Abstract:White mould caused by the fungus Sclerotinia sclerotiorum (Lib.) de Bary is a major constraint to irrigated dry bean production in southern Alberta. Irrigation, coupled with dry bean canopy architecture, may influence white mould by creating conducive environmental conditions. Field experiments were conducted from 2015 to 2017 at Lethbridge to determine the effect of three irrigation levels and five dry bean genotypes with different canopy architectures on white mould. Sensors and data loggers were established… Show more
“… 1, Kurle et al (2001); 2, Holley and Nelson (1986); 3, Schwartz and Steadman (1978); 4, Fall, Willbur, et al (2018); 5, McCartney and Lacey (1991); 6, Willbur, Fall, Bloomingdale, et al (2018); 7, Jones et al (2012); 8, Bom and Boland (2000); 9, Boland and Hall (1988b); 10, Boland and Hall (1988c); 11, Gugel and Morrall (1986); 12, Gracia‐Garza et al (2002); 13, Morrall and Dueck (1982); 14, Qandah and del Río Mendoza (2012); 15, Reich et al (2017); 16, Kader et al (2018); 17, Turkington & Morrall (1993); 18, Makowski et al (2005); 19, Ficke et al (2018); 20, Wallenhammer et al (2007). …”
Section: Resultsmentioning
confidence: 99%
“… 1, Fall, Willbur, et al (2018); 2, Willbur, Fall, Bloomingdale, et al (2018); 3, Reich, unpublished; 4, Leyronas et al (2019); 5, Jones et al (2012); 6, Mila et al (2003); 7, Fall, Boyse, et al (2018); 8, Foster et al (2011); 9, Qandah and del Río Mendoza (2011); 10, Bourdôt et al (2001); 11, Mila et al (2004); 12, Workneh and Yang (2000); 13, Reich et al (2017); 14, Matheron and Porchas (2005); 15. Shah et al (2019); 16, Bom and Boland (2000); 17, Ferraz et al (1999); 18, Twengström, Sigvald, et al (1998); 19, Twengström, Köpmans, et al (1998); 20, Grau and Radke (1984); 21, Blad et al (1978); 22, Kader et al (2018); 23, Schwartz and Steadman (1978); 24, Ficke et al (2018). …”
Section: Resultsmentioning
confidence: 99%
“…Total amount of precipitation (or irrigation) throughout the growing season was positively associated with greater final disease levels in dry bean (Blad et al, 1978; Kader et al, 2018), canola (Ficke et al, 2018; Twengström, Köpmans, et al, 1998) and soybean (Fall, Boyse, et al, 2018; Grau & Radke, 1984; Mila et al, 2004). In contrast, in studies that summarized precipitation in weekly to 3‐week intervals or by departures from average, there was no relationship between precipitation and disease incidence (Bom & Boland, 2000; Ficke et al, 2018; Foster et al, 2011; Workneh & Yang, 2000).…”
Section: Resultsmentioning
confidence: 99%
“…Few studies assessed the relationship between cultivar and apothecia or ascospore production, but in bean, viny or short bush cultivars were associated with greater apothecia production than open-bush cultivars (Schwartz & Steadman, 1978). Almost every study that compared several cultivars found large differences among cultivars for both levels of disease and yields (Blad et al, 1978;del Río et al, 2004del Río et al, , 2007Grau & Radke, 1984;Hoffman et al, 1998;Jones et al, 2012;Kader et al, 2018;Kolkman & Kelly, 2002;Kurle et al, 2001;Park, 1993;Saindon et al, 1995). It is not always clear what physical or physiological features of the cultivars lead to differences in disease outcomes.…”
Predicting diseases caused by Sclerotinia sclerotiorum in field crops remains difficult, and published literature is largely inconsistent in finding significant relationships with environmental and agronomic factors for various life stages of the fungus. A scoping review was performed to synthesize the current quantitative insights into the role of the environment on the life cycle of S. sclerotiorum and the relationships between various life stages of the fungus and final disease expression under field conditions. For most variables, relationships with stages of the life cycle showed a wide range of responses ranging from closely related (high correlations or r2 values) to not related at all. The effects were often moderated by year, location and/or the presence of another variable such as irrigation, soil type, row spacing or cultivar. Studies that based analysis on a more nuanced understanding of pathogen biology rather than looking only at linear relationships tended to find stronger associations between variables. Yield was consistently negatively associated with disease levels, but cultivar, year, location and planting density were all important determinants of yield. Suggestions for improvement to future research in predictive model development of S. sclerotiorum diseases are discussed.
