CLIMATE, SUGAR YIELDS AND IRRIGATIOPT RESPONSE IN QUEENSLAND
|
|
- Laurence Harris
- 6 years ago
- Views:
Transcription
1 1970 THIRTY-SEVENTH CONFERENCE CLIMATE, SUGAR YIELDS AND IRRIGATIOPT RESPONSE IN QUEENSLAND By B. J. WHITE Department of Primary Industries, Brisbane Summary Sugar yields over the period have been analysed as a function of rainfall in ten predominantly non-irrigated mill areas along the Queensland coast. The analysis used a monthly water-use model with the ratio of potential evapotranspiration to Class A pan evaporation increasing from approximately 0.6 in September to 1.1 in February and March and decreasing to 0.8 in June. In the lower rainfall and higher yield variability areas of North Eton, Isis and Maryborough the yield response to water use varied over the September to June period with maximum values in the January to April period. At North Eton, for example, maximum water use efficiency was 0.2 tons of sugar per inch in February and March compared to values less than 0.1 in other periods. It is postulated that water use efficiencies are related to temperature and radiation. In situations where water supplies are limited, it is suggested that irrigation practice based on yield response related to time of application, rather than total irrigation application, could result in considerable economies in the quantity of irrigation applied, while maintaining yields. More detailed weekly water use models could be developed to determine the economic optimum irrigation application. Introduction As a consequence of several disastrous drought years during the last decade, the State Government has conducted feasibility studies of major irrigation schemes costing $87 million in the Bundaberg and Mackay sugar cane regions. The Department of Primary Industries has been involved in the economic aspects of these schemes and engineering investigations have been done by the Irrigation and Water Supply Commission. The importance of irrigation in most sugar cane areas has been increasingly recognized. Over the last twenty years, the percentage of the total sugar cane area irrigated has increased from 14 per cent to 24 per cent. Sugar cane at present accounts for 40 per cent of the total area of all crops irrigated in Queensland. In the economic analysis of a major irrigation scheme the most important factor is the yield response for a given quantity and capital cost of irrigation water. Although considerable data are available on yields with irrigation, there were generally little available data on quantities of irrigation water applied. To determine quantitative relationships between water use and yields, analyses were made of dryland yields in relation to rainfall. The concepts have been used in an extended study of climatic factors influencing yields in ten predominantly dryland mill areas along the Queensland Coast.
2 58 THIRTY-SEVENTH CONFERENCE 1970 Climate Bieske (1967) and Ham (1969) have illustrated the dependence of growth rate as measured by stalk elongation on mean daily temperature. Ham showed negligible growth below 75 F whereas growth rates recorded by Bieske showed a linear response above 70 F. However, it has been shown that the slope of the relationship between dry-matter production and temperature is related to radiation receipts (Anon., 1964). Using monthly mean temperature data (Bureau of Meteorology, 1956), the length of the growing season for five centres along the Queensland coast has been calculated from the number of months with mean temperatures exceeding 70 F. The data are presented in Table I. The summation of degree days above 70 F are also presented and provide an index of growth potential. Because of the importance of radiation, Wang (1963) has suggested the use of an energy-degree unit which is the product of degree days and radiation. The total of this index calculated on a monthly basis for the growing season is presented in Table I. Radiation was estimated from monthly maps for Australia (Bureau of Meteorology, 1964). The data of Table I show a considerable decrease in growth potential, as determined by temperature and radiation, in the southern areas where standover two year crops are often grown. Although the Burdekin is slightly inferior to the wet tropical coast in terms of degree days, it is superior when radiation is taken into account. The lower radiation on the wet tropical coast is a result of increased rainfall and cloud cover. Methods 1. Water Use Models: Analysis of plant growth requires consideration of both the evaporative demand for moisture and moisture supply as determined by rainfall and irrigation. The C.S.I.R.O. Division of Land Research as illustrated by Fitzpatrick (1965) has developed water-use models using weekly rainfall and evaporation data to produce a soil moisture storage budget. The models have been used in a wide range of agricultural and hydrological situations. In limited application to sugar cane, the model has proved useful in determining relationships between rainfall and yields (White, 1969). Similar results, although not as precise, can be obtained by using a simple monthly water use analysis with no allowance for storage and this approach has been adopted. When more data are available on the water TABLE I-Climatic indices for five regions Note: (I) Climatic data are the mean of Cairns and Innisfail. (2) Climatic data are for Ayr. (3) Climatic data are for Brisbane.
3 1970 THIRTY-SEVENTH CONFERENCE 59 relations of cane in different environments a more detailed model incorporating temperature could be used. 2. Evapotranspiration Data: Under Queensland conditions, Yates (1964) and Ham (1969) have published data on evapotranspiration of sugar cane as determined from lysimeter studies at Fairymead and the Burdekin respectively. Both studies have shown that the ratio (the "f' factor) of potential E (Evapotranspiration) to water evaporation varies over the growing season. However, there are several difficulties involved in extrapolating lysimeter data to field conditions. As Penman (1963) states, "there is no field of open air research in which edge effects can be as important as in evaporation studies". He further states that for a circular test area, diameter d, projecting height h above its surroundings, the additional area intercepting radiation as a fraction of the test area is 4hld. Thus, a cane crop 10 ft high would need a test area of 160 ft diameter to reduce additional radiation to 25 per cent. Yates (1967) suggested that the high E rates and "f" factors obtained in his lysimeter experiment were probably influenced by high levels of advective energy. Yields for the Burdekin lysimeter of the equivalent of over 10 tons of sugar per acre may be related to the buffer area of 35 feet increasing radiation to levels not possible under field conditions. The "f' factors determined by Yates were based on an estimate of open water evaporation, although Australian tank evaporation data were also recorded. The Burdekin used a Class A pan. Yates' "f' factors were adjusted to a Class A pan basis using a relationship between Class A pan and Tank evaporation. The ratio used of Class A pan to Tank evaporation varied from 1.4 in mid-summer to 1.1 in mid-winter. This ratio was based on comparisons at Mackay for a four year period. On a comparable basis, there is a close agreement between the "f' factors derived for Fairymead and the Burdekin. The "f" factor increases from about 0.7 in September to a maximum of 1.2 in January, February, March and declines to 0.9 in July. It is probable that the "f' factor is an TABLE Il-Rainfall and yield data for mill areas Note: (I) Determined from mean yield over period adjusted for trend per year. (2) Excluding variation due to time trend over period
