rates were much higher. However, a clear declining trend was observed for triplets and even more for quadruplets, which might suggest that management routines for taking care of lambs in multiple litters have improved. Artificial rearing of surplus lambs may have become more widespread during these years; however, data on this issue are lacking. In the breeding program for both Norwegian White and Spæl, main emphasis is put on ewes’ productivity as determined by live animal or slaughter weights of progeny , which might have led to better mothering abilities. In a recent survey, over 80 % of the farmers responded that at least some ewes in their flock reared triplets (Holmøy et al., unpublished). The decreasing neonatal mortality rates between 2006 and 2009 might have been due partly to an active information campaign by the Norwegian Sheep Health Service in this period, encouraging sheep farmers to ensure adequate intake of colostrum by newborn lambs.
Late neonatal mortality rates were lower than 1 % throughout the study period. A moderate declining trend and a modest year-to-year variation were present when considering the entire period. Binns et al.  reported that 4.0 % of total postnatal deaths occurred in lambs more than 7 days old. Mortality rates in lambs 7–30 days old were 2.2 and 3.1 % in a Scottish Blackface flock and an Australian Merino flock, respectively [3, 4].
Large differences in stillbirth and neonatal mortality rates between flocks and rather strong correlation between rates in two consecutive years within the flocks clearly suggest that flock level risk factors are important and to some extent stable from year to year within a flock. Similar findings have been reported previously . One might suspect that rates would vary between the separate regions of Norway due to systematic differences in environmental conditions; however, differences were small and time trends quite similar. Average number of lambing ewes per flock increased during the study period and management and individual animal monitoring may differ according to flock size. In most of the period, the largest flocks experienced somewhat greater stillbirth rates than the medium-sized; however, the difference declined with time and the upward trend of the medium-sized flocks was of the same magnitude as that of the entire population.
Factors that likely vary between flocks and affect the risk of perinatal mortality are how well lambing is monitored, whether appropriate birth assistance is provided when needed, and whether colostrum intake of newborn lambs is ensured . One might expect that managing a small flock facilitates individual monitoring of ewes and newborn lambs during the lambing season. However, the smallest flocks experienced rather high stillbirth rates and the highest early neonatal losses throughout the study period. The smallest flocks are likely to be owned by farmers having sheep as their secondary occupation, which may imply reduced monitoring.
Most studies of perinatal lamb mortality do not distinguish between stillbirths and early neonatal deaths but consider these as a common entity when, for instance, evaluating determinants for perinatal deaths. We found that correlation at the flock level between stillbirth and early neonatal mortality rates was relatively low. A natural interpretation is that, although stillbirths and early neonatal deaths may share some common risk factors, major parts of the causal complexes are different, suggesting that analysis of risk factors should be carried out separately for late foetal and early neonatal deaths.
A strength of the present study was that it was based on a national sheep registry where a large proportion of ewes in Norway is enrolled. Flocks in the registry were distributed across all counties of Norway and the distribution of members within each county corresponded well to the overall distribution of sheep production units in Norway . Routines for the recording of events in NSRS flocks did not change much during the study period. A large number of animals were included in the study and a thorough quality control of the data was carried out. We therefore consider the data reliable and the trends observed across this time period to reflect real changes in the sheep population in Norway fairly well. Participation of flocks in the NSRS was dynamic; just above half of the flocks enrolled in 2000 were still enrolled in 2010 and almost a third of those enrolled in 2010 had joined the NSRS after 2000. Temporal trends presented were therefore based on crude population level data. Trends within levels of certain variables exhibited patterns that suggested causal relationships with stillbirth and neonatal mortality. However, inferences regarding relations at the individual animal level generally cannot be based on patterns at the population level and suggestive findings should be verified in studies with appropriate design.
We found a substantial increase in ovine stillbirth rate in recent years in Norway. In the same time period, there has been a corresponding increase in litters of three or more lambs, in which the stillbirth rate was higher than in litters of singletons and twins. However, the stillbirth rate increased over time within each litter size, indicating that gradual changes over time in other, yet unidentified, factors operating at the population level apparently have contributed to the overall increased stillbirth rate. Despite the increase in litters of more than two lambs, crude rates for early and late neonatal mortality displayed moderate declining trends. Early neonatal mortality rate exhibited year-to-year variations, which partly might be explained by variations in outdoor temperature in the lambing season.
