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…
With the goal of automating bloom intensity estimation, a method a novel method for apple flower detection is presented in which a pre-trained convolutional neural network (CNN) is fine-tuned to become specially sensitive to flowers.
Watermelon (Citrullus lanatus) and other cucurbits are important crops grown in Guatemala for local consumption and export. Four samplings of crowns, peduncles, and/or leaves of symptomatic plants were made in March and April 2015. Total RNA was extracted from symptomatic plant tissue and tested by RT-PCR for SqVYV, CYSDV, PRSV, and/or begomoviruses. This is the first report of SqVYV infecting watermelon in Central America.
Data from: Genetic Architecture of Resistance to Stripe Rust in a Global Winter Wheat Germplasm Collection
Virulence shifts in populations of Puccinia striiformis f. sp. tritici (Pst), the causal pathogen of wheat stripe rust, are a major challenge to resistance breeding. The majority of known resistance genes are already ineffective against current races of Pst, necessitating the identification and introgression of new sources of resistance. Germplasm core collections that reflect the range of genetic and phenotypic diversity of crop species are ideal platforms for examining the genetic architecture of complex traits such as resistance to stripe rust. We report the results of genetic characterization and genome-wide association analysis (GWAS) for resistance to stripe rust in a core subset of 1175 accessions in the National Small Grains Collection (NSGC) winter wheat germplasm collection, based on genotyping with the wheat 9K single nucleotide polymorphism (SNP) iSelect assay and phenotyping of seedling and adult plants under natural disease epidemics in four environments.
Data from: Assessing metabolomic and chemical diversity of a soybean lineage representing 35 years of breeding
Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean (Glycine max) lineage representing ~35 years of breeding (launch…
These data are the simulation results described in the article by Aistrup et al., "Sustaining the Ogallala Aquifer: From the Wells to People, A Holistic CNH Model," accepted for publication in Hydrology and Earth System Sciences. The data are being publicly shared in accordance with journal policy.
FAS's PSD Online data for those commodities published in the WASDE Report are reviewed and updated monthly by an interagency committee chaired by USDA's World Agricultural Outlook Board (WAOB), and consisting of: the Foreign Agricultural Service (FAS), the Economic Research Service (ERS), the Farm Service…
As the organic forage-finished beef industry continues to grow, it is important to understand factors that affect meat quality, characteristics of beef that influence human health, and sensory attributes of cooked beef. Research on alternative breeds and forage types that influence meat quality, FA and AA profiles, and sensory attributes in an organic forage-finished production system, as well as comparisons with alternative breeds is lacking. Data release is part of data management plan with USDA-NIFA funding. Data is from organic dairy beef steers collected at the West Central Research and Outreach Center, Morris, MN.