Net Requirements Research Articles

Macromineral and trace element requirements for Santa Ines sheep

Minerals play an important role in animal metabolism. Knowledge of mineral requirements allows well-formulated diets to be provided, which is the main factor that affects performance. To determine the macromineral and trace element requirements for growth and maintenance, thirty-eight 2-month-old Santa Ines lambs with initial body weight (BW) of 13.0 ± 1.49 kg were distributed in a factorial design with feeding levels (ad libitum, 30% and 60% feed restriction) and sex classes [castrated (CM) and intact males (IM)]. The net mineral requirements for gain were higher (P < 0.05) with increasing BW and average daily gain, except for Ca and Na, which remained constant as the empty BW (EBW) increased. The macromineral net requirement for maintenance (g/kg EBW0.75) and the true retention coefficient (k; %) were 0.0784 and 65.2 for Ca, 0.0926 and 80.0 for P, and 0.0379 and 59.0 for K, respectively. The k of Mg was higher (P < 0.05) for IM (11.3 for IM and 7.9 for CM). Sex did not affect (P > 0.05) the maintenance requirement of the trace elements Co, Cu, Zn and Cr which were 0.0015, 0.037, 0.698, and 0.0055 (mg/kg EBW0.75), respectively. Our study indicated that the Santa Ines net mineral requirements are different from the main nutritional requirements established by committees for sheep, which may result in unbalanced diets.

Exploring the ecological outcomes of mandatory biodiversity net gain using evidence from early‐adopter jurisdictions in England

AbstractNet outcome‐type biodiversity policies are proliferating globally as perceived mechanisms to reconcile economic development and conservation objectives. The UK government's Environment Bill will mandate that most new developments in England demonstrate that they deliver a biodiversity net gain (BNG) to receive planning permission, representing the most wide‐ranging net outcome type policy globally. However, as with many nascent net‐outcome policies, the likely outcomes of mandatory BNG have not been explored empirically. We assemble all BNG assessments (accounting for ∼6% of England's annual housebuilding and other infrastructure) submitted from January 2020 to February 2021 in six early‐adopter councils who are implementing mandatory no net loss or BNG requirements in advance of the national adoption of mandatory BNG, and analyze the aggregate habitat changes proposed. Our sample is associated with a 34% reduction in the area of nonurban habitats, generally compensated by commitments to deliver smaller areas of higher quality habitat years later in the development project cycle. Ninety‐five percent of biodiversity units delivered in our sample come from habitats within or directly‐adjacent to the development footprint managed by the developers. However, we find that these gains fall within a governance gap whereby they risk being unenforceable, a challenge that is shared with other net outcome type policies implemented internationally.

Metabolizable Protein: 2. Requirements for Maintenance in Growing Saanen Goats.

This study aimed to estimate the protein requirements for the maintenance of growing Saanen goats of different sexes from 5 to 45 kg of body weight (BW) using two methods and applying a meta-analysis. For this purpose, two datasets were used. One dataset was used to evaluate the effects of sex on the protein requirements for maintenance using the comparative slaughter technique. This dataset was composed of 185 individual records (80 intact males, 62 castrated males, and 43 females) from six studies. The other dataset was used to evaluate the effects of sex on the protein requirements for maintenance using the N balance method. This dataset was composed of 136 individual records (59 intact males, 43 castrated males, and 34 females) from six studies. All studies applied an experimental design that provided different levels of N intake and different levels of N retention, allowing the development of regression equations to predict the net protein requirement for maintenance (NPM) and the metabolizable protein (MP) requirements for maintenance (MPM) in Saanen goats. The efficiency of MP use for maintenance (kPM) was computed as NPM/MPM. The efficiency of MP use for gain (kPG) was calculated using the equation of daily protein retained against daily MP intake above maintenance. A meta-analysis was applied using the MIXED procedure of SAS, in which sex was considered a fixed effect, and blocks nested in the studies and goat sex were considered as random effects. The NPM did not differ between sexes, irrespective of the approach used. The daily NPM estimated was 1.23 g/kg0.75 BW when using the comparative slaughter technique, while it was 3.18 g/kg0.75 BW when using the N balance technique for growing Saanen goats. The MPM estimated was 3.8 g/kg0.75 BW, the kPM was 0.33, and the kPG was 0.52. We observed that the NPM when using the comparative slaughter technique in growing Saanen goats is lower than that recommended by the current small ruminant feeding systems; on the other hand, the MPM was similar to previous reports by the feeding systems. Sex did not affect the protein requirements for maintenance and the efficiencies of use of metabolizable protein.

