Sweetpotato `Beauregard' Mericlones Vary in Yield, Vine Characteristics, and Storage Root Size and Shape Attributes

Villordon, Arthur; Cannon, James M.; Carroll, H.L.; Franklin, Jean; Clark, Christopher A.; LaBonte, Don

doi:10.21273/hortsci.38.6.1089

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Although differential tolerance may account for some of the inconsistent foliar injury from flumioxazin, further research should be conducted to address this issue. Although 'Beauregard' mericlones were not included in the aforementioned herbicide studies, they have been demonstrated to vary in several measurable parameters, including yield and vine characteristics (Villordon et al 2003).…”

Section: Resultsmentioning

confidence: 99%

Efficacy and Tolerance of Flumioxazin on Sweetpotato (Ipomoea batatas)

Kelly

Shankle

Miller³

2006

Weed technol.

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Experiments were conducted at three locations in Louisiana in 2002 and 2003 to evaluate flumioxazin (36, 72, or 109 g ai/ha) applied pretransplant (PRE) or post-transplant (POST) to sweetpotato. All treatments were applied immediately before or after sweetpotato transplanting to weed-free beds. PRE applications caused 4% or less injury with any rate of flumioxazin at 9 or 18 d after transplanting (DATr) compared with 18 to 20% injury at 9 DATr and 6 to 14% at 18 DATr with 72 or 109 g/ha POST, respectively. Injury from PRE applications of flumioxazin were not different from injury with clomazone (840 g ai/ha) applied POST. Injury at Chase, LA, in 2002 was 8% and less with flumioxazin PRE, but 35 to 83% with flumioxazin POST and appeared to be due to the use of greenhouse-grown cuttings instead of field-grown cuttings, which were used in the other two experiments. There was no interaction between experiments for sweetpotato yield. Plots treated with flumioxazin PRE or 36 g/ha POST yielded greater than sweetpotato treated with clomazone for U.S. No. 1 and 2 grade yield as well as total marketable yield. No differences were observed in yellow nutsedge control with any rate of flumioxazin. At 34 or 50 DATr, flumioxazin controlled yellow nutsedge 73 to 85% with 72 or 109 g/ha applied PRE or POST. Flumioxazin, regardless of application timing or rate, controlled carpetweed and spiny amaranth at least 86%. A similar experiment in Mississippi evaluated tank-mixes of flumioxazin (36, 72, or 109 g/ha) and clomazone (840 g/ha) applied PRE or POST. No sweetpotato injury was observed with flumioxazin PRE. However, injury from flumioxazin POST increased with increased rates (18 to 50% at 18 DATr and 16 to 93% at 25 DATr). Weed control was greater than 80% with all treatments.

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Section: Resultsmentioning

confidence: 99%

Efficacy and Tolerance of Flumioxazin on Sweetpotato (Ipomoea batatas)

Kelly

Shankle

Miller³

2006

Weed technol.

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“…However, the level of molecular variability does not necessarily reflect the degree of phenotypic variability (Villordon & La Bonte 1995). When 12 virus-tested mericlones of the cultivar 'Beauregard' were evaluated in field trials, a comparison of the highest and lowest yielding mericlones showed a 40% difference in total marketable yield (Villordon et al 2003).…”

Section: Resultsmentioning

confidence: 99%

Cultivar decline in sweetpotato (<i>Ipomoea batatas</i>)

Lewthwaite

Fletcher²,

Fletcher³

et al. 2011

NZPP

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The sweetpotato (Ipomoea batatas) crop is propagated vegetatively by field transplanting adventitious sprouts produced on storage roots retained from the previous seasons harvest This system promotes the persistence and accumulation of both viruses and spontaneous mutations A phenomenon known as cultivar decline has been reported internationally where the root yield and appearance of commercially grown sweetpotato cultivars appear to deteriorate over successive growing seasons The relative contributions of virus infection and plant mutation to cultivar decline are uncertain but both issues are addressed through the use of virustested tissue cultured propagation systems This study assessed the degree of decline for cultivars Owairaka Red and Beauregard within the New Zealand biophysical production environment Storage root yield decreased significantly with increasing field exposure for both cultivars (P

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“…Thus, 1383 to 1579 GDD represented 105 to 119 DAT. Past calendar day-based studies indicated that 115 DAT was the preferred number of days to harvest for 'Beauregard' (Villordon et al, 2003).…”

Section: Model Zmentioning

confidence: 99%

Development of a Prototype Bayesian Network Model Representing the Relationship between Fresh Market Yield and Some Agroclimatic Variables Known to Influence Storage Root Initiation in Sweetpotato

Villordon¹,

Solis²,

LaBonte³

et al. 2010

horts

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A prototype phenology-driven Bayesian belief network (BBN) model, named BxNET, was developed to represent the relationship between fresh market yield (U.S. #1 grade) and agroclimatic variables known to influence the critical storage root initiation stages in ‘Beauregard’ sweetpotato. This data-driven model was developed from experimental data collected over 3 years of field trials in which management variables were kept as uniform as possible. The BBN was developed assuming that soil moisture measured at the 15-cm depth was not a limiting variable during the first 20 days after transplanting, during which the onset of storage root initiation determined the majority of storage root yield at harvest. The absence of influence from weeds, disease, insect pests, and chemical injury was also assumed. Accuracy of the fully parameterized working prototype was estimated through leave-one-out cross-validation (14% error rate), validation on an independent test data set (20% error rate), and area under the receiving operator characteristic curve (0.59) analysis. As a result of its empirical nature, BxNET is only applicable to the cultivar, location, and the limited set of environmental (air temperature, soil temperature, relative humidity, solar radiation) and management variables as defined in the 3-year study. This beta-level model can serve as a foundation for the development of a final working model through further testing and validation. Additional validation data may require revision of the current model structure and conditional probabilities. These validation studies will also allow the model to be used in other locations. BxNET can be expanded to include other causal variables such as weed incidence, disease presence, insects, and chemical injury. Such an expansion can lead to the development of a model-based decision support system for sweetpotato production. Such a system can help model alternative management scenarios and determine the most reasonable management interventions to achieve optimum yield outcomes under different agroclimatic conditions.

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Sweetpotato `Beauregard' Mericlones Vary in Yield, Vine Characteristics, and Storage Root Size and Shape Attributes

Cited by 6 publications

References 14 publications

Efficacy and Tolerance of Flumioxazin on Sweetpotato (Ipomoea batatas)

Efficacy and Tolerance of Flumioxazin on Sweetpotato (Ipomoea batatas)

Cultivar decline in sweetpotato (<i>Ipomoea batatas</i>)

Development of a Prototype Bayesian Network Model Representing the Relationship between Fresh Market Yield and Some Agroclimatic Variables Known to Influence Storage Root Initiation in Sweetpotato

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