scholarly journals Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize (Zea mays L.)

Agriculture ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 75 ◽  
Author(s):  
Kim ◽  
Chemere ◽  
Sung

The objective of this study was to detect the historical dry matter yield (DMY) trend and to evaluate the effects of heavy rainfall events on the observed DMY trend of whole crop maize (WCM, Zea mays L.) using time-series analysis in Suwon, Republic of Korea. The climatic variables corresponding to the seeding to harvesting period, including the growing degree days, mean temperature, etc., of WCM along with the DMY data (n = 543) during 1982–2011, were used in the analysis. The DMY trend was detected using Autoregressive Integrated Moving Average with the explanatory variables (ARIMAX) form of time-series trend analysis. The optimal DMY model was found to be ARIMAX (1, 1, 1), indicating that the DMY trend follows the mean DMY of the preceding one year and the residual of the preceding one year with an integration level of 1. Furthermore, the SHGDD and SHHR were determined to be the main variables responsible for the observed trend in the DMY of WCM. During heavy rainfall events, the DMY was found to be decreasing by 4745.27 kg/ha (p < 0.01). Our analysis also revealed that both the intensity and frequency of heavy rainfall events have been increasing since 2005. The forecasted DMY indicates the potential decrease, which is expected to be 11,607 kg/ha by 2045. This study provided us evidence for the correlation between the DMY and heavy rainfall events that opens the way to provide solutions for challenges that summer forage crops face in the Republic of Korea.

2015 ◽  
Vol 16 (2) ◽  
pp. 548-562 ◽  
Author(s):  
Auguste Gires ◽  
Ioulia Tchiguirinskaia ◽  
Daniel Schertzer ◽  
Alexis Berne

Abstract Data collected during four heavy rainfall events that occurred in Ardèche (France) with the help of a 2D video disdrometer (2DVD) are used to investigate the structure of the raindrop distribution in both space and time. A first type of analysis is based on the reconstruction of 36-m-height vertical rainfall columns above the measuring device. This reconstruction is obtained with the help of a ballistic hypothesis applied to 1-ms time step series. The corresponding snapshots are analyzed with the help of universal multifractals. For comparison, a similar analysis is performed on the time series with 1-ms time steps, as well as on time series of accumulation maps of N consecutive recorded drops (therefore with variable time steps). It turns out that the drop distribution exhibits a good scaling behavior in the range 0.5–36 m during the heaviest portion of the events, confirming the lack of empirical evidence of the widely used homogenous assumption for drop distribution. For smaller scales, drop positions seem to be homogeneously distributed. The notion of multifractal singularity is well illustrated by the very high-resolution time series.


1978 ◽  
Vol 56 (16) ◽  
pp. 1905-1908 ◽  
Author(s):  
S. C. Agarwala ◽  
C. P. Sharma ◽  
S. Farooq ◽  
C. Chatterjee

Molybdenum deficiency decreased the dry matter yield, tissue concentration of molybdenum, and chlorophyll content of corn (Zea mays L. cv. T.41) plants. Compared with the normal (control) plants, leaves of molybdenum-deficient plants had significantly lower activities of nitrate reductase, catalase, aldolase, and alanine aminotransferase and higher activities of peroxidase, β-glycerophosphatase, and ribonuclease. Within 72 h of supplying molybdenum (50 μM) to molybdenum-deficient plants, chlorophyll concentration, soluble protein, and activities of nitrate reductase, catalase, and alanine aminotransferase showed considerable recovery but the increase in the peroxidase activity was further enhanced. Supply of molybdenum to molybdenum-deficient plants did not significantly affect the activity of aldolase, ribonuclease, and β-glycerophosphatase.


2021 ◽  
pp. 57-66
Author(s):  
Abdullah Oktem ◽  
Yıldız Kahramanoglu

In this study, it was aimed to determine forage yield and yield characteristics of some popcorn (Zea mays L. everta) genotypes and find out the using possibilities of popcorn as a feed material. Study was carried out during the second crop growing season under Sanliurfa, Turkey climatic conditions in 2017. The experiment was designed complete randomized blocks design with three replicates. In the research 13 popcorn new genotypes were used as a crop material. In the study, tassel flowering duration values ranged from 52.0 day to 58.0 day, plant height from 161.23 cm to 210.20 cm, leaf number from 11.16 to 13.90 number ear-1, stem diameter from 21.12 mm to 25.39 mm. Also, another characteristic such as height of fist ear value values were between 74.1 cm and 111.4, biomass yield between 5092.9 kg da-1 and 8069.28 kg da-1. Dry matter yield values varied from 1812.28 to 3333.54 kg da-1, harvest index from 17.72% to 41.64%. When the plant height, biomass yield and dry matter yield values evaluated together for forage value of popcorn genotypes it was determined that 5YTR1305, AYCİN R-997, KUM1347 and 235EAD05 popcorn genotypes was found better than others. It was observed that biomass yield in popcorn plant reached 8 tons da-1 and dry matter yield over 3 tons da-1. It has been seen that popcorn can be used as a feed source for livestock animals.


2019 ◽  
Vol 46 (4) ◽  
pp. 438-446
Author(s):  
D. E. Klimenko ◽  
E. S. Cherepanova ◽  
A. Yu. Kuzminykh

Applied analyses of a number of datasets containing several highwater-forming storm rainfall events (intense rain for short time periods) per year are examined. The use of data containing several events per year is demonstrated as justified for reliable determination of statistical properties of time series derived from short observation periods. The statistics of time series containing one to several events per year in the Ural Mountains are shown to be well correlated with the frequency of the observed events. Recommendations for recalculation of the time-series statistics containing several events per year versus statistics for one event per year were developed, and a brief comparative analysis of the methods used in Russia is provided.


Agriculture ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 197 ◽  
Author(s):  
Befekadu Chemere ◽  
Jiyung Kim ◽  
Baehun Lee ◽  
Moonju Kim ◽  
Byongwan Kim ◽  
...  

Despite the gradual increase in livestock feed demands, the supply faces enormous challenges due to extreme climatic conditions. As the presence of these climatic condition has the potential to affect the yield of sorghum-sudangrass hybrid (SSH), understanding the yield variation in relation to the climatic conditions provides the ability to come up with proper mitigation strategies. This study was designed to detect the effect of climatic factors on the long-term dry matter yield (DMY) trend of SSH using time series analysis in the Republic of Korea. The collected data consisted of DMY, seeding-harvesting dates, the location where the cultivation took place, cultivars, and climatic factors related to cultivation of SSH. Based on the assumption of normality, the final data set (n = 420) was generated after outliers had been removed using Box-plot analysis. To evaluate the seasonality of DMY, an augmented Dickey Fuller (ADF) test and a correlogram of Autocorrelation Function (ACF) were used. Prior to detecting the effect of climatic factors on the DMY trend, the Autoregressive Integrated Moving Average (ARIMA) model was fitted to non-seasonal DMY series, and ARIMA (2, 1, 1) was found to be the optimal model to describe the long-term DMY trend of SSH. ARIMA with climatic factors (ARIMAX) detected significance (p < 0.05) of Seeding-Harvesting Precipitation Amount (SHPA) and Seeding-Harvesting Accumulated Temperature (SHAMT) on DMY trend. This does not mean that the average temperature and duration of exposure to sunshine do not affect the growth and development of SSH. The result underlines the impact of the precipitation model as a major factor for the seasonality of long-term DMY of SSH in the Republic of Korea.


Soil Research ◽  
1997 ◽  
Vol 35 (3) ◽  
pp. 629 ◽  
Author(s):  
K. J. Hailes ◽  
R. L. Aitken ◽  
N. W. Menzies

A glasshouse trial, in which maize (Zea mays L. cv. Pioneer 3270) was grown in 35 north-eastern Australian soils of low magnesium (Mg) status, was undertaken to study the response to applied Mg. Of the soils studied, 20 were strongly acidic (pH1:5 soil : water <5·4), and in these soils the response to Mg was studied in both the presence and absence of lime. Magnesium application significantly (P < 0·05) increased dry matter yield in 10 soils, all of which were strongly acidic. However, significant Mg responses were recorded in 6 soils in the presence of lime, indicating that, in many situations, liming strategies may need to include consideration of Mg nutrition. Critical soil test values for 90% relative yield were 0·21 cmol(+)/kg of exchangeable Mg or 7% Mg saturation, whilst the critical (90% yield) plant tissue Mg concentration (whole shoots) was 0·15%.