Both IHH and SW were involved in designing the study, organizing and processing the data and drafting the manuscript. Both authors read and approved the final manuscript.
Access to NSRS data was provided by the Norwegian Sheep Health Service, Animalia, Oslo. Jostein Mamen at the Norwegian Meteorological Institute is acknowledged for providing extensive amounts of climate data for the years 2000–2010. The Agricultural Agreement Research Fund, the Foundation for Research Levy on Agricultural Products, Animalia—Norwegian Meat and Poultry Research Centre and the Norwegian Sheep and Goat Association are acknowledged for funding this study.
Compliance with ethical guidelines
Competing interests The authors declare that they have no competing interests.
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- Green LE, Morgan KL. Mortality in early born, housed lambs in south-west England. Prev Vet Med. 1993;17:251–61.View ArticleGoogle Scholar
- Nash ML, Hungerford LL, Nash TG, Zinn GM. Risk factors for perinatal and postnatal mortality in lambs. Vet Rec. 1996;139:64–7.View ArticlePubMedGoogle Scholar
- Hatcher S, Atkins KD, Safari E. Phenotypic aspects of lamb survival in Australian Merino sheep. J Anim Sci. 2009;87:2781–90.View ArticlePubMedGoogle Scholar
- Riggio V, Finocchiaro R, Bishop SC. Genetic parameters for early lamb survival and growth in Scottish Blackface sheep. J Anim Sci. 2008;86:1758–64.View ArticlePubMedGoogle Scholar
- Østerås O, Gjestvang MS, Vatn S, Sølverød L. Perinatal death in production animals in the Nordic countries—incidence and costs. Acta Vet Scand. 2007;49:S14.View ArticleGoogle Scholar
- Nash ML, Hungerford LL, Nash TG. Evaluating economic consequences of risk factor based health improvement decisions. Proceedings of the 9th Symposium of the International Society for Veterinary Epidemiology and Economics, Beckenridge, Colorado, 2000, p. 431.Google Scholar
- Mellor DJ, Stafford KJ. Animal welfare implications of neonatal mortality and morbidity in farm animals. Vet J. 2004;168:118–33.View ArticlePubMedGoogle Scholar
- Dwyer CM. The welfare of the neonatal lamb. Small Rumin Res. 2008;76:31–41.View ArticleGoogle Scholar
- Starr JR. Weather and lamb mortality in a commercial lowland sheep flock. Agric Meteorol. 1981;24:237–52.View ArticleGoogle Scholar
- Fogarty NM, Hall DG, Holst PJ. The effect of nutrition in mid pregnancy and ewe liveweight change on birth weight and management for lamb survival in highly fecund ewes. Aust J Exp Agric. 1992;32:1–10.View ArticleGoogle Scholar
- Dairy sheep milk enquiry. On-line database, World Association of Animal Production. http://www.waap.it/sheep_enquiry/. Accessed 15 Mar 2013.
