scholarly journals Irrigation Schedules for Selected Food Crops Using Water Balance Book-Keeping Method

2014 ◽  
Vol 47 (3) ◽  
pp. 87-93
Author(s):  
Mary Nkiru Ezemonye ◽  
Chukwudi Naemeka Emeribe

Abstract In the tropics, the water potential of a region cannot be adequately assessed from precipitation alone due to the seasonal character of rainfall and even more so owing to the changing climate scenario. It is therefore necessary that in any agro-climatological program, there must be a clear understanding of the actual amount of water that evaporates and transpires (AET), and the amount of water that would evaporate and transpire if water were always readily available (PET). This could be done through the method of the water balance. The present work examines the water budget of parts of the Imo river basin and its implications for improved crop production through supplementary irrigation schedules. It was observed, that the study area is already facing moisture-stress. This is because even during rainy months supplementary irrigation is required to compensate for the occasionally moisture deficit due to increased evapotranspiration. The study showed that cultivation of maize, rice and tomatoes can be carried out on an all-year round basis under a scientific irrigation scheme. Thus the study provided farmers with guideline on the period and quantity of water required for supplementary irrigation, a development which will prevents wilting of plants before the application of needed water.

1963 ◽  
Vol 3 (11) ◽  
pp. 307 ◽  
Author(s):  
EF Henzell ◽  
GB Stirk

A water-budget analysis was carried out using the Penman formula to assess the long-term effectiveness of rainfall at Samford. The analysis successfully predicted the occurrence of every important period of soil moisture stress that was recorded by direct measurement during a field experiment. It tended to over-estimate the length of dry periods, but the calculated drought days were related reasonably closely to effects on grass growth. Analysis of 100 years' rainfall, using the records for Brisbane and Samford, predicted that periods of soil moisture stress will occur during the months of October, November and December in slightly more than half the years at Samford. It was calculated that the average effect of dry weather between September 1 and December 1 would be to reduce yields of nitrogen-fertilized Rhodes grass (Chloris gayana Kunth.) by about 20 per cent. A major depression of yield by, drought, i.e. a reduction to less than 50 per cent of yield with adequate water, is expected with an average frequency of slightly less than 1 year in 10. Under the climatic conditions of Samford there seems to be little justification for supplementary irrigation of nitrogen- fertilized grasses. It is suggested that water resources could be better used on pasture legumes such as white clover.


1985 ◽  
Vol 4 (2) ◽  
pp. 274
Author(s):  
T. Chapman

2021 ◽  
Author(s):  
Daniel Bergmeister ◽  
Klaus Klebinder ◽  
Bernhard Kohl ◽  
Ulrich Burger ◽  
Georg Orsi ◽  
...  

<p>Assessing the water balance including subsurface runoff in high Alpine catchments is still a major challenge due to environmental and meteorological complexity, and mostly data-lacking hydrology. The aim of this study is the determination of the water balance components and water budget with focus on approximation of interflow, subsurface runoff and groundwater interactions, depending on sediment and bedrock properties.</p><p>In this process we investigate a small, high data providing Alpine catchment in the Wipp Valley (Tyrol, AT) to evaluate the best modelling approach in order to apply it on catchments along the Austrian Brenner axis. Thus, a direct model comparison of the main study catchment, with its (moderate data providing) neighbouring valley is carried out. The main study catchment (Padaster Valley) covers 11.2 km<sup>2</sup> and is located east of Steinach am Brenner in the Wipp Valley. Due to its partially usage as a deposital site, respectively a landfill for the tunnel excavation material of the Brenner Base Tunnel, this valley represents a highly interesting site in a hydrological aspect. Thus, the Padaster Valley is highly monitored and hence predestined for hydrological investigations. Hydrological data such as discharge is measured high frequently on four gauges, meteorological data on two gauges. An additional study catchment (Navis Valley) covers 63 km<sup>2</sup> and is located northerly next the Padaster Valley. Seven gauges provide meteorological data, however, continuous discharge data is just measured at the valley mouth. Further meteorological data for both areas will be contributed by the ZAMG (Zentralanstalt für Meteorologie und Geodynamik), whose INCA model provide a high spatial resolution dataset of 1km. However, in order to gain a better overall understanding of subsurface runoff and hydrogeological processes, geological data will be considered and incorporated/integrated in the modelling process. This includes geological maps, - cross sections and geophysical analysis, which help to estimate the bedrock topography, and consequently the volume as well as deeper seated hydrogeological properties of the sediment cover. In this context, continuous data from 7 groundwater observation wells provide information regarding groundwater levels and hydraulic head. To increase the model accuracy regarding subsurface flow processes, subsurface-depending runoff types after Pirkl & Sausgruber (2015) are applied. Furthermore, several maps such as land use, surface runoff coefficient and soil map including grain size distribution of the layers have been compiled by in-situ fieldwork for this study. In order to model the water budget, subsurface runoff and overall hydrological slope properties, the distributed hydrological Model WaSIM (Richards version; Schulla, 1997) is applied. The model is based on a modular system which uses physically-based algorithms.</p><p>The present study is been carried out by the Austrian Research Centre for Forests (BFW) in collaboration with the Brenner Base Tunnel (BBT-SE).</p>


