Effect of heat and precipitation on pea yield and reproductive performance in the field

2015 ◽  
Vol 95 (4) ◽  
pp. 629-639 ◽  
Author(s):  
Rosalind A. Bueckert ◽  
Stacey Wagenhoffer ◽  
Garry Hnatowich ◽  
Thomas D. Warkentin
Keyword(s):  
Reproductive Performance ◽  
Crop Growth ◽  
Daily Temperature ◽  
Growth And Yield ◽  
Maximum Temperature ◽  
Future Research ◽  
Yield Reduction ◽  
Weather Factors ◽  
Reproductive Growth ◽  
Maximum Daily Temperature

Bueckert, R. A., Wagenhoffer, S., Hnatowich, G. and Warkentin, T. D. 2015. Effect of heat and precipitation on pea yield and reproductive performance in the field. Can. J. Plant Sci. 95: 629–639. Pea (Pisum sativum L.) is important globally as a cool season crop. Pea cultivars are heat-sensitive so our goal was to investigate how weather impacted growth and yield in recent cultivars in the Co-operative pea yield trials (2000 to 2009) for a dryland (Saskatoon) and an irrigated (Outlook) location. We explored relationships between days to maturity, days spent in reproductive growth (flowering to maturity), yield and various weather factors. Yield and the length of reproductive growth increased with seasonal precipitation. Pea was sensitive to heat but heat units did not satisfactorily describe growth and yield in all environments. Strong relationships were observed between crop growth and mean maximum daily temperature experienced during reproductive growth, and between crop growth and mean minimum temperature. The greater the mean maximum temperature (>25.5°C), the fewer the number of days (<35) spent in reproductive growth at the dryland location. At Outlook, 35 to 40 d in reproductive growth occurred in a much wider temperature range from 24.5 to 27°C, and irrigation mitigated some reduction in yield. For dryland pea, more than 20 d in the season above 28°C were associated with less time in reproductive growth and less yield. The threshold maximum temperature for yield reduction in the field was closer to 28°C than 32°C from published studies, and above 17.5°C mean seasonal daily temperature. Western Canadian cultivars currently have short lifecycles, which make them heat sensitive. Heat tolerance could be improved by earlier flowering and a longer duration of flowering via an indeterminate habit. Future research will investigate pea nodal development, flowering and abortion patterns in a range of pea cultivars in field conditions.

scholarly journals Modelling water-harvesting systems in the arid south of Tunisia using SWAT

2008 ◽  
Vol 5 (4) ◽  
pp. 1863-1902 ◽  
Author(s):  
M. Ouessar ◽  
A. Bruggeman ◽  
F. Abdelli ◽  
R. H. Mohtar ◽  
D. Gabriels ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Crop Growth ◽  
Growth And Yield ◽  
Coefficient Of Determination ◽  
Future Research ◽  
Water Harvesting ◽  
Arid Environments ◽  
Watershed Model ◽  
Runoff Water ◽  
Harvesting Systems

Abstract. In many arid countries, runoff water-harvesting systems support the livelihood of the rural population. Little is known, however, about the effect of these systems on the water balance components of arid watersheds. The objective of this study was to adapt and evaluate the GIS-based watershed model SWAT (Soil Water Assessment Tool) for simulating the main hydrologic processes in arid environments. The model was applied to the 270-km2 watershed of wadi Koutine in southeast Tunisia, which receives about 200 mm annual rain. The main adjustment for adapting the model to this dry Mediterranean environment was the inclusion of water-harvesting techniques and a modification of the crop growth processes. The adjusted version of the model was named SWAT-WH. Model evaluation was performed based on 38 runoff events recorded at the Koutine station between 1973 and 1985. The model predicted that the average annual watershed rainfall of the 12-year evaluation period (209 mm) was split into ET (72%), groundwater recharge (22%) and outflow (6%). The evaluation coefficients for calibration and validation were, respectively, R2 (coefficient of determination) 0.77 and 0.76; E (Nash-Sutcliffe coefficient) 0.73 and 0.43; and MAE (Mean Absolute Error) 2.6 mm and 3.0 mm, indicating that the model could reproduce the observed events reasonably well. Discrepancies remained mainly due to uncertainties in the observed rainfall and runoff data. Recommendations for future research include the installation of additional rainfall and runoff gauges with continuous data logging and the collection of more field data to refine the input parameters (soil and land use). In addition, crop growth and yield monitoring is needed for a proper evaluation of the crop growth submodel, to allow the economic assessment of the different water uses in the watershed.

