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, Manure, Tillage, Loam
Papers published on a yearly basis
Papers
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TL;DR: A review of the literature on the influence of land use and management practices on soil organic matter (DOM) and water-extractable organic matter(WEOM) can be found in this article.
696 citations
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TL;DR: In this article, the structural characteristics and separation of lignin in the straws of corn, wheat, rice and flax are discussed, and the first attempt to generalize the information about the structure and processes for the separation of Lignin from hemicellulose and cellulose in lignocellulosic crop residues is made.
692 citations
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TL;DR: Of the 42 anthocyanin compounds observed, 9 were characterized by comparison of the spectroscopic and chromatographic properties with those of authentic standards and the remaining compounds were tentatively identified on the basis ofSpectroscopic properties and electrospray ionization mass spectra.
Abstract: Anthocyanin pigments from a wide variety of edible and ornamental black, blue, pink, purple, red, and white wheat, barley, corn, rice, and wild rice were identified and quantified to evaluate their...
685 citations
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TL;DR: Improve forage quality and the overall efficiency of dietary nutrient use is an effective way of decreasing CH4 Ei, and several feed supplements have a potential to reduce CH4 emission from ruminants although their long-term effect has not been well established and some are toxic or may not be economically feasible.
Abstract: The goal of this review was to analyze published data related to mitigation of enteric methane (CH 4 ) emissions from ruminant animals to document the most effective and sustainable strategies. Increas- ing forage digestibility and digestible forage intake was one of the major recommended CH 4 mitigation practices. Although responses vary, CH 4 emissions can be reduced when corn silage replaces grass silage in the diet. Feeding legume silages could also lower CH 4 emissions compared to grass silage due to their lower fiber concentration. Dietary lipids can be effec- tive in reducing CH 4 emissions, but their applicabil- ity will depend on effects on feed intake, fiber digest- ibility, production, and milk composition. Inclusion of concentrate feeds in the diet of ruminants will likely decrease CH 4 emission intensity (Ei; CH 4 per unit animal product), particularly when inclusion is above 40% of dietary dry matter and rumen function is not impaired. Supplementation of diets containing medium to poor quality forages with small amounts of concen- trate feed will typically decrease CH 4 Ei. Nitrates show promise as CH 4 mitigation agents, but more studies are needed to fully understand their impact on whole-farm greenhouse gas emissions, animal productivity, and animal health. Through their effect on feed efficiency and rumen stoichiometry, ionophores are likely to have a moderate CH 4 mitigating effect in ruminants fed high-grain or mixed grain-forage diets. Tannins may also reduce CH 4 emissions although in some situations intake and milk production may be compromised. Some direct-fed microbials, such as yeast-based products, might have a moderate CH 4 -mitigating effect through increasing animal productivity and feed efficiency, but the effect is likely to be inconsistent. Vaccines against rumen archaea may offer mitigation opportunities in the future although the extent of CH 4 reduction is like- ly to be small and adaptation by ruminal microbes and persistence of the effect is unknown. Overall, improv- ing forage quality and the overall efficiency of dietary nutrient use is an effective way of decreasing CH 4 Ei. Several feed supplements have a potential to reduce CH 4 emission from ruminants although their long-term effect has not been well established and some are toxic or may not be economically feasible.
656 citations
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TL;DR: A message passing interface version of PhyloBayes is introduced, implementing the Dirichlet process mixture models as well as more classical empirical matrices and finite mixtures, allowing faster phylogenetic reconstruction under complex mixture models.
Abstract: Modeling across site variation of the substitution process is increasingly recognized as important for obtaining more accurate phylogenetic reconstructions. Both finite and infinite mixture models have been proposed and have been shown to significantly improve on classical single-matrix models. Compared with their finite counterparts, infinite mixtures have a greater expressivity. However, they are computationally more challenging. This has resulted in practical compromises in the design of infinite mixture models. In particular, a fast but simplified version of a Dirichlet process model over equilibrium frequency profiles implemented in PhyloBayes has often been used in recent phylogenomics studies, while more refined model structures, more realistic and empirically more fit, have been practically out of reach. We introduce a message passing interface version of PhyloBayes, implementing the Dirichlet process mixture models as well as more classical empirical matrices and finite mixtures. The parallelization is made efficient thanks to the combination of two algorithmic strategies: a partial Gibbs sampling update of the tree topology and the use of a truncated stick-breaking representation for the Dirichlet process prior. The implementation shows close to linear gains in computational speed for up to 64 cores, thus allowing faster phylogenetic reconstruction under complex mixture models. PhyloBayes MPI is freely available from our website www.phylobayes.org.
653 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 |