By Sadik Tuzun (auth.), Sadik Tuzun, Elizabeth Bent (eds.)
This finished quantity includes a sequence of updated reports, each one incorporating present versions and information regarding mechanisms of resistance both expressed constitutively or brought on systemically in vegetation. every one bankruptcy covers a subject regarding the phenomenon of plant resistance to fungal and bacterial pathogens, bugs, nematodes, viruses or abiotic rigidity in crops, in addition to the appliance of this data to guard plants now and sooner or later. Researchers, upper-level undergraduate and graduate scholars, and people instructing classes in plant body structure, entomology and plant pathology will locate this quantity a far wanted asset.
Featured themes include:
QTL research of multigenic disorder resistance in plant breeding
Ultrastructural reports in plant ailment resistance
Chemical signs in plant resistance: salicylic acid
Signaling in plant resistance responses: divergence and cross-talk of protection pathways
Tree defenses opposed to bugs
Chemical indications in crops: jasmonates and the function of insect-derived elicitors in responses to herbivores
Engineering crops for sturdy affliction resistance
Commercialization of plant systemic safeguard activation: concept, difficulties and successes
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Plant Pathol. 107:13–18. , and Ku´c, J. 1991. Oxalate and phosphate induce systemic resistance against diseases caused by fungi, bacteria and viruses. Crop Prot. 10:256–270. , and Borger, H. 1940. Experimentelle untersuchungen uber die Phytophthoraresistance der kartoffel. Arbeiten Biologischen Anst. Reichsanstalt, Berlin 23:189–231. , and Carr, J. 2001. Signal transduction in resistance to plant viruses. Eur. J. Plant Pathol. 107:121–128. , and Staub, T. 2001. Induced resistance in plants by chemicals.
The need to create, replicate and evaluate more homozygous lines results in significant delays in all QTL analyses of quantitative resistance. All sound QTL analyses must be based on clear reproducible quantitative phenotypic data generated from the genetic population segregating for the resistance trait. Breeders need to be aware that many QTL analyses fail to identify true or significant effects simply due to weak or questionable phenotypic data collected on the disease resistance trait. Markerassisted selection must be based on a data set that is uncompromised in quality and reproducibility.
Such factors include: the nature of the pathogen (specialist or generalist), host range (wide or species specific), type and availability of resistance mechanisms present in the host (gene-for-gene vertical resistance, nonspecific avoidance), the level of resistance (complete or partial) needed in the crop, and the difficulty of distinguishing partial resistance in the presence of major resistance genes. van der Plank (1968) defined vertical resistance as race-specific and horizontal resistance as race-nonspecific.