Planting Date, Harvest Date, and Irrigation Effects on Infection and Aflatoxin Production byAspergillus flavusin Field Corn

1981 ◽  
Vol 71 (8) ◽  
pp. 810 ◽  
Author(s):  
R. K. Jones
Keyword(s):  
Aflatoxin Production ◽  
Planting Date ◽  
Harvest Date ◽  
Field Corn ◽  
Irrigation Effects

Effect of Planting Date, Variety and Degree of Ear Maturation on the Colonization of Field Corn by Maize Weevils (Coleoptera: Curculionidae)

2002 ◽  
Vol 37 (2) ◽  
pp. 137-142 ◽  
Author(s):  
Steve L. Brown ◽  
R. Dewey Lee
Keyword(s):  
Adult Emergence ◽  
Planting Date ◽  
Sitophilus Zeamais ◽  
Maize Weevil ◽  
Field Corn ◽  
Second Period

A 3-yr study evaluated the effect of planting date, variety and degree of ear maturation on maize weevil, Sitophilus zeamais (Motchulsky), colonization of corn in the field. Within each plot, paper bags were used to prevent oviposition during one of three consecutive 2-wk periods beginning at the 3/4-milk-line stage. Adult emergence from bagged ears was compared to that from unbagged ears. Maize weevil adults emerged from 15.6% of all ears tested. Numbers of adults emerging from infested ears ranged from 1 to 135 with a mean (±SE) of 11.9 ± 18.5. A greater percentage of Mycogen 7559 ears were infested than those of Pioneer 3167 or Pioneer 3146, and the infested Mycogen 7559 ears also supported the emergence of a greater number of adults. A significant planting date effect was found each year of the study, but the nature of that effect was not consistent. A significant planting date-by-year interaction may have been due to weather affecting the date maize weevils were available for colonization, or more likely, to interference from earlier planted corn near our plots that attracted the first overwintering weevils. Oviposition resulting in successful emergence was found to occur during all 3 of the 2 wk exclusion periods with the last period having the greatest impact on the percentage of infested ears and the second period having the greatest impact on the number of emerging weevils per 500 g of kernels.

Planting Date and Irrigation Effects on Seed Quality of Early-Maturing Soybean in the Mid-South USA

2008 ◽  
Vol 9 (3) ◽  
pp. 212-233 ◽  
Author(s):  
S. Bajaj ◽  
P. Chen ◽  
D. E. Longer ◽  
A. Hou ◽  
A. Shi ◽  
...  
Keyword(s):  
Seed Quality ◽  
Planting Date ◽  
Early Maturing ◽  
Irrigation Effects

scholarly journals Texture changes of vegetable cultivars measured by non-destructive methods

2005 ◽  
Vol 11 (2) ◽  
Author(s):  
V. Muha ◽  
S. Istella
Keyword(s):  
Quality Parameters ◽  
Harvest Date ◽  
Growing Period ◽  
Set Up ◽  
Irrigation Effects ◽  
Non Destructive ◽  
Destructive Methods

According to our experiments the tested group of non-destructive methods offers a useful tool not only to follow the texture changes of vegetables during storage but to characterize the firmness and vision parameters during the growing period as well. Advantages of these methods are: they are mobile, easy to set up, easy to use and quick. The suitable maturity state — and so the optimum harvest date also - can be determined by these methods. In addition, these methods can be built into sorting lines making possible to sort and classify great amounts of produces. These methods help the producer to offer homogenous products of controlled quality. They can be used for measuring different effects on vegetable's quality parameters (fertilization by different microelements, different irrigation effects on the product) as well.

scholarly journals Forecasting the Harvest Date and Yield of Sweet Corn by Complex Regression Models

1993 ◽  
Vol 118 (4) ◽  
pp. 450-455 ◽  
Author(s):  
L.W. Lass ◽  
R.H. Callihan ◽  
D.O. Everson
Keyword(s):  
Linear Regression ◽  
Sweet Corn ◽  
Forecast Accuracy ◽  
Planting Date ◽  
Harvest Date ◽  
Coefficient Of Determination ◽  
Growing Degree Days ◽  
Simple Linear Regression ◽  
Degree Days ◽  
Independent Variables

Predicting sweet corn (Zea mays var. rugosa Bonaf.) harvest dates based on simple linear regression has failed to provide planting schedules that result in the uniform delivery of raw product to processing plants. Adjusting for the date that the field was at 80% silk in one model improved the forecast accuracy if year, field location, cultivar, soil albedo, herbicide family used, kernel moisture, and planting date were used as independent variables. Among predictive models, forecasting the Julian harvest date had the highest correlation with independent variables (R2 = 0.943) and the lowest coefficient of variation (cv = 1.31%). In a model predicting growing-degree days between planting date and harvest, R2 (coefficient of determination) = 0.85 and cv = 2.79%. In the model predicting sunlight hours between planting and harvest, R2 = 0.88 and cv = 6.41%. Predicting the Julian harvest date using several independent variables was more accurate than other models using a simple linear regression based on growing-degree days when compared to actual harvest time.

scholarly journals A Heat Unit Accumulation Method for Predicting Cucumber Harvest Date

1996 ◽  
Vol 6 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Katharine B. Perry ◽  
Todd C. Wehner
Keyword(s):  
North Carolina ◽  
Production Systems ◽  
Planting Date ◽  
Harvest Date ◽  
Daily Maximum ◽  
Base Temperature ◽  
Harvest Dates ◽  
The Difference ◽  
Maximum Temperatures ◽  
Accumulation Method

The use of a previously developed model for predicting harvest date in cucumber production systems is described. In previous research we developed a new method using daily maximum temperatures in heat units to predict cucumber harvest dates. This method sums, from planting to harvest, the daily maximum minus a base temperature of 60F (15.5 C), but if the maximum is >90F (32C) it is replaced by 90F minus the difference between the maximum and 90F. This method was more accurate than counting days to harvest in predicting cucumber harvest in North Carolina, even when harvest was predicted using 5 years of experience for a particular location and planting date.

scholarly journals Effect of Planting Date and Cultivar Maturity in Edamame Quality and Harvest Window

2021 ◽  
Vol 11 ◽  
Author(s):  
David Moseley ◽  
Marcos Paulo da Silva ◽  
Leandro Mozzoni ◽  
Moldir Orazaly ◽  
Liliana Florez-Palacios ◽  
...  
Keyword(s):  
The United States ◽  
Planting Date ◽  
Harvest Date ◽  
Timely Manner ◽  
Phenological Stages ◽  
Planting Dates ◽  
Harvest Dates ◽  
Key Factor ◽  
Harvest Strategy ◽  
The Impact

Edamame is a food-grade soybean [Glycine max (L.) Merr.] that is harvested immature between the R6 and R7 reproductive stages. To be labeled as a premium product, the edamame market demands large pod size and intense green color. A staggered harvest season is critical for the commercial industry to post-harvest process the crop in a timely manner. Currently, there is little information to assist in predicting the optimum time to harvest edamame when the pods are at their collective largest size and greenest color. The objectives of this study were to assess the impact of cultivar, planting date, and harvest date on edamame color, pod weight, and a newly minted Edamame Harvest Quality Index combining both aforementioned factors. And to predict edamame harvest quality based on phenological stages, thermal units, and planting dates. We observed that pod color and weight depended on the cultivar, planting date, and harvest date combination. Our results also indicated that edamame quality is increased with delayed planting dates and that quality was dependent on harvest date with a quadratic negative response to delaying harvest. Maximum quality depended on cultivar and planting and harvest dates, but it remained stable for an interval of 18–27 days around the peak. Finally, we observed that the number of days between R1 and harvest was consistently identified as a key factor driving edamame quality by both stepwise regression and neural network analysis. These research results will help define a planting and harvest strategy for edamame production in Arkansas and the United States Mid-South.

Production of aflatoxin by Aspergillus wentii Wehmer

1969 ◽  
Vol 15 (8) ◽  
pp. 895-898 ◽  
Author(s):  
H. W. Schroeder ◽  
M. Jacqueline Verrett
Keyword(s):  
Chick Embryo ◽  
Aflatoxin Production ◽  
Single Spore ◽  
Two Cultures ◽  
Additional Requirement ◽  
Field Corn ◽  
Parent Culture ◽  
Aspergillus Wentii ◽  
Aflatoxin B

Two cultures of Aspergillus wentii isolated from white field corn were tested through three consecutive single-spore generations for the ability to produce aflatoxins. Aflatoxin production by A. wentii was established. Production was low and variable. The variability was apparently not due to inhomogeneity in the parent culture. The identity of aflatoxin B1 was confirmed by chemical derivative tests and by the chick embryo bioassay. The ability to accumulate, as well as to produce, the aflatoxins is suggested as an additional requirement to qualify a fungus as an aflatoxin producer.

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