Analytical Model Quantifying the Net Coolant Flow Rate to a Microstructured Copper Surface Validated With Two-Phase Particle Image Velocimetry Measurements

Abstract Using particle image velocimetry (PIV), the amount of fluid required to sustain nucleate boiling was quantified to a microstructured copper circular disk. Having prepared the disk with preferential nucleation sites, an analytical model of the net coolant flow rate requirements to a single site has been produced and validated against experimental data. The model assumes that there are three primary phenomena contributing to the coolant flow rate requirements at the boiling surface; radial growth of vapor throughout incipience to departure, bubble rise, and natural convection around the periphery. The total mass flow rate is the sum of these contributing portions. The model accurately predicts the quenching fluid flow rate at low and high heat fluxes with 4% and 30% error of the measured value, respectively. For the microstructured surface examined in this study, coolant flow rate requirements ranged from 0.1 to 0.16 kg/s for a range of heat fluxes from 5.5 to 11.0 W/cm2. Under subcooled conditions, the coolant flow rate requirements plummeted to a nearly negligible value due to domination of transient conduction as the primary heat transfer mechanism at the liquid/vapor/surface interface. PIV and the validated analytical model could be used as a test standard where the amount of coolant the surface needs in relation to its heat transfer coefficient or thermal resistance is a benchmark for the efficacy of a standard surface or boiling enhancement coating/surface structure.

Empirical Evaluation and Prediction of Protein Requirements for Maintenance and Growth of 18-24 Months Old Thai Swamp Buffaloes.

Simple SummaryThai swamp buffalo is a domesticated swamp buffalo (Bubalus bubalis) which has a functional significance for the livestock production system and for the economic benefit of Thailand. For instance, meat supply derived from Thai swamp buffalo is a secondary consideration in recently years. Therefore, there is mounting interest concerning the regulation of the nutrient requirements of Thai swamp buffalo to optimize their production. However, no systematic report is available on the nutrient requirements of the growing Thai swamp buffalo. This study investigates and predicts protein requirement systems that can provide an abundant energy intake and can be included in the 18–24 months old Thai swamp buffalo’s diet, as well as supply the recommended amount of net nitrogen or crude protein requirement to optimize their growth and maintenance. Protein requirement, nutrient utilization, and microorganism profile are included to corroborate the influences mentioned.In some geographical areas and in certain breeding situations, the interpretation of increased gain in the bovine is difficult to investigate. Due to their inherent genetic variations, their energy and protein needs vary as a function of inherent genetic differences, making these requirements difficult to accurately assess in bull species, e.g., Thai swamp buffalo. The study aimed at investigating and predicting protein requirement systems, by the provision of an abundant energy intake of 2.2 Mcal/kg DM for the maintenance and growth of Thai swamp buffaloes using a comparative prolonged feeding trial for 90 days. Sixteen bull Thai swamp buffaloes at the initial (Age: 18–24 months; BW: 233 ± 25.0 kg) were assigned into four treatment groups, four buffaloes each, fed 5.4, 6.6, 8.5, and 10.5% DM crude protein (CP). CP intake, BW, and physiological fluid were determined. The net CP requirements for maintenance and growth of Thai swamp buffaloes were 5.41 g CP/kg W0.75 and 0.46 g CP/g average daily gain (ADG), respectively. Our results indicated that CP requirement increases when the BW increases. An increased dietary CP resulted in increased amounts of blood urine nitrogen (N), N absorption, total volatile fatty acid, urinary purine derivative, and the microbial N. Notably, the net CP requirement for growth of Thai swamp buffalo was higher than it reported in NRC, but the maintenance was lower.