COMPETITIVENESS OF HORSE PURSLANE (Trianthema portulacastrum L.) WITH GROWTH AND YIELD OF COTTON (Gossypium hirsutum L.)

2020 ◽  
Vol 27 (2) ◽  
pp. 313-330
Author(s):  
Abdul Ghaffar
Keyword(s):  
Block Design ◽  
Crop Growth ◽  
Raw Material ◽  
Growth And Yield ◽  
Yield Reduction ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Standard Procedures ◽  
Trianthema Portulacastrum ◽  
Benefit Cost

Cotton crop is an important, cash and fiber crop of Pakistan. Its raw material and other products are exported to other countries. Horse purslane is one of major weed responsible for yield reduction. Research trial was carried out at MNS University of Agriculture Multan during Kharif, 2018 to compare the effect of horse purslane on cotton growth and yield. The study was conducted using the Randomized Complete Block Design with three replications. The treatments were; plots maintained horse purslane free for whole season, for 30 days after sowing (DAS) and for 60 DAS, horse purslane and other weeds free for whole season, for 30 DAS and for 60 DAS, weedy check (containing horse purslane only), weedy check (containing all weeds except the horse purslane) and weedy check (all weeds including horse purslane). Weed density and dry bimass, crop growth and yield related parameters were recorded following standard procedures. Horse purslane reduced the height of cotton plants by 26.51%, crop growth rate by 28.44%, total dry matter 28.46% and lint yield by 45%. Treatment having horse purslane and other weeds free for whole season performed best in experiment. Highest benefit cost ratio (1.70) was observed for plots that were kept free from horse purslane and other weeds till 60 DAS.

scholarly journals Modelling water-harvesting systems in the arid south of Tunisia using SWAT

2009 ◽  
Vol 13 (10) ◽  
pp. 2003-2021 ◽  
Author(s):  
M. Ouessar ◽  
A. Bruggeman ◽  
F. Abdelli ◽  
R. H. Mohtar ◽  
D. Gabriels ◽  
...  
Keyword(s):  
Crop Production ◽  
Assessment Tool ◽  
Crop Growth ◽  
Growth And Yield ◽  
Coefficient Of Determination ◽  
Future Research ◽  
Water Harvesting ◽  
Watershed Model ◽  
Runoff Water ◽  
Harvesting Systems

Abstract. In many arid countries, runoff water-harvesting systems support the livelihood of the rural population. Little is known, however, about the effect of these systems on the water balance components of arid watersheds. The objective of this study was to adapt and evaluate the GIS-based watershed model SWAT (Soil Water Assessment Tool) for simulating the main hydrologic processes in arid environments. The model was applied to the 270-km2 watershed of wadi Koutine in southeast Tunisia, which receives about 200 mm annual rain. The main adjustment for adapting the model to this dry Mediterranean environment was the inclusion of water-harvesting systems, which capture and use surface runoff for crop production in upstream subbasins, and a modification of the crop growth processes. The adjusted version of the model was named SWAT-WH. Model evaluation was performed based on 38 runoff events recorded at the Koutine station between 1973 and 1985. The model predicted that the average annual watershed rainfall of the 12-year evaluation period (209 mm) was split into ET (72%), groundwater recharge (22%) and outflow (6%). The evaluation coefficients for calibration and validation were, respectively, R2 (coefficient of determination) 0.77 and 0.44; E (Nash-Sutcliffe coefficient) 0.73 and 0.43; and MAE (Mean Absolute Error) 2.6 mm and 3.0 mm, indicating that the model could reproduce the observed events reasonably well. However, the runoff record was dominated by two extreme events, which had a strong effect on the evaluation criteria. Discrepancies remained mainly due to uncertainties in the observed daily rainfall and runoff data. Recommendations for future research include the installation of additional rainfall and runoff gauges with continuous data logging and the collection of more field data to represent the soils and land use. In addition, crop growth and yield monitoring is needed for a proper evaluation of crop production, to allow an economic assessment of the different water uses in the watershed.

