Stabilisation of Tomato Yellow Leaf Curl China Virus Infectious Clones Through Micro-Homology Mediated End Joining. [PDF]
Wang A +9 more
europepmc +1 more source
Aphid Resistance in Pulse Crops: Sources, Mechanisms, Genetics and Breeding
ABSTRACT Aphids are major pests of pulse crops, causing damage through phloem sap feeding and virus transmission. In this context, resistant varieties are central components of sustainable aphid management. This review synthesizes current knowledge on resistance sources, phenotyping strategies, resistance mechanisms, genetic control and breeding ...
Francisco A. Mendes +3 more
wiley +1 more source
Endophyte profiling of tomato leaf curl virus (ToLCV) resistant and susceptible tomato genotypes: Insights into microbial diversity and growth promotion. [PDF]
Chethan D +10 more
europepmc +1 more source
Biological Flora of New Zealand 17: Kunzea ericoides (Myrtaceae), Kānuka
This review summarises the taxonomic status, morphology, physiology, ecology, plant communities, mycological, invertebrate and vertebrate interactions and human use of the New Zealand endemic tree Kunzea ericoides (A. Rich.) Joy Thomps. (kānuka) (Myrtaceae).
P. J. Bellingham +8 more
wiley +1 more source
Development and Application of a Multiplex PCR Assay for Simultaneous Detection of Tomato Yellow Leaf Curl Virus and Tomato Leaf Curl New Delhi Virus. [PDF]
Hu H, Zhang J, Wu X, Li L, Qian Y.
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
A SUMO interacting motif in the replication initiator protein of tomato yellow leaf curl virus is required for viral replication. [PDF]
Gaertner NF +9 more
europepmc +1 more source
Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta +7 more
wiley +1 more source

