scholarly journals Analysis of multi peril crop insurance loss ratiosAnalysis of multi peril crop insurance loss ratios

2010 ◽  
Vol 51 ◽  
Author(s):  
Lina Žalgirytė ◽  
Gediminas Račkauskas
Keyword(s):  
Pareto Distribution ◽  
Crop Insurance ◽  
Weather Conditions ◽  
Growing Degree Days ◽  
Monthly Precipitation ◽  
Degree Days ◽  
The Relationship

In the first part of this paper, the distribution of loss ratios for five crops was analyzed. The results show that the truncated shifted Pareto distribution can be used for crop insurance loss ratios approximation. In the second part, the relationship between weather conditions and crop insurance loss ratios was tested. Results suggest that this dependency is weak. It shows that crop insurance loss ratios are affected not only by weather conditions – monthly growing degree days and monthly precipitation – but also by other factors.

Relationships among growing degree-days, tenderness, other harvest attributes and market value of processing pea (Pisum sativum L.) cultivars grown in Quebec

2006 ◽  
Vol 86 (2) ◽  
pp. 525-537 ◽  
Author(s):  
Edith Fallon, Nicolas Tremblay ◽  
Yves Desjardins
Keyword(s):  
Moisture Content ◽  
Size Distribution ◽  
Seed Size ◽  
Growing Degree Days ◽  
Harvest Time ◽  
Degree Days ◽  
Fresh Matter ◽  
Yield And Quality ◽  
Grain Moisture ◽  
The Relationship

In Quebec, grower income from processing peas is a function of yield and tenderometer reading. If peas are harvested early, the yield is poor, but the overall quality is superior, as indicated by lower tenderometer readings. Later harvests result in g reater yields but reduced quality (higher tenderometer readings). A better understanding of the relationship between harvest time, yield and quality is needed. In this study, the relationships between yield, tenderometer readings, size distribution and grain moisture content were examined as a function of growing degree-days (GDD) and production year for pea cultivars of different seed size categories. Yield and harvest attributes (tenderometer readings, seed size distribution and moisture content) were highly season dependent and their rates of change over the course of the harvest period also varied with the cultivar and year. Quality declined rapidly once the crop reached optimal maturity, while yield increased in a less predictable manner. Consequently, it was difficult to identify a harvest time that would consistently maximize grower returns. The highest income was generally not obtained at the optimal tenderometer readings presently used by the industry. Key words: Maturity, harvest date, climate, fresh matter yield, tenderometer, pea size

Effect of climate change and use of improved varieties on barley and canola yield in Manitoba

2015 ◽  
Vol 95 (1) ◽  
pp. 127-139 ◽  
Author(s):  
Henry An ◽  
Richard Carew
Keyword(s):  
Climate Change ◽  
Weather Conditions ◽  
Yield Variability ◽  
Growing Degree Days ◽  
Degree Days ◽  
Improved Varieties ◽  
Negative Effect ◽  
Stochastic Production ◽  
Effect On Yield ◽  
Positive Effect

An, H. and Carew, R. 2015. Effect of climate change and use of improved varieties on barley and canola yield in Manitoba. Can. J. Plant Sci. 95: 127–139. A stochastic production function was estimated to investigate the effect of fertilizer inputs, changes in weather conditions and the use of improved varieties on barley and canola yields and its variability in Manitoba. Adoption of improved barley varieties did not have a significant effect on yield, while the adoption of herbicide-tolerant hybrid canola varieties was positively correlated with yield. An increasingly warmer climate in Manitoba is expected to have a slightly negative effect on mean barley yield and yield variance. In contrast, a warmer climate is expected to have a negligible effect on mean canola yield, but a positive effect on yield variability. Our results showed that a projected 50% increase in growing degree days would lead to a decrease of less than 1% in barley and canola yields.

scholarly journals Influence of Spring Weather Conditions on Breeding Bird Densities in GTNP

2011 ◽  
Vol 34 ◽  
pp. 33-38
Author(s):  
Martin Cody
Keyword(s):  
Species Richness ◽  
Weather Conditions ◽  
Growing Degree Days ◽  
Snow Melt ◽  
Degree Days ◽  
Breeding Bird ◽  
Bird Density ◽  
Jackson Hole ◽  
Spring Temperatures

The thaw came very late to Jackson Hole in 2011, with snow melt-out on May 15th. This year shares with 2008 and 2010 the claim of the latest spring over recent decades. The spring snow melt-out is a function of both accumulated snowfall and spring temperatures. A second measure of the advent of spring is the accumulation of growing degree-days (GDD); GDD finally exceeded 225 (°F; 125 °C) on June 23rd, that value being a predictor of 90% leaf-out in aspens. As is usual in late years, overall species richness and total bird density were generally lower across most park habitats. In particular, the foliage insectivores of the deciduous habitats, such as warblers and vireos in willows, aspens and cottonwoods, were much reduced in density (by as much as 50%). Sagebrush habitats, where snow persists longer in late springs and where most species feed on the ground early in the breeding season, were the most impoverished. In two such monitoring sites, #4 (Jackson Lake Junction Grass-sage) and #6 (Airport Sage), there were 1/4 to 1/3 fewer species present respectively, and bird densities were reduced to 43% and 39% of long-term averages for the sites.