4 60 THIRTY-SEVENTH CONFERENCE 1970 increasing function of the height of the crop and a combination of temperature and radiation, i.e. it is environment dependent. To determine monthly potential E rates for field conditions, where advective energy is considered to have less effect, the above "f' factors were reduced by approximately 15 per cent. The "f' factors used increased from 0.6 in September by 0.1 per month to 1.1 in February and March and decreased to 0.8 in June by 0.1 per month. The monthly "f' factors and the relationship between Class A pan and Tank evaporation were applied to evaporation figures estimated from monthly Tank evaporation maps (Bureau of Meteorology, 1966) to derive monthly potential E. 3. Water Use: Water use (actual E ) was calculated for each month by assuming that all monthly rainfall up to potential E equals water use. Rainfall above potential E is considered to be surplus-either deep percolation or runoff. The monthly modei does not allow explicitly for effects of soil moisture storage on water use. Comparisons for Childers, using a weekly water use model with E related to soil moisture storage (maximum of four inches), showed that total annual average water use for a 25 year period was three per cent less for the monthly model. Thus, errors tend to cancel out when water use is aggregated on an annual basis. Preliminary analyses indicated that water use variations outside the period September to June had no statistically significant effects on final yield. The September to June period was adopted for all centres. In more complex models, the growing season as determined by temperature and radiation (including advective energy related to crop height) could be used. As the response to water use varied seasonally, monthly water use was totalled for four periods: September to November, December- January, February-March, April to June. 4. Yield Data: Average mill-area sugar yields for ten mills with negligible irrigation were hsed for the period For North Eton and Isis, dryland yield data were available for the past few years when irrigation has had significant effect on mill averages. The mills listed in Table I1 cover a wide range of rainfall regimes from 142 inches per year at Innisfail to 43 inches at Childers. Multiple regression analysis was used to determine yields as a function of six factors: water use for the four periods September to June, total surplus and time. Results Average yields, coefficients of variation and yield trends with time, obtained from the regression analysis, are listed in Table 11. All mill areas with the exception cf Isis showed significant upward trends in yields over the period analysed. The mean surplus figures for the September to June period are listed in Table 11. Surplus in July-August is negligible and the figures can be taken as annual surplus. The data show surplus increasing, as rainfall and the summer concentration of rainfall increase. As the surplus proportion of rainfall increases, the water use proportion declines. From the coefficient of variation figures in Table 11, it is apparent that the relative variation in yields is greatest at Isis and at North Eton.
5 THIRTY-SEVENTH CONFERENCE 6 1 Assuming that climatic factors, especially rainfall deficiencies, are the major factor affecting yields, then irrigation could be expected to be of most importance in areas with high yield variation. Water use coefficients from the regression analysis are listed in Table 111. Significant responses were generally obtained only in the lower rainfall and higher yield variation areas. Rocky Point is an exception and this is probably related to water table effects. It is emphasized that the results relate water use over the growing season to final yield and are not a measure of actual sugar accumulation per inch in each period. The R* (CoeBcient of Determination) values in Table I11 are all significant at the one per cent level. For North Eton with the highest R2 value of 0.84, the standard error of yield estimates is 0.41 and thus the analysis in its present form is not particularly useful for yield prediction. A more precise weekly water use model would be useful for yield prediction. During the December to March period when the yield response is at a maximum, the higher rainfall areas have relatively small variations in water use and the analysis is not able to determine the effect. At Racecourse and Plane Creek, water use has significant effects on yield in the February to March period. In other periods, variations in water use have not had a measurable effect on yields. There is no obvious explanation for the negative effect of water use on yield for Moreton from September to November. Rainfall from September to'november at Nambour is higher than for any other sugarcane area in Queensland and the effect could be related to delays in harvesting the previous year's crop. A similar effect has been demonstrated at Babinda (Leverington, 1969). Rainfall surplus has had a negative effect on yields at Goondi and North Eton. For average surpluses of 89 inches and 21 inches respectively, the average reductions in yield are 0.56 tons at Goondi and 0.39 tons at North Eton. The relative importance of a regression coefficient in terms of effects on yields depends on the variation of water use for each period. Standard partial regression coefficients, which show the relative importance of the factors, have been calculated for the centres having more than one significant water use coefficient. The values are listed in Table IV. To test the sensitivity of the regression coefficients to varying potential E rates, rates appraximately 15 per cent higher and lower were tested for North Eton. The general effect was to decrease the coefficients for higher E rates and vice versa. The effect was only TABLE Ill--Significant regression coefficients-tons of sugar per inch Note: (I) For all significant factors including time trend if applicable. (2) Significant at 10% level.
6 62 THIRTY-SEVENTH CONFERENCE 1970 major for the February-March period when, for the lower rate, the response increased to 0.24 tons per inch and, for the higher rate, the figure was 0.16 compared to at the adopted E rates. There were no differences in statistical fit for the three models. The changes in the coefficients are as would be expected when the ceiling effect of potential E is considered. The regression coefficients for North Eton, Maryborough and Isis are shown graphically in Figure 1. A large increase in water use efficiency, i.e. tons of sugar per inch water use, is apparent in February and March for North Eton and Maryborough (standard errors for all regression coefficients used in Figure 1 are in the vicinity of 0.3). A reason for the early peak for Isis is not apparent as Isis and Maryborough have a similar climate. The major soil difference is the steeper slopes and soil erosion at Isis. For North Eton and Maryborough, the peak in water use efficiency occurs later than the mid-summer peak in temperature and radiation and coincides with the rainfall peak. As crop height increases, the contribution of advected energy could be expected to increase and maximum energy receipts may occur later than indicated by unit area data. The water use efficiency curve is of similar shape to the "f' factor curve. However, it is not caused by the "f' factors adopted in the study. With constant "P' factors over the growing season, the peak in the water use efficiency curve would be more exaggerated. Bieske (1968), using weekly water use models in the Bundaberg area, has generally confirmed a much greater response to water use in the January to June period compared to July to December. Calculations from data published by Ham (1969) for the Burdekin lysimeter show a similar peak to the above in term of actual cane growth rates over the growing season. On the basis of 0.1 ton of final yield of sugar per inch stalk length, the response increased from 0.1 tons in October to 0.2 tons in December declining to 0.08 tons in June. The earlier peak could be associated with more rapid early growth rates compared to field conditions as sugar yields were the equivalent of over 10 tons per acre. It is postulated that the water use efficiency curve over the cane growing season varies with the temperature and radiation environment. For example, the difference between North Eton and Maryborough in Figure 1 could be related to slightly higher temperatures and radiation at North Eton. Response to Irrigation It has traditionally been assumed that most crops have a unique water requirement to produce a maximum yield. However, crop responses to water at different stages of growth vary and in terms of final yield, the time of application is as important as quantity applied. Lysimeter experiments have shown that the maximum yield is not a TABLE IV-Standard partial regression coefficients-tons of sugar per inch
