Dataset describes Kentucky bluegrass production and height throughout two growing seasons in a rangeland system in the northern Great Plains. One year of sampling was during a drought year and one year had average precipitation. 2017 was a drought year and 2018 was an average precipitation year. Dataset also includes the nutritive value of Kentucky bluegrass throughout the season. Dataset can be used for modeling or for grazing planning.
Study of Nutrition and Activity in Childcare Settings (SNACS)
Data collection for the Study of Nutrition and Activity in Childcare Settings (SNACS) started in January 2017 and continued through September 2017. The complex study included web-based surveys, pre-interview surveys, on-site interviews, environmental observations, and telephone interviews of childcare sponsors and providers, as well as interviews of parents of some of the children from the sampled providers. The data were collected from a nationally representative sample of programs, children, and meals. The data cover a range of subjects including the provider’s characteristics, the nutritional quality of meals and snacks served, the dietary intake of children in childcare, the activities of children over the course of the childcare day, and the financial conditions of the childcare operations.
Data from: Effect of cutting management on the forage production and quality of tepary bean
Data of the biomass production and forage quality (nutritive value) of 13 different tepary bean genotypes managed at four different cutting heights and three different cutting dates. The data was collected during 2020 and 2021 to compare cutting management of tepary bean with forage soybean.
FoodData Central
Several USDA food composition databases, including the Food and Nutrient Database for Dietary Studies (FNDDS), Standard Reference (SR) Legacy, and the USDA Branded Food Products Database, have transitioned to FoodData Central, a new and harmonized USDA food and nutrient data system. FoodData Central will also include expanded nutrient content information never before available, as well as links to diverse data sources that offer related agricultural, food, health, dietary supplement, and other information.
Metadata from: Mob and rotational grazing influence pasture biomass, nutritive value, and species composition
This project assessed the suitability of mob grazing for livestock production in the Northeast. Objectives were to compare the effects of mob and rotational grazing on dry matter (DM) mass, nutritive value, and botanical composition across four grazing seasons.
FoodData Central
Several USDA food composition databases, including the Food and Nutrient Database for Dietary Studies (FNDDS), Standard Reference (SR) Legacy, and the USDA Branded Food Products Database, have transitioned to FoodData Central, a new and harmonized USDA food and nutrient data system. FoodData Central will also include expanded nutrient content information never before available, as well as links to diverse data sources that offer related agricultural, food, health, dietary supplement, and other information.
Data from: Identification of Single-Nucleotide Polymorphic Loci Associated with Biomass Yield under Water Deficit in Alfalfa (Medicago sativa L.) Using Genome-Wide Sequencing and Association Mapping
Alfalfa is a worldwide grown forage crop and is important due to its high biomass production and nutritional value. However, the production of alfalfa is challenged by adverse environmental factors such as drought and other stresses. Developing drought resistance alfalfa is an important breeding target for enhancing alfalfa productivity in arid and semi-arid regions. In the present study, we used genotyping-by-sequencing and genome-wide association to identify marker loci associated with biomass yield under drought in the field in a panel of diverse germplasm of alfalfa.
Data from: Generation and analysis of blueberry transcriptome sequences from leaves, developing fruit, and flower buds from cold acclimation through deacclimation
There has been increased consumption of blueberries in recent years fueled in part because of their many recognized health benefits. Blueberry fruit is very high in anthocyanins, which have been linked to improved night vision, prevention of macular degeneration, anti-cancer activity, and reduced risk of heart disease. Very few genomic resources have been available for blueberry, however. Further development of genomic resources like expressed sequence tags (ESTs), molecular markers, and genetic linkage maps could lead to more rapid genetic improvement. Marker-assisted selection could be used to combine traits for climatic adaptation with fruit and nutritional quality traits.
National Animal Nutrition Program (NANP) Modeling: Animal Performance Information
This page allows you to download data from the National Animal Nutrition Program animal performance data repository directly into an Excel file. Component data sets: [NRC Dairy Report](https://animalnutrition.org/node/12); [Lofgreen Garrett](https://animalnutrition.org/node/13); [Environmental Stress](https://animalnutrition.org/node/27): [to follow]; [Beef Digestiblity](https://animalnutrition.org/beef-digestibility): [to follow]; [USDA Beltsville Agricultural Research Center](https://animalnutrition.org/usda-barc).