Institution
Agriculture and Agri-Food Canada
Facility•Ottawa, Ontario, Canada•
About: Agriculture and Agri-Food Canada is a facility organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Soil water. The organization has 10921 authors who have published 21332 publications receiving 748193 citations. The organization is also known as: Department of Agriculture and Agri-Food.
Topics: Population, Soil water, Gene, Manure, Tillage
Papers published on a yearly basis
Papers
More filters
••
TL;DR: Microencapsulation of bifidobacteria did not significantly improve survival over free cells when exposed to simulated gastric juice, and survival was improved for microencapsulated BifidOBacteria longum Bb-46 over that of free cells during refrigerated storage in milk with 2% fat.
429 citations
••
TL;DR: Existing mycological research networks should facilitate the rapid development of DNA barcoding of fungi once the marker issue is settled, and some available online fungal identification databases are briefly described.
Abstract: The use of DNA sequences for identifying fungi and fungus-like organisms predates the DNA barcoding movement by at least 10 years. A brief overview of the mycological shift from phenotypic to molecular taxonomy is provided. Exploration of the animal barcode marker, cytochrome oxidase 1, by Canadian mycologists has been fruitful for some fungi, but intron issues and lack of resolution in other taxa prevent its universal application. The momentum established by 15 years of research on the fungal nuclear ribosomal internal transcribed spacer (ITS) sequences will lead to a proposal to the Consortium for the Barcode of Life on the adoption of this marker as the fungal barcode. Existing mycological research networks should facilitate the rapid development of DNA barcoding of fungi once the marker issue is settled. Some available online fungal identification databases are briefly described.
428 citations
••
California Institute of Technology1, United States Department of Agriculture2, Goddard Space Flight Center3, Massachusetts Institute of Technology4, University of Texas at Austin5, Monash University, Clayton campus6, University of Guelph7, Agriculture and Agri-Food Canada8, Comisión Nacional de Actividades Espaciales9, University of Salamanca10, National Oceanic and Atmospheric Administration11, University of Colorado Boulder12, University of Arizona13, Centre national de la recherche scientifique14, Centre National D'Etudes Spatiales15
TL;DR: The Level 2 Passive Soil Moisture Product (L2_SM_P) as discussed by the authors was developed by the National Aeronautics and Space Administration (NASA) soil moisture active passive (SMAP) satellite mission and is available from the Distributed Active Archive Center at the National Snow and Ice Data Center.
Abstract: The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using an L-band (active) radar and an L-band (passive) radiometer. After an irrecoverable hardware failure of the radar on July 7, 2015, the radiometer-only soil moisture product became the only operational soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 km Earth-fixed grid produced using brightness temperature observations from descending passes. Within months after the commissioning of the SMAP radiometer, the product was assessed to have attained preliminary (beta) science quality, and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. This paper provides a summary of the Level 2 Passive Soil Moisture Product (L2_SM_P) and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted between March 31, 2015 and October 26, 2015, at a limited number of core validation sites (CVSs) and several hundred sparse network points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance among algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the CVSs was 0.038 m3/m3 unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 m3/m3.
426 citations
••
Colorado State University1, University of Georgia2, Landcare Research3, Canadian Forest Service4, Agriculture and Agri-Food Canada5, Queen Mary University of London6, Macquarie University7, Academy of Sciences of the Czech Republic8, University of Jena9, University of Giessen10, Kenya Methodist University11, Forestry Tasmania12, Institut de recherche pour le développement13, University of Lethbridge14, Cardiff University15, Universiti Malaysia Sabah16, International Center for Tropical Agriculture17, Pontifical Xavierian University18, University of Puerto Rico19, Xishuangbanna Tropical Botanical Garden20
TL;DR: Inclusion of soil animals will improve the predictive capabilities of region- or biome-scale decomposition models, soil animal influences on decomposition are important at the regional scale when attempting to predict global change scenarios, and the statistical relationship between decomposition rates and climate, at the global scale, is robust against changes in soil faunal abundance and diversity.
Abstract: Climate and litter quality are primary drivers of terrestrial decomposition and, based on evidence from multisite experiments at regional and global scales, are universally factored into global decomposition models. In contrast, soil animals are considered key regulators of decomposition at local scales but their role at larger scales is unresolved. Soil animals are consequently excluded from global models of organic mineralization processes. Incomplete assessment of the roles of soil animals stems from the difficulties of manipulating invertebrate animals experimentally across large geographic gradients. This is compounded by deficient or inconsistent taxonomy. We report a global decomposition experiment to assess the importance of soil animals in C mineralization, in which a common grass litter substrate was exposed to natural decomposition in either control or reduced animal treatments across 30 sites distributed from 43°S to 68°N on six continents. Animals in the mesofaunal size range were recovered from the litter by Tullgren extraction and identified to common specifications, mostly at the ordinal level. The design of the trials enabled faunal contribution to be evaluated against abiotic parameters between sites. Soil animals increase decomposition rates in temperate and wet tropical climates, but have neutral effects where temperature or moisture constrain biological activity. Our findings highlight that faunal influences on decomposition are dependent on prevailing climatic conditions. We conclude that (1) inclusion of soil animals will improve the predictive capabilities of region- or biome-scale decomposition models, (2) soil animal influences on decomposition are important at the regional scale when attempting to predict global change scenarios, and (3) the statistical relationship between decomposition rates and climate, at the global scale, is robust against changes in soil faunal abundance and diversity.
425 citations
Authors
Showing all 10964 results
Name | H-index | Papers | Citations |
---|---|---|---|
Fereidoon Shahidi | 119 | 951 | 57796 |
Miao Liu | 111 | 993 | 59811 |
Xiang Li | 97 | 1472 | 42301 |
Eviatar Nevo | 95 | 848 | 40066 |
Tim A. McAllister | 85 | 862 | 32409 |
Hubert Kolb | 84 | 420 | 25451 |
Daniel M. Weary | 83 | 437 | 22349 |
Karen A. Beauchemin | 83 | 423 | 22351 |
Nanthi Bolan | 83 | 550 | 31030 |
Oene Oenema | 80 | 361 | 23810 |
Santosh Kumar | 80 | 1196 | 29391 |
Yueming Jiang | 79 | 452 | 20563 |
Denis A. Angers | 76 | 256 | 19321 |
Tong Zhu | 72 | 472 | 18205 |
Christophe Lacroix | 69 | 353 | 15860 |