7 THIRTY-SEVENTH CONFERENCE precise figure. When unlimited water is available to a crop, the maximum yield is then determined by temperature and radiation factors assuming fertility adjustments. Ham (1969) states that yield responses of 1.0 to 1.1 ton of cane per inch have been consistently achieved in Natal, Hawaii and Bundaberg. The Burdekin lysimeter response in was 1.21 tons of cane per inch. These responses are equivalent to about 0.15 tons of sugar per inch. The weighted average responses recorded in Figure 1 vary from 0.10 to 0.13 tons of sugar per inch. Irrigation experiments with sugar cane have generally had irrigation scheduled at fixed percentages of evaporation, or at fixed moisture stress levels, so that differential responses over the growing season have not been apparent. However, Yates (1967) concluded that cane should be irrigated at 33 per cent of cane E (lysimeter values) until the cane reaches 5 ft to the top of the canopy. Thereafter, maximum growth was at 100 per cent of cane E. In areas of Queensland where sugar cane is irrigated, underground water supplies are generally at full or over development and quantities available for irrigation are generally limited. Also, the introduction of community irrigation schemes will result in a fixed allocation. Under these conditions, to maximize returns, consideration must be given to the time of application of irrigation. Figure 1 indicates that greater responses are possible by largely restricting irrigation to the January to April period. This assumes average conditions in preceding months. Obviously, the crop has to be advanced to a sufficient stage to utilize irrigation efficiently after January and, in some areas, spring irrigation may be required to guarantee ratooning. A qualifying factor to irrigation during the December to April period is the greater probability of rain in excess of E requirements over this period. Generally, as rainfall increases, rainfall surplus to E increases. For example, at Maryborough where annual rainfall is 46 inches, the monthly water use study gave a mean surplus of 10 inches com ared to a surplus of 21 inches at North Eton where the annual rain P all is 53 inches. Part of this difference is due to the higher summer proportion at North Eton. However, it is obvious that irrigation at North Eton will increase water use less than at Bundaberg. Also, for a given location, the response to a fixed irrigation application will be greater in a dry year compared to a wet year. 02 & = G; I g! 0, C i I" 00 Sbpt W NW Dtc Jan F& March April May Jw. MONTH Fig. I--Water use efficiency over the sugar cane growing season.
8 64 THIRTY-SEVENTH CONFERENCE 1970 At North Eton in January, rainfall is less than 4.5 inches in 30 per cent of years compared to the estimated E requirement of 8 inches. Thus, in many years, the potential response to irrigation at 0.15 tons per inch is high. However, the median rainfall is 8.8 inches and there is thus a high probability of rainfall in excess of E requirements. The proportion of irrigation applied, manifested as water use, must inevitably decline as amounts of irrigation increase and total water use approaches potential E. Irrigation is thus subject to decreasing returns. Flinn and Musgrave (1967) have developed a dynamic model for the analysis of the input-output relations of irrigation water based on productivity related to time of application. This model could be developed using a refined weekly water use model to derive the economic optimum irrigation policy for a given rainfall regime and irrigation application. An additional factor that could be allowed for is the decline in marginal revenue when farm production peaks are exceeded. An analysis on the above lines could result in considerable water economies in areas such as the Burdekin and Bundaberg where the underground water situation is critical. Acknowledgments The co-operation of the Bureau of Meteorology, the Bureau of Sugar Experiment Stations and the Cane Prices Board in supplying climatic and production data is acknowledged. REFERENCES Anon, (1964). Report of the David North Plant Research Centre. The Colonial Sugar Refining Company Limited. Bieske, G. C. (1967). Response to irrigation at Fairymead. Proc. Qd. Soc. Sug. Cane Technol., thirty-fourth Conf., Bieske, G. C. (1968). ~r'lvate communication, Fairymead, Bundagerg. Commonwealth Bureau of Meteorology (1956). Climatic Averages, Australia. Melbourne. Commonwealth Bureau of Meteorology (1964). Australia, Average Monthly Total Radiation. Melbourne. Commonwealth Bureau of Meteorology (1966). Australia, Average Evaporation in Inches (Australian Sunken Tank). Melbourne. Fitzpatrick, E. A. (1965). Climate in Relation to Pasture and Crop Growth, Part 11, Fitzroy Region, Queensland. Resources Series, Department of National Development, Canberra. Flinn, J. C. and Musgave, W. F. (1967). Development and analysis of input-output relation for irrigation water. Aust. J. Ag. Econ., 11, Ham, G. J. (1969). Water requirements of sugar cane. Water problems in tropical Queensland, Water Research Foundation of Australia, Symposium, Townsville, August Leverington, K. C. (1969). Division of Soils and Agronomy. 69th Annual Report of the Bureau of Sugar Experiment Stations, Brisbane. Penman, H. L. (1963). Vegetation and hydrology, -. Tech. Comm. No. 53. Commonwealth Bureau of Soils, C.A.B. Wang, J. Y. (1963). Agricultural Meteorology. Pacemaker Press, Wisconsin. White, B. J. (1969). Water use, response to irrigation and increased vroduction from the scheme. Appendix D, water conserqation, underground -water supplies and irrigation-bundaberg region. Department of Primary Industries, Irrigation and Water Supply Commission, Queensland. Yates, R. A. (1964). Evapotranspiration of sugar cane in southern Queensland related to grass evapotranspiration, water evaporation and meteorological data. Proc. Qd. Sug. Cane Technol., thirty-first Conf., Yates, R. A. (1967). Studies on the irrigation of sugar cane. Aust. J. Agric. Res., 18,
Factors affecting the sugar content of sugar cane in the wet tropics of Queensland: statistical analysis of ccs data at Babinda and Tully
Sugar Research Australia Ltd. elibrary Completed projects final reports http://elibrary.sugarresearch.com.au/ Milling Efficiency and Technology 1972 Factors affecting the sugar content of sugar cane in
More informationNitrate leaching under sugarcane: interactions between crop yield, soil type and management strategies
Nitrate leaching under sugarcane: interactions between crop yield, soil type and management strategies K. Verburg 1, B.A. Keating 2, M.E. Probert 2, K.L. Bristow 1 and N.I. Huth 2 1 CSIRO Land and Water,
More informationSUGARCANE IRRIGATION SCHEDULING IN PONGOLA USING PRE-DETERMINED CYCLES
SUGARCANE IRRIGATION SCHEDULING IN PONGOLA USING PRE-DETERMINED CYCLES N L LECLER 1 and R MOOTHILAL 2 1 South African Sugar Association Experiment Station, P/Bag X02, Mount Edgecombe, 4300, South Africa.
