MOST PROFITABLE USE OF IRRIGATION SUPPLIES: A CASE STUDY OF A BUNDABERG CANE FARM
|
|
- Milo Underwood
- 1 years ago
- Views:
Transcription
1 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 University, Townsville, Q CSIRO Tropical Agriculture, PMB PO Aitkenvale, Q BSES, C/- PO Box 953, Bundaberg, Q 4072 Abstract A range of biophysical and financial factors, including the crop response to available water and the cost of irrigation, significantly impact on the economic benefits from using irrigation. Research tools have been developed in a multi-disciplinary environment to allow for the assessment of the economic benefits associated with using irrigation. This paper adopts the season in Bundaberg as a case study and develops arguments for best use of limited water based on current economic and biophysical modelling capability. A selection of irrigation options were chosen for investigation based on combinations of soil type, allocation, critical fraction of available soil water (FASW) to irrigate, irrigation amount, and age of crop for irrigation commencement. The influence of these options on cane production is explored in a farm-level linear programming model. There appears to be a sound economic argument for further biophysical research into the crop response to irrigation, based on the sensitivity of farm incomes to choice of irrigation strategy. Introduction The high cost of irrigation means that growers need to make well-informed decisions about the best way to use this resource. A range of biophysical and financial factors, such as the crop response to applied water and the cost of irrigation, significantly impact on the economic benefits from using irrigation. Where water supplies are limited and/or costly, and there are a variety of irrigation application possibilities, there is a critical lack of information to help farmers decide the likely pay-off from irrigation, what proportion of water to apply to crops on different soil types, whether to favour plant over ratoons, whether to apply small amounts of water frequently or whether to apply more water in less frequent irrigations. In a multi-disciplinary research environment, the crop growth simulation model, APSIM, coupled with an economic linear programming model offers good opportunities to address these questions by providing an insight into the response of cane production to varying amounts of irrigation water applied under different strategies. Linear programming is an appropriate method of economic analysis to assess the most profitable irrigation strategies through optimisation. It is an analytically robust modelling technique 1
2 which has been available in other agricultural industries for many decades and has now been developed for application to the sugar industry. The irrigation supply system in Bundaberg is in what Randall (1981) termed a mature stage of development, as opposed to an expansionary phase. The mature phase is characterised by sharply rising incremental costs of water supply and greater competition for water among different users. Growers therefore need to strive for efficiency in the management of existing water supplies, particularly because the district has faced water shortages in recent years. Bundaberg growers in the Bundaberg irrigation area are currently limited to about 2.9 ML/assigned ha allocation of irrigation water. However, the deficit between crop demand and effective rainfall for cane crops in Bundaberg has been calculated to be 7.8 ML/ha (at 85% irrigation application efficiency) (Willcox et al., 1997). For these reasons the district was chosen as a case study to demonstrate the modelling capability described above. Method Biophysical modelling Biophysical simulations were performed using the APSIM systems model (Agricultural Production Systems Simulator; McCown et al., 1996). APSIM simulates agricultural production systems by combining modules describing the specific processes within the system under investigation. In this study, the sugar crop module APSIM-Sugarcane (Keating et al., 1998) was linked with the soil water module SOILWAT (Probert et al., 1997), the soil nitrogen module SOILN (Probert et al., 1997), and the surface residue module RESIDUE (Probert et al., 1997) to investigate yield responses to applied irrigation across a range of irrigation options in the Bundaberg district. APSIM-Sugarcane was configured to simulate continuous cropping of the variety Q124 with a cycle consisting of one plant crop followed by four ratoon crops. The simulation runs were conducted over a period leading up to and including 1997 without reinitialising soil water, residue and nitrogen related parameters. This enabled the capture of simulated carry-over effects from one season to the next, such as the effects of residue retention and the pre-planting fallow period on soil moisture levels. Subsequent analysis of responses to varying irrigation strategies were centred on the season, on the basis that it is was a relatively dry year within recent memory. A representative cropping sequence for Bundaberg was used, with each cycle commencing on day 244 (September 1) with planting to a depth of 15 cm. This plant crop was harvested on day 263 (September 20). Subsequent ratoon crops were harvested on days 248 (September 5), 232 (August 20), 213 (August 1) and 186 (July 5). This ploughout / replant cycle allowed approximately two months between cycles for harvesting and ground preparation activities. Given that APSIM is a paddock scale model, it was necessary to conduct a series of five separate runs, each offset by one year in order to simulate the response of each crop class in the season. A green cane trash 2
3 blanket system was employed in the simulation with pre- and post- harvest residues retained in the system. At the end of the crop cycle, all residues were incorporated to a depth of 40 cm. Stalk density for both plant and ratoon crops was set to 10 stalks per m 2. Actual average cane fresh weights reported for the 1996/97 season in Bundaberg district ranged from 44 t/ha to 118 t/ha for applied irrigation amounts between 0-7 ML/ha (June 1996-June 1997)(Bundaberg Cane Productivity Committee, 1997). The largest reported yields were about 150 t/ha. This compares with maximum simulated yields in the vicinity of 190t/ha. Simulated yields exceed the industry averages because they do not take into account losses associated with pests, disease, weed competition, unusual climatic events and they are based on uniform soil characteristics. Furthermore, irrigation is assumed to be 100% efficient. Nitrogen fertiliser application rates were set to non-limiting levels of 250 kg N ha -1 for both plant and ratoon crops. This rate was based on a potential cane fresh weight yield of 200 t ha -1 and rule of thumb applications of 1.4 kg N t -1 for the first 100 t of crop and 1.0 kg N t -1 for each tonne above that (Keating et al., 1997). A selection of irrigation options were chosen for investigation based on combinations of soil type, allocation, critical fraction of available soil water (FASW) to irrigate, irrigation amount, and age of crop for irrigation commencement. The elements of these options are specified in Table 1. The irrigation amount was based on the quantity required to refill the profile to the drained upper limit from the soil water content corresponding to the largest critical FASW. The two soil types used in the simulation were selected to represent profiles with sharply contrasting plant extractable soil water contents (PESW). The sand has a PESW of 63 mm to a depth of 150 cm, and the clay soil, a PESW of 146 mm to 120 cm. A pre-harvest drying-off (irrigation free) period of 30 days duration was incorporated into each element of the crop cycle. Table 1- Elements of the irrigation options used in the APSIM simulations. Soil Allocation (ML/ha) FASW Irrigation (mm) Delay (days) Sand 0, 2, 4, 6, 8, , , 90, 180 Clay 0, 2, 4, 6, 8, , 0.5, , 90, 180 Rainfall, temperature and solar radiation data used for the simulation were based on calibrated weather station data (March 1996 December 1997) recorded at the Bundaberg Sugar Fairymead Mill. Data prior to this period was sourced from a QDNR climate file for the Bundaberg Sugar Research station. Cane fresh weight by applied irrigation response functions generated from these model runs were used as inputs to the economic model framework described below. Simulated 3
