Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Marja, Jalli"'
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1779 (2024)
Predictive information on plant diseases could help to reduce and optimize the usage of pesticides in agriculture. This research presents classification procedures with linear discriminant analysis to predict three possible severity levels of net blo
Externí odkaz:
https://doaj.org/article/b44bede4686f41af9cf49bf15651d16d
Publikováno v:
Environmental Sciences Europe, Vol 35, Iss 1, Pp 1-8 (2023)
Abstract Background Intensive agriculture, including pesticides, is one of the many reasons for pollinator decline. The EU legislation on plant protection products (hereon pesticides) demands that the risks of active substances and their use in pesti
Externí odkaz:
https://doaj.org/article/c6cdc85403f9495780c55edf9fcb5e03
Publikováno v:
BMC Ecology and Evolution, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Pesticides are identified as one of the major reasons for the global pollinator decline. However, the sublethal effects of pesticide residue levels found in pollen and nectar on pollinators have been studied little. The aim of our
Externí odkaz:
https://doaj.org/article/49400988921a4871a59c379134a78ed8
Autor:
Mirko Pavicic, Katriina Mouhu, Juho Hautsalo, Daniel Jacobson, Marja Jalli, Kristiina Himanen
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Oat-based value-added products have increased their value as healthy foodstuff. Fusarium head blight (FHB) infections and the mycotoxins accumulated to the oat seeds, however, pose a challenge to oat production. The FHB infections are predicted to be
Externí odkaz:
https://doaj.org/article/c742ad55ff8c48908492653f27e60a15
Autor:
Lise Nistrup Jørgensen, Niels Matzen, Andrea Ficke, Björn Andersson, Marja Jalli, Antanas Ronis, Ghita C. Nielsen, Patrik Erlund, Annika Djurle
Publikováno v:
Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, Vol 71, Iss 4, Pp 247-260 (2021)
The disease pressure from Pyrenophora teres, Rhynchosporium graminicola, and Ramularia collo–cygni varies widely between years and locations, which highlights the need for using risk models to avoid unnecessary use of fungicides. Three disease risk
Externí odkaz:
https://doaj.org/article/88d0bbe7992f49dd8cb126edc8620a03
Publikováno v:
Agriculture, Vol 12, Iss 11, p 1939 (2022)
The performance of meteorological data-based methods to forecast plant diseases strongly depends on temporal weather information. In this paper, a data analysis procedure is presented for finding the optimal starting time for forecasting net blotch d
Externí odkaz:
https://doaj.org/article/c0cd2d3993e548c8ab4f498b5e300f17
Autor:
Marja Jalli, Erja Huusela, Heikki Jalli, Katja Kauppi, Mari Niemi, Sari Himanen, Lauri Jauhiainen
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 5 (2021)
Crop rotation and soil tillage are among key factors impacting cropping system productivity, pest management and soil health. To assess their role in northern cropping systems, we quantified the effects of crop rotation on spring wheat yield in diffe
Externí odkaz:
https://doaj.org/article/f76361960bf745aeb5c27ef0c34166ae
Autor:
Magnus Göransson, Jón Hallsteinn Hallsson, Morten Lillemo, Jihad Orabi, Gunter Backes, Ahmed Jahoor, Jónatan Hermannsson, Therese Christerson, Stine Tuvesson, Bo Gertsson, Lars Reitan, Muath Alsheikh, Reino Aikasalo, Mika Isolahti, Merja Veteläinen, Marja Jalli, Lene Krusell, Rasmus L. Hjortshøj, Birger Eriksen, Therése Bengtsson
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
The northwards expansion of barley production requires adaptation to longer days, lower temperatures and stronger winds during the growing season. We have screened 169 lines of the current barley breeding gene pool in the Nordic region with regards t
Externí odkaz:
https://doaj.org/article/550afe8e4a6040c682018335029c1c0d
Autor:
Katja Kauppi, Ari Rajala, Erja Huusela, Janne Kaseva, Pentti Ruuttunen, Heikki Jalli, Laura Alakukku, Marja Jalli
Publikováno v:
Agronomy, Vol 11, Iss 3, p 592 (2021)
The effect of weeds, plant diseases and insect pests on spring barley (Hordeum vulgare) and spring wheat (Triticum aestivum) grain and nutrient yield was examined. Long-term field trial data was used to assess the impact of different pests on grain y
Externí odkaz:
https://doaj.org/article/01470ea0b2364302858c1174ceb1036a
Publikováno v:
Agriculture, Vol 10, Iss 5, p 179 (2020)
A novel data analysis method for the evaluation of plant disease risk that utilizes weather information is presented in this paper. This research considers two different datasets: open weather data from the Finnish Meteorological Institute and long-t
Externí odkaz:
https://doaj.org/article/68545fbb411d4a8084c0c3222f5661b4