More information5.5 Improving Water Use Efficiency of Irrigated Crops in the North China Plain Measurements and Modelling
183 5.5 Improving Water Use Efficiency of Irrigated Crops in the North China Plain Measurements and Modelling H.X. Wang, L. Zhang, W.R. Dawes, C.M. Liu Abstract High crop productivity in the North China
More informationRESPONSE OF CORN TO DEFICIT IRRIGATION
RESPONSE OF CORN TO DEFICIT IRRIGATION AND CROP ROTATIONS N. L. Klocke, J. O. Payero, J. P. Schneekloth The authors are Norman L. Klocke, Professor, Kansas State University, Southwest Research Extension
More informationINCREASED FURROW IRRIGATION EFFICIENCY THROUGH BETTER DESIGN AND MANAGEMENT OF CANE FIELDS
INCREASED FURROW IRRIGATION EFFICIENCY THROUGH BETTER DESIGN AND MANAGEMENT OF CANE FIELDS S R Raine* and D Bakker** *Faculty of Engineering and Surveying, USQ, Toowoomba. Formerly BSES, Ayr. **CSR Ltd.,
More informationDETERMINING CROP MIXES FOR LIMITED IRRIGATION
DETERMINING CROP MIXES FOR LIMITED IRRIGATION Joel P. Schneekloth Dennis A. Kaan Reg. Water Resource Spec. Reg. Ag. Economist Colorado State Univ. Colorado State Univ. Akron, Colorado Akron, Colorado Voice:
More informationIrrigating for Maximum Economic Return with Limited Water
DigitalCommons@ Historical Materials from University of Nebraska- Lincoln Extension Extension 1-1-1 Irrigating for Maximum Economic Return with Limited Water Richard T. Clark, rclark3@unl.edu Norman L.
More informationCLIMATE CHANGE WILL IMPACT THE SUGARCANE INDUSTRY IN AUSTRALIA
SHORT NON-REFEREED PAPER CLIMATE CHANGE WILL IMPACT THE SUGARCANE INDUSTRY IN AUSTRALIA SEXTON JD 1, EVERINGHAM YL 1, INMAN-BAMBER NG 2 AND STOKES C 3 1 School of Engineering and Physical Sciences, James
More informationTHE IMPORTANCE OF DIFFERENT TYPES OF CAPITAL INVESTMENT ON BEEF PROPERTIES IN QUEENSLAND
THE IMPORTANCE OF DIFFERENT TYPES OF CAPITAL INVESTMENT ON BEEF PROPERTIES IN QUEENSLAND C. P. HAMILTON* and W. O. MCCARTHY Summary Statistical analysis of time series data in the southern spear grass
More informationIRRIGATION SCHEDULING OF ALFALFA USING EVAPOTRANSPIRATION. Richard L. Snyder and Khaled M. Bali 1 ABSTRACT
IRRIGATION SCHEDULING OF ALFALFA USING EVAPOTRANSPIRATION Richard L. Snyder and Khaled M. Bali 1 ABSTRACT This paper describes the Irrigation Scheduling Alfalfa (ISA) model, which is used to determine
More informationC.P.M. Sweet and M.R. Boast
YELD PATTERNS AS AN AD TO EVALUATE PERFORMANCE ON A COMMERCAL SUGARCANE ESTATE N SWAZLAND C.P.M. Sweet and M.R. Boast Simunye Sugar Estate P.O. Box 1, Simunye, Swaziland ABSTRACT Agronomy n Southern Africa,
More informationIrrigation Practice as it Affects Fertilizer Requirement, Quality and Yield of Sugar Beets 1
Irrigation Practice as it Affects Fertilizer Requirement, Quality and Yield of Sugar Beets 1 D. BOYD ARCHIBALD AND JAY L. HADDOCK 2 Approximately 85 percent of the sugar beet acreage in the United States
More informationAssessing Real Time - Drainage Water Management
Assessing Real Time - Drainage Water Management Jim Klang, PE Kieser & Associates, LLC 536 East Michigan Ave / Suite 300, Kalamazoo, MI 49007 (269) 344-7117 Photo Credit: Purdue Engineering Today s Talk
More informationYield responses to breaking the sugarcane monoculture. M.J. Bell 1, A.L. Garside 2, N.V. Halpin 3 and J.E. Berthelsen 2 ABSTRACT
Yield responses to breaking the sugarcane monoculture M.J. Bell 1, A.L. Garside 2, N.V. Halpin 3 and J.E. Berthelsen 2 1 QDPI, Kingaroy Qld. 2 BSES, Townsville Qld. 3 QDPI, Bundaberg Qld. ABSTRACT Yield
More informationNutrition of Horticultural Crops Measurements for Irrigation. Lincoln Zotarelli Horticultural Sciences Department University of Florida Spring 2015
Nutrition of Horticultural Crops Measurements for Irrigation Lincoln Zotarelli Horticultural Sciences Department University of Florida Spring 2015 Principles of plant nutrition Principle 1. Plants take
More informationThe Effect of Climate on Sugar Beet Yields In Western Montana
The Effect of Climate on Sugar Beet Yields In Western Montana EDWARD L. SWIFT and FRANK A. CLELAND 1 The relationship of climate and its effect on the sugar beet crop has received attention and study by
More informationEstimating water needs of alfalfa and using ET to schedule Irrigation
Estimating water needs of alfalfa and using ET to schedule Irrigation D. Zaccaria, R. Snyder, D. Putnam, A. Montazar, C. Little DWR-Funded Project (2014-2017) aiming at Developing updated information on
More informationVariability in weather: what are the consequences for grazing enterprises? Libby Salmon and John Donnelly
74 Variability in weather: what are the consequences for grazing enterprises? Libby Salmon and John Donnelly CSIRO Plant Industry, GPO Box 1600, Canberra, ACT 2601 Email: libby.salmon@csiro.au Abstract
More informationSimulation of Potential Growth of Sugarcane in the Dry Zone of Sri Lanka
Simulation of Potential Growth of Sugarcane in the Dry Zone of Sri Lanka K. Sarunuganathan and G.C.L. Wyseure 1 Sugarcane Research Institute Uda Walawe. ABSTRACT. A crop growth model was developed to simulate
More informationGRAIN SORGHUM PRODUCTION as an Alternative Land Use ON MOLOKAI
GRAIN SORGHUM PRODUCTION as an Alternative Land Use ON MOLOKAI Peter V. Garrod College of Tropical Agriculture Hawaii Agricultural Experiment Station University of Hawaii Departmental Paper 7-March 1973-2.SM
More informationYEAR TO YEAR VARIATIONS IN CROP WATER USE FUNCTIONS
Proceedings of the 27th Annual Central Plains Irrigation Conference, Colby, Kansas, February 17-18, 215 Available from CPIA, 76 N.Thompson, Colby, Kansas YEAR TO YEAR VARIATIONS IN CROP WATER USE FUNCTIONS
More informationComparison of measured soil moisture deficits with estimates by MORECS
The influence of man on the hydrological regime with special reference to representative and experimental basins L'influence de l'homme sur le régime hydrologique avec référence particulière aux études
More informationSUMMER DROUGHT: CAUSE OF DIEBACK IN PERENNIAL RYEGRASS SEED FIELDS?