4 applied irrigation and cane fresh weights for the various irrigation options appear in Appendices 1 and 2. Economic modelling A farm-level linear programming (LP) model was developed to estimate the changes to optimum irrigation strategies under varying levels of water availability and water charge assumptions based on gross margins, for a single season. The model also provides information about how canegrowers should tactically adjust their irrigation strategies in response to changed water charges and water availability. The LP model represents the production system of a typical Bundaberg cane farm with existing irrigation equipment and the option of either irrigated or dryland cane production (Table 1). The representative cane farm in this study is 58 ha with fixed production areas of plant cane (14 ha) and 4 ratoon cane crops each of 11 ha. Each crop class has exactly half of its area under the sand and clay soils described above. For example, 7 ha of the plant crop is grown on sand and the other 7ha of plant crop is on the clay soil. Other physical and financial assumptions for the LP model are listed in Appendix 3. The LP model allocates available water between various irrigation options for each crop class by soil type combination to maximise farm gross margin. It selects the most profitable combination of irrigation options subject to various constraints such as water availability, and fixed areas of each crop class on each soil type. The model was run to calculate the most profitable quantity of water to apply under the following situations: Water charges (including pumping cost) ranging from $0/ML to $350/ML. Whole farm irrigation allocation of 0, 116, 232, 348, 464 and 580 ML corresponding to per hectare irrigation allocations of 0, 2, 4, 6, 8 and 10 ML respectively. Two of these whole-farm allocations, 116 ML and 464 ML, and three of the water charges, $0, 100 and 300/ML were then examined in closer detail to show how the available water should be applied to the farm to maximise profits. This also serves to demonstrate the sensitivity of the most profitable set of irrigation options, and gross margins, to changes in water availability and water charge, and the consequences of making a sub-optimal choice from the range of irrigation options. 4
5 Results of economic modelling Economically optimum demand for water Demand for irrigation water was determined by varying the water charge from $0 to $350 per megalitre for whole-farm water allocations ranging from 116ML to 580ML (Fig. 1) ML 348 ML 232 ML 464 ML Fig. 1. Derived demand for water for four whole-farm irrigation allocations. The shadow price output or marginal value of water represents the amount by which the gross margin would increase if one additional megalitre of water was made available for irrigation and is shown in Table 2. For the allocations of 116 and 232 ML, and to a lesser extent for the 348 ML allocation, the economic demand for water by canefarmers appears to be relatively inelastic or stable over the simulated range. In these cases, water is limiting yields and the positive marginal values indicate that the returns from applying an extra unit of water exceed the cost of applying the water. However, increasing water 1 Demand curve for 580ML allocation as for 464 ML but omitted from Fig. 1 for clarity of presentation. 5
6 charge eventually erodes these returns, as shown by the falling marginal value of water. When the total farm allocation is increased beyond 464 ML, the demand for water is more elastic and decreases as the water charge is increased, and not all the available water is used. When the water charge increases, the cost of applying an extra unit of water is not compensated by a sufficient yield response to generate additional profits, hence the marginal value of water is 0. The gross margin would actually fall if all of the available water was used. Table 2- Response to irrigation management under varying water charges and water availabilities: Economically optimum quantity of water (ML). Water 0 ML 116 ML* 232 ML 348 ML 464 ML 580 ML Charge Quant. (ML) MV** Quant. (ML) MV Quant. (ML) MV Quant. (ML) MV Quant. (ML) MV Quant. (ML) MV * Whole-farm allocation; ** Marginal value of one additional ML of water. Most profitable irrigation strategies Two of these whole-farm allocations, 116 ML and 464 ML, and three of the water charges, $0, 100 and 300 /ML, are highlighted in Table 2. These cases were examined in closer detail to show the gross margins that corresponded with the optimum quantity of water and the combination of irrigation options that should be applied to the farm to maximise profits (Table 3). The gross margins presented in Table 3 represent the highest possible income obtainable under the particular set of market factors. The gross margin falls substantially as the water charge is increased. For the costless water charge, the gross margin for the 464 ML allocation is almost 3 times higher than the 116 ML allocation. For the $300/ML water charge, the gross margin for the 464ML allocation is lower than for the 116ML allocation. This is because a $5 levy per ML of nominal allocation (incurred in addition to the variable water charge) is charged on every ML of the 464Ml allocation, regardless of the quantity used, and this is having the effect of lowering these gross margins. The irrigation options which were selected by the model to produce the optimum gross margin are also listed in Table 3. 6
7 Table 3- Optimal irrigation strategies for the whole farm for 2 whole-farm allocations and 3 water charges, gross margins, and optimum quantity of water applied to the whole-farm. Water Whole farm allocation 116 ML Whole farm allocation 464 ML Charge class soil ha ML/ha fasw delay (days) class soil ha ML/ha fasw delay (days) 0 P Sand P Sand Sand Clay Clay R1 Sand R1 Sand Clay Clay R2 Sand R2 Sand Clay Clay R3 Sand R3 Sand Clay Clay R4 Sand R4 Sand Clay Clay Gross margin = $ Gross margin = $ Optimum quantity applied = 116ML Optimum quantity applied = ML 100 P Sand Clay As above R1 Sand Clay R2 Sand Clay R3 Sand Clay R4 Sand Clay Gross margin = $ Gross margin = $ Optimum quantity applied = 116ML Optimum quantity applied = ML 300 P Sand Clay As above R1 Sand Clay R2 Sand Clay R3 Sand Clay R4 Sand Clay Gross margin = $7 831 Gross margin $6 118 Optimum quantity applied = 116ML Optimum quantity applied = ML 7