scholarly journals Seasonal and Annual Trends in Australian Minimum/Maximum Daily Temperatures

2016 ◽  
Vol 10 (1) ◽  
pp. 39-55 ◽  
Author(s):  
W. A. van Wijngaarden ◽  
A. Mouraviev
Keyword(s):  
Temperature Trend ◽  
Daily Temperature ◽  
Maximum Temperature ◽  
Rural Environment ◽  
Maximum Daily Temperature ◽  
Temperature Trends ◽  
Significant Step ◽  
Annual Trends ◽  
Maximum Temperatures ◽  
Minimum Daily Temperature

Seasonal and annual trends in Australian minimum and maximum temperatures were studied. Records of daily minimum and maximum temperatures averaged over each month, extending as far back as 1856 were examined. Over 1/2 million monthly temperature values were retrieved from the Australian Bureau of Meteorology for 299 stations. Each station had an average of 89 years of observations. Significant step discontinuities affected the maximum temperature data in the 19th century when Stevenson screens were installed. The temperature trends were found after such spurious data were removed and averaged over all stations. The resulting trend in the minimum (maximum) daily temperature was 0.67 ± 0.19 (0.58 ± 0.26) oC per century for the period 1907-2014. Decadal fluctuations were evident in the maximum daily temperature with most of the increase occurring in the late 20th century. The minimum and maximum daily temperature trends were also found for the various seasons. The minimum daily temperature trend exceeded the maximum daily temperature trend for all seasons except during June to August. The largest increases in minimum temperature as well as the smallest maximum temperature increases were found for the region north of 30 oS latitude and east of 140 oE longitude. There was also evidence that urban stations had greater increases in maximum daily temperature than those located in a rural environment.

Assessing several downscaling methods for daily minimum and maximum temperature in a mountainous area. Are we able to statistically simulate a warmer climate in the Pyrenees?

2020 ◽  
Author(s):  
Marc Lemus-Canovas ◽  
Swen Brands
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Regression Models ◽  
Temporal Correlation ◽  
Daily Temperature ◽  
Maximum Temperature ◽  
Mountainous Area ◽  
Present Contribution ◽  
Mountain Areas ◽  
Maximum Daily Temperature

&lt;p&gt;Mountain areas are one of the most vulnerable areas to climate change, due to the large amount of natural resources they contribute to society. Moreover, the announced increase in temperature for the next few decades may have uncertain consequences for the ecosystems and landscapes of such territories. To face this challenge, it is necessary to test the capacity to simulate the climate of warm periods using observed data. In the present contribution, different perfect prog (PP) downscaling methods were evaluated to simulate the minimum and maximum daily temperature in a 1x1 km grid in the Pyrenees (Spain, France &amp; Andorra) for the period 1985-2015. To obtain the results, several combinations of predictors, different geographical domains of such predictors, as well as different reanalysis databases were used, to check how much they can influence the prediction skill. In addition, different metrics were calculated to evaluate the bias, the similarity in the observed and predicted distributions, the temporal correlation, etc.&lt;/p&gt;&lt;p&gt;The results obtained reflect that the regression models better represent the warm periods using the observed data, as well as a lower bias. The present study will facilitate the decision making on which method of downscaling PP is more useful to reproduce the future temperature in the Pyrenees.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;Statistical downscaling, perfect prog, Pyrenees, daily temperature.&lt;/p&gt;

scholarly journals Maximum Daily Temperature, Precipitation, Ultraviolet Light, and Rates of Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in the United States