SUMMER DROUGHT: CAUSE OF DIEBACK IN PERENNIAL RYEGRASS SEED FIELDS? T.G. Chastain, T.M. Velloza, W.C. Young III, C.J. Garbacik and M.E. Mellbye Introduction. The cause of dieback, a form of premature stand
More informationWATER SAVINGS FROM CROP RESIDUE MANAGEMENT
Proceedings of the 21 st Annual Central Plains Irrigation Conference, Colby Kansas, February 24-25, 2009 Available from CPIA, 760 N.Thompson, Colby, Kansas WATER SAVINGS FROM CROP RESIDUE MANAGEMENT Norman
More informationWater Resources Engineering. Prof. R. Srivastava. Department of Water Resources Engineering. Indian Institute of Technology, Kanpur.
Water Resources Engineering Prof. R. Srivastava Department of Water Resources Engineering Indian Institute of Technology, Kanpur Lecture # 13 Today we will continue to discuss some of the abstractions
More informationIrrigation ABSTRACT INTRODUCTION .I,
.I, Irrigation LAND GRADING FOR SURFACE IRRIGATION OF SUGARCANE T. Chinloy The Sugar Manufacturers' Association (of Jamaica) Ltd. Jamaica, W.I. and J. A. Kelly The Nigerian Sugar Co., Ltd. Nigeria ABSTRACT
More information- Fielddata 6. CONSUMPTIVE USE
. CONSUMPTIVE USE.1. INTRODUCTION During the cultivation period following leaching the quantities of irrigation water and the amounts discharged by the drains were measured in connection with the experimental
More information1 THE USGS MODULAR MODELING SYSTEM MODEL OF THE UPPER COSUMNES RIVER
1 THE USGS MODULAR MODELING SYSTEM MODEL OF THE UPPER COSUMNES RIVER 1.1 Introduction The Hydrologic Model of the Upper Cosumnes River Basin (HMCRB) under the USGS Modular Modeling System (MMS) uses a
More informationSimplified Forms of Surface Runoff Estimation Method for Silt- Loam Soils Suat Irmak, Soil and Water Resources and Irrigation Engineer, Professor
EC3016 Index: Crops, Irrigation Engineering Issued April 2017 Simplified Forms of Surface Runoff Estimation Method for Silt- Loam Soils Suat Irmak, Soil and Water Resources and Irrigation Engineer, Professor
More informationThe influence of hydroclimate on the hydrological impact of bushfires in southeast Australia
The influence of hydroclimate on the hydrological impact of bushfires in southeast Australia Notes prepared by Francis Chiew, University of Melbourne, CRC for Catchment Hydrology Hydroclimate variability
More informationMOST PROFITABLE USE OF IRRIGATION SUPPLIES: A CASE STUDY OF A BUNDABERG CANE FARM
MOST PROFITABLE USE OF IRRIGATION SUPPLIES: A CASE STUDY OF A BUNDABERG CANE FARM L.E. BRENNAN 1, S.N. LISSON 1,2, N.G. INMAN-BAMBER 1,2, A.I. LINEDALE 3 1 CRC for Sustainable Sugar Production James Cook
More informationYIELD PERFORMANCE OF SOUTH AFRICAN SUGARCANE VARIETIES IN PLANT CANE TRIALS AT NCHALO SUGAR ESTATE, MALAWI
YIELD PERFORMANCE OF SOUTH AFRICAN SUGARCANE VARIETIES IN PLANT CANE TRIALS AT NCHALO SUGAR ESTATE, MALAWI M M ISYAGI and M W WHITBREAD Illovo Sugar, Nchalo Estate, P/Bag 50, Blantyre, Malawi E-mail: misyagi@illovo.co.za
More informationQureshi, M.E., Charlesworth, P.G., Bristow, K.L. and Wegener, M.K. Proc. Aust. Soc. Sugar Cane Technol., Vol. 24, 2002
PROFITABILITY OF GROWING SUGARCANE UNDER ALTERNATIVE IRRIGATION SYSTEMS IN THE BURDEKIN DELTA By 1 M.E. QURESHI, 1,2 P.B. CHARLESWORTH, 1,2 K.L. BRISTOW and 3 M.K. WEGENER 1 CRC Sugar, James Cook University,
More informationThe Coalition s Policy
The Coalition s Policy Key Commitments Water infrastructure is essential to population growth, sustainable communities, jobs, productivity, and stronger economic outcomes. Every community and industry
More informationThe Performance of Beef Cattle in North Queensland
The Performance of Beef Cattle in North Queensland By J. N. SHELTON* SUMMARY s TUDIES of the liveweight gains of beef cattle have been undertaken at several places in North Queensland. These have included
More informationCity of River Falls North Kinnickinnic River Monitoring Project Summary. Report prepared by SEH Inc., for the
City of River Falls North Kinnickinnic River Monitoring Project 2012 Summary Report prepared by SEH Inc., for the City of River Falls Engineering Department December 2012 Project Introduction: City of
More informationEstimation of irrigation water requirement of maize (Zea-mays) using pan evaporation method in maiduguri, Northeastern Nigeria
March, 2011 Agric Eng Int: CIGR Journal Open access at http://www.cigrjournal.org Vol. 13, No.1 1 Estimation of irrigation water requirement of maize (Zea-mays) using pan evaporation method in maiduguri,
More informationInterpreting Nitrate Concentration in Tile Drainage Water
Agronomy Guide AY-318-W SOILS (TILLAGE) Sylvie Brouder, Brenda Hofmann, Eileen Kladivko, Ron Turco, Andrea Bongen, Purdue University Department of Agronomy; Jane Frankenberger, Purdue University Department
More informationSUGARCANE VARIETIES SUITABLE FOR SANDY SOILS IN MPUMALANGA
SUGARCANE VARIETIES SUITABLE FOR SANDY SOILS IN MPUMALANGA SPAULL V W 1, CADET P 2 and BERRY S 1 1 South African Sugarcane Research Institute, Private Bag X02, Mount Edgecombe, 4300, South Africa Vaughan.spaull@sugar.org.za
More informationThe Future of Irrigated Agriculture: Where's the Water?