Macromineral requirements for gain of Dorper lambs with differences in residual feed intake and raised in Brazilian semiarid

The aim of this study was to determine the net requirements of calcium (Ca), phosphorus (P), magnesium (Mg) and sulfur (S) for gain of high or low residual feed intake (RFI) Dorper lambs confined in full sun or shade. Sixty-four intact male Dorper lambs with an average initial body weight (BW) of 17.8 ± 2.43 kg and an average age of 70 ± 10 days were confined for 40 days to separate them into two groups (high or low RFI). Thereafter, a group of 4 animals (2 high RFI and 2 low RFI) were slaughtered to estimate initial empty body weight (EBW) and body composition of animals slaughtered at the end of the experiment. The 60 remaining lambs were distributed in a randomized block design, with a 2 × 2×3 factorial scheme, with two feedlot environments (full sun or shade, 30 animals in each), two groups of feed efficiency (high RFI or low RFI, 30 animals in each) and different levels of concentrate (30, 45 and 60 %), with 5 repetitions in each interactive treatment. The animals from each feedlot environment and from each RFI were distributed in three dietary treatments with different levels of concentrate to have different body compositions necessary to determine their macromineral requirements. The animals were confined for 60 days until slaughter. Neither RFI nor feedlot environment affected the net macromineral requirements for gain of Dorper lambs (P > 0.05). There was a decrease in net Ca, P and S requirements as fasting BW (FBW) increased from 20 to 40 kg (P < 0.05). However, the net requirements of these macrominerals for gain increased as average daily gain (ADG) increased from 100 to 300 g/day (P < 0.05). In contrast, the net Mg requirement for gain increased as both FBW and ADG increased (P < 0.05). The results showed that there was no significant effect of RFI and shade environment on the net requirements of macrominerals for weight gain of Dorper lambs. Possible differences could be in the dietary level or in the maintenance level. Therefore, further studies are needed to assess the effect of RFI and shade environment on the mineral requirements of lambs.

Irrigation scheduling and requirements of processing tomato (Lycopersicon esculentum L.) in Eastern Canada

A 3-year study was conducted to determine the irrigation requirements for field tomato production in southwestern Ontario, Canada. Irrigation requirements were ascertained using both a weather-based crop water model, and data from soil moisture sensors. The equivalent irrigation depth applied based on real-time soil moisture measurements among four soil moisture treatments ranged from 102 to 168 mm, 85 to 190 mm, and 58 to 196 mm for 2008, 2009, and 2010, respectively. Using the crop simulation model—AquaCrop, the net irrigation water requirement (NIWR) was estimated as 163–236 mm over the 3-year period. The model overestimated the NIWR compared to the real-time sensor-based measurements. A comparison between these two approaches indicated that a soil moisture depletion of ≤ 45% available water content (AWC) resulted in adequate moisture to meet crop water requirements, and correspondingly produce higher crop yields. From this study, we conclude that real-time soil moisture sensors proved to be very effective for scheduling irrigation of processing tomatoes in Eastern Canada and leads to higher water savings.

RAW MATERIAL INVENTORY PLANNING OF PATIENT MENU USING MATERIAL REQUIREMENT PLANNING (MRP) IN RSIA KENDANGSARI MERR SURABAYA

Introduction: Material Requirement Planning (MRP) is a technique or a logical procedure to translate the Master Production Schedule (MPS) of the finished goods or end item into the net requirements for some of the components needed to implement the MPS. MRP is used to determine the amount of material needs to support the Master Production Schedule and when the material needs to be scheduled.Methods: The study is conducted on 13 August 2018 until 12 September 2018 at the installation Nutrition RSIA Kendangsari Merr Surabaya. Collecting data in this study using several methods, including: observation- This stage is conducted in all parts related to the object of study, starting from the Purchase Order (PO) by a head cook up to raw material stored in the storage, discussion- author interviews and collects data to communicate and discuss with the respondents. Respondents in this study are the head of the nutrition unit and head cook of RSIA who have the authority doing the purchasing.Results: Planning of procurement of raw materials to the menu rawon in RSIA can use the Exponential Smoothing method. The discussion has compared two methods of forecasting and the results are consistent with the demand’s patterns of Simple Moving Average method, Exponential Smothing. Forecasting has the lowest error rate by using Exponential Smoothing. The second conclusion is a technique of determining the appropriate Material Requirement Planning in raw material procurement to menu rawon in RSIA is using Lot for Lot.