2020 ◽  
Author(s):  
Shiv T Sehra ◽  
Justin D Salciccioli ◽  
Douglas J Wiebe ◽  
Shelby Fundin ◽  
Joshua F Baker
Keyword(s):  
United States ◽  
Severe Acute Respiratory Syndrome ◽  
Negative Binomial ◽  
The United States ◽  
Daily Temperature ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Inverse Association ◽  
Maximum Daily Temperature ◽  
Uv Index

Abstract Background Previous reports have suggested that transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is reduced by higher temperatures and higher humidity. We analyzed case data from the United States to investigate the effects of temperature, precipitation, and ultraviolet (UV) light on community transmission of SARS-CoV-2. Methods Daily reported cases of SARS-CoV-2 across the United States from 22 January 2020 to 3 April 2020 were analyzed. We used negative binomial regression modeling to determine whether daily maximum temperature, precipitation, UV index, and the incidence 5 days later were related. Results A maximum temperature above 52°F on a given day was associated with a lower rate of new cases at 5 days (incidence rate ratio [IRR], 0.85 [0.76, 0.96]; P = .009). Among observations with daily temperatures below 52°F, there was a significant inverse association between the maximum daily temperature and the rate of cases at 5 days (IRR, 0.98 [0.97, 0.99]; P = .001). A 1-unit higher UV index was associated with a lower rate at 5 days (IRR, 0.97 [0.95, 0.99]; P = .004). Precipitation was not associated with a greater rate of cases at 5 days (IRR, 0.98 [0.89, 1.08]; P = .65). Conclusions The incidence of disease declines with increasing temperature up to 52°F and is lower at warmer vs cooler temperatures. However, the association between temperature and transmission is small, and transmission is likely to remain high at warmer temperatures.

scholarly journals Temperature-related climate extremes in the Potsdam observation record

Geografie ◽  
2008 ◽  
Vol 113 (4) ◽  
pp. 372-382
Author(s):  
Zbigniew W. Kundzewicz ◽  
Damian Józefczyk
Keyword(s):  
Climate Extremes ◽  
Daily Temperature ◽  
Maximum Temperature ◽  
Daily Minimum Temperature ◽  
Daily Maximum Temperature ◽  
Daily Maximum ◽  
Maximum Daily Temperature ◽  
Daily Minimum ◽  
Maximum Temperatures ◽  
Minimum Daily Temperature

This paper examines temperature-related climate extremes in the unique long-term gapfree record at the Secular Meteorological Station in Potsdam. Increasing tendencies in daily minimum temperature in winter and daily maximum temperature in summer, as well as monthly means of daily minimum temperatures in winter months and of daily maximum temperatures in summer months are illustrated. Also the numbers of hot days and of summer days (with maximum daily temperature exceeding 30 °C and 25 °C, respectively) have been increasing. In agreement with warming of winter minimum temperatures, the numbers of frost days (with minimum daily temperature below 0 °C) and of ice days (with maximum daily temperature below 0 °C) have been decreasing. However, low correlation coefficient and huge scatter illustrate strong natural variability, so that the occurrence of extremes departs from the general underlying tendency.

Book review

2003 ◽  
Vol 51 (3) ◽  
pp. 369
Author(s):  
Z. Berzsenyi
Keyword(s):  
New York ◽  
Mathematical Models ◽  
Crop Growth ◽  
Growth And Yield ◽  
Madison Avenue

A. R. Overman and R. V. Scholtz III.: Mathematical Models of Crop Growth and Yield. Marcel Dekker, 270 Madison Avenue, New York, NY 10016. 2002. Hardcover, 344 pp., 150.00. ISBN 0-8247-0825-3.

