A set of FORTRAN programs to implement a multiple-trait Gibbs sampling algorithm for (co)variance component inference in animal models (MTGSAM).
Peanut Curing Manager (PECMAN) is a decision support system that assists drying facility managers with inventory control. It schedules sampling and removal times, estimates time remaining on dryer and current moisture content. Cooperators have reported reduced drying costs and improved peanut quality.
Currently, there are inaccuracies in the energy use and greenhouse gas emission estimates of cattle transport reported by LCA studies because of their simplistic assumptions. The purpose of this database is to provide the necessary data for accurate estimation of the energy use and greenhouse gas emissions associated with cattle transport. The database has 28 different trailers under three categories namely pot belly, gooseneck, and bumper pull. It describes space available (length and width), maximum weight allowed in the trailer, along with a compatible vehicle that can haul the trailer. Gross vehicle weight, maximum payload allowed, and fuel use are available for the compatible vehicle. Using this database one can directly identify the number of cattle of a particular weight category that can be transported in a particular trailer-vehicle combination. This database also helps to identify economical and eco-friendly ways to transport cattle.
A Web Application for Estimating Irrigated and Dryland Cotton Profitability using Modeled Yield Data.
Stored Grain Advisor (SGA) is a decision support system for managing insect pests of farm-stored wheat. The program predicts the likelihood of insect infestation, and recommends appropriate preventative actions . It also provides advice on how to sample and identify insect pests of stored wheat. SGA Pro was designed for use in commercial elevators as part of the Areawide IPM Project for stored grain. Grain samples are taken with a vacuum probe and processed over an inclined sieve. SGA Pro analyzes the insect data, grain temperatures and moistures, and determines which bins need to be fumigated.
Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.
This feeding trial was designed to investigate two separate questions. The first question is, “What are the effects of substituting two non-fiber carbohydrate (NFC) sources at two rumen-degradable protein (RDP) levels in the diet on apparent total-tract nutrient digestibility, manure production and nitrogen (N) excretion in dairy cows?”. This is relevant because most of the N ingested by dairy cows is excreted, resulting in negative effects on environmental quality. The second question is, “Is phenotypic residual feed intake (pRFI) correlated with feed efficiency, N use efficiency, and metabolic energy losses (via urinary N and enteric CH4) in dairy cows?”. The pRFI is the difference between what an animal is expected to eat, given its level of productivity, and what it actually eats. The goal was to determine whether production of CH4, urinary N or fecal N is a driver of pRFI.
The milkweed bug, Oncopeltus fasciatus, was sequenced as part of the i5k pilot project from Baylor College of Medicine (Illumina data). To augment those resources, we present here a hybrid genome assembly with low coverage PacBio data, assembled with PBJelly: the Oncopeltus fasciatus Hybrid Genome Assembly v1.0.
Data from: Biological control of boxwood blight by Pseudomonas protegens recovered from recycling irrigation systems
A total of 1547 bacterial strains recovered from recycling irrigation systems were evaluated in vitro and in planta for their biological control efficacy against boxwood (Buxus spp.) blight caused by Calonectria pseudonaviculata (Cps), an emerging fungal disease in the United States. Pseudomonas protegens strains produced antifungal secondary metabolites that reduced Cps growth and infection.