Advances in Research on Southern Corn Rust, a Devasting Fungal Disease DOI Open Access

Yanyong Cao,

Zeqiang Cheng,

Juan Ma

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(24), P. 13644 - 13644

Published: Dec. 20, 2024

Southern corn rust (SCR), caused by the obligate biotrophic fungus Puccinia polysora Underw., represents one of most devastating threats to maize production, potentially resulting in yield losses exceeding 50%. Due global climate change and cropping practices, epiphytotics SCR have been increasingly reported, are progressively spreading from tropical subtropical growing areas higher latitude areas. Over past decade, researchers worldwide undertaken extensive investigations into SCR, encompassing its occurrence transmission pathways, causative pathogen, identification resistant/tolerant germplasms along with associated genes/QTL, as well potential control strategies. Nevertheless, information pertaining this disease remains fragmented; thus far, standardized preventive measures yet be established. In response situation, review seeks comprehensively synthesize research findings on while providing valuable insights occurrence, prevention, strategies aimed at mitigating adverse impact production.

Language: Английский

A survey of unmanned aerial vehicles and deep learning in precision agriculture DOI
Dashuai Wang,

Minghu Zhao,

Zhuolin Li

et al.

European Journal of Agronomy, Journal Year: 2024, Volume and Issue: 164, P. 127477 - 127477

Published: Dec. 17, 2024

Language: Английский

Citations

5
Assessing Vegetation Canopy Growth Variations in Northeast China DOI Creative Commons
Lijie Lu, Lingxue Yu, Xuan Li

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(1), P. 143 - 143

Published: Jan. 6, 2025

Studying climate change’s impact on vegetation canopy growth and senescence is significant for understanding predicting dynamics. However, there a lack of adequate research changes across the lifecycles different types. Using GLASS LAI (leaf area index) data (2001–2020), we investigated development (April–June), maturity (July–August), (September–October) rates in Northeast China, focusing their responses to preseason climatic factors. We identified that early stages saw acceleration, with over 71% areas experiencing such acceleration April May. As grew, accelerating slowed down, reached its maturation earlier. By analyzing partial correlation between factors, it was were most significantly affected by air temperature. A positive observed stages, which shifted negative during senescence. Notably, transition timing varied among types, grasslands (June) occurring earlier than forests (July) farmlands (August). Additionally, grassland showed stronger response precipitation farmlands, lagged effect 2.50 months. Our findings improve holding importance ecological environmental monitoring, land-use planning, sustainable development.

Language: Английский

Citations

0
Algorithms for Plant Monitoring Applications: A Comprehensive Review DOI Creative Commons
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri

et al.

Algorithms, Journal Year: 2025, Volume and Issue: 18(2), P. 84 - 84

Published: Feb. 5, 2025

Many sciences exploit algorithms in a large variety of applications. In agronomy, amounts agricultural data are handled by adopting procedures for optimization, clustering, or automatic learning. this particular field, the number scientific papers has significantly increased recent years, triggered scientists using artificial intelligence, comprising deep learning and machine methods bots, to process crop, plant, leaf images. Moreover, many other examples can be found, with different applied plant diseases phenology. This paper reviews publications which have appeared past three analyzing used classifying agronomic aims crops applied. Starting from broad selection 6060 papers, we subsequently refined search, reducing 358 research articles 30 comprehensive reviews. By summarizing advantages applying analyses, propose guide farming practitioners, agronomists, researchers, policymakers regarding best practices, challenges, visions counteract effects climate change, promoting transition towards more sustainable, productive, cost-effective encouraging introduction smart technologies.

Language: Английский

Citations

0
Advances in Research on Southern Corn Rust, a Devasting Fungal Disease DOI Open Access

Yanyong Cao,

Zeqiang Cheng,

Juan Ma

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(24), P. 13644 - 13644

Published: Dec. 20, 2024

Southern corn rust (SCR), caused by the obligate biotrophic fungus Puccinia polysora Underw., represents one of most devastating threats to maize production, potentially resulting in yield losses exceeding 50%. Due global climate change and cropping practices, epiphytotics SCR have been increasingly reported, are progressively spreading from tropical subtropical growing areas higher latitude areas. Over past decade, researchers worldwide undertaken extensive investigations into SCR, encompassing its occurrence transmission pathways, causative pathogen, identification resistant/tolerant germplasms along with associated genes/QTL, as well potential control strategies. Nevertheless, information pertaining this disease remains fragmented; thus far, standardized preventive measures yet be established. In response situation, review seeks comprehensively synthesize research findings on while providing valuable insights occurrence, prevention, strategies aimed at mitigating adverse impact production.

Language: Английский

Citations

0