2,252,324 research outputs found
Combating stem and leaf rust of wheat: Historical perspective, impacts, and lessons learned
No full textmillions fed, food security, wheat rust, stem rust, leaf rust, Norman Borlaug,
Sources of resistance to yellow rust and stem rust in wheat-alien introgressions
No full textWheat is the staple food and the main source of caloric intake in most developing countries, and thereby an important source in order to maintain food security for the growing populations in those countries. Stem rust Puccinia graminis f. sp. tritici, and yellow rust P. striiformis f. sp. tritici of wheat continues to cause severe damage locally and globally, thereby contributing to food insecurity. In this paper biology and taxonomy of stem rust and yellow rust, breeding for resistance, utilization of resistance sources from different gene pools, molecular characterization and genetic dissection of resistance to rusts are discussed
rust-bio/rust-htslib: Version 0.13.0 of Rust-Htslib
No full text<p>Various minor API improvements. See <a href="https://github.com/rust-bio/rust-htslib/blob/master/CHANGELOG.md">changelog</a>.</p>
rust-bio/rust-htslib: Version 0.12.0 of Rust-Htslib
No full text<p>This release improves the CIGAR API and adds seek/tell support (see <a href="https://github.com/rust-bio/rust-htslib/blob/master/CHANGELOG.md">changelog</a>).</p>
Interrelations between citrus rust mite, Hirsutella thompsonii and greasy spot on citrus in Surinam
No full textCounts of citrus rust mite (Phyllocoptruta oleivora (Ashm.)) on leaves and fruit of citrus rose to a peak in the two dry seasons, the build up taking 4-5 weeks. It then decreased partly through infection by the entomogenous fungus Hirsutellathompsonii Fisher and partly through a decline in feed quality. The low counts in the wet seasons were associated with rain rather than humidity, temperature or infections by H. thompsonii. Spraying with suspensions of fragmented mycelium of H. thompsonii (mass concentration 0.5-1.0 g litre -1) prevented the build up of citrus rust mite.The severity of greasy spot (Stenella sp.) was positively correlated with counts of citrus rust mite. Defoliation of citrus trees after greasy spot infection was associated with high counts of mite.Control of citrus rust mite (with chlorobenzilate: mass concentration of a.i. 2 g litre -1at 500 litre ha -1) was warranted when 25% of fruit or 15% of leaves bore at least one mite per lens field (1.5 cm 2). Greasy spot could be controlled by preventing build-ups of citrus rust mite
Economic Impacts of Soybean Rust on the US Soybean Sector
No full textThe spread of Asian Soybean Rust (ASR) represents a real threat to the U.S. soybean sector. We assess the potential impacts of ASR on domestic soybean production and commodity markets as well as the competitive position of the US in the soybean export market. We develop a mathematical stochastic dynamic sector model with endogenous prices to assess the economic impacts of ASR on US agriculture. The model takes into account the disease spread during the cropping season, the inherent uncertainty regarding the risk of infection, and the dichotomous decisions that farmers make (no treatment, preventive treatment, and curative treatment) facing the risk of infection. Our results suggest substantial impacts from potential ASR spread on agricultural output, prices and exports. Our simulation results suggest that substantial losses to the US soybean producers may be avoided by establishing effective soybean rust controls. ASR control policies can be particularly efficient if applied in the gateway regions on the path of the ASR spread. On the other hand, our results indicate a possible gradual shift in soybean production from lower-latitude states toward higher-latitude statesAsian Soybean Rust, Stochastic Models, Dynamic Models, Crop Production/Industries, C61, Q13,
Economic Impacts of Soybean Rust on the US Soybean Sector
No full textThe spread of Asian Soybean Rust (ASR) represents a real threat to the U.S. soybean sector. We assess the potential impacts of ASR on domestic soybean production and commodity markets as well as the competitive position of the US in the soybean export market. We develop a mathematical stochastic dynamic sector model with endogenous prices to assess the economic impacts of ASR on US agriculture. The model takes into account the disease spread during the cropping season, the inherent uncertainty regarding the risk of infection, and the dichotomous decisions that farmers make (no treatment, preventive treatment, and curative treatment) facing the risk of infection. Our results suggest substantial impacts from potential ASR spread on agricultural output, prices and exports. Our simulation results suggest that substantial losses to the US soybean producers may be avoided by establishing effective soybean rust controls. ASR control policies can be particularly efficient if applied in the gateway regions on the path of the ASR spread. On the other hand, our results indicate a possible gradual shift in soybean production from lower-latitude states toward higher-latitude states.Asian Soybean Rust, Stochastic Models, Dynamic Models, Agribusiness, Marketing, C61, Q13,
Stem rust of wheat
No full textStem rust is an occasional, but devastating disease of wheat. Epidemics occur when there is a carry over of stem rust from the previous season, susceptible varieties of wheat are grown, and warm humid conditions in the spring encourage disease development
PHILIP MILLER Composer DOCTORAL RECITAL Saturday, November 22, 2003 5:30 p.m. Lillian H. Duncan Recital Hall
No full textProgram: Klang fur Klavier / Philip Miller -- Talking to the Mirror / Philip Miller -- CANTO I per quartetto d'árchi / Philip Miller -- Toccata per flauto solo / Philip Miller -- Trittico for chamber orchestra / Philip Miller.This recital is given in partial fulfillment of the requirements for Doctor of Musical Arts degree
Decision Support System for Soybean Rust (Phakopsora pachyrhizi) Management using QnD
No full textThe objective of this project is to design a decision support system for soybean rust management using gaming software that incorporates farmer's decision making in the face of risks from soybean rust. Learning from past actions and neighbor's actions are also incorporated. Farmers observe rust outbreak in the current and past periods and decide over how much of land to allocate between soybean, corn and other crops. This decision is influenced by maximization of expected profits criterion which entails crop rotation choices that are based upon perceived risks, yield drags and input costs from altering optimum rotation patterns. Adoption of new technology in terms of selecting better rust management practices is also analyzed in an adaptive management framework. The software meets the need of guiding policy formulation besides training stakeholders in making economically sound choices in the absence of empirical data over pest infestation.Research Methods/ Statistical Methods,
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