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: The data suggest the appropriateness of the QIAamp DNA Stool Mini Kit for the studies of gut microbial ecology and the effectiveness of theQIAamp kit in processing multiple samples for cell lysis and DNA extraction and the high quality of DNA extracts generated using the two methods.
161 citations
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TL;DR: Season, stream order, turbidity, mean daily temperature, surface water discharge, cropland coverage, and nearest upstream distance to a barn and pasture were variables that were relatively strong and recurrent with regard to discriminating pathogen presence and absence, and parasite densities in surface water in the region.
161 citations
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TL;DR: In this article, the authors considered the impact of agriculture on climate and proposed mitigation techniques such as improved feed quality for a better digestibility, improved manure management, greater N use efficiency, better water management of rice paddies and/or by increasing the role of agro-forestry in agriculture.
161 citations
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TL;DR: Genetic selection for residual feed intake is an indirect approach for reducing enteric methane (CH4) emissions in beef and dairy cattle and is expected to improve feed efficiency and reduce enteric CH4 emissions from cattle by 0.75% to 1.0% per year at equal levels of body size, growth and body fatness.
Abstract: Genetic selection for residual feed intake (RFI) is an indirect approach for reducing enteric methane (CH4) emissions in beef and dairy cattle. RFI is moderately heritable (0.26 to 0.43), moderately repeatable across diets (0.33 to 0.67) and independent of body size and production, and when adjusted for off-test ultrasound backfat thickness (RFIfat) is also independent of body fatness in growing animals. It is highly dependent on accurate measurement of individual animal feed intake. Within-animal repeatability of feed intake is moderate (0.29 to 0.49) with distinctive diurnal patterns associated with cattle type, diet and genotype, necessitating the recording of feed intake for at least 35 days. In addition, direct measurement of enteric CH4 production will likely be more variable and expensive than measuring feed intake and if conducted should be expressed as CH4 production (g/animal per day) adjusted for body size, growth, body composition and dry matter intake (DMI) or as residual CH4 production. A further disadvantage of a direct CH4 phenotype is that the relationships of enteric CH4 production on other economically important traits are largely unknown. Selection for low RFIfat (efficient, −RFIfat) will result in cattle that consume less dry matter (DMI) and have an improved feed conversion ratio (FCR) compared with high RFIfat cattle (inefficient; +RFIfat). Few antagonistic effects have been reported for the relationships of RFIfat on carcass and meat quality, fertility, cow lifetime productivity and adaptability to stress or extensive grazing conditions. Low RFIfat cattle also produce 15% to 25% less enteric CH4 than +RFIfat cattle, since DMI is positively related to enteric methane (CH4) production. In addition, lower DMI and feeding duration and frequency, and a different rumen bacterial profile that improves rumen fermentation in −RFIfat cattle may favor a 1% to 2% improvement in dry matter and CP digestibility compared with +RFIfat cattle. Rate of genetic change using this approach is expected to improve feed efficiency and reduce enteric CH4 emissions from cattle by 0.75% to 1.0% per year at equal levels of body size, growth and body fatness compared with cattle not selected for RFIfat.
160 citations
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TL;DR: A perspective focused on identifying novel approaches and research directions to facilitate control of plant viruses by better understanding and targeting virus–insect molecular interactions is provided.
Abstract: Acquisition and transmission by an insect vector is central to the infection cycle of the majority of plant pathogenic viruses. Plant viruses can interact with their insect host in a variety of ways including both non-persistent and circulative transmission; in some cases, the latter involves virus replication in cells of the insect host. Replicating viruses can also elicit both innate and specific defense responses in the insect host. A consistent feature is that the interaction of the virus with its insect host/vector requires specific molecular interactions between virus and host, commonly via proteins. Understanding the interactions between plant viruses and their insect host can underpin approaches to protect plants from infection by interfering with virus uptake and transmission. Here, we provide a perspective focused on identifying novel approaches and research directions to facilitate control of plant viruses by better understanding and targeting virus–insect molecular interactions. We also draw parallels with molecular interactions in insect vectors of animal viruses, and consider technical advances for their control that may be more broadly applicable to plant virus vectors.
160 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 |