- Árnason T, Jónmundsson JV. Multiple trait genetic evaluation of ewe traits in Icelandic sheep. J Anim Breed Genet. 2008;125:390–6.View ArticlePubMedGoogle Scholar
- Petersson CJ, Danell Ö. Factors influencing lamb survival in four Swedish sheep breeds. Acta Agr Scand. 1985;35:217–32.View ArticleGoogle Scholar
- Maxa J, Sharifi AR, Pedersen J, Gauly M, Simianer H, Norberg E. Genetic parameters and factors influencing survival to twenty-four hours after birth in Danish meat sheep breeds. J Anim Sci. 2009;87:1888–95.View ArticlePubMedGoogle Scholar
- Animalia: Sauekontrollen Årsmelding 2011. Oslo; 2012.Google Scholar
- Holmøy IH, Kielland C, Stubsjøen SM, Hektoen L, Waage S. Housing conditions and management practices associated with neonatal lamb mortality in sheep flocks in Norway. Prev Vet Med. 2012;107:231–41.View ArticlePubMedGoogle Scholar
- Førland EJ, Allerup P, Dahlström B, Elomaa E, Jónsson T, Madsen H, Perälä J, Rissanen P, Vedin H, Vejen F. Manual for operational correction of Nordic precipitation data. Report 24/96 KLIMA. The Norwegian Meteorological Institute. Oslo; 1996.Google Scholar
- Tveito OE, Førland EJ, Heino R, Hanssen-Bauer I, Alexandersson H, Dahlström B, Drebs A, Kern-Hansen C, Jónsson T, Vaarby-Laursen E, et al. Nordic Temperature Maps. Report 9/00 KLIMA. The Norwegain Meterological Institute. Oslo; 2000.Google Scholar
- Tveito OE, Førland EJ. Mapping temperatures in Norway applying terrain information, geostatistics and GIS. Nor Geogr Tidskr. 1999;53:202–12.View ArticleGoogle Scholar
- Binns SH, Cox IJ, Rizvi S, Green LE. Risk factors for lamb mortality on UK sheep farms. Prev Vet Med. 2002;52:287–303.View ArticlePubMedGoogle Scholar
- Cloete SWP, Misztal I, Olivier JJ. Genetic parameters and trends for lamb survival and birth weight in a Merino flock divergently selected for multiple rearing ability. J Anim Sci. 2009;87:2196–208.View ArticlePubMedGoogle Scholar
- Sawalha RM, Conington J, Brotherstone S, Villanueva B. Analyses of lamb survival of Scottish Blackface sheep. Animal. 2007;1:151–7.View ArticlePubMedGoogle Scholar
- Maund BA, Duffell SJ, Winkler CE. Lamb mortality in relation to prolifacy. Exp Husb. 1980;36:99–112.Google Scholar
- Hinch GN, Davis GH, Crosbie SF, Kelly RW, Trotter RW. Causes of lamb mortality in two highly prolific Booroola crossbred flocks and a Romney flock. Anim Reprod Sci. 1986;12:47–61.View ArticleGoogle Scholar
- Speijers MHM, Carson AF, Dawson LER, Irwin D, Gordon AW. Effects of sire breed on ewe dystocia, lamb survival and weaned lamb output in hill sheep systems. Animal. 2010;4:486–96.View ArticlePubMedGoogle Scholar
- Dwyer CM, Bünger L. Factors affecting dystocia and offspring vigour in different sheep genotypes. Prev Vet Med. 2012;103:257–64.View ArticlePubMedGoogle Scholar
- Grommers FJ, Elving L, Van Eldik P. Parturition difficulties in sheep. Anim Reprod Sci. 1985;9:365–74.View ArticleGoogle Scholar
- Wiener G, Woolliams C, Macleod NSM. The effects of breed, breeding system and other factors on lamb mortality: 1. Causes of death and effects on the incidence of losses. J Agric Sci. 1983;100:539–51.View ArticleGoogle Scholar
- Everett-Hincks JM, Dodds KG. Management of maternal-offspring behavior to improve lamb survival in easy care sheep systems. J Anim Sci. 2008;86:E259–70.View ArticlePubMedGoogle Scholar
- Huffman EM, Kirk JH, Pappaioanou M. Factors associated with neonatal lamb mortality. Theriogenology. 1985;24:163–71.View ArticlePubMedGoogle Scholar
- Miller DR, Blache D, Jackson RB, Downie EF, Roche JR. Metabolic maturity at birth and neonate lamb survival: association among maternal factors, litter size, lamb birth weight, and plasma metabolic and endocrine factors on survival and behavior. J Anim Sci. 2010;88:581–93.View ArticlePubMedGoogle Scholar
- Bøe K, Nedkvitne JJ, Austbø D. The effect of different housing systems and feeding regimes on the performance and rectal temperature of sheep. Anim Prod. 1991;53:331–7.View ArticleGoogle Scholar
- Norsk sau og geit: Avlsmål for sau. http://www.nsg.no/avlsmaal/category1370.html. Accessed 15 Feb 2014.
- Statisk sentralbyrå: Strukturen i jordbruket. https://www.ssb.no/statistikkbanken/selecttable/hovedtabellHjem.asp?KortNavnWeb=stjord&CMSSubjectArea=jord-skog-jakt-og-fiskeri&checked=true. Accessed 15 Feb 2014.