Regression model validation by permutation tests was explored. Especially in cases where the significance is doubtful, a test adds crucial information which can often be decisive for existence of model. The background and applicability procedure are described. As an example, use extended to investigation four predictor variable selection techniques, namely MUSEUM, GOLPE, VIP IVS-PLS. methods briefly reviewed compared. were applied before, during after selection. Some similarities differences...

The objective of this study was to explore differences in profitability between farms with automatic milking systems (AMS) and conventional (CMS). To profitability, we analysed the gross farm income from dairy cows. Accounting production data for over a thousand were collected. Using kernel-matching, made CMS more comparable AMS farms. We then used ordinary least squares regression estimate effect relative size time passed since last investment systems. results show that must have 35 40 cows...

Mastitis is a costly disease affecting dairy ruminants worldwide. Somatic cell count the most widely used tool for udder health monitoring but highly influenced by non-infectious factors in goats. The aim of this paper was to define adjusted action thresholds somatic detection goats with intramammary infections. A secondary investigate potential bulk milk analyses identifying herds issues. Nine Norwegian goat were visited five times during one lactation. measurements combined bacteriological...

Abstract Background Intramammary infections negatively affect milk quality, animal welfare and productivity in the dairy industry. Somatic cell count (SCC) is most used screening tool to detect subclinical mastitis caused by intramammary infections. In goats, SCC greatly influenced non-infectious factors, which complicates interpretation. The aim of this research paper was determine association between SCC, factors including parity, season, lactation stage, yield goats. longitudinal study,...

In this study, 200 Norwegian dairy farms were analyzed over three years to compare greenhouse gas emissions, nitrogen (N) intensity, gross margin, and land use occupation between organically conventionally managed farms. Conventionally farm groups constructed based on propensity matching, selecting the closest counterparts (n=15). These groups, each containing 15 farms, differentiated by an increasing number of matching variables. The first group was matched geographical location, milk...

An important question for farmers is whether to run their farm conventionally or organically. This choice can significantly affect the farm's financial performance and its impact on environment. The primary objective of this study compare profitability conventional organic cattle systems investigate how it associated with individual characteristics, like forage production capacity, quality, milk quota, animal housing relative presences. We employ a whole optimization model, customized...

Values affect humans’ perception of situations and problems guide our actions. The objective this study was to explore the values dairy farmers, whether their influenced decisions maintain farming or buy consultancy services. During late fall 2007 we visited interviewed 90 farmers. First did a qualitative analysis data then merged interview with existing database financial from year do statistical analyses. We also checked farmers still produced milk in 2013, six years after interviews. Most...

We explored how human and social capital influences productivity among dairy farmers. Farmers' education varied from no agricultural to higher university education. Interaction between influenced farm performance. There were substantial differences farms in quality economic outcomes. Our 90 respondents came a random sample of farmers the five most important farming areas Norway. merged interview data with database on biological financial conduct statistical analyses. Education had clear...

Policy changes and the introduction of AMSs (automatic milking systems) have accelerated in Norwegian dairy sector. Loose housing, joint farming operations are some cases introduced all at once or over a short period. Thus ability to manage technical organizational change successfully is becoming increasingly important for farmers. To explore how farmers we visited interviewed four who invested new loose housing since 2003. Three them also entered farming. Further, consultants. In this...

ABSTRACT Understanding of price behavior is a critical element to make decisions in uncertain conditions that significantly influence the return dairy market participants. Increased variability both world milk and feed during last 7‐8 years has increased need for research on dynamics forecasting. The aims this paper are explore embedded between prices, produce reliable forecasts prices. We collected series from 2002 2015 International Farm Comparison Network (IFCN). analysis revealed two...

We explored social and political aspects of milking robot (automatic system; AMS) use expansion in dairy farming. Over 30 % farms Norway have an AMS, the percentage is rapidly increasing. interviewed 26 farmers with AMSs county Rogaland, Norway. Primary motives for investing robots are a more flexible workday, reduced physical work, desire to join perceived future standard Although motivated by factors, AMS key element structural change driven political, economic, factors.