“… 1, Kurle et al (2001); 2, Holley and Nelson (1986); 3, Schwartz and Steadman (1978); 4, Fall, Willbur, et al (2018); 5, McCartney and Lacey (1991); 6, Willbur, Fall, Bloomingdale, et al (2018); 7, Jones et al (2012); 8, Bom and Boland (2000); 9, Boland and Hall (1988b); 10, Boland and Hall (1988c); 11, Gugel and Morrall (1986); 12, Gracia‐Garza et al (2002); 13, Morrall and Dueck (1982); 14, Qandah and del Río Mendoza (2012); 15, Reich et al (2017); 16, Kader et al (2018); 17, Turkington & Morrall (1993); 18, Makowski et al (2005); 19, Ficke et al (2018); 20, Wallenhammer et al (2007). …”
Section: Resultsmentioning
confidence: 99%
“… 1, Fall, Willbur, et al (2018); 2, Willbur, Fall, Bloomingdale, et al (2018); 3, Reich, unpublished; 4, Leyronas et al (2019); 5, Jones et al (2012); 6, Mila et al (2003); 7, Fall, Boyse, et al (2018); 8, Foster et al (2011); 9, Qandah and del Río Mendoza (2011); 10, Bourdôt et al (2001); 11, Mila et al (2004); 12, Workneh and Yang (2000); 13, Reich et al (2017); 14, Matheron and Porchas (2005); 15. Shah et al (2019); 16, Bom and Boland (2000); 17, Ferraz et al (1999); 18, Twengström, Sigvald, et al (1998); 19, Twengström, Köpmans, et al (1998); 20, Grau and Radke (1984); 21, Blad et al (1978); 22, Kader et al (2018); 23, Schwartz and Steadman (1978); 24, Ficke et al (2018). …”
Section: Resultsmentioning
confidence: 99%
“…Total amount of precipitation (or irrigation) throughout the growing season was positively associated with greater final disease levels in dry bean (Blad et al, 1978; Kader et al, 2018), canola (Ficke et al, 2018; Twengström, Köpmans, et al, 1998) and soybean (Fall, Boyse, et al, 2018; Grau & Radke, 1984; Mila et al, 2004). In contrast, in studies that summarized precipitation in weekly to 3‐week intervals or by departures from average, there was no relationship between precipitation and disease incidence (Bom & Boland, 2000; Ficke et al, 2018; Foster et al, 2011; Workneh & Yang, 2000).…”
Section: Resultsmentioning
confidence: 99%
“…Few studies assessed the relationship between cultivar and apothecia or ascospore production, but in bean, viny or short bush cultivars were associated with greater apothecia production than open-bush cultivars (Schwartz & Steadman, 1978). Almost every study that compared several cultivars found large differences among cultivars for both levels of disease and yields (Blad et al, 1978;del Río et al, 2004del Río et al, , 2007Grau & Radke, 1984;Hoffman et al, 1998;Jones et al, 2012;Kader et al, 2018;Kolkman & Kelly, 2002;Kurle et al, 2001;Park, 1993;Saindon et al, 1995). It is not always clear what physical or physiological features of the cultivars lead to differences in disease outcomes.…”
Predicting diseases caused by Sclerotinia sclerotiorum in field crops remains difficult, and published literature is largely inconsistent in finding significant relationships with environmental and agronomic factors for various life stages of the fungus. A scoping review was performed to synthesize the current quantitative insights into the role of the environment on the life cycle of S. sclerotiorum and the relationships between various life stages of the fungus and final disease expression under field conditions. For most variables, relationships with stages of the life cycle showed a wide range of responses ranging from closely related (high correlations or r2 values) to not related at all. The effects were often moderated by year, location and/or the presence of another variable such as irrigation, soil type, row spacing or cultivar. Studies that based analysis on a more nuanced understanding of pathogen biology rather than looking only at linear relationships tended to find stronger associations between variables. Yield was consistently negatively associated with disease levels, but cultivar, year, location and planting density were all important determinants of yield. Suggestions for improvement to future research in predictive model development of S. sclerotiorum diseases are discussed.