8 For the 116ML whole-farm allocation, the profit-maximising set of irrigation strategies does not change for the range of water prices. The highest possible gross margin is achieved by applying water at low intensity across all crop classes on both soil types. Part of the plant crop on the sand soil is irrigated intensively, however, there are insufficient supplies to profitably irrigate all of the plant crop at this rate. For the 464ML whole-farm allocation, the optimal set of irrigation strategies changes considerably with increasing water charge. Water was applied at considerably lower intensities across the farm as the water charge increased. It was not only the intensity of irrigation which varied for the range of water charges - the timing of irrigation and soil moisture status at irrigation were also adjusted to achieve highest possible gross margins. With increasing water charge, optimum irrigation strategies involved delaying the commencement of irrigation, and soil water was also allowed to run down further before the next irrigation. Both management factors are water saving measures which become economically important when water charges become costly. Water is applied luxuriously with shorter delays for the commencement of irrigation, and less soil water depletion, when water is plentiful and inexpensive. The cost of choosing a sub-optimal strategy For each crop class on the sand and clay soils there were 5 and 7 alternative combinations of FASW and delay after planting (or harvest), respectively, which could have been selected. The linear programming model generates information revealing the sensitivity of gross margin to choosing one of these alternative options instead of the optimum. An example of this is shown in Table 4 where the costs associated with implementing an alternative strategy are explored. Given the large amount of information to present for all crop classes, only the plant crop is examined in the table. The highlighted section of Table 3 shows that the optimum irrigation strategy for the plant cane is where 6.72 ML/ha is applied to the full 7 ha of the sand soil starting 90 days after planting when the soil water fraction is 0.5. Note that the precise quantity applied is not listed in the table because this varied for each irrigation option. However, the amount applied can be summarised as an upper, per hectare, rate limit which was used in the APSIM runs. Whole farm allocations were not used in APSIM because it is a block-level model. On the clay soil, 7.2 ML/ha is applied to the full 7 ha with no delay after planting and a soil water fraction of 0.8. The negative values in Table 4 represent the amount by which the total farm gross margin would fall when just one hectare of these optimum options is replaced by one hectare of any of these alternative options on both soil types. The biggest gross margin losses occur when the low-intensity irrigation options are selected. For example, replacing one hectare of the plant crop on sand, irrigated according to the optimum option, with one hectare of non-irrigated cane reduces gross margin by $ In this example, increasing the delay from planting to irrigation appears to reduce gross margin. 8
9 Table 4- Impact of implementing alternative plant crop irrigation options on whole farm gross margin for the 464 ML whole-farm allocation and 100 $/ML water charge. Marginal revenue Delay (days) - Sand Delay (days)- Clay Fasw Upper limit ML applied to ha Optimal < Not applicable Optimal Conclusion In a production environment characterised by volatile sugar prices, increasing costs and increasing competition for water supplies it is critical to use water efficiently. The research outlined in this paper highlights the importance of an improved understanding of the crop response to varying quantities of irrigation water applied under different biophysical circumstances. Based on the sensitivity of farm incomes to choice of irrigation strategy, there appears to be a solid economic argument for further biophysical research into the crop response to irrigation, not just in terms of quantity applied but also with respect to understanding how profitability of irrigation strategies are influenced by soil type and manipulation of the timing of application of water. It should be stressed, however, that the analysis presented in this paper is based on simulated potential yield data and there is an element of uncertainty about the outcomes presented. Therefore, the results should not form the basis of industry recommendations on best use of limited water supplies in the Bundaberg district. Until the model is run with actual yield data, the results should be seen as only indicative of the relationship between irrigation strategies and farm profitability. The coupling of crop growth simulation models with economic optimisation models has provided a powerful capacity to explore these issues by also providing information about how canegrowers should tactically respond to changed water charges, and what irrigation strategy to select under changed market factors. The linear programming model represents a significant improvement over traditional spreadsheet-based economic tools 9
10 available to the industry. This is because of its ability to calculate optimum solutions from large numbers of irrigation options for various combinations of water allocation and market factors, and its ability to generate information about how farm incomes would change if non-optimal irrigation options were implemented. This multi-disciplinary, multi-party research was initiated by a small group of biophysical scientists and an economist in the CRC for Sustainable Sugar Production with a genuine interest in improving the effectiveness of irrigation research. Both the economist and the bio-physical scientists agreed that the CRC environment has provided an interactive opportunity to improve their understanding of each other s disciplines and make the language and theory of the scientific and economic disciplines more accessible to each other. The bio-physical scientists involved in irrigation research have a strong desire to make their research relevant and have changed the emphasis and design of future irrigation field experiments with knowledge gained from economic sensitivity of the results. The emphasis has shifted from trying to maximise responses per megalitre of irrigation to exploring incremental responses to achieve maximum profitability. Acknowledgments Thilak Mallawaarachchi is acknowledged for his major contribution to development of the linear programming model used in this research. The assistance of Trevor Wilcox in the planning of this research is also appreciated, and both provided helpful suggestions to improve an earlier draft of this paper. References Bundaberg Cane Productivity Committee (1997). Sugar cane yields & varietal performance, Bundaberg District, Keating B.A., Robertson M.J., Muchow R.C. and Huth N.I. (1998). Modelling sugarcane production systems I: Description and validation of the sugarcane module. Field Crops Research (in press). Keating B.A., Verburg K., Huth N.I. and Robertson M.J. (1997). Nitrogen management in intensive agriculture: sugarcane in Australia. In Keating, B.A. and Wilson J.R. (eds). Intensive sugarcane production: Meeting the challenges beyond CAB International, Wallingford, pp McCown R.L., Hammer G.L., Hargreaves J.N.G., Holzworth, D.P. and Freebairn D.M. (1996). APSIM: A novel software system for model development, model testing, and simulation in agricultural systems research. Agricultural Systems, 50:
11 Probert M.E., Dimes J.P., Keating B.A., Dalal R.C. and Strong W.M. (1997). APSIM s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agricultural Systems, 56: Randall, A. (1981). Property entitlements and pricing policies for a maturing water economy: Australian Journal of Agricultural Economics, v. 25, no. 3, pp Willcox, T.G., Kane, R., Smith, M.A. (1997). Determining irrigation resource requirements and crop yield using a water balance model. Proceedings of the Australian Society of Sugarcane Technologists Conf., pp
12 Appendix 1: Simulated cane fresh weight (C, t/ha) and applied irrigation (I, mm) for the range of irrigation options on the sand soil. Plant Rtn. 1 Rtn. 2 Rtn. 3 Rtn. 4 Soil FASW Delay Allocation I C I C I C I C I C Sand Rainfed
13 Appendix 2: Simulated cane fresh weight (C, t/ha) and applied irrigation (I, mm) for the range of irrigation options on the clay soil. Plant Rtn. 1 Rtn. 2 Rtn. 3 Rtn. 4 Soil FASW Delay Allocation I C I C I C I C I C Clay Rainfed
14 Appendix 3: LP Model assumptions Other model assumptions for the LP model, based on data obtained from Canegrowers (1996) and ABARE (1996) survey data. Crop labour requirements were: fallow 8 hrs/ha, plant 50 hrs/ha, ratoon 20 hrs/ha. The family labour available totalled 3200 hours per year. Casual labour was available to supplement on-farm labour depending on crop activity labour requirements. The additional labour could be purchased at $20 per hour. This price included wages and on-costs. The plant and ratoon crops had cultivation requirements of 11 and 5 hrs/ha respectively, and the total tractor hours available were 5000 hours. The ccs was set to12. Farm cash costs, excluding harvesting, hired labour and water charges were $1000 /ha. This figure includes maintenance costs for the irrigation system. Sugar price set to $330/t Harvesting and levies was $5.70/t An annual allocation charge of $5/ML of nominal allocation water payable regardless of the quantity of water used from the whole-farm allocation. As only the farm gross margin is calculated in the model, the fixed costs associated with investment in irrigation equipment and other capital items were not considered. 14
MODELLING SUGARCANE YIELD RESPONSE TO APPLIED NITROGEN FERTILISER IN A WET TROPICAL ENVIRONMENT
MODELLING SUGARCANE YIELD RESPONSE TO APPLIED NITROGEN FERTILISER IN A WET TROPICAL ENVIRONMENT By DM SKOCAJ 1,5, AP HURNEY 2, NG INMAN-BAMBER 3, BL SCHROEDER 4, YL EVERINGHAM 5 1 BSES Limited Tully, 2
AN EFFECTIVE APPROACH TO DELIVERING SUGARCANE IRRIGATION EXTENSION AT BUNDABERG BASED ON REAL TIME WEB-BASED TECHNOLOGY
AN EFFECTIVE APPROACH TO DELIVERING SUGARCANE IRRIGATION EXTENSION AT BUNDABERG BASED ON REAL TIME WEB-BASED TECHNOLOGY By MG HAINES Bundaberg Sugar Services Ltd, Bundaberg mhaines@sugarservices.com.au
A CASE STUDY ON THE ECONOMICS OF OVERHEAD IRRIGATION IN THE LOWER BURDEKIN
A CASE STUDY ON THE ECONOMICS OF OVERHEAD IRRIGATION IN THE LOWER BURDEKIN MJ POGGIO 1, C HESP 2, SJ ATTARD 3, T CAMERON 1 1 Department of Employment, Economic Development and Innovation, 2 MAFIA Group,
THE IMPACT OF TRASH MANAGEMENT ON SUGARCANE PRODUCTION AND NITROGEN MANAGEMENT: A SIMULATION STUDY. P.J. THORBURN, H.L. HORAN and J.S.
Proc. Aust. Soc. Sugar Cane Technol., Vol. 26, 24 THE IMPACT OF TRASH MANAGEMENT ON SUGARCANE PRODUCTION AND NITROGEN MANAGEMENT: A SIMULATION STUDY By P.J. THORBURN, H.L. HORAN and J.S. BIGGS CSIRO Sustainable
Nitrogen management following crop residue retention in sugarcane production
Nitrogen management following crop residue retention in sugarcane production P.J. Thorburn, H.L. Horan and J.S. Biggs CSIRO Sustainable Ecosystems, Queensland Bioscience Precinct, 36 Carmody Rd., St. Lucia
Qureshi, 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,
Klok, J.A., Charlesworth, P.B., Ham, G.J. and Bristow, K.L. Proc. Aust. Soc. Sugar Cane Technol., Vol. 25, 2003
MANAGEMENT OF FURROW IRRIGATION TO IMPROVE WATER USE EFFICIENCY AND SUSTAIN THE GROUNDWATER RESOURCE PRELIMINARY RESULTS FROM A CASE STUDY IN THE BURDEKIN DELTA By J.A. KLOK 1, 3, P.B. CHARLESWORTH 2,
* corresponding author Abstract
Climate Risk Management and Agriculture in Australia and beyond: Linking Research to Practical Outcomes Dr. Holger Meinke Agency for Food and Fibre s Department of Primary industries, Australia Holger
HARVEST 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
Attard, 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
LINKING MEASURED CARBON DIOXIDE EXCHANGE BY SUGARCANE CROPS AND BIOMASS PRODUCTION.
LINKING MEASURED CARBON DIOXIDE EXCHANGE BY SUGARCANE CROPS AND BIOMASS PRODUCTION By OT DENMEAD 1, BCT MACDONALD 2, I WHITE 2, DWT GRIFFITH 3, G BRYANT 3, T NAYLOR 3, SR WILSON 3, WJ WANG 4 1 CSIRO Land
Australian Sugar Milling Council submission to the Parliamentary Inquiry into Agricultural Innovation.
Australian Sugar Milling Council submission to the Parliamentary Inquiry into Agricultural Innovation. The Australian Sugar Milling Council (ASMC) is the peak industry organisation for raw sugar milling
HEALTHY CROP AND HEALTHY GROUNDWATER SUGARCANE IN THE BURDEKIN DELTA.
HEALTHY CROP AND HEALTHY GROUNDWATER SUGARCANE IN THE BURDEKIN DELTA. Philip Charlesworth 1, Chris Chinn 2, Keith Bristow 1, Gary Ham 2 1 CSIRO Land and Water and CRC for Sustainable Sugar Production,
INDUSTRY TRANSITION AND SUGARCANE FARM HOUSEHOLDS IN MARYBOROUGH 1
INDUSTRY TRANSITION AND SUGARCANE FARM HOUSEHOLDS IN MARYBOROUGH 1 G Antony 2, Z Jiao 2 F Sestak 3 Keywords: farm-household survey, correspondence analysis International competition and ageing canegrowers
2.2 Modelling Release of Nutrients from Organic Resources Using APSIM
2.2 Modelling Release of Nutrients from Organic Resources Using APSIM M.E. Probert* and J.P. Dimes Abstract In the context of integrated nutrient management, the performance of a crop model depends mainly
SUGARCANE 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.
ROBUST ESTIMATES OF EVAPOTRANSPIRATION FOR SUGARCANE
ROBUST ESTIMATES OF EVAPOTRANSPIRATION FOR SUGARCANE M G MCGLINCHEY 1 and N G INMAN-BAMBER 1 Swaziland Sugar Association Technical Services, Simunye, Swaziland CSIRO Sustainable Ecosystems, Townsville,
INCREASED 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.,
Final report- Authors: L.Di Bella, A.Benson, M. Sefton, A.Royle, G.Holzberger and S. Sellick. Report date: 30/12/2013.
Final report- Better use of sugarcane mill waste streams on farm through education and development of improved farming practices in the Herbert cane growing region. Authors: L.Di Bella, A.Benson, M. Sefton,
Water use efficiency of forages on subtropical dairy farms
Water use efficiency of forages on subtropical dairy farms Findings from the Sustainable dairy farm systems for profit project M5 Project Information Series - Studies on Mutdapilly Research Station and
Grower Update BPS ACTIVITIES PACHYMETRA. Welcome to the Christmas issue of our BPS newsletter.