INFLUENCE OF GREENHOUSE SHADING AND DIFFERENT NUTRIENT MANAGEMENT PRACTICES ON ALLEVIATING HEAT STRESS, IMPROVING PLANT NUTRIENTS STATUS, FLOWERING GROWTH AND YIELD OF TOMATO

2020 ◽  
Vol 51 (4) ◽  
pp. 1001-1014
Author(s):  
Sulaiman & Sadiq
Keyword(s):  
Heat Stress ◽  
Management Practices ◽  
Nutrient Management ◽  
Block Design ◽  
Nutrient Status ◽  
Growth And Yield ◽  
Reproductive Growth ◽  
Positive Effects ◽  
Nutrition Programs ◽  
The Impact

The experiment was conducted in a greenhouse during 2017 and 2018 growing seasons to evaluate the impact of the shading and various nutrition programs on mitigating heat stress, reducing the use of chemical minerals, improving the reproductive growth and yield of tomato plant. Split-plot within Randomized Complete Block Design (RCBD) with three replications was conducted in this study. Shading factor was allocated in the main plots and the nutrition programs distributed randomly in the subplots. Results indicate that shading resulted in the decrease of daytime temperature by 5.7˚C as an average for both seasons; thus a significant increasing was found in leaf contents of macro nutrients (Nitrogen, Phosphorous, and Potassium), and micro nutrients (Iron, Zinc and Boron), except the Iron content in 2018 growing season. Furthermore, shading improved significantly the reproductive growth and tomato yield. Among the plant nutrition programs, the integrated nutrient management (INM) including the application of organic substances, bio inoculum of AMF and 50% of the recommended dose of chemical fertilizers; lead to the enhancement of nutrients content, reproductive characteristics and plant yield. Generally, combination of both shading and INM showed positive effects on plants nutrient status and persisting balance on tomato flowering growth and fruits yield.

Soybean Sensitivity to Florpyrauxifen-benzyl during Reproductive Growth and the Impact on Subsequent Progeny

2017 ◽  
Vol 32 (2) ◽  
pp. 135-140 ◽  
Author(s):  
M. Ryan Miller ◽  
Jason K. Norsworthy
Keyword(s):  
Plant Height ◽  
Field Studies ◽  
Yield Reduction ◽  
Growth Stages ◽  
Soybean Plant ◽  
Reproductive Growth ◽  
Similar Reduction ◽  
Structural Class ◽  
Soybean Plants ◽  
The Impact

AbstractTo address recent concerns related to auxin herbicide drift onto soybean, a study was developed to understand the susceptibility of the reproductive stage of soybean to a new auxin herbicide compared with dicamba. Florpyrauxifen-benzyl is under development as the second herbicide in a new structural class of synthetic auxins, the arylpicolinates. Field studies were conducted to (1) evaluate and compare reproductive soybean injury and yield following applications of florpyrauxifen-benzyl or dicamba across various concentrations and reproductive growth stages and (2) determine whether low-rate applications of florpyrauxifen-benzyl or dicamba to soybean in reproductive stages would have similar effect on the progeny of the affected plants. Soybean were treated with 0, 1/20, or 1/160, of the 1X rate of florpyrauxifen-benzyl (30 g ai ha−1) or dicamba (560 g ae ha−1) at R1, R2, R3, R4, or R5 growth stage. Soybean plant height and yield was reduced from 1/20X dicamba across all reproductive stages. High drift rates (1/20X) of florpyrauxifen-benzyl also reduced soybean plant height >25% and yield across R1 to R4 stages. Germination, stand, plant height, and yield of the offspring of soybean plants treated with dicamba and florpyrauxifen-benzyl were significantly affected. Dicamba applied at a rate of 1/20X at R4 and R5 resulted in 20% and 35% yield reduction for the offspring, respectively. A similar reduction occurred from florpyrauxifen-benzyl applied at R4 and R5 at the 1/20X rate, resulting in 15% to 24% yield reduction for the offspring, respectively. Based on these findings, it is suggested that growers use caution when applying these herbicides in the vicinity of reproductive soybean.

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