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Issuesterras de pastagemLandLibrary Resource
There are 2, 164 content items of different types and languages related to terras de pastagem on the Land Portal.

terras de pastagem

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An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock.

Reports & Research
Dezembro, 2014

The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the

environment and the contribution of livestock to this phenomenon have sparked animal

scientists’ interest in predicting methane (CH4) emissions by ruminants. Focusing on milk

production, we address six basic nutrition models or feeding standards (mostly empirical

systems) and five complex nutrition models (mostly mechanistic systems), describe their key

characteristics, and highlight their similarities and differences. Four models were selected to

An overview of the development challenges and constraints of the Niger Basin and possible intervention strategies

Reports & Research
Dezembro, 2011
Burkina Faso
Mali
Níger
Nigéria
África
África Ocidental

The Niger River Basin covers 7.5% of the African continent, and is shared between nine riparian

countries. The basin countries can be categorized into water resources producers, consumers, both

producers and consumers, and minimum contributors and consumers. As in the case for most

transboundary rivers, upstream and downstream conflicts emanating from the development and

utilization of the Niger River are inevitable and are expected to be intense, particularly given the

An efficient sampling protocol for sagebrush/grassland monitoring

Conference Papers & Reports
Dezembro, 2013

Rangeland scientists and quantitative ecologists have developed numerous methods and monitoring techniques that can be used for vegetation sampling (Barbour et al. 1987). The methods used to position samples (transects, quadrats, lines, and points) vary and can be classed as selective, capricious, systematic, or random. One of the prerequisites for valid statistical inference is that samples are taken randomly. A random sampling procedure implies that all elements or units of the population being studied have an equal chance of being represented in the sample.