Zobrazeno 1 - 10 of 157 pro vyhledávání: '"and Shawn P. Conley"'
1
Akademický článek
Cropping systems with perennial vegetation and livestock integration promote soil health
Autor: Abigail J. Augarten, Lindsay Chamberlain Malone, Gregory S. Richardson, Randall D. Jackson, Michel A. Wattiaux, Shawn P. Conley, Amber M. Radatz, Eric T. Cooley, Matthew D. Ruark
Publikováno v: Agricultural & Environmental Letters, Vol 8, Iss 1, Pp n/a-n/a (2023)
Abstract Soil health can differ across cropping systems because of variation in edaphic and management factors. We evaluated how biological indicators of soil health (soil organic matter [SOM], permanganate oxidizable carbon [POXC], mineralizable car
Externí odkaz: https://doaj.org/article/d9fb9d9a64404121a07cbd58cd3a7929
Zobrazit plný text záznamu
2
Akademický článek
Advancing agricultural research using machine learning algorithms
Autor: Spyridon Mourtzinis, Paul D. Esker, James E. Specht, Shawn P. Conley
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract Rising global population and climate change realities dictate that agricultural productivity must be accelerated. Results from current traditional research approaches are difficult to extrapolate to all possible fields because they are depen
Externí odkaz: https://doaj.org/article/b24c1ea5518c4a0baa41b5a535eaecac
Zobrazit plný text záznamu
3
Akademický článek
A machine learning interpretation of the contribution of foliar fungicides to soybean yield in the north‐central United States
Autor: Denis A. Shah, Thomas R. Butts, Spyridon Mourtzinis, Juan I. Rattalino Edreira, Patricio Grassini, Shawn P. Conley, Paul D. Esker
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Foliar fungicide usage in soybeans in the north-central United States increased steadily over the past two decades. An agronomically-interpretable machine learning framework was used to understand the importance of foliar fungicides relative
Externí odkaz: https://doaj.org/article/3e866ed6e642441da082bfc5398484cf
Zobrazit plný text záznamu
4
Akademický článek
Influence of Postemergence Dicamba/Glyphosate Timing and Inclusion of Acetochlor as a Layered Residual on Weed Control and Soybean Yield
Autor: Sarah Striegel, Maxwel C. Oliveira, Ryan P. DeWerff, David E. Stoltenberg, Shawn P. Conley, Rodrigo Werle
Publikováno v: Frontiers in Agronomy, Vol 3 (2021)
Roundup Ready 2 Xtend® [glyphosate- and dicamba-resistant (DR)] soybean is a novel trait option for postemergence (POST) control of herbicide-resistant broadleaf weeds in soybean. With increased use of labeled dicamba products POST in DR soybean and
Externí odkaz: https://doaj.org/article/18b9ba6733a24e6ca18577eb3d22509d
Zobrazit plný text záznamu
5
Akademický článek
Host-Induced Gene Silencing of a Sclerotinia sclerotiorum oxaloacetate acetylhydrolase Using Bean Pod Mottle Virus as a Vehicle Reduces Disease on Soybean
Autor: Megan McCaghey, Dandan Shao, Jake Kurcezewski, Ally Lindstrom, Ashish Ranjan, Steven A. Whitham, Shawn P. Conley, Brett Williams, Damon L. Smith, Mehdi Kabbage
Publikováno v: Frontiers in Plant Science, Vol 12 (2021)
A lack of complete resistance in the current germplasm complicates the management of Sclerotinia stem rot (SSR) caused by Sclerotinia sclerotiorum in soybean. In this study, we used bean pod mottle virus (BPMV) as a vehicle to down-regulate expressio
Externí odkaz: https://doaj.org/article/feda19f94e1046879c0b9f6266288854
Zobrazit plný text záznamu
7
Akademický článek
Planting method and seeding rate effect on whole and partitioned soybean yield
Autor: Spyros Mourtzinis, Adam Roth, John Gaska, Shawn P. Conley
Publikováno v: Agrosystems, Geosciences & Environment, Vol 4, Iss 3, Pp n/a-n/a (2021)
Abstract Soybean [Glycine max (L.) Merr.] seeding rate is one of the most important management decisions. Although seeding rate effect on yield is one of the most examined management practices, its interactive effect with seeding method is often igno
Externí odkaz: https://doaj.org/article/913e784813fa4b45af904a991c648eea
Zobrazit plný text záznamu
8
Akademický článek
Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States I: Foliar fungicides vs foliar diseases.
Autor: Ananda Y Bandara, Dilooshi K Weerasooriya, Shawn P Conley, Carl A Bradley, Tom W Allen, Paul D Esker
Publikováno v: PLoS ONE, Vol 15, Iss 6, p e0234390 (2020)
Fungicide use in the United States to manage soybean diseases has increased in recent years. The ability of fungicides to reduce disease-associated yield losses varies greatly depending on multiple factors. Nonetheless, historical data are useful to
Externí odkaz: https://doaj.org/article/b51750f8acb64a73b2f16e61ed60c93f
Zobrazit plný text záznamu
9
Akademický článek
Modeling the relationship between estimated fungicide use and disease-associated yield losses of soybean in the United States II: Seed-applied fungicides vs seedling diseases.
Autor: Ananda Y Bandara, Dilooshi K Weerasooriya, Shawn P Conley, Tom W Allen, Paul D Esker
Publikováno v: PLoS ONE, Vol 15, Iss 12, p e0244424 (2020)
Use of seed-applied fungicides has become commonplace in the United States soybean production systems. Although fungicides have the potential to protect seed/seedlings from critical early stage diseases such as damping-off and root/stem rots, results
Externí odkaz: https://doaj.org/article/c1b8de27fa724c63bbcbfadb67ec5670
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje