CONTROL OF LATE YELLOW RUST [Pucciniastrum americanum (Farl.) Arth.] OF RED RASPBERRY

1988 ◽  
Vol 68 (4) ◽  
pp. 1185-1189 ◽  
Author(s):  
MARGIE LUFFMAN ◽  
DEBORAH BUSZARD
Keyword(s):  
Disease Control ◽  
Picea Glauca ◽  
Fruit Set ◽  
Yellow Rust ◽  
Rubus Idaeus ◽  
Red Raspberry ◽  
Alternate Host ◽  
Negative Effect ◽  
Improve Disease Control ◽  
Best Disease

Late yellow rust [Pucciniastrum americanum (Farl.) Arth.] has recently become a serious problem in Rubus idaeus L. (red raspberry) plantings of the Atlantic provinces of Canada. The alternate host is Picea glauca (Moench) Voss. (white spruce). A program to determine the optimum schedule of fungicide applications for rust control based on the life cycle of the pathogen was established. Anilazine applications at the time of aeciospore release reduced leaf and fruit infections. Later applications at flowering time had a deleterious effect on fruit set and yield. Sulphur used late in the season did not improve disease control and had a negative effect on fruit yield. A program of three anilazine applications early in the season, terminating before flowering gave the best disease control.Key words: Pucciniastrum americanum (Farl.) Arth., Rubus idaeus L., disease control, anilazine

Pucciniastrum americanum. [Descriptions of Fungi and Bacteria].

1969 ◽  
Author(s):  
G. F. Laundon
Keyword(s):  
New York ◽  
British Columbia ◽  
Life Cycle ◽  
Nova Scotia ◽  
Leaf Rust ◽  
Geographical Distribution ◽  
Picea Glauca ◽  
Yellow Rust ◽  
White Spruce ◽  
Rubus Idaeus

Abstract A description is provided for Pucciniastrum americanum. Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. HOSTS: Pycnia and aecia on Picea glauca (=P. canadensis), uredia and telia on Rubus idaeus (incl. R. strigosus) and R. leucodermis (raspberries). DISEASE: Needle rust of white spruce. Late leaf rust or late yellow rust of raspberry, infecting canes, leaves, petioles, calyces and fruits. GEOGRAPHICAL DISTRIBUTION: Canada and U.S.A. (widely distributed, recorded from British Columbia, Connecticut, Idaho, Illinois, Iowa, Mass., Md, Me, Montana, North Dakota, New Hamp., New Jersey, Nova Scotia, New York, Ohio, Ontario, Quebec, Vermont, Wisconsin, West Virginia). TRANSMISSION: Although the basidiospores infect Picea glauca (white spruce) (Darker, 1929) in some areas they probably play little part in the life cycle on raspberry since this rust is found on the latter host year after year in regions remote from any spruce trees (Anderson, 1956).

Environmental resource interactions affect red raspberry growth and its competition with white spruce

1999 ◽  
Vol 29 (7) ◽  
pp. 906-916 ◽  
Author(s):  
R A Lautenschlager
Keyword(s):  
Biomass Production ◽  
Picea Glauca ◽  
White Spruce ◽  
Nitrogen Addition ◽  
Light Level ◽  
Rubus Idaeus ◽  
Interactive Effects ◽  
Red Raspberry ◽  
Resource Interactions ◽  
Low Nitrogen

Multifactor experiments were used to study the effects of (1) shade, moisture, and nutrients on above- and below-ground biomass production of red raspberry (Rubus idaeus L.) and (2) intra- versus inter-specific competition for light, nitrogen, and space in interplantings of raspberry and white spruce (Picea glauca (Moench) Voss) seedlings. Interactive effects among the manipulated resources on seedling growth were common. Raspberry biomass increased with increasing moisture and nutrients or with added nitrogen when nitrogen was the only nutrient manipulated. Seventy-three percent shade reduced raspberry biomass production, while production under full sun and 30% shade was similar. Raspberry shoot/root ratio increased with increasing nutrients and shade but decreased with age. In mixed plantings with spruce, when nitrogen was added, raspberry biomass and shoot/root ratio increased at the expense of spruce, while the shoot/root ratio decreased with shade in low-nitrogen plots. Spruce height growth was not affected by light level, nitrogen addition, or competition type; however, spruce diameter and biomass production decreased with competition from both raspberry and spruce and increased with increasing growing space and in low-nitrogen shaded plots where raspberry was less common.

scholarly journals Functional Markers for Red Raspberry

2010 ◽  
Vol 135 (5) ◽  
pp. 418-427 ◽  
Author(s):  
Mary Woodhead ◽  
Ailsa Weir ◽  
Kay Smith ◽  
Susan McCallum ◽  
Katrin MacKenzie ◽  
...  
Keyword(s):  
Mapping Population ◽  
Yellow Rust ◽  
Artificial Chromosome ◽  
Fruit Color ◽  
Rubus Idaeus ◽  
Polyamine Metabolism ◽  
Functional Markers ◽  
Red Raspberry ◽  
Future Studies ◽  
Genomic Regions

Primers to 43 genes, including those involved in the phenylpropanoid and volatile pathways, cell wall, ethylene and polyamine metabolism, and from Prunus linkage group (LG) 6 were tested in red raspberry (Rubus idaeus) cultivars Latham and Glen Moy, and 40 were polymorphic. Thirty-seven genes were subsequently mapped in the ‘Latham’ × ‘Glen Moy’ population and were placed across all seven Rubus LG. This brings to 97 the total number of genic markers mapped in this Rubus mapping population. Fifteen genes are associated with existing quantitative trait loci for ripening, cane diseases, including yellow rust (Phragmidium rubi-idaei), cane botrytis (Botrytis cinerea), spur blight (Didymella applanata), and cane spot (Elsinoe veneta) or fruit color in R. idaeus and can be used for identifying bacterial artificial chromosome clones for physical mapping studies. A cluster of four genes from Prunus LG6 mapped together to Rubus LG3, suggesting that there may be sufficient synteny between these Rosaceae over small genomic regions that can be exploited in future studies.

scholarly journals A note on the susceptibility of six red raspberry cultivars and Tayberry to fruit infection by late yellow rust

2005 ◽  
Vol 71 (2) ◽  
pp. 93-95 ◽  
Author(s):  
M. Luffman ◽  
D. Buszard
Keyword(s):  
Partial Resistance ◽  
Yellow Rust ◽  
Rubus Idaeus ◽  
The Other ◽  
Red Raspberry ◽  
Rust Infection

Fruit clusters of six red raspberry (Rubus idaeus) cultivars and Tayberry were inoculated in vivo using aeciospores and urediniospores of Pucciniastrum americanum. The response was similar for both inocula. Two raspberry cultivars, Nova and Royalty, and Tayberry were apparently resistant to late yellow rust infection on fruits while the other raspberry cultivars exhibited differing degrees of susceptibility to late yellow rust. The cultivar Boyne exhibited some partial resistance.

Impact of an Open Trellis on Canopy Growth, Light Interception, Yield, and Leaf Physiology of Red Raspberry (Rubus idaeus)

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 468b-468
Author(s):  
Stephen F. Klauer ◽  
J. Scott Cameron ◽  
Chuhe Chen
Keyword(s):  
Leaf Area ◽  
Total Nitrogen ◽  
Dry Weight ◽  
Light Interception ◽  
Rubus Idaeus ◽  
Above Ground Biomass ◽  
Red Raspberry ◽  
Leaf Physiology ◽  
Total Dry Weight ◽  
Upper Third