Modelling net irrigation water requirements using FAO-CROPWAT 8.0 and CLIMWAT 2.0: a case study of Tina Plain and East South ElKantara regions, North Sinai, Egypt

ABSTRACT The present study aims at estimating net and gross water requirements of eight major irrigated crops in the agro-ecological regions Tina Plain (AER 1), and East South ELKantara (AER 2) in Egypt using FAO-CROPWAT 8.0 and its attached meteorological parameters CLIMWAT 2.0 model. Historical weather data at Ismailia and Port Said stations for 40 years (1975 to 2014) were recalled from the CLIMWAT 2.0. The net irrigation requirements for berseem clover, barley and cotton in AER 1 were computed at 612 mm, 283 mm and 901 mm, respectively, while, in AER 2, the corresponding values were 738 mm, 287 mm and 1113 mm showing a 19% increase. District water balance scenarios show for crop pattern with maximum net and gross irrigation water requirement, and irrigation efficiencies 40% and 60% in AER 1 and AER 2, respectively, indicates 22.1% increase above the licensed water limit, crop pattern with minimum net and gross irrigation requirements indicates 23.1% saving of allocation water limit, and the current crop pattern indicates 8.1% saving. Therefore, better water management should be adapted to focus on improving irrigation efficiency and cultivating crops with lower water need, such as green beans, wheat, barely, sugar beet, and tomato.

Assessing the impacts of climate change on irrigation diversion water requirement in the Philippines

This study assessed the impacts of climate change on diversion water requirements for irrigation system planning and development in the Philippines. Representative sites with high potential for irrigation development were selected from each of the four climatic types in the country. Cropping calendars were developed based on evapotranspiration and rainfall patterns. The CROPWAT program was used to determine the net irrigation requirement, from which the irrigation diversion requirements were derived based on estimated irrigation efficiencies. Recently published climate projections using the representative concentration pathways were used as climate change scenarios. Results of this study showed that the CROPWAT estimates of evapotranspiration were satisfactorily calibrated and validated using the eddy covariance methods. Climate change could lead to a significant increase in diversion water requirement. The increase in diversion water requirement was projected to reach + 43% during dry years, + 32% during normal years, and + 42% during wet years. A favorable reduction in diversion water requirement due to timely occurrence of rainfall was however observed at the site with distinct wet and dry season during dry years (up to − 7%), normal years (up to − 11%), and wet years (up to − 12%). The cropping patterns varied within and across climate types. The projected estimates of diversion water requirements generated in this study could be used for irrigation system planning and development particularly for assessing water storage requirements and design irrigable areas. Results could also be used as part of planning and design criteria for dams and reservoirs and thereby contribute to climate proofing of irrigation systems. The application of methods developed in this study for estimating diversion water requirements with the incorporation of climate change may be extended to other parts of the country and in other parts of the world for a more climate-resilient water resources planning.

Evaluation of irrigation adequacy in sugarcane systems in Eswatini

The adoption of objective irrigation scheduling approaches in the sugarcane industry has been very slow leading to over-irrigation, low water use efficiency, and consequently, low returns. With the widespread use of subjective scheduling, there is also a perception that there are no significant benefits derived from objective scheduling. A study was, therefore, conducted in Eswatini to determine the performance of irrigation systems that were using subjective irrigation scheduling. More specifically, the objective of the study was to determine the irrigation adequacy fora sugarcane crop that was under two overhead systems viz. centre pivot and sprinkler irrigation. Adequacy was determined in terms of relative irrigation supply (RIS) for the 2015/16 season. The CROPWAT 8.0 model was used to estimate crop demand in terms of net irrigation requirement, whilst the amount of water applied during the period was the supply. Seasonal RIS results indicated that the area under the centre pivot was slightly over-irrigated (RIS= 1.13), whilst irrigation in the area under the sprinkler system was found to be adequate (RIS= 0.94). MonthlyRIS values, however, revealed that the crop was over-irrigated most of the time. The crop under the centre pivot was over-irrigated for the months of January, June, July, September, November, and December as indicated by the RIS values of 1.17, 1.33, 1.20, 1.77, 3.35, and 15.09, respectively. Over-irrigation under the sprinkler system was observed in June, July, September, October, and November where the RIS was 1.36, 2.19, 2.91, 1.77, and 1.67, respectively. In both irrigation systems, over-irrigation was experienced at the germination and establishment phases of development. In contrast, all of the months with acceptable RIS values were found to be within the grand growth phase. It was, therefore, concluded that the scheduling approach used in the area was biased towards the grand growth phase. Hence, it was recommended that the irrigation schedule be modified to accommodate each of the different phases of sugarcane development.

