Forage Harvester Evaluation

Similar documents
Forage Harvester Evaluation

KERN FIELD CROPS. Kern County 1031 S. Mt. Vernon Avenue Bakersfield, CA

A Comparison of Fuel Usage and Harvest Capacity in Self-Propelled Forage Harvesters

Dr. Brian Marsh Farm Advisor UC Cooperative Extension Kern County. Special Thanks

Corn Silage C.C. Sheaffer, P.R. Peterson and D.R. Swanson Varietal Trials Results, January 2006

Corn Silage C.C. Sheaffer, P.R. Peterson and D.R. Swanson Varietal Trials Results, January 2007

UNIVERSITY OF IDAHO TWIN FALLS COUNTY 2013 SILAGE CORN VARIETY TRIALS. Steven L. Hines 1 ABSTRACT

Kentucky Silage Corn Hybrid Performance Report: 2010

Corn Silage Management Practices on California Dairies

Switchgrass plot following the 2011 harvest at Central Grasslands Research Extension Center, Streeter, ND.

FIELD EXPERIMENT HISTORY

Self-Propelled Forage Harvesters JAGUAR. 900 Series 800 Series

EVALUATION OF SUGAR BEET VARIETIES IN CENTRAL OREGON, Marvin Butler and Neysa Farris. Abstract

Virginia Tech Corn Silage Testing 2010

Distribution Uniformity of Multi Stream Multi Trajectory Rotary Nozzles Spaced Below Recommended Distance

2009 Table Beet Weed Control Trials Methods: Trial No. 1: Trial No. 2: Results: Trial No. 1: Trial No. 2:

New Holland FR650 Fuel consumption and throughput in corn

Efficacy of Selected Acaricides on Spider Mites in Corn 2010

Improving the Quality and Production of Biogas from Swine Manure and Jatropha (Jatropha curcas) Seeds

FIELD EXPERIMENT HISTORY

Table 1. Application timing, plant stage, environmental conditions. Date 5/27 6/21 7/7 Treatment

FIELD EXPERIMENT HISTORY

(03 08 CRR-03 MAN Parallel Heavy South Pivot) Site Description Northeast Research & Extension Center

The Production of Perennial Forages. Paul E. Nyren

Bromacil, Diuron, and Flumioxazin Combinations for Total Vegetation Control

Date 5/21 Treatment. POST I Temperature (F) Air 65 Soil 70.2 Relative Humidity (%) 50 Wind (mph) 8 Soil Moisture. Adequate Corn

Silage Test Results. Summary of Evaluations of Corn Hybrids for Silage Blairsville, Athens, and Tifton, Georgia, 2017

PARTS TO FIT New Holland Self-propelled Forager

UCCE SAN JOAQUIN COUNTY ASPARAGUS RESEARCH PROGRESS REPORT, 2013

Field Calibration of Woodruff, Mehlich and Sikora Buffer Tests for Determining Lime Requirement for Missouri soils

Self-Propelled Forage Harvesters JAGUAR. 900 Series 800 Series

NEW YORK CORN SILAGE HYBRID TESTS 2010

LARGE SQUARE BALERS LB434XL & LB434RXL LB434XL & LB434RXL

LONG RANGE PERFORMANCE REPORT. Study Objectives: 1. To determine annually an index of statewide turkey populations and production success in Georgia.

factsheet Field Sprayer Calibration Introduction Pre-Calibration Checklist Using a Calibration Bottle

Comparisons of PRE/POST Weed Control Programs in Field Corn at Rochester, MN in 2015

Southern Illinois University. General Trial Information. Trial Location. Personnel. Pest Description. Maintenance.

Table 2. Evaluation of herbicide systems to control giant ragweed in soybeans at Rochester, MN in Pest Code AMBTR YIELD Pest Name Giant ragweed

FLUE CURED TOBACCO VARIETY EVALUATION IN GEORGIA. S. S. LaHue - UGA J. M. Moore - UGA

1. INTRODUCTION 3 2. COST COMPONENTS 17

MONITORING AND RESEARCH DEPARTMENT

Sequential Preemergence/Postemergence Herbicide Systems in Soybean for the Control of Giant Ragweed in Southeastern Minnesota in 2015.

EVALUATION OF THE AQUA-DUK PUMP

SPE MS. Abstract

UNIFORMITY CHARTS Accompanied with Precipitation Rates

Why calibrate? Calibrating your spray equipment

New Holland FR 650. DLG Test Report 6283F. CNH Industrial Belgium N.V. Fuel consumption and throughput in corn.