The Future of Irrigated Agriculture: Where's the Water? California Colloquium on Water UC Berkley February 9 th 2010 David F. Zoldoske, Director Center for Irrigation Technology California State University,
More informationAttard, S.J., Inman-Bamber, N.G. and Engelke, J. Proc. Aust. Soc. Sugar Cane Technol., Vol. 25, 2003
IRRIGATION SCHEDULING IN SUGARCANE BASED ON ATMOSPHERIC EVAPORATIVE DEMAND By S.J. ATTARD 1,4, N.G. INMAN-BAMBER 2,4 and J. ENGELKE 3 1 CSIRO Sustainable Ecosystems, Kalamia Mill, Ayr, Qld 2 CSIRO Sustainable
More informationRain Partitioning in a Low Elevation Tea Field in Sri Lanka
Rain Partitioning in a Low Elevation Tea Field in Sri Lanka N. P. S. N.Bandara Tea Research Institute of Sri Lanka Ian K. Nuberg University of Adelaide, Australia W. A. J. M. de Costa University of Peradeniya,
More informationStrategies to Maximize Income with Limited Water
Strategies to Maximize Income with Limited Water Tom Trout Research Leader, Agricultural Engineer USDA-ARS Water Management Research Unit Ft. Collins, CO 970-492-7419 Thomas.Trout@ars.usda.gov The best
More informationThe Sugarcane: An Agriculture Aspect
Chapter 2 The Sugarcane: An Agriculture Aspect 2.1 Introduction Sugarcane growing countries of the world are lying between the latitude 36.70 0 north and 31.00 0 south of the equator extending from tropical
More informationClimate Change Water Implications for Michigan Communities, Landsystems and Agriculture
Climate Change Water Implications for Michigan Communities, Landsystems and Agriculture Distinguished Senior Research Specialist Department of Geography Institute of Water Research Climate Change Summary
More informationFinal Report to Delaware Soybean Board
Final Report to Delaware Soybean Board Submitted January 14, 2015 (e-mail) Received January 14, 2015 Delaware Soybean Board (susanne@hammondmedia.com) Evaluating the Response of Full Season and Double
More informationWINTER WASTEWATER LAGOON AND SLURRIES MANAGEMENT
WINTER WASTEWATER LAGOON AND SLURRIES MANAGEMENT H. Neibling 1 1 University of Idaho, Kimberly Research and Extension Center ABSTRACT Proper management of liquid and slurry livestock manure must consider
More informationTHE DEVELOPMENT AND EVALUATION OF A PREDICTIVE MILL-SCALE SUGARCANE QUALITY MODEL
SHORT, NON-REFEREED, PAPER THE DEVELOPMENT AND EVALUATION OF A PREDICTIVE MILL-SCALE SUGARCANE QUALITY MODEL JENKINS EPG AND BEZUIDENHOUT CN School of Engineering, University of KwaZulu-Natal, P/Bag X01,
More informationRATE, TIME AND METHOD OF TEMlK APPLICATION IN RATOON SUGARCANE
Proceedings of The South African Sugar Technologists' Association June 1 RATE, TIME AND METHOD OF TEMlK APPLICATION IN RATOON SUGARCANE By H. ROSTRON South African Sugar Association Experiment Station
More informationIRRIGATION CAPACITY AND PLANT POPULATION EFFECTS ON CORN PRODUCTION USING SDI
IRRIGATION CAPACITY AND PLANT POPULATION EFFECTS ON CORN PRODUCTION USING SDI Freddie R. Lamm Professor & Research Irrigation Engineer K-State Research and Extension Northwest Research-Extension Center
More informationNon-irrigated Irrigated Difference. Early 27.1 bushels per acre 33.8 bushels per acre 6.7 bushels per acre
University of Missouri Extension G4420, Reviewed October 1993 Editor's note The printed version of this publication includes illustrations. Irrigating Soybeans Diana G. Helsel and Zane R. Helsel Department
More informationHow to irrigate. How much to irrigate. When to irrigate
CROPWAT 8.0 How to irrigate How much to irrigate When to irrigate The designer s point of view The operator s point of view How to irrigate the designer s point of view How much to irrigate When to irrigate
More informationESTIMATES OF REGIONAL SCALE WATER USE FOR SUGARCANE IN SOUTH AFRICA *
SHORT COMMUNICATION ESTIMATES OF REGIONAL SCALE WATER USE FOR SUGARCANE IN SOUTH AFRICA * BEZUIDENHOUT C N 1, LECLER N L 2, GERS C 2 and LYNE P W L 2 1 School of Bioresources Engineering & Environmental
More informationSUGARCANE VARIETY IMPROVEMENT IN KENYA
POSTER SUMMARY SUGARCANE VARIETY IMPROVEMENT IN KENYA JAMOZA J E Kenya Sugar Research Foundation (KESREF), PO Box 44-40100, Kisumu, Kenya japhethjamoza@yahoo.com Abstract Sugarcane (Saccharum spp. hybrids)
More informationEstimates of Groundwater Recharge beneath Banksia Woodland on the Swan Coastal Plain Using a Vertical Flux Model (WAVES): Sensitivity Analysis
Estimates of Groundwater Recharge beneath Banksia Woodland on the Swan Coastal Plain Using a Vertical Flux Model (WAVES): Sensitivity Analysis C. Xu a, R.P. Silberstein b and A.D. Barr b a Water Corporation
More informationDRIVING FACTORS OF CROP RESIDUE LAYER EFFECTS ON SUGARCANE DEVELOPMENT AND WATER USE
SHORT, NON-REFEREED PAPER DRIVING FACTORS OF CROP RESIDUE LAYER EFFECTS ON SUGARCANE DEVELOPMENT AND WATER USE OLIVIER FC 1, SINGELS A 1,2 AND SAVAGE MJ 2 1 South African Sugarcane Research Institute,
More informationAlfalfa Management in North Dakota
1 of 9 05/28/08 14:06 Alfalfa Management in North Dakota R-571 (Revised), November, 1994. Dwain Meyer, Professor of Agronomy Agriculture Experiment Station James Helm, Extension Agronomist Introduction
More informationCFT Water Assessment Description
CFT Water Assessment Description Cool Farm Alliance 2017 For more information, see www.coolfarmtool.org Cool Farm Alliance Community Interest Company The Stable Yard, Vicarage Road, Stony Stratford, MK11
More informationEstimation of Irrigation Water Requirement of Maize (Zea-mays) using Pan Evaporation Method in Maiduguri, Northeastern Nigeria
Estimation of Irrigation Water Requirement of Maize (Zea-mays) using Pan Evaporation Method in Maiduguri, Northeastern Nigeria *I. J. Tekwa 1 and E. K. Bwade 2 *johntekwa@gmail.com 07035134544; 07032340369.
