Constraints on frequent or continuous lactation
نویسندگان
چکیده
منابع مشابه
Empirical and theoretical constraints on the evolution of lactation.
For 829 mammalian species, data on age at weaning or age at first solid food were analyzed with respect to body mass, phylogeny, habitat, diet, length of gestation, basal metabolism, and neonatal development. The primary influence on lactation length is female mass, but phylogenetic constraints are important. Thus, lactation can be characterized as short (earless seals and baleen whales), long ...
متن کاملFrequent Milking in Early Lactation: Considerations for Implementation
Take Home Messages • Labor availability and parlor capacity are key factors when considering a change in milking frequency. • Increases in early lactation milking frequency may provide a better return when labor supply is limited than 3X milking. • Cow movement and time budgets must be optimized for any increase in milking frequency to succeed. A number of management factors need to be evaluate...
متن کاملPushing Tougher Constraints in Frequent Pattern Mining
In this paper we extend the state-of-art of the constraints that can be pushed in a frequent pattern computation. We introduce a new class of tough constraints, namely Loose Anti-monotone constraints, and we deeply characterize them by showing that they are a superclass of convertible anti-monotone constraints (e.g. constraints on average or median) and that they model tougher constraints (e.g....
متن کاملMining Frequent Partite Episodes with Partwise Constraints
In this paper, we study the problem of efficiently mining frequent partite episodes that satisfy partwise constraints from an input event sequence. Through our constraints, we can extract episodes related to events and their precedent-subsequent relations, on which we focus, in a short time. This improves the efficiency of data mining using trial and error processes. A partite episode of length...
متن کاملMining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting patterns of low support or suuers from the bottleneck of itemset generation. A better solution is to exploit support constraints, which specify what minimum support is required for what itemsets, so that only necessary itemse...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Nutrition Society
سال: 1989
ISSN: 0029-6651,1475-2719
DOI: 10.1079/pns19890008