“…This is because upright plants facilitate operations in the field, both in the vegetative phase and at harvest. Additionally, there is evidence that this type of plant mitigates damage caused by some important pathogens in common bean crops (Miklas, Porter, Kelly, & Myers, 2013;Pereira, Abreu, Vieira Junior, Pires, & Ramalho, 2017;Kader, Balasubramanian, & Chatterton, 2018). Bean breeding programs conducted in Brazil have had substantial success in obtaining new cultivars with good plant architecture (Ramalho et al, 2016;Pereira et al, 2017;Wendland et al, 2018).…”
In Brazil, there is an increasing demand for common bean (Phaseolus vulgaris L.) cultivars having Carioca-type (cream-colored seed coat with brown stripes) beans which have a light color that persists for a longer time combined with the most possible upright plant architecture. However, plant breeders are finding it difficult to combine these two traits in the same cultivar. The aim of this study was to compare success in the selection of new common bean lines that combine the two traits in segregating populations with 25%, 50%, or 75% of the alleles from the parents contrasting in upright plant architecture or in bean grains with persistent light color. A biparental cross was performed between a parent with light-colored beans (P1) and another with upright plants (P2). Three populations were obtained from the F1 seeds, with allelic frequencies of 75%, 50%, and 25% of P1. Subsequently, progenies were evaluated in a similar number in each population in the F2:3, F2:4, F2:5, and F2:6 generations. The plant architecture (PA) and grain darkening (GD) traits were visually evaluated using a scoring scale. Genetic and phenotypic parameters were estimated for all generations. There was no expressive advantage in using populations with a greater allele proportion of the parent favorable to upright plant architecture or slow grain darkening either in releasing of variability or in the occurrence of progenies with favorable phenotypes for the two traits.
There is a lack of nitrogen response research on dark red kidney beans (Phaseolus vulgaris L.). This is of particular importance as most cultivars form nodules and are commonly grown on sandy soil. The objectives of this study were to determine the effects of nitrogen rates and irrigation amounts on leaf area index, white mold occurrence, yield, and N uptake of dark red kidney beans. The study occurred at the University of Wisconsin Hancock Agricultural Research Station over two growing seasons (2020 and 2021), across four N rates, three irrigation levels, and five cultivars. Preceding crop for each study year was potato and field corn, respectively. More heavy rainfall events that may lead to leaching were observed in 2021. Neither irrigation effect nor general cultivar difference was observed on bean yield, disease resistance, and nitrogen use across the 2 years. Bean yield was significantly influenced by N rates across the five cultivars in 2020 but not in 2021, with 56 kg ha −1 more total N uptake at the lowest N rate in 2021. This highlights large site-year influences on N supply from fixation. Furthermore, although greater N application did lead to greater yield in 1 year, it was also associated with greater white mold disease pressure and lower partial factor productivity (PFP). Thus, there is economic risk in N application to dark red kidney beans on irrigated sandy soil from reduced quality (mold damage) and lower N use efficiency (indicated by lower PFP), although site-year effects remain unknown.
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