Spatial variability of evapotranspiration and pressure on groundwater resources: remote sensing monitoring by crop type in the Bekaa plain, Lebanon

The lack of data on water consumption by agriculture in the context of climate change led the authors to estimate the water balance of the Bekaa Valley. Plots were mapped according to the normalized difference vegetation index profiles of spring and summer crop with the Sentinels-2 images. Surface energy balance model python (PYSEBAL) estimated the seasonal evapotranspiration (ETseason) and net irrigation requirements (NIRseason). Spring and summer crop maps were accurate: 90% and 93%. The results of PYSEBAL were validated by the comparison between averaged daily ET of PYSEBAL and FAO-56 method (root mean square error from 0.38 to 1.93 and the mean average error from 0.33 to 1.64 mm / day). The water balance was negative: 0.16 km3 of groundwater was extracted against 0.10 km3 of rainfall available for aquifer recharge in 2017. This is explained by ET/ha/season (alfalfa: 1094 mm / ha / season, orchards 881, corn 719, tobacco 606, cucumber 558, late potatoes 487, summer vegetables 483, early potatoes 467, vineyard 390, spring vegetables 237, and wheat 313). ETseason varies according to temperature (strong correlation between daily ET and temperature, Pearson: 0.74), relative humidity (Pearson: −0.65), surface radiation (Pearson: 0.75), and percentage of sand in the soil and its depth (strong negative Pearson: −0.62 and −0.57).

Performance of Spring and Summer-Sown Maize under Different Irrigation Strategies in Pakistan

Pakistan is facing severe water shortages, so using the available water efficiently is essential for maximizing crop production. This can be achieved through efficient irrigation practices. Field studies were carried out to determine the dynamics of soil water and the efficiency of water utilization for maize grown under five irrigation techniques (flood-irrigated flatbed, furrow-irrigated ridge, furrow-irrigated raised bed, furrow-irrigated raised bed with plastic mulch, and sprinkler-irrigated flatbed). Spring and summer maize was grown for two years. The Irrigation Management System (IManSys) was used to estimate the irrigation requirements, evapotranspiration, and other water balance components for this study’s different experimental treatments based on site-specific crop, soil, and weather parameters. The results showed that the flood irrigation flatbed (FIF) treatment produced the highest evapotranspiration, leaf area index (LAI), and biomass yield compared to other treatments. However, this treatment did not produce the highest grain yield and had the lowest water use efficiency (WUE) and irrigation water use efficiency (WUEi) compared to the furrow-irrigated raised-bed treatment. The furrow-irrigated raised bed with plastic mulch (FIRBM) treatment improved grain yield, WUE, WUEi, and harvest index compared to the flood irrigation flatbed (FIF) treatment. The results showed a strong correlation between measured and estimated net irrigation requirements and evapotranspiration, with high r2 values (0.93, 0.99, 0.98, and 0.98) for the spring- and summer-sown maize. It was concluded that the FIRBM treatments improved the grain yield, WUE, and WUEi, which ultimately enhanced sustainable crop production. The growing of summer-sown maize in Pakistan has the potential for sustainable maize production under the semiarid and arid climate.

Estimation Of Water Requirement Of Lycopersicon Esculentum Mill

Crop water requirements of Roma tomato that planted on different spacing for four treatment and its replications in Nyagatare district Kinihira village have been computed with CROPWAT 8.0 using the meteorological parameters. The water requirement was computed using evapotranspiration (ET0), effective rainfall, Net Irrigation demand, the Gross Irrigation demand and irrigation interval for crops grown in different treatment of different spacing have been computed. Based on the rainfall data, effective rainfall and soil characteristics of the experiment site, it was shown that the total net irrigation requirement of tomato in experiment site as presented in CROPWAT 8.0 is 286.2mm and the total gross irrigation requirement is 408.8mm.The total water loss during irrigation is obtained by taking the total gross irrigation requirement minus the total net irrigation requirement and found to be122.6mm. As per CROPWAT 8.0, Tomato water requirement in whole growing stages is 620.3mm .This total water required by tomato at experimental site was supplied to crop by rainfall as effective rainfall (211.5mm) and the remaining portion (408.8mm) was supplied to crop through irrigation. A wide spectrum of scenarios has been discussed in the paper along with the guidelines for future management of water resources.