More informationESTIMATING THE FAMILY PERFORMANCE OF SUGARCANE CROSSES USING SMALL PROGENY TEST. Canal Point, FL. 2
Journal American Society of Sugarcane Technologists, Vol. 23, 2003 ESTIMATING THE FAMILY PERFORMANCE OF SUGARCANE CROSSES USING SMALL PROGENY TEST P.Y.P. Tai 1*, J. M. Shine, Jr. 2, J. D. Miller 1, and
More informationCONSUMPTIVE USE AND SUPPLEMENTAL WATER REQUIREMENTS OF CROPS GROWN IN THE EVERGLADES AGRICULTURAL AREA
CONSUMPTIVE USE AND SUPPLEMENTAL WATER REQUIREMENTS OF CROPS GROWN IN THE EVERGLADES AGRICULTURAL AREA Prepared by N. Khanal Resource Planning Department April 7, 1982 FINDINGS 1. The consumptive water
More informationWater-Use Considerations for Florida-Grown Rice 1
SS-AGR-87 Water-Use Considerations for Florida-Grown Rice 1 T. J. Schueneman and G. H. Snyder 2 Introduction The land south and south east of Lake Okeechobee in southern Florida is designated the Everglades
More informationCOPING WITH LOW WATER YEARS: WHAT STRATEGIES CAN YOU USE? Blaine Hanson, Steve Orloff, Khaled Bali, Blake Sanden, Dan Putnam 1 ABSTRACT
COPING WITH LOW WATER YEARS: WHAT STRATEGIES CAN YOU USE? Blaine Hanson, Steve Orloff, Khaled Bali, Blake Sanden, Dan Putnam 1 ABSTRACT The evapotranspiration (ET) of fully-irrigated alfalfa ranged from
More informationDistance from inlet end (ft)
Advance Movement of water from the inlet end to the downstream end Curve of Time vs. Distance is NOT linear Rule-of-Thumb: 1/3 of the total advance time is needed to reach midpoint of the furrow length
More informationLecture 5: Transpiration
5-1 GEOG415 Lecture 5: Transpiration Transpiration loss of water from stomatal opening substomatal cavity chloroplasts cuticle epidermis mesophyll cells CO 2 H 2 O guard cell Evaporation + Transpiration
More informationFinal Report - LWRRDC Project BSE2 - Increasing Irrigation Efficiencies in the Australian Sugar Industry
Sugar Research Australia Ltd. elibrary Completed projects final reports http://elibrary.sugarresearch.com.au/ Farming Systems and Production Management 1997 Final Report - LWRRDC Project BSE2 - Increasing
More informationReef Protection Package
Reef Protection Package The method for soil sampling and analysis for sugarcane properties regulated under the Environmental Protection Act 1994 For a simple online nutrient calculator tool go to the Reef
More informationTodd P. Trooien South Dakota State University Agricultural and Biosystems Engineering Brookings, South Dakota
EFFECT OF DRIPLINE DEPTH ON FIELD CORN PRODUCTION IN KANSAS Freddie R. Lamm Kansas State University Northwest Research-Extension Center Colby, Kansas flamm@ksu.edu Todd P. Trooien South Dakota State University
More informationSteps to making efficient use of water
Steps to making efficient use of water Findings from the Sustainable dairy farm systems for profit project M5 Project Information Series - Studies on Mutdapilly Research Station and subtropical dairy farms
More informationLagoon Management through the Water Year. Doug Hamilton Waste Management Specialist Oklahoma Cooperative Extension Service
Lagoon Management through the Water Year Doug Hamilton Waste Management Specialist Oklahoma Cooperative Extension Service Lagoons are used for storage and treatment on most Oklahoma hog farms because they
More informationAgriMet: Reclamation s Pacific Northwest Evapotranspiration Network
AgriMet: Reclamation s Pacific Northwest Evapotranspiration Network Peter L. Palmer 1 ABSTRACT In 1983, the Bureau of Reclamation (Reclamation) and Bonneville Power Administration (BPA) partnered to create
More informationCrop water requirement and availability in the Lower Chenab Canal System in Pakistan
Water Resources Management III 535 Crop water requirement and availability in the Lower Chenab Canal System in Pakistan A. S. Shakir & M. M. Qureshi Department of Civil Engineering, University of Engineering
More informationWeather Effects on Expected Corn and Soybean Yields
United States Department of Agriculture A Report from the Economic Research Service www.ers.usda.gov FDS-13g-01 July 2013 Weather Effects on Expected Corn and Soybean Yields Paul C. Westcott, westcott@ers.usda.gov
More informationCHAPTER 6: Irrigation scheduling
Pressurized Irrigation Techniques 6.1 CHAPTER 6: Irrigation scheduling Irrigation scheduling is one of the factors that influence the agronomic and economic viability of small farms. It is important for
More informationCORN PRODUCTION AS RELATED TO SPRINKLER IRRIGATION CAPACITY
CORN PRODUCTION AS RELATED TO SPRINKLER IRRIGATION CAPACITY Dr. Freddie Lamm Research Irrigation Engineer KSU Northwest Research-Extension Center Colby, Kansas Voice: 785-462-6281 Fax: 785-462-2315 Email:
More informationIrrigation Strategies For Optimizing Yield and Water Use Efficiency. Donald. F. Wanjura and Dan R. Upchurch 1. Abstract
Irrigation Strategies For Optimizing Yield and Water Use Efficiency Donald. F. Wanjura and Dan R. Upchurch 1 Abstract Subsurface drip irrigation (SDI) can apply precise quantities of water uniformly along
More informationCotton - Field to Gin
Cotton - Field to Gin Yesterday Today Tomorrow Texas Alliance for Water Conservation Rick Kellison, Project Director Funded by: Project established 2004 from a State of Texas grant administered through
More informationInfluence of Seasonal Irrigation Amount on Sugarbeet Yield and Qualityl
Spring 1988 Influence of Seasonal Irrigation Amount Influence of Seasonal Irrigation Amount on Sugarbeet Yield and Qualityl Steven R. Winter Texas Agricultural Experiment Station, Texas A&M University
More informationOptimizing Strip-Till and No-Till Systems for Corn in the Biofuel Era
Optimizing Strip-Till and No-Till Systems for Corn in the Biofuel Era Tony J. Vyn Agronomy Department, Purdue University Abstract Recent developments in biofuel demand and the rapid adoption of modern
More informationOptimizing Strip-Till and No-Till Systems for Corn in the Biofuel Era