After promising results were obtained with an open-style split trellis (two top wires) in its initial year, two new trials were established in 1997 in northwest (Lynden) and southwest (Woodland) Washington. For the split trellis, actual yields were 33% (machine-picked 1/2 season) and 17% (hand-picked) greater, respectively, for the two locations compared to the conventional trellis (one top wire). In Woodland, canes from the split trellis had 33% more berries, 55% more laterals, 69% more leaves, and 25% greater leaf area compared with the conventional trellis. Greatest enhancement of these components was in the upper third of the canopy. Laterals were also shorter in this area of the split canopy, but there was no difference in average total length of lateral/cane between trellis types. Total dry weight/cane was 22% greater in the split trellis, but component partitioning/cane was consistent between the two systems with fruit + laterals (43%) having the greatest above-ground biomass, followed by the stem (30% to 33%) and the leaves (21% to 22%). Measurement of canopy width, circumference, and light interception showed that the split-trellis canopy filled in more quickly, and was larger from preanthesis through postharvest. Light interception near the top of the split canopy was 30% greater 1 month before harvest with 98% interception near the top and middle of that canopy. There was no difference between the trellis types in leaf CO2 assimilation, spectra, or fluorescence through the fruiting season, or in total nitrogen of postharvest primocane leaves.

scholarly journals Genome-Wide Association Study (GWAS) for Examining the Genomics Controlling Prickle Production in Red Raspberry (Rubus idaeus L.)

Agronomy ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 27
Author(s):  
Archana Khadgi ◽  
Courtney A. Weber
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genomic Region ◽  
Rubus Idaeus ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Red Raspberry ◽  
Genome Wide ◽  
A Genome ◽  
Genotype By Sequencing

Red raspberry (Rubus idaeus L.) is an expanding high-value berry crop worldwide. The presence of prickles, outgrowths of epidermal tissues lacking vasculature, on the canes, petioles, and undersides of leaves complicates both field management and harvest. The utilization of cultivars with fewer prickles or prickle-free canes simplifies production. A previously generated population segregating for prickles utilizing the s locus between the prickle-free cultivar Joan J (ss) and the prickled cultivar Caroline (Ss) was analyzed to identify the genomic region associated with prickle development in red raspberry. Genotype by sequencing (GBS) was combined with a genome-wide association study (GWAS) using fixed and random model circulating probability unification (FarmCPU) to analyze 8474 single nucleotide polymorphisms (SNPs) and identify significant markers associated with the prickle-free trait. A total of four SNPs were identified on chromosome 4 that were associated with the phenotype and were located near or in annotated genes. This study demonstrates how association genetics can be used to decipher the genetic control of important horticultural traits in Rubus, and provides valuable information about the genomic region and potential genes underlying the prickle-free trait.

scholarly journals Combining QTL Mapping and Gene Expression Analysis to Elucidate the Genetic Control of ‘Crumbly’ Fruit in Red Raspberry (Rubus idaeus L.)

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 794
Author(s):  
Luca M. Scolari ◽  
Robert D. Hancock ◽  
Pete E. Hedley ◽  
Jenny Morris ◽  
Kay Smith ◽  
...  
Keyword(s):  
Genetic Control ◽  
Developmental Disorder ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Microarray Experiment ◽  
Rubus Idaeus ◽  
Red Raspberry ◽  
Genotype By Sequencing ◽  
First Time ◽  
Selection Of

‘Crumbly’ fruit is a developmental disorder in raspberry that results in malformed and unsaleable fruits. For the first time, we define two distinct crumbly phenotypes as part of this work. A consistent crumbly fruit phenotype affecting the majority of fruits every season, which we refer to as crumbly fruit disorder (CFD) and a second phenotype where symptoms vary across seasons as malformed fruit disorder (MFD). Here, segregation of crumbly fruit of the MFD phenotype was examined in a full-sib family and three QTL (Quantitative Trait Loci) were identified on a high density GbS (Genotype by Sequencing) linkage map. This included a new QTL and more accurate location of two previously identified QTLs. A microarray experiment using normal and crumbly fruit at three different developmental stages identified several genes that were differentially expressed between the crumbly and non-crumbly phenotypes within the three QTL. Analysis of gene function highlighted the importance of processes that compromise ovule fertilization as triggers of crumbly fruit. These candidate genes provided insights regarding the molecular mechanisms involved in the genetic control of crumbly fruit in red raspberry. This study will contribute to new breeding strategies and diagnostics through the selection of molecular markers associated with the crumbly trait.

WHITE SPRUCE AND THE SPRUCE BUDWORM: DEFINING THE PHENOLOGICAL WINDOW OF SUSCEPTIBILITY

1997 ◽  
Vol 129 (2) ◽  
pp. 291-318 ◽  
Author(s):  
Robert K. Lawrence ◽  
William J. Mattson ◽  
Robert A. Haack
Keyword(s):  
Picea Glauca ◽  
High Performance ◽  
Choristoneura Fumiferana ◽  
Spruce Budworm ◽  
White Spruce ◽  
Shoot Elongation ◽  
Larval Survival ◽  
Strongly Correlated ◽  
Negative Effect ◽  
Foliar Traits

AbstractSynchrony of insect and host tree phenologies has often been suggested as an important factor influencing the susceptibility of white spruce, Picea glauca (Moench) Voss, and other hosts to the spruce budworm, Choristoneura fumiferana (Clemens) (Lepidoptera: Tortricidae). We evaluated this hypothesis by caging several cohorts of spruce budworm larvae on three white spruce populations at different phenological stages of the host trees, and then comparing budworm performance with host phenology and variation of 13 foliar traits. The beginning of the phenological window of susceptibility in white spruce occurs several weeks prior to budbreak, and the end of the window is sharply defined by the end of shoot growth. Performance was high for the earliest budworm cohorts that we tested. These larvae began feeding 3–4 weeks prior to budbreak and completed their larval development prior to the end of shoot elongation. Optimal synchrony occurred when emergence preceded budbreak by about 2 weeks. Larval survival was greater than 60% for individuals starting development 1–3 weeks prior to budbreak, but decreased to less than 10% for those starting development 2 or more weeks after budbreak and thus completing development after shoot elongation ceased. High performance by the budworm was most strongly correlated with high levels of foliar nitrogen, phosphorous, potassium, copper, sugars, and water and low levels of foliar calcium, phenolics, and toughness. These results suggest that advancing the usual phenological window of white spruce (i.e. advancing budbreak prior to larval emergence) or retarding budworm phenology can have a large negative effect on the spruce budworm’s population dynamics.

scholarly journals Effect of the interaction between fungicide application time and rainfall simulation interval on Asian Soybean Rust control effectiveness

2016 ◽  
Vol 37 (6) ◽  
pp. 3881 ◽  
Author(s):  
Marlon Tagliapietra Stefanello ◽  
Ricardo Silveiro Balardin ◽  
Simone Gripa Minuzzi ◽  
Diego Dalla Favera ◽  
Leandro Nascimento Marques ◽  
...  
Keyword(s):  
Disease Control ◽  
Block Design ◽  
Residual Activity ◽  
Rainfall Simulation ◽  
Soybean Rust ◽  
Fungicide Application ◽  
Control Effectiveness ◽  
Asian Soybean Rust ◽  
Randomized Block Design ◽  
Negative Effect

Environmental factors affect the performance of fungicides in soybean (Glycine max (L.) Merr.). They also influence the residual activity of the products applied to the leaves. The objective of this study was to assess the control effectiveness of the interaction between fungicide application and rainfall simulation on Asian Soybean Rust (ASR). Two experiments were conducted, one in the greenhouse, in a completely randomized design, and the other in the field, in a randomized block design. Both the experiments had the same factorial arrangement of 6x5, with four replications. Factor A: Five fungicide applications time at 0400 h, 0900 h, 1400 h, 1800 h, 2300 h and, a control with no application; Factor B: four intervals of time between the application of fungicide and rainfall simulation at 0, 30, 60 and 120 min for the experiment in the greenhouse and at 2, 30, 60, 120 min for the experiment in the field. A control was included for both the experiments with no rainfall. The number of days to the appearance of the first pustules was determined, along with severity of ASR, relative chlorophyll index and productivity. It was found that the ASR control effectiveness of fungicide applications in soybean plants in sunlight was less efficient with rainfall simulation. The rainfall simulation had greater negative effect on disease control effectiveness in applications conducted at night under dew conditions. The application conducted at 0900 h showed the greatest disease control effectiveness in both greenhouse and in the field conditions. The 1400 h application showed decreased fungicide control residual and ASR control effectiveness, possibly due to a combination of the low relative humidity and high temperature. Rainfall simulation carried out at 120 min after application still had the ability to affect the ASR control effectiveness.

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