Grower Update ISSUE 13 DECEMBER 2013 Welcome to the Christmas issue of our BPS newsletter. We hope you find the articles contained in this issue informative. This issue contains: BPS Activities Pachymetra
RICE FARMING NOW A REALISTIC OPTION FOR GROWERS IN REGION
Size: 206.00 sq.cms. RICE FARMING NOW A REALISTIC OPTION FOR GROWERS IN REGION WHILE Mackay s first commercial rice crop is about ready to harvest, Andrew Barfield has trialled different rice varieties
CLIMATE, SUGAR YIELDS AND IRRIGATIOPT RESPONSE IN QUEENSLAND
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 1945-69 have been
THE ROLE OF WEATHER INFORMATION IN SMALLHOLDER AGRICULTURE: THE CASE OF SUGARCANE FARMERS IN KENYA
THE ROLE OF WEATHER INFORMATION IN SMALLHOLDER AGRICULTURE: THE CASE OF SUGARCANE FARMERS IN KENYA Presented to THE WEATHER IMPACT SEMINAR At WAGENINGEN, THE NETHERLANDS By BETTY A. MULIANGA, PhD 22 nd
SOYBEANS IN THE SUGARCANE CROPPING SYSTEM
SOYBEANS IN THE SUGARCANE CROPPING SYSTEM Alan Garside 1, Mike Bell 2, Neil Halpin 2, John Berthelsen 1 1 BSES LTD and 2 QDPI & F Sugar Yield Decline Joint Venture The SYDJV was largely funded by SRDC
4.3 Irrigated corn best practice guide
Bec Raymond DAFF Queensland Graham Harris DAFF Queensland Key points Water required varies from 500 to 800 mm A full irrigation strategy or limited water irrigation strategy can be used Waterlogging can
An economic analysis of production of sugarcane under different method of irrigation in Durg division of Chhattisgarh
2018; 6(1): 1389-1393 P-ISSN: 2349 8528 E-ISSN: 2321 4902 IJCS 2018; 6(1): 1389-1393 2018 IJCS Received: 20-11-2017 Accepted: 21-12-2017 Umesh Jaiswal Jayant Nishad AK Koshta Professor, Department of Vijay
A FINANCIAL ESTIMATION OF THE MILL AREA-SCALE BENEFITS OF VARIETY ADOPTION IN SOUTH AFRICA: A SIMPLISTIC APPROACH
REFEREED PAPER A FINANCIAL ESTIMATION OF THE MILL AREA-SCALE BENEFITS OF VARIETY ADOPTION IN SOUTH AFRICA: A SIMPLISTIC APPROACH KADWA M 1, RAMBURAN S 2, NICHOLSON RJ 1 AND REDSHAW KA 2 1 South African
SUSTAINABILITY FOR A SUGARCANE GROWER IN THE SOUTH AFRICAN SUGAR INDUSTRY CAN SUSFARMS ADD VALUE? K.M. Hurly. Abstract
SUSTAINABILITY FOR A SUGARCANE GROWER IN THE SOUTH AFRICAN SUGAR INDUSTRY CAN SUSFARMS ADD VALUE? K.M. Hurly CANEGROWERS, PO Box 888, Mount Edgecombe,4300 Abstract A farm management system called SUSFARMS
Climate and soils. Temperature. Rainfall. Daylength. Soils
Climate and soils Based on climate alone, peanuts can be grown from Victoria, through New South Wales to north Queensland, the Northern Territory and Western Australia, and have been grown in all of these
Growth and yield responses to amending the sugarcane monoculture: Queensland Alliance for Agriculture and Food Innovation, University of
Growth and yield responses to amending the sugarcane monoculture: interactions between break history and nitrogen fertiliser. 0 M.J. Bell ac and A.L. Garside b Sugar Yield Decline Joint Venture a Queensland
REVIEW OF IRRIGATION WATER MANAGEMENT PRACTICES FOR SUGARCANE CROP
REVIEW OF IRRIGATION WATER MANAGEMENT PRACTICES FOR SUGARCANE CROP Dr. Shahid Afghan Director Research Shakarganj Sugar Research Institute Jhang Punjab Pakistan H2O FACT SHEET Water content varies 70 90
Cotton Annual 2015 AUSTRALIAN COTTON INDUSTRY STATISTICS
Cotton Annual 2015 Suite 4.01 247 Coward Street Mascot NSW 2020 Australia P: +61 2 9669 5222 F: +61 2 9669 5511 talktous@cottonaustralia.com.au www.cottonaustralia.com.au www.facebook.com/cottonaustralia
CSIRO LAND and WATER. Use of APSIM to simulate water balances of dryland farming systems in south eastern Australia. K. Verburg and W.J.
Use of APSIM to simulate water balances of dryland farming systems in south eastern Australia K. Verburg and W.J. Bond CSIRO Land and Water, Canberra Technical Report 5/3, November 23 CSIRO LAND and WATER
SOIL NITROGEN AND SOIL WATER DYNAMICS IN CROP ROTATIONS: ESTIMATION WITH THE MULTIPLE CROP SINGLE PURPOSE MODEL
SOIL NITROGEN AND SOIL WATER DYNAMICS IN CROP ROTATIONS: ESTIMATION WITH THE MULTIPLE CROP SINGLE PURPOSE MODEL Edith N. Khaembah, Hamish Brown, Joanna Sharp and Rob Zyskowski The New Zealand Institute
The Plan would address seasonal planning and ensure that the Mill and growers work each season s production path.
Cane Supply and Processing Agreement 1. The Tully District has significant potential to grow the area that supplies the mill and sugar per hectare productivity. A whole of district Strategic plan developed
On-Farm Water Management. More Crop Production
On-Farm Water Management towards More Crop Production Dr. Saeed Nairizi Vice President Hon, ICID Presentation on the Strategy Theme (On-Farm) 61st International Executive Council Meeting, 10 16 October
Recovery From Hail Damage - Good Luck or Good Management?
27 Recovery From Hail Damage - Good Luck or Good Management? t l Karyl-Lee West Contract Agricultural Researcher Australian cotton production areas are prone to significant damage by hail storms. Following
PAGE 1 SOUTHERN AND WESTERN REGION
PAGE 1 water use efficiency fact sheet SOUTHERN AND WESTERN REGION 2009 Converting rainfall to grain Growers can improve crop water use efficiency by using strategies to increase stored soil moisture prior
REDUCED TILLAGE SYSTEMS FOR HEAVY COASTAL CLAY SOILS IN THE GUYANA SUGAR INDUSTRY
REDUCED TILLAGE SYSTEMS FOR HEAVY COASTAL CLAY SOILS IN THE GUYANA SUGAR INDUSTRY N.W. Friday, H.B. Davis, A.D. Dey, A. Simon and P. Mc Farlane Guyana Sugar Corporation Inc. BACKGROUND In Guyana sugar
BENEFITS OF MICRO IRRIGATION SYSTEM SUGAR RECOVERY & PRODUCTIVITY AMIT BHARDWAJ DY. HEAD - INDIAN SUGAR MILLS ASSOCIATION 8 TH OCT, 2013
BENEFITS OF MICRO IRRIGATION SYSTEM SUGAR RECOVERY & PRODUCTIVITY AMIT BHARDWAJ DY. HEAD - INDIAN SUGAR MILLS ASSOCIATION 8 TH OCT, 2013 Flow of Presentation PART I o o Water requirement for sugarcane
Irrigation of Sugarcane Manual. Technical publication MN14002
Irrigation of Sugarcane Manual Technical publication MN14002 More information We are committed to providing the Australian sugarcane industry with resources that will help to improve its productivity,
A CONTINUOUS SOIL WATER POTENTIAL MEASUREMENT SYSTEM FOR IRRIGATION SCHEDULING ASSESSMENT
SHORT COMMUNICATION A CONTINUOUS SOIL WATER POTENTIAL MEASUREMENT SYSTEM FOR IRRIGATION SCHEDULING ASSESSMENT JUMMAN A 1,2 and LECLER NL 1,2 1 South African Sugarcane Research Institute, Private Bag X02,
Nutgrass management in sugarcane
Nutgrass management in sugarcane Introduction Nutgrass is a significant weed problem in most sugarcane production regions. Trials both in NSW and Queensland have shown that significant yield losses will
Green cane trash blanket Australia - Trash blanket
Green cane trash blanket Australia - Trash blanket Elimination of burning as a pre-harvest treatment of sugar cane, and managing the resultant trash as a protective blanket to give multiple on and off-site
TAMIL NADU AGRICULTURAL UNIVERSITY
TAMIL NADU AGRICULTURAL UNIVERSITY KRISHI VIGYAN KENDRA, TINDIVANAM The training components of the SSI programme for Villupuram District has been allotted to this Kendra for imparting SSI nursery technology
MANAGEMENT/MONITORING OF IRRIGATION REUSE. Anna Kelliher. Rendell McGuckian
MANAGEMENT/MONITORING OF IRRIGATION REUSE Paper Presented by : Anna Kelliher Authors: Anna Kelliher, Consultant, Rob Rendell, Principal Consultant, Rendell McGuckian 65 th Annual Water Industry Engineers
ESTIMATES 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
Response of Bannister and Williams oats to sowing date and plant density
Response of Bannister and Williams oats to sowing date and plant density Georgie Troup 1, Blakely Paynter 1 and Raj Malik 2 Department of Agriculture and Food, Western Australia, 1 Northam and 2 Katanning.
AUSTRALIAN CANE FARMERS 2009
AUSTRALIAN CANE FARMERS 37 SECTION 5 The Association ORGANISATIONAL STRUCTURE Association Ltd Level 16, 97 Creek Street Brisbane QLD 4001 Postal address: GPO Box 608, Brisbane QLD 4001 Phone: 07 3303 2020
Aerobic rice- the next generation innovation in rice cultivation technology
International Journal of Farm Sciences 2(2) : 54-58, 2012 Aerobic rice- the next generation innovation in rice cultivation technology J RACHEL PREDEEPA Department of Biotechnology Alpha Arts and Science
Crop Modeling Activities at South Asia AgMIP Workshop. ICRISAT, Andra Pradesh, India February 20-24, 2012
Crop Modeling Activities at South Asia AgMIP Workshop ICRISAT, Andra Pradesh, India February 20-24, 2012 Goals of the Crop Modelers during this Workshop: 1) to calibrate and intercompare multiple crop
A CALCULATOR FOR ESTIMATING THE PROFITABILITY OF IRRIGATION ON NEW ZEALAND DAIRY FARMS
A CALCULATOR FOR ESTIMATING THE PROFITABILITY OF IRRIGATION ON NEW ZEALAND DAIRY FARMS J. Howes 1, D. Horne 1 and N Shadbolt 2 1 Fertilizer & Lime Research Centre, Massey University 2 The Centre of Excellence
Macadamia grower's handbook
Macadamia grower's handbook Reprint information current in 2004 REPRINT INFORMATION PLEASE READ! For updated information please call 13 25 23 or visit the website www.deedi.qld.gov.au This publication
DEVELOPMENT OF A WEB-BASED DECISION-SUPPORT TOOL AND INFORMATION RESOURCE FOR SUGARCANE VARIETIES IN THE AUSTRALIAN SUGAR INDUSTRY
DEVELOPMENT OF A WEB-BASED DECISION-SUPPORT TOOL AND INFORMATION RESOURCE FOR SUGARCANE VARIETIES IN THE AUSTRALIAN SUGAR INDUSTRY By D MILLARD 1, B CROFT 2, M COX 3, D PAYNE 4 1 BSES Limited Burdekin,
Survey of management practices of dairy cows grazing kale in Canterbury
49 Survey of management practices of dairy cows grazing kale in Canterbury H.G JUDSON 1 and G.R EDWARDS 1 Agricom, P.O Box 3761, Christchurch Lincoln University, P.O Box 84, Lincoln University gjudson@agricom.co.nz
Cost of cultivation of sugarcane crop in Meerut district of Uttar Pradesh
IJF CI International Journal of Forestry and Crop Improvement Volume 6 Issue 1 June, 2015 41-48 Visit us : www.researchjournal.co.in e ISSN-2230-9411 RESEARCH ARTICLE DOI: 10.15740/HAS/IJFCI/6.1/41-48
Impact of irrigation variability on pasture production and beneficial water use
59 Impact of irrigation variability on pasture production and beneficial water use V.O. SNOW 1, R.F. ZYSKOWSKI 2, R.J. MARTIN 2, T.L. KNIGHT 3, R.N. GILLESPIE 2, M.U. RIDDLE 2, T.J. FRASER 3 and S.M. THOMAS
PLANTING GEOMETRY AND ITS EFFECT ON GROWTH AND YIELD. 3. Sowi ng behind the country plough (manual and mechanical drilling)
PLANTING GEOMETRY AND ITS EFFECT ON GROWTH AND YIELD Methods of Sowing and Transplanting 1. Broadcasting 2. Dibbling 3. Sowi ng behind the country plough (manual and mechanical drilling) 4. Seed Drilling
Overhead irrigation in the Australian cotton industry
Vol 23, No 1, page 40 January-February, 2002 The Australian Cottongrower Overhead irrigation in the Australian cotton industry By Joe Foley and Steven Raine, National Centre for Engineering in Agriculture
GROWTH AND YIELD OF A SUGARCANE PLANT CROP UNDER WATER STRESS IMPOSED THROUGH DEFICIT DRIP IRRIGATION
REFEREED PAPER GROWTH AND YIELD OF A SUGARCANE PLANT CROP UNDER WATER STRESS IMPOSED THROUGH DEFICIT DRIP IRRIGATION ROSSLER RL 1,2, SINGELS A 1,2, OLIVIER FC 1 AND STEYN JM 2 1 South African Sugarcane
Impact of Proposed Electricity Tariffs on Sugar Cane Growers Senior Manager Irrigated North: Jacques Schoeman
Impact of Proposed Electricity Tariffs on Sugar Cane Growers Senior Manager Irrigated North: Jacques Schoeman 10 November 2017 The RSA Sugar Industry 20 000 registered sugar cane growers Delivering to
Nitrapyrin with nitrogen can improve yield or quality of wheat, grass pasture, canola or sugarcane in Australia
Nitrapyrin with nitrogen can improve yield or quality of wheat, grass pasture, canola or sugarcane in Australia G. S. Wells 1 1 Dow AgroSciences Australia Ltd, PO Box 838, Sunbury, Victoria, 3429, www.dowagro.com/en-au/australia,
Forecasting fertiliser requirements of forage brassica crops
205 Forecasting fertiliser requirements of forage brassica crops D.R. WILSON 1, J.B. REID 2, R.F. ZYSKOWSKI 1, S. MALEY 1, A.J. PEARSON 2, S.D. ARMSTRONG 3, W.D. CATTO 4 and A.D. STAFFORD 4 1 Crop & Food
Site-specific crop management (SSCM) for Australian grains: how to begin
Site-specific crop management (SSCM) for Australian grains: how to begin Brett Whelan Australian Centre for Precision Agriculture, University of Sydney, NSW 2006. Site-specific crop management (SSCM)...
Economic Analysis of the Effect of Fertilizer Application on the Performance of White Guinea Yam in Different Ecological Zones of Edo State, Nigeria
World Journal of Agricultural Sciences 5 (1): 121-125, 2009 ISSN 1817-3047 IDOSI Publications, 2009 Economic Analysis of the Effect of Fertilizer Application on the Performance of White Guinea Yam in Different
Perennial ryegrass management II. Practical application of grazing principles
Perennial ryegrass management II. Practical application of grazing principles Key targets The 3030 Project identified three pasture management strategies as the keys to successful management of perennial
Australian vegetable-growing farms An economic survey, and
Australian vegetable-growing farms An economic survey, 2014 15 and 2015 16 Dale Ashton and Aruni Weragoda Research by the Australian Bureau of Agricultural and Resource Economics and Sciences Research
Understanding the effect of harvester speed on subsequent ratoon performance in the Burdekin
Sugar Research Australia Ltd. elibrary Completed projects final reports http://elibrary.sugarresearch.com.au/ Farming Systems and Production Management 2017 Understanding the effect of harvester speed
LIFE-CYCLE ASSESSMENT OF GREENHOUSE GAS EMISSIONS FROM IRRIGATED MAIZE: THE LIFE-CYCLE ANALYSIS
LIFE-CYCLE ASSESSMENT OF GREENHOUSE GAS EMISSIONS FROM IRRIGATED MAIZE: THE LIFE-CYCLE ANALYSIS T. Grant 1 and T. Beer 1 1 CSIRO Marine and Atmospheric Research, PMB1 Aspendale Vic. 3195 timothy.grant@csiro.au;
Guixin Pu 1, Mike Bell 1, Glenn Barry 2 and Peter Want 1
Effects of applied biosolids on forage sorghum production and soil major nutrient status in an alluvial clay loam soil in southeast Queensland, Australia. Guixin Pu 1, Mike Bell 1, Glenn Barry 2 and Peter
DairySA. Dairy Farm Monitor Project. South Australia Annual Report 2012/13
DairySA Dairy Farm Monitor Project South Australia Annual Report 2012/13 Acknowledgments The cooperation, patience and goodwill of the farmers who willingly supplied their farm information is gratefully
ESTIMATED COSTS OF SOLDIER AND COMBINE SUGARCANE HARVESTING SYSTEMS IN LOUISIANA
August 996 D.A.E. RESEARCH REPORT NO. 703 ESTIMATED COSTS OF SOLDIER AND COMBINE SUGARCANE HARVESTING SYSTEMS IN LOUISIANA Michael E. Salassi Lonnie P. Champagne ESTIMATED COSTS OF SOLDIER AND COMBINE
Cotton Annual 2013 A COLLECTION OF STATISTICS ACROSS 20 KEY AREAS OF AUSTRALIAN COTTON PRODUCTION
Cotton Annual 2013 Suite 4.01 247 Coward Street Mascot NSW 2020 Australia P: +61 2 9669 5222 F: +61 2 9669 5511 talktous@cottonaustralia.com.au www.cottonaustralia.com.au A COLLECTION OF STATISTICS ACROSS
Modelling nitrogen mineralization from manures: representing quality aspects by varying C:N ratio of sub-pools
Date: 13 January 24 Number of text pages: 19 Number of tables: 2 Number of figures: 7 Modelling nitrogen mineralization from manures: representing quality aspects by varying C:N ratio of sub-pools M E
Modelling trade-offs between ecosystem services and agricultural production in Western Australia
International Congress on Environmental Modelling and Software Brigham Young University BYU ScholarsArchive 6th International Congress on Environmental Modelling and Software - Leipzig, Germany - July
The Potash Development Association Why Maintain Soil Potash Reserves?
leaflet 28 The Potash Development Association Why Maintain Soil Potash Reserves? Introduction Potash is an essential nutrient for all crops and grassland and for livestock. Maintaining soil fertility so
Chapter 9: Adoption and impact of supplemental irrigation in wheat-based systems in Syria
Chapter 9: Adoption and impact of supplemental irrigation in wheat-based systems in Syria 131 132 Chapter 9: Adoption and impact of supplemental irrigation in wheat-based systems in Syria A. Bader, N.