11/22/2009 (C18 09) Spray/Seeding Plan Page 1 of 13 University of Georgia. Managing GR Palmer amaranth in LL and RR cotton.

MACHINERY COST ESTIMATES

New perforated cascade pan

LONG RANGE PERFORMANCE REPORT. Study Objectives: 1. To determine annually an index of statewide turkey populations and production success in Georgia.

Oregon DOT Slow-Speed Weigh-in-Motion (SWIM) Project: Analysis of Initial Weight Data

SOYBEAN PERFORMANCE IN OREGON IN 1999

ON-FARM EXPERIENCE WITH SWINE LIQUID FEEDING: GROW- FINISH PIGS

Hybrid Electric Vehicle End-of-Life Testing On Honda Insights, Honda Gen I Civics and Toyota Gen I Priuses

Calibrating Boom Sprayers

Hydraulic Drive Head Performance Curves For Prediction of Helical Pile Capacity

correlated to the Virginia Standards of Learning, Grade 6

Cotton Cultivar Trials for 2017 Central and South Texas

UNIVERSITY OF DELAWARE VARIETY TRIAL RESULTS. Emmalea Ernest & Gordon Johnson

Variety Trial Results for 2018 and Selection Guide

Trial Report: Bell Pepper Variety Evaluation Spring 2017

MASTER \ C. Idaho National Engineering Laboratory. INEL 96J014t we.l~%/0o/60 PREPRINT. MOTOR-OPERATOR GEARBOX EFFICIENCY 5 i u.

Spring and Fall beet variety trials were conducted in 2018 at the University of Delaware research farm near Georgetown, DE.

PVP Field Calibration and Accuracy of Torque Wrenches. Proceedings of ASME PVP ASME Pressure Vessel and Piping Conference PVP2011-

THE 2016 OHIO SOYBEAN PERFORMANCE TRIALS

EVALUATION OF REDUCED RISK INSECTICIDES FOR CODLING MOTH MANAGEMENT IN ENGLISH WALNUTS 2005

Cotton Cultivar Trials for 2016 Central and South Texas

All Regional Engineers. Omer M. Osman, P.E. Special Provision for Hot-Mix Asphalt Mixture Design Composition and Volumetric Requirements July 25, 2014

PULL-TYPE FORAGE EQUIPMENT DESCRIPTION REVISION NUMBER. Index 09/01/16 1 PULL-TYPE FORAGE HARVESTERS FP230 09/01/ FP240 09/01/16 5-6

RECYCLABILITY EVALUATION PROTOCOL FOR PE FILMS

Ohio State University Extension. Boom Sprayer Calibration, AEX Food, Agricultural and Biological Engineering

* S stm. 0r 0. 0tin. and. Hadling. Ble. Lare~un I - I

Expect Extra Large Performance

Cordova Psychrophiles Bio-Digester. Benefit-Cost and Sensitivity Analysis

Choose your spray pressure. Measure the spray output (gallons per minute).

Is your TMR getting weighed accurately?

6.3 SUBSTRATE COMPOSITION AND QUALITY

CLAAS Selbstfahrende Erntemaschinen GmbH "DYNAMIC POWER" DLG Test Report 6027 F Brief description Manufacturer

Charles T. Golob, William J. Johnston, and Matt Williams Dept. Crop and Soil Sciences Washington State University January 6, 2009

PESTICIDE APPLICATION TIPS AND TECHNOLOGIES. John W. Inman. P.E.

METHOD OF TEST FOR ABRASION OF COARSE AGGREGATE BY USE OF THE LOS ANGELES ABRASION TESTING MACHINE

9/12/2009 (C8 09) Spray/Seeding Plan Page 1 of 5 University of Georgia

Silage Test Results. Dry Matter Yield Company or Brand Name. lbs/ton DM lbs/acre. Grain Portion

Alternative Fuel Price Report

Sprayer. Agricultural. Calibration

Transverse vs. Axial Competitive Comparison

High Plains Root-Knot Nematode Variety Trial Results, 2016

Project Title: Developing Stink Bug Thresholds for Late Maturity Group Soybeans on the Upper Gulf Coast. Beaumont, TX

TMR MIXERS ATTACHMENTS

Breitenbach, Fritz R., Lisa M. Behnken, Jeffrey L. Gunsolus, Reed Searcy, and Jared Liebenow

Research Combine.

Predicting Tractor Fuel Consumption

Electric vehicles a one-size-fits-all solution for emission reduction from transportation?

CALIBRATION LEARNING OBJECTