Effect of Nitrogen Fertilizer, Planting Date, and Harvest Date on Aflatoxin Production in Corn Inoculated withAspergillus flavus

Plant Disease ◽  
1981 ◽  
Vol 65 (9) ◽  
pp. 741 ◽  
Author(s):  
R. K. Jones
Keyword(s):  
Nitrogen Fertilizer ◽  
Aflatoxin Production ◽  
Planting Date ◽  
Harvest Date

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.

Corn Response to Nitrogen Fertilizer as Affected by Planting Date and Hybrid

2010 ◽  
Vol 9 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Robert Mullen ◽  
Peter R. Thomison ◽  
Keith A. Diedrick ◽  
David C. Henry
Keyword(s):  
Nitrogen Fertilizer ◽  
Planting Date

scholarly journals Effect of Sowing Date and Nitrogen Fertilizer on Sorghum (Sorghum bicolor L. var. Speed Feed) Forage Production in a Summer Intercropping System

2015 ◽  
Vol 48 (3) ◽  
pp. 63-72
Author(s):  
S. Joorabi ◽  
N. Akbari ◽  
M. R. Chaichi ◽  
Kh. Azizi
Keyword(s):  
Sorghum Bicolor ◽  
Nitrogen Fertilizer ◽  
Agricultural Research ◽  
Block Design ◽  
Planting Date ◽  
Crude Fiber ◽  
Fertility Treatment ◽  
Research Station ◽  
Fertility Level ◽  
Forage Production

Abstract To evaluate the interaction effects of planting date and different levels of nitrogen fertilizer on sorghum (Sorghum bicolor var. Speed feed) forage production, an experiment was conducted in split plots based on a complete randomized block design in Agricultural Research Station of Khorramabad, Lorestan province, Iran. The experimental treatments comprised of three nitrogen fertilizer levels of control (N0), 100 (N1), and 150 kg per hectare (N2), assigned to main plots and three sowing dates of T1 (June, 10th), T2 (June 26th) and T3 (July 11th) assigned to subplots. Results showed that in sum of two harvests, the yield of hay, forage, leaf and shoot hay weigh in second planting date and N2 and N3 level of fertility was higher than all treatments. In the case of quality treatments the percent of crude protein in first harvest had the most amounts in first and second planting date and N1, N2 and N3 fertility levels. Crude fiber percentage in first harvest of second planting date was highest in N1, N2 and N3 levels of fertility. Treatment interactions had not any significant effect for crude fiber. The most ash percent was observed in first harvest and N1, N2 and N3 fertility level. In second harvest time N2 and N3 fertility levels were superior to the rest. Also, fat percentage in first and second planting date and N1, N2 and N3 increased than the control fertility treatment.

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