the magazine that is by graziers, for graziers
By Janet McNally
Recently I heard a fellow grazier advocating that we should be grazing the stems of pasture forages.
His reasoning is that with the leaves gone, the stems pull energy from the roots. With no photosynthesis from the leaves, the plant cannot replace that energy. So the plant is better off with the stems gone. He admitted he was in the minority with that opinion.
Continue reading “Why you should avoid grazing coarse stems”
By Allen Williams
Genetic selection is often complicated and confusing for many livestock producers. We try to decipher numerous trait measurements. We pour through and try to interpret breeding values and EPDs. We like to use weighted or adjusted values for various traits. In the past couple of decades we have added DNA marker technology to the mix.
We read breed promotion literature, look at the glossy pictures in breed association catalogs, and ask neighbors and friends what they are using. Some of us pay attention to sale barn owners and operators, feedlot managers, the packer or processor, the lender or whoever is selling us something.
Continue reading “Practical genetics: knock out the props”
By Nathan Weaver
First in a series
The seed for a mechanical hay drier was planted in my mind by an article in the May 2010 issue of Graze. On a visit to northern France, Joel McNair had talked with Jean-Luc Gaugain about his system for drying loose hay.
Jean-Luc’s system captured solar energy from air heated inside the black, steel roof and walls of his barn. This heated air was forced through loose hay to finish the drying process of forages that had been harvested at 30-35% moisture.
Continue reading “Why we built a baleage dryer”
All of it is anecdotal
By Allen Williams
The British statistician George E. P. Box stated that “All models are wrong, but some are useful.”
This has become an oft-quoted statement in scientific circles. Box was referring to the fact that in science there is a growing trend to develop theoretical models with the purpose of predicting some type of behavior or outcome based on data assumptions used in the model.
While no model can predict the exact outcome of any singular event, models can be useful if the assumptions are good and the output is close enough.
Having been a scientist and a farmer for more than 30 years now, I often hear people talk about “anecdotal” research or data. Their point is that if the research was not peer-reviewed and published, it has no value. This is particularly insinuated with observational data.
Continue reading “Taking research with a grain of salt”
By Allen Williams
By the time you read this we will be fully into summer 2020, and full bore into the grazing season. Many of us had a cool spring season, but who knows what’s to come?
Here are my “Top 10 Tips” for grazing success, no matter what the weather throws at us. The first two offer advice for spring planning and grazing, so save those for next year’s planning.
Continue reading “Ten tips for summer grazing success”By Allen Williams
The Covid-19 pandemic has created significant upheaval across the world, and certainly right here in the U.S.
With the shelter-in-place orders, restaurants closing to inside dining, and schools and universities shutting down in-person education, the impact on agriculture and the food industries has been monumental.
Continue reading “Weak links”