2012 ◽  
Vol 54 (4) ◽  
pp. 179-191 ◽  
Author(s):  
Jordi Sanchez-Ribas ◽  
Gabriel Parra-Henao ◽  
Anthony Érico Guimarães

Irrigation schemes and dams have posed a great concern on public health systems of several countries, mainly in the tropics. The focus of the present review is to elucidate the different ways how these human interventions may have an effect on population dynamics of anopheline mosquitoes and hence, how local malaria transmission patterns may be changed. We discuss different studies within the three main tropical and sub-tropical regions (namely Africa, Asia and the Pacific and the Americas). Factors such as pre-human impact malaria epidemiological patterns, control measures, demographic movements, human behaviour and local Anopheles bionomics would determine if the implementation of an irrigation scheme or a dam will have negative effects on human health. Some examples of successful implementation of control measures in such settings are presented. The use of Geographic Information System as a powerful tool to assist on the study and control of malaria in these scenarios is also highlighted.


2021 ◽  
Author(s):  
Tobias Stacke ◽  
Stefan Hagemann

Abstract. Global hydrological models (GHMs) are a useful tool in the assessment of the land surface water balance. They are used to further the understanding of interactions between water balance components as well as their past evolution and potential future development under various scenarios. While GHMs are a part of the Hydrologist's toolbox since several decades, the models are continuously developed. In our study, we present the HydroPy model, a revised version of an established GHM, the Max-Planck Institute for Meteorology's Hydrology Model (MPI-HM). Being rewritten in Python, the new model requires much less effort in maintenance and due to its flexible infrastructure, new processes can be easily implemented. Besides providing a thorough documentation of the processes currently implemented in HydroPy, we demonstrate the skill of the model in simulating the land surface water balance. We find that evapotranspiration is reproduced realistically for the majority of the land surface but is underestimated in the tropics. The simulated river discharge correlates well with observations. Biases are evident for the annual accumulated discharge, however they can – at least to some part – be attributed to discrepancies between the meteorological model forcing data and the observations. Finally, we show that HydroPy performs very similar to MPI-HM and, thus, conclude the successful transition from MPI-HM to HydroPy.


2020 ◽  
Vol 16 (2) ◽  
pp. 260-264
Author(s):  
H.Y. Patil ◽  
Pooja ◽  
V.P. Chimmad

The performance of crops need to be assessed for their production under erratic rain fall pattern, increased temperatures, and enhanced atmospheric CO2 concentration. In the present study groundnut was chosen as test crop and selected genotypes [four released (GPBD-4, G2-52, Dh-86 and TMV-2) and four pre-released (Dh-245, Dh-232, Dh-256 and Dh-257)] were studied to quantify the impact of moisture deficit stress at critical growth stages i.e., 40 to 80 DAS and 80 DAS to harvest. Leaf protein and proline increases in tolerant genotypes at higher moisture stress levels than susceptible genotypes as they acts as osmolytes and maintains the turgidity of the cell and hence, checks the water loss and peroxidase enzyme activity which in turn scavenges ROS produced due to stress as a result there was reduction in yield. The genotypes, GPBD-4, Dh-257 and Dh-256 recorded higher per cent increase in leaf soluble protein, leaf proline and peroxidase enzyme activity at all the stages. Increase was higher at 80 DAS to harvest stressed plants than 40 to 80 DAS stressed plants.


2011 ◽  
Vol 8 (1) ◽  
pp. 763-809 ◽  
Author(s):  
M. M. Mekonnen ◽  
A. Y. Hoekstra

Abstract. This study quantifies the green, blue and grey water footprint of global crop production in a spatially-explicit way for the period 1996–2005. The assessment is global and improves upon earlier research by taking a high-resolution approach, estimating the water footprint of 126 crops at a 5 by 5 arc min grid. We have used a grid-based dynamic water balance model to calculate crop water use over time, with a time step of one day. The model takes into account the daily soil water balance and climatic conditions for each grid cell. In addition, the water pollution associated with the use of nitrogen fertilizer in crop production is estimated for each grid cell. The crop evapotranspiration of additional 20 minor crops is calculated with the CROPWAT model. In addition, we have calculated the water footprint of more than two hundred derived crop products, including various flours, beverages, fibres and biofuels. We have used the water footprint assessment framework as in the guideline of the water footprint network. Considering the water footprints of primary crops, we see that global average water footprint per ton of crop increases from sugar crops (roughly 200 m3 ton−1), vegetables (300 m3 ton−1), roots and tubers (400 m3 ton−1), fruits (1000 m3 ton−1), cereals} (1600 m3 ton−1), oil crops (2400 m3 ton−1) to pulses (4000 m3 ton−1). The water footprint varies, however, across different crops per crop category and per production region as well. Besides, if one considers the water footprint per kcal, the picture changes as well. When considered per ton of product, commodities with relatively large water footprints are: coffee, tea, cocoa, tobacco, spices, nuts, rubber and fibres. The analysis of water footprints of different biofuels shows that bio-ethanol has a lower water footprint (in m3 GJ−1) than biodiesel, which supports earlier analyses. The crop used matters significantly as well: the global average water footprint of bio-ethanol based on sugar beet amounts to 51 m3 GJ−1, while this is 121 m3 GJ−1 for maize. The global water footprint related to crop production in the period 1996–2005 was 7404 billion cubic meters per year (78% green, 12% blue, 10% grey). A large total water footprint was calculated for wheat (1087 Gm3 yr−1), rice (992 Gm3 yr−1) and maize (770 Gm3 yr−1). Wheat and rice have the largest blue water footprints, together accounting for 45% of the global blue water footprint. At country level, the total water footprint was largest for India (1047 Gm3 yr−1), China (967 Gm3 yr−1) and the USA (826 Gm3 yr−1). A relatively large total blue water footprint as a result of crop production is observed in the Indus River Basin (117 Gm3 yr−1) and the Ganges River Basin (108 Gm3 yr−1). The two basins together account for 25% of the blue water footprint related to global crop production. Globally, rain-fed agriculture has a water footprint of 5173 Gm3 yr−1 (91% green, 9% grey); irrigated agriculture has a water footprint of 2230 Gm3 yr−1 (48% green, 40% blue, 12% grey).


2018 ◽  
Vol 61 (5) ◽  
pp. 1619-1626
Author(s):  
Pingjin Jiao ◽  
Yingduo Yu ◽  
Di Xu

Drainage water reuse has the potential to supplement irrigation, reduce drainage, and alleviate the area source pollution caused by agricultural drainage. This study aimed to evaluate the effects of influencing factors of drainage water reuse on supplementary irrigation and drainage reduction rates. To evaluate the effects, a water balance model was constructed to describe the irrigation water requirement and drainage water storage of a pond. The irrigation water requirement was calculated using the Penman-Monteith equation and the crop coefficient method while considering field leakage and effective rainfall; the drainage water volume was calculated using the improved Soil Conservation Service (SCS) model. The model was applied to the rice planting area in the Zhanghe Reservoir Irrigation District. Simulation results show that the supplementary irrigation and drainage reduction rates are primarily affected by the ratio of irrigation to drainage areas (RID), the pond volume ratio (PV), and the initial storage ratio (PSi); interactions among the three parameters are also observed. The RID, PV, and PSi contribute approximately 4:3:1 to the average variations in the supplementary irrigation rate. The supplementary irrigation rate increases with the values of PV and PSi but decreases with the increases of RID. For the drainage reduction rate variation, the average contribution percentages of PV and RID are 70% and 10%, respectively. Increasing PV and RID or reducing PSi enhances the drainage reduction rate. Adjusting the combination of parameters PV and RID can simultaneously maximize the supplementary irrigation and drainage reduction rates. Keywords: Drainage reduction, Drainage water reuse, Pond, Supplementary irrigation, Water balance model.


Agronomy ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1193
Author(s):  
Clementine Namazzi ◽  
Julius Pyton Sserumaga ◽  
Swidiq Mugerwa ◽  
Martina Kyalo ◽  
Collins Mutai ◽  
...  

Brachiaria (syn. Urochloa) grass is an important tropical forage of African origin that supports millions of livestock and wildlife in the tropics. Overgrazing, conversion of grasslands for crop production and non-agricultural uses, and the introduction of improved forages have threatened the natural diversity of Brachiaria grass in Uganda. This study established a national collection of Brachiaria ecotypes in Uganda and analyzed them for genetic diversity and population structure using 24 simple sequence repeats (SSR) markers. These markers had a high discriminating ability with an average polymorphism information content (PIC) of 0.89 and detected 584 alleles in 99 ecotypes. Analysis of molecular variance revealed a high within populations variance (98%) indicating a high gene exchange or low genetic differentiation (PhiPT = 00.016) among the ecotype populations. The Bayesian model based clustering algorithm showed three allelic pools in Ugandan ecotypes. The principal component analysis (PCA) of ecotypes, and Neighbor-joining (NJ) tree of ecotypes and six commercial cultivars showed three main groups with variable membership coefficients. About 95% of ecotype pairs had Rogers’ genetic distance above 0.75, suggesting most of them were distantly related. This study confirms the high value of these ecotypes in Brachiaria grass conservation and improvement programs in Uganda and elsewhere.


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