Net zero carbon: Energy performance targets for offices

The UKGBC Net Zero Carbon Buildings Framework was published in April 2019 following an industry task group and extensive consultation process. The framework acts as guidance for achieving net zero carbon for operational energy and construction emissions, with a whole life carbon approach to be developed in the future. In consultation with industry, further detail and stricter requirements are being developed over time. In October 2019, proposals were set out for industry consultation on minimum energy efficiency targets for new and existing commercial office buildings seeking to achieve net zero carbon status for operational energy today, based on the performance levels that all buildings will be required to achieve by 2050. This was complemented by modelling work undertaken by the LETI network looking into net zero carbon requirements for new buildings. In January 2020 UKGBC published its guidance on the levels of energy performance that offices should target to achieve net zero and a trajectory for getting there by 2035. This paper describes the methodology behind and industry perspectives on UKGBC’s proposals which aim to predict the reduction in building energy intensity required if the UK’s economy is to be fully-powered by zero carbon energy in 2050. Practical application: Many developers and investors seeking to procure new commercial offices or undertake major refurbishments of existing offices are engaging with the ‘net zero carbon’ agenda, now intrinsic to the legislative framework for economic activity in the UK. A UKGBC initiative effectively filled a vacuum by defining a set of requirements including energy efficiency thresholds for commercial offices in the UK to be considered ‘net zero carbon’. This paper provides all stakeholders with a detailed justification for the level of these thresholds and what might be done to achieve them. A worked example details one possible solution for a new office.

Determination of Optimal Irrigation Scheduling for Maize (Zea Mays) at Assosa District, Benishangul Gumuz Regional State, Ethiopia

Knowing the appropriate time of irrigation and the amount of water applied to the crop is essential to increase yield and water productivity. There was no research activity which was conducted in Assosa district regarding to optimal irrigation scheduling of maize before this study. Therefore, this study was conducted to evaluate the response of maize to irrigation regime( when and how much) and determination of water productivity. Field experiments were conducted in two consecutive years. The experiment had five treatments which were, Soil moisture depletion levels (SMD1=60% of ASMDL, SMD2=80% of ASMDL, SMD3=100% of ASMDL,SDL4= 120% of ASMDL and SMD5= 140% of ASMDL) with RCBD experimental design. Reference evapotranspiration, crop water and net irrigation requirements were calculated. The results were indicated that yield and water productivity were significance at SMD3 or 100% available soil moisture depletion level of maize variety of BH-540. Hence applying irrigation water when the available soil moisture content reaches at critical depletion and 444.2mm total net depth of water was contributed. Keywords : Water requirement, Irrigation scheduling, Water productivity, Maize, Assosa DOI: 10.7176/JNSR/12-3-02 Publication date: February 28 th 2021

Determination of crop coefficient for chufa crop (Cyperus esculentus L. var. sativus Boeck.) for sustainable irrigation scheduling

Chufa is a traditional crop in L'Horta de València (Spain), a historical agricultural system that has been recognised in the register of Globally Important Agricultural Heritage Systems, managed by the Food and Agriculture Organization of the United Nations (FAO), and is one of the six protected Mediterranean and metropolitan horticultural fields as per the European Environment Agency. Chufa is a horticultural crop cultivated for its tubers. Our team has carried out different studies to improve the sustainability of chufa crop, particularly the efficiency of irrigation water use; however, the complete irrigation water requirements remain unknown. Therefore, the main aim of this study was to determine the crop coefficient values for chufa crop along its crop cycle using a smart field weighing lysimeter for three consecutive seasons and to determine its irrigation water requirements. The single crop coefficient values are 0.32, 1.40, and 0.80 for the initial stage, mid-season stage, and end of the late season stage, respectively for local conditions and 1.24 and 0.73 for mid- and late season stages, respectively for standard conditions. FAO segmented and second-order polynomial functions are presented to describe the crop coefficient evolution throughout the cycle, and could be used for irrigation scheduling and may lead to important water savings. The average seasonal net irrigation water requirement for chufa crop was approximately 640 mm, representing around 57% of the irrigation depth usually applied by chufa growers. The water savings that may be achieved by the adjustment of irrigation water with irrigation water requirements, using the crop coefficient, would improve, to a great extent, the sustainability of the L'Horta de València historical agricultural system, in view of the water scarcity resulting from climate change. This sustainable irrigation scheduling will improve the ecosystem indices, which have been altered by the application of over-irrigation, in the area.

Development of A Spatial Decision System for Irrigation Management

Spatial decision system provides a framework for integrating database management systems, analytical models, and graphics to improve the decision-making process from a farm-scale to a regional level. In this study, a graphical user interface for irrigation management has been developed with the support of a geographical information system (GIS) customization using Visual Basic for Application (VBA). Inverse distance weighted (IDW) method is employed to interpolate spatial inputs through an embedded environment provided by the GIS for customization with VBA technique. The developed Interface was used to analyze, simulate, handle, and integrate the irrigation management's spatial data. It can be used effectively from a farm-scale to a regional level and temporal data with interpolation techniques to generate thematic maps of rainfall, effective rainfall, reference evapotranspiration (ETo), crop evapotranspiration (ETc) using weather, crop, and soil data. The tool allows visualization of the spatial distribution of water requirements in the specified region and facilitates the localization of any discrepancies in water management, indicating whether interventions are required. Finally, interface was applied to estimate spatial irrigation water requirement to provide output, i.e., spatial maps of rainfall, effective rainfall, daily ETo, daily ETc, and net irrigation requirement (NIR). ETo was higher at Bhopal, Tikamgarh and Jhansi and lowered at Raisen and Sagar. The generated NIR map shows that the area nearby Khurai station has a higher irrigation requirement. On the other hand, the area covered by Begumganj, Sironj, Tikamgarh, and Banda has lower irrigation requirements. This information may help irrigation management's decision-making from a farm-scale to a regional level in the Betwa River Basin, India.

Dynamics of the Variability of Heat and Moisture Supply Indicators and Irrigation Norms in the Сonditions of the Astrakhan Region

During the scientific researches, scientific and methodological recommendations have been developed for determining the irrigation norms of crops for years with different water balance deficit availability, including a method for assessing and zoning a territory according to the coefficient of natural heat and moisture supply (moisture index) Mi, calculation models for rationing irrigation taking into account territorial and temporal variability, irrigation requirements for main crops, differentiated by natural and climatic zones within the Astrakhan Region. Based on statistical research and mathematical analysis of the main climatic indicators - air temperature and precipitation, trends and the degree of change in these indicators were investigated and identified according to observation data, as well as rational ecologically balanced regimes of irrigation of crops in the Astrakhan Region were calculated. According to the research results, based on the developed methodology, net irrigation requirements (mm) were calculated for the main forage and vegetable crops in years of different humidity (supply), taking into account the climatic zones identified by the moisture index (Mi) in the Astrakhan Region.

Assessment of Crop Water Requirement for Various Crops in Peshawar, Pakistan Using CROPWAT Model

Water is an important input for agriculture so that this valuable resource is designed properly and deliverable. Reasonable information on evapotranspiration, crop water requirements, and net irrigation requirements is required for effective planning of this resource. Present research intentions to calculate the Crop Water Requirement for the various crop in the Peshawar district using CROPWAT 8.0 model. Crops in the area of study comprise wheat, sorghum, and millet. The climate data (rainfall, maximum temperature, minimum temperature, hours of sunshine, wind speed, and humidity) was obtained from Regional Meteorological Center, Peshawar. The soil and crop data were obtained from Food and Agriculture Organization for the above-mentioned crops. The reference evapotranspiration, crop water requirement, effective rainfall, and irrigation water requirement were calculated via the CROPWAT model. The study evident that for crops grown in the area the irrigation water requirement is desired to fulfill crop water requirements since effective rainfall is not enough to encounter the crop water requirement.