Results 151 to 160 of about 3,296 (189)
A lightweight deep convolutional neural network development for soybean leaf disease recognition. [PDF]
Zhang Y +9 more
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PLDC-Net: A Domain-Specific Base Model for Plant Leaf Disease Classification Domain Adaptation Tasks. [PDF]
Richter DJ, Kim K.
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Electrochemical Biosensors for Oilseed Crops: Nanomaterial-Driven Detection and Smart Agriculture. [PDF]
Jiang Y +7 more
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Resistance of Soybean to rust in Australia.
Australasian Plant Pathology, 1976Previously no immunity or high degree of resistance to soybean rust has been reported. The tests described have demonstrated that strong resistance to rust does exist in soybean genotypes, and in particular in one accession of P1200492 (Q12956) and the cultivars derived from it (Tainung 3 and Tainung 4) and in lines P1227268, PI227687 and HY2217 ...
McLean R., Byth D.E.
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Evaluation of soybean for resistance to soybean rust in Vietnam
Field Crops Research, 2010Abstract Soybean rust, caused by Phakopsora pachyrhizi Sydow, is a severe foliar disease of soybean [ Glycine max (L.) Merr.] that occurs throughout most soybean producing regions of the world. The objective of this research was to evaluate selected soybean genotypes for resistance to soybean rust in Vietnam. Five field experiments in Vietnam were
Pham, T.A. +8 more
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Soybean Rust Development and the Quantitative Relationship Between Rust Severity and Soybean Yield
Plant Disease, 1991Phakospora pachyrhizi was inoculated on two soybean (Glycine max) genotypes at three different reproductive growth stages (GS) in four trials. Leaf rust was more severe on Taita Kaohsiung No. 5 (TK 5), a commercial cultivar, than on SRE-B15-A (B15 A), a genotype selected for tolerance to leaf rust.
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Economic Impacts of Soybean Rust on the US Soybean Sector
2009The 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
Gomez, Miguel I. +2 more
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Soybean Rust: Is the U.S. Soybean Crop At Risk?
APSnet Feature Articles, 2003Monte R. Miles +2 more
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