Association mapping is an efficient approach for the identification of the molecular basis of agronomic traits in crop plants. For this purpose in pea (Pisum sativum L.), we genotyped and phenotyped individual lines of the single-plant-derived core collection of the USDA pea collection including accessions…
Data from: Genetic Diversity and Population Structure of the USDA Sweetpotato (Ipomoea batatas) Germplasm Collections Using GBSpoly
Population structure and genetic diversity of 417 USDA sweetpotato (Ipomoea batatas) accessions originating from 8 broad geographical regions (Africa, Australia, Caribbean, Central America, Far East, North America, Pacific Islands, and South America) were determined using single nucleotide polymorphisms (SNPs) identified with a genotyping-by-sequencing (GBS) protocol, GBSpoly, optimized for highly heterozygous and polyploid species.
Data from: Characterization of Adult Transcriptomes from the Omnivorous Lady Beetle Coleomegilla maculata Fed Pollen or Insect Egg Diet
Expressed genes from two individual sibling specimens of Coleomegilla maculata (Coleoptera: Coccinellidae). One individual was fed only insect eggs as an adult, and one was fed only pollen as an adult. Two sequenced samples, total RNA from a single individual adult specimen of Coleomegilla maculata, a beneficial lady beetle common in agroecosystems and native to North America. One sample was an adult fed only insect eggs (carnivore diet) and one sample was an adult fed only pollen (plant-based diet); insects were reared from the same egg mass (siblings), fed identical diet while in larval stage.
This repository contains the MiSeq sequencing data for fungal communities in a study on biofilters. The BioFilter.zip folder contains 42 FASTQ files. The project run summary report specifies additional information on how the FASTQ data were produced for the "Jason" fungal community samples.
TIFF and JPEG files for the photographs used in constructing figures and supplemental figures in the manuscript, "ELIGULUM-A regulates lateral branch and leaf development," submitted to Plant Physiology. The images document a mutation that alters most of the structures of the plant and how the ELIGULUM-A gene interacts with different developmental pathways. The Figure Legend files describe the images individually.
The QDMA spatial map depicting deer density (deer per square mile) was digitized across the eastern United States. Estimates of deer density were: White = rare, absent, or urban area with unknown population, Green = less than 15 deer per square mile, Yellow = 15 to 30 deer per square mile, Orange = 30 to 40 deer per square mile, or Red = greater than 45 deer per square mile. These categories represent coarse deer density levels as identified in the QDMA report in 2009 and should not be used to represent current or future deer densities across the study region.
Environmental Association Analyses Identify Candidates for Abiotic Stress Tolerance in Glycine soja, the Wild Progenitor of Cultivated Soybeans
The present study explores an ex situ conservation collection, the USDA germplasm collection, genotyped at 32,416 SNPs, to identify population structure and test for associations with bioclimatic and biophysical variables in Glycine soja, the wild progenitor of Glycine max (soybean). Candidate loci were detected that putatively contribute to adaptation to abiotic stresses.
This study recruited experts from production, harvest, retail, and allied pork industries to assess 30 common pork supply movements for their industry criticality. Movements spanned five categories: equipment, live animal production, genetics, harvest, and people. Experts were recruited via email to the American Association of Swine Veterinarians (AASV) mailing list and their assessments were collected via an online survey. The Data.csv file contains the raw survey responses.
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; Lofgreen Garrett; Environmental Stress: [to follow]; Beef Digestiblity: [to follow]; USDA Beltsville Agricultural Research Center.
Useful to Usable (U2U): Transforming Climate Variability and Change Information for Cereal Crop Producers, was a USDA-funded research and extension project designed to improve the resilience and profitability of U.S. farms in the Corn Belt amid a changing climate. Over a six-year period from April 2011 - April 2017, 122 faculty, staff, graduate students, and undergraduate students from ten Midwestern universities contributed to this interdisciplinary project. Our team integrated expertise in applied climatology, crop modeling, agronomy, cyber-technology, agricultural economics, sociology, Extension and outreach, communication, and marketing to improve the use and uptake of climate information for agricultural decision making. Together, and with members of the agricultural community, we developed a series of decision support tools, resource materials, and training methods to support data-driven decision making and the adoption of climate-resilient practices.