Leaf appearance rate of summer rape

1991 ◽  
Vol 71 (2) ◽  
pp. 405-412 ◽  
Author(s):  
M. J. Morrison ◽  
P. B. E. McVetty
Keyword(s):  
Leaf Number ◽  
Growing Degree Days ◽  
Linear Regression Equation ◽  
Degree Days ◽  
Mean Temperature ◽  
Appearance Rate ◽  
Leaf Appearance Rate ◽  
Number Of Leaves ◽  
Leaf Appearance ◽  
The Relationship

Leaf appearance rate (LAR) is defined as the slope of the regression of leaf number on time of appearance. LARs were calculated for summer rape using both calendar days (CD) and growing degree days (GDD) as measurements of time. The relationship between the number of leaves and GDD or CD was linear. LARs after emergence were 0.022 leaves GDD−1 or 0.247 leaves d−1. Summer rape was grown in growth cabinets set at different mean temperatures to study the effect of air temperature on LAR. The relationship between leaf number and time was linear. When CD were used as a measure of time, LAR increased as mean temperature increased, while the reverse was true when GDD were used to measure time. Cabinet and field LARs were compared at a field mean temperature of 16.5 °C. Cabinet LARs were 0.021 leaves GDD−1 or 0.22 leaves CD−1 which were similar to those calculated in the field. The linear regression equation describing the relationship between LAR (leaves GDD−1) and mean cabinet temperature was used with field-measured daily mean temperatures and GDD to predict the number of leaves for field conditions. When observed number of leaves were plotted against predicted number of leaves, the resulting slope was not significantly different from one, indicating that the model developed in the growth cabinet can be used to predict LAR in the field. Key words: Leaf appearance rate, Brassica napus, phyllochron

scholarly journals Relationship between agro-ecological resources of vineyards and the anthocyanins complex in berries

2021 ◽  
Vol 247 ◽  
pp. 01013
Author(s):  
Elena Ostroukhova ◽  
Evgeniy Rybalko ◽  
Svetlana Levchenko ◽  
Vladimir Boyko ◽  
Dmitriy Belash ◽  
...  
Keyword(s):  
Inverse Correlation ◽  
Cabernet Sauvignon ◽  
Growing Degree Days ◽  
Red Wines ◽  
Degree Days ◽  
Natural Region ◽  
Ecological Resources ◽  
Heat And Moisture ◽  
The Relationship ◽  
Western Foothill

This article is aimed at identifying the relationship between the territories agro-ecological conditions and the anthocyanins complex formation of grapes, which determines the quality and biological value of red wines. Using HPLC, the anthocyanins complex of 'Cabernet Sauvignon' cultivar from 6 industrial vineyards, located in three natural regions of Crimea, was studied. The agro-climatic resources of vineyards were assessed using the methods of geoinformation and mathematical modeling. It was detected that according to parameters of heat and moisture supply vineyards discriminated with Wilks L. = 0.007; α<0.00001. The direct correlation (r = 0.88-0.95) was identified between growing degree days above 10 °C, growing degree days above 20 °C, Winkler index, average growing season temperature and the rate of monoglucosides of malvidin and its derivatives in anthocyanins complex of berries; the inverse correlation – between the same agroecological indexes and the rate of cyanidin, petunidin and their derivatives. The similarity (Ed = 2.79-2.98) of anthocyanins complex of grapes from Villino v., Uglovoe v. and Yalta t. located in the western foothill-coastal and south coast regions was discovered. The highest content of anthocyanins was found in grapes from Privetnoe v. (5487 ± 384 mg kg-1), the smallest - from Solnechnaya Dolina v. (2154 ± 129 mg kg-1) located in the same natural region. The results obtained indicate the need for a "point" assessment of the agro-ecological resources for creation of industrial vineyards.

Relationships Among Green Foxtail (Setaria viridis) Seedling Development, Growing Degree Days, and Time of Nicosulfuron Application

1996 ◽  
Vol 10 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Frank Forcella ◽  
Kevin R. Banken
Keyword(s):  
Seedling Growth ◽  
Weed Management ◽  
Corn Yield ◽  
Growing Degree Days ◽  
Yield Losses ◽  
Degree Days ◽  
Predictive Tool ◽  
Application Timing ◽  
Green Foxtail ◽  
The Relationship

Success of postemergence weed management often depends upon application timing and weed seedling size. To develop a predictive tool for estimating green foxtail development and optimizing timing of management operations, seedling growth was monitored in fields for two years, as well as in a single greenhouse experiment, and compared with elapsed thermal time (growing degree days, GDD, base 10 C). The relationship between seedling height (mm) and GDD was similar both years and could be described by the following equation: Height = (-0.27 + 0.033 * GDD)2. A comparable equation described seedling growth in a greenhouse. Leaf number was linearly related to GDD. Green foxtail in corn was controlled with nicosulfuron applied at seven intervals between 100 and 450 GDD after corn planting in 1993 and 1994. In 1993 corn yield losses due to green foxtail interference were least when nicosulfuron was applied 200 to 300 GDD after planting, at which time green foxtail height was 50 to 100 mm. In 1994 corn yield losses were minimized if nicosulfuron was applied any time before 300 GDD.

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