Optimizing Strip-Till and No-Till Systems for Corn in the Biofuel Era Tony J. Vyn Agronomy Department, Purdue University Abstract: Recent developments in biofuel demand and the rapid adoption of modern
More informationINFLUENCE OF NOZZLE PLACEMENT ON CORN GRAIN YIELD, SOIL MOISTURE AND RUNOFF UNDER CENTER PIVOT IRRIGATION
INFLUENCE OF NOZZLE PLACEMENT ON CORN GRAIN YIELD, SOIL MOISTURE AND RUNOFF UNDER CENTER PIVOT IRRIGATION Joel P. Schneekloth and Troy Bauder Regional Irrigation and Water Quality Specialists Colorado
More informationWater use efficiency of dryland canola
1 Water use efficiency of dryland canola Michael J Robertson A and John A Kirkegaard B A CSIRO Sustainable Ecosystems, Private Bag, PO Wembley, WA 6913, Australia B CSIRO Plant Industry, GPO Box 16, Canberra,
More informationUsing Less Fertilizer More Often Can Reduce Nitrate Leaching
California Agriculture. 1992. 46(3):19-21. Using Less Fertilizer More Often Can Reduce Nitrate Leaching Marylynn V. Yates, J. L. Meyer and Mary Lu Arpaia Fertilizing avocado trees in smaller amounts more
More informationPART IV WATER QUANTITY MONITORING, TECHNOLOGICAL ADVANCES AND CONCLUSIONS
PART IV WATER QUANTITY MONITORING, TECHNOLOGICAL ADVANCES AND CONCLUSIONS 17.1 INTRODUCTION CHAPTER 17 Water Quantity Monitoring The Okanagan Study has revealed the need for an improved monitoring system
More informationChanges in water resources availability for crop systems: a case study in the region of Umbria
Changes in Water Resources Systems: Methodologies to Maintain Water Security and Ensure Integrated Management (Proceedings of Symposium HS3006 at IUGG2007, Perugia, July 2007). IAHS Publ. 315, 2007. 9
More informationOPERATING CONTROLLED DRAINAGE AND SUBIRRIGATION SYSTEMS
OPERATING CONTROLLED DRAINAGE AND SUBIRRIGATION SYSTEMS Prepared by: Robert Evans, Extension Specialist and Wayne Skaggs,William Neal Reynolds Professor Department of Biological and Agricultural Engineering
More informationAn initial evaluation of surge irrigation as a management tool for the Burdekin sugar industry.
Sugar Research Australia Ltd. elibrary Completed projects final reports http://elibrary.sugarresearch.com.au/ Farming Systems and Production Management 1991 An initial evaluation of surge irrigation as
More informationPrecipitation Surface Cover Topography Soil Properties
Precipitation Surface Cover Topography Soil Properties Intrinsic capacity of rainfall to cause erosion Influenced by Amount, intensity, terminal velocity, drop size and drop size distribution of rain.
More informationImproved Fertilizer use Efficiency with Controlled Release Sources on Sandy Soils in South Florida. FDACS Contract
Improved Fertilizer use Efficiency with Controlled Release Sources on Sandy Soils in South Florida FDACS Contract 013960 Task 1: Field Evaluation of CRF Deliverable 1: Report N fertilizer Biomass Efficiency
More informationFarm Turnout Flow Recommendations. for New Outlets in. Cameron County Irrigation District No. 2 1
Farm Turnout Flow Recommendations for New Outlets in Cameron County Irrigation District No. 2 1 A Report prepared for the Bureau of Reclamation Cameron County Irrigation District No. 2 December 10, 2002
More informationModelling irrigated sugarcane crop under seasonal climate variability: A case study in Burdekin district
22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 3 to 8 December 2017 mssanz.org.au/modsim2017 Modelling irrigated sugarcane crop under seasonal climate variability:
More informationBlaine Hanson Dept. of Land, Air and Water Resources University of California, Davis
Blaine Hanson Dept. of Land, Air and Water Resources University of California, Davis Other participants Steve Orloff Farm Advisor, Siskiyou County Blake Sanden Farm Advisor, Kern County Khaled Bali Farm
More informationInfluence of evapotranspiration estimates on the water balance of sugarcane cropping system in the Hawaiian island of Maui
Influence of evapotranspiration estimates on the water balance of sugarcane cropping system in the Hawaiian island of Maui Javier Osorio, Jaehak Jeong & Jeff Arnold Presented by: Allan Jones 2013 International
More informationWhat has Soil Got to Do with Water?
What has Soil Got to Do with Water? Leeper Memorial Lecture for 2003 by Robert E White Institute of Land and Food Resources The University of Melbourne Deficiencies in the debate 1. Too much focus on managing
More informationDevelopment of the Mississippi Irrigation Scheduling Tool-MIST
Development of the Mississippi Irrigation Scheduling Tool-MIST Sassenrath, G.; Schmidt, A.; Schneider, J.; Tagert, M.L.; van Riessen, H.; Corbitt, J.Q.; Rice, B.; Thornton, R.; Prabhu, R.; Pote, J.; Wax,
More informationHARVEST HAUL MODEL THE COST OF HARVESTING PADDOCKS OF SUGARCANE ACROSS A SUGAR MILLING REGION By G.R. SANDELL 1 and D.B.
HARVEST HAUL MODEL THE COST OF HARVESTING PADDOCKS OF SUGARCANE ACROSS A SUGAR MILLING REGION By G.R. SANDELL 1 and D.B. PRESTWIDGE 2 1 BSES Limited, Mackay 2 CSIRO Sustainable Ecosystems, Brisbane gsandell@bses.org.au
More informationSmartCane Principles of Best Management Practice. SmartCane Best Management Practice Booklet
SmartCane Principles of Best Management Practice SmartCane Best Management Practice Booklet SmartCane Principles of Best Management Practice by Bernard Schroeder 1, David Calcino 3, Alan Hurney 2, Robert
More informationCONVENTIONAL, STRIP, AND NO TILLAGE CORN PRODUCTION UNDER DIFFERENT IRRIGATION CAPACITIES
CONVENTIONAL, STRIP, AND NO TILLAGE CORN PRODUCTION UNDER DIFFERENT IRRIGATION CAPACITIES Dr. Freddie Lamm Research Irrigation Engineer Email: flamm@ksu.edu Dr. Rob Aiken Research Crop Scientist Email:
More informationMay AquaCrop, the FAO simulation model for crop water productivity, irrigation management and hydrologic assessment
2237-1 Joint ICTP-IAEA Conference on Coping with Climate Change and Variability in Agriculture through Minimizing Soil Evaporation Wastage and Enhancing More Crops per Drop 9-13 May 2011 AquaCrop, the
More information