Weather ◽  
2010 ◽  
Vol 65 (4) ◽  
pp. 88-94 ◽  
Author(s):  
Jonathan Hopkins ◽  
Jeff Warburton ◽  
Tim Burt

Soil Research ◽  
2010 ◽  
Vol 48 (7) ◽  
pp. 638 ◽  
Author(s):  
Tshewang Namgay ◽  
Balwant Singh ◽  
Bhupinder Pal Singh

Biochar has gained importance due to its ability to increase the long-term soil carbon pool and improve crop productivity. However, little research has been done to evaluate the influence of biochar application to soil on the bioavailability of trace elements to plants. A pot experiment was conducted to investigate the influence of biochar on the availability of As, Cd, Cu, Pb, and Zn to maize (Zea mays L.). An activated wood biochar, pyrolysed at 550°C, was applied at 3 rates (0, 5, and 15 g/kg) in factorial combinations with 3 rates (0, 10, and 50 mg/kg) each of As, Cd, Cu, Pb, and Zn separately to a sandy soil. After 10 weeks of growth, plants were harvested, shoot dry matter yield was measured, and concentration of trace elements in shoots was analysed. The soil in pots was analysed for extractable trace elements. The results showed that the addition of wood biochar to soil did not have any significant effect on the dry matter yield of maize plants, even at the highest rate of application. However, trace element application significantly reduced the dry matter yield from 10 to 93% depending on the type of trace element. Biochar application decreased the concentration of As, Cd, and Cu in maize shoots, especially at the highest rate of trace element application, whereas the effects were inconsistent on Pb and Zn concentrations in the shoots. The concentrations of extractable As and Zn in soil increased with biochar application, whereas extractable Cu did not change, Pb decreased, and Cd showed an inconsistent trend. Sorption of trace elements on biochar with initial loadings up to 200 µmol at pH 7 occurred in the order: Pb > Cu > Cd > Zn > As. The results show that biochar application can significantly reduce the availability of trace elements to plants and suggest that biochar application may have potential for the management of soils contaminated by trace elements.


Plants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2608
Author(s):  
Hamza Bouras ◽  
Ahmed Bouaziz ◽  
Redouane Choukr-Allah ◽  
Abdelaziz Hirich ◽  
Krishna Prasad Devkota ◽  
...  

Salinity is a major problem affecting crop production in many regions in the world including Morocco. Agricultural practices such as fertilization could be useful to overcome this problem and improve crop productivity. The objective of our study was to evaluate the combined effect of phosphorus fertilization and irrigation water salinity on growth, yield, and stomatal conductance of forage corn (Zea mays L.) cv. “Sy sincerro”. Field experiments were carried out for two years testing four levels of irrigation water salinity (ECw = 0.7; 2, 4, and 6 dS·m−1) and three rates of phosphorus (105, 126, and 150 kg P2O5·ha−1) fertilization conducted in a split-plot design with three replications. The obtained results show that irrigation water salinity had a negative effect on all monitored parameters. For instance, the dry matter yield reduced by an average of 19.3 and 25.1% compared to the control under saline irrigation with an EC value equal to 4 and 6 dS·m−1, respectively. The finding also showed that phosphorus applications tend to increase root weight, root length, stem length, leaf stomatal conductance, grain yield and dry matter yield under salinity conditions. For example, the addition of phosphorus with a rate of 126 and 150 kg P2O5·ha−1 respectively improved dry matter yield by an average of 4 and 9% under low salinity level (ECw = 2 dS·m−1), by 4 and 15% under medium salinity (4 dS·m−1), and by 6 and 8% under a high salinity level (6 dS·m−1). Our finding suggests that supplementary P application could be one of the best practices to reduce the adverse effects of high salinity on growth and development of forage corn.


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