Contemporary Research in India (ISSN ): Vol. 7: Issue: 3 September, 2017
IMPACT OF IMPROVED TECHNOLOGY ADOPTION FOR WHEAT IN MAHARASHTRA Dr. Y. C. Sale 1, Prof. N. K. Kale 2 and Prof. P. N. Shendage 3 College of Agriculture, Pune (Maharashtra) Mahatma Phule Krishi Vidyapeeth,
PERFORMANCE EVALUATION OF SASRI VARIETIES N19 AND N25 IN TANZANIA
PERFORMANCE EVALUATION OF SASRI VARIETIES N19 AND N25 IN TANZANIA CHAMBI JY AND ISA DW Sugarcane Research Institute, PO Box 30031, Kibaha, Tanzania sri@awayafrica.com Abstract SASRI varieties N14, N19,
Crop Weather Relationship and Cane Yield Prediction of Sugarcane in Bihar
Vol. 14, No. 2, pp. 150-155 (2014) Journal of Agricultural Physics ISSN 0973-032X http://www.agrophysics.in Research Article Crop Weather Relationship and Cane Yield Prediction of Sugarcane in Bihar ABDUS
Calibre BMR Forage Sorghum
Calibre BMR Forage Sorghum Sorghum bicolor x sudanese Early to mid maturing, Brown Mid Rib sorghum x Sudan grass hybrid 12 gene BMR now delivering new high quality in the forage market Low Lignin = highly
Of vital importance..
Soil moisture Of vital importance.. Low and erratic rainfall form a significant cause of low crop production and crop failure in rainfed agriculture in the tropics However, crop and land management do
Soil Enhancement versus Maintenance of Yield. Case Study: Broad Acre Grain and Silage
Soil Enhancement versus Maintenance of Yield Case Study: Broad Acre Grain and Silage Soil enhancement processes have long been plagued by early term yield losses as lower nutrient application and changes
Farm Adaptation Innovator Program
Farm Adaptation Innovator Program PROGRAM GUIDE October 29, 2014 Funding provided by Agriculture & Agri- Food Canada and BC Ministry of Agriculture, and through Growing Forward 2, a federal- provincial-
YIELD RESPONSE SURFACES FOR SPACING OF SUGARCANE PLANTS By J.K. LESLIE 1 and B.A. LESLIE 2
Leslie, J.K. and Leslie, B.A. Proc. Aust. Soc. Sugar Cane Technol., Vol. 27: 25 YIELD RESPONSE SURFACES FOR SPACING OF SUGARCANE PLANTS By J.K. LESLIE 1 and B.A. LESLIE 2 1 12/36 Glen Rd., Toowong, Qld,
ECONOMICALLY OPTIMAL CROP CYCLE LENGTH FOR MAJOR SUGARCANE VARIETIES IN LOUISIANA
Journal American Society of Sugarcane Technologists, Vol. 22, 2002. ECONOMICALLY OPTIMAL CROP CYCLE LENGTH FOR MAJOR SUGARCANE VARIETIES IN LOUISIANA Michael E. Salassi and Janis Breaux Department of Agricultural
Fertiliser evenness losses and costs: A study on the economic benefits of uniform applications of fertiliser
Proceedings of the New Zealand Grassland Association 6: 25 22 (999) 25 Fertiliser evenness losses and costs: A study on the economic benefits of uniform applications of fertiliser R. HORRELL, A.K. METHERELL
Module 5. Farm Business Management
Module 5. Farm Business Management Standards 5.1 Legal obligations and clear title to resources Management does not keep up to date with relevant legal obligations. Management cannot demonstrate clear
AGRICULTURE DEPARTMENT DHARMAPURI DISTRICT
AGRICULTURE DEPARTMENT DHARMAPURI DISTRICT Honorable Chief Minister of Tamilnadu has fixed an ambitious target of 115 MT Food Production for the state. For our District the food grain production is fixed
MAIZE GROWERS GUIDE. Table of Contents
MAIZE GROWERS GUIDE Table of Contents Soils and climate... 2 Fertilisation... 2 Plant spacing... 6 New trends in population density management-commercial... 12 Planting date... 12 Varietal choice... 13
Review of Current Sugarcane Fertilizer Recommendations: A Report from the UF/IFAS Sugarcane Fertilizer Standards Task Force 1
SL 295 Review of Current Sugarcane Fertilizer Recommendations: A Report from the UF/IFAS Sugarcane Fertilizer Standards Task Force 1 K. T. Morgan, J. M. McCray, R. W. Rice, R. A. Gilbert, and L. E. Baucum
ROTATIONS ROTATION SCENARIOS
The incorporation of sunflowers into zero tillage farming systems, when combined with timely crop management has resulted in a significant increase in average sunf lower yields. The improvement in the
Should the gravel content of soils impact on your input management decisions?
Should the gravel content of soils impact on your input management decisions? Bill Bowden, West Midlands Group. Key messages 1. The gravel content of soils (gv%) affects many soil processes which impact
An economic impact of white grub infestation on sugarcane in Northern Karnataka
2017; 5(3): 18-23 E-ISSN: 2320-7078 P-ISSN: 2349-6800 JEZS 2017; 5(3): 18-23 2017 JEZS Received: 04-03-2017 Accepted: 05-04-2017 Nagaraj Lamani Research Scholar, College of Agriculture, Vijayapur, UAS,
Soil moisture monitoring for crop management
IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS Soil moisture monitoring for crop management To cite this article: Dale Boyd 2015 IOP Conf. Ser.: Earth Environ. Sci. 25 012014
APSIM Use in Catchment Models and potential use in BYP scenario analyses
APSIM Use in Catchment Models and potential use in BYP scenario analyses Peter Thorburn & Jody Biggs CSIRO ECOSYSTEM SCIENCES Outline Paddock modelling in the Paddock- to- Reef evalua5on The WQ challenge
Potential Impact of Climate Change on Agriculture in Jamaica: Case Study of Sugar Cane, Yam, Escallion
Potential Impact of Climate Change on Agriculture in Jamaica: Case Study of Sugar Cane, Yam, Escallion Presentation to SALISES 50-50 Conference, Globalization, Climate Change and Rural Resilience, Pegasus
Amending sodic soils using sub-soil manure: economic analysis of crop trials in the high rainfall zone of Victoria Peter Sale 1 and Bill Malcolm 2
Amending sodic soils using sub-soil manure: economic analysis of crop trials in the high rainfall zone of Victoria Peter Sale 1 and Bill Malcolm 2 1 Department of Agricultural Sciences, La Trobe University
Submission on Transitional Issues Consultation Paper Regulated Retail Electricity Prices
Mareeba Dimbulah Irrigation Area Council PO Box 1359 Mareeba QLD 4880 Chairman: Joe Moro: 0418 966 960 Secretary: Bronwyn Dwyer: 0428 891 462 Submission on Transitional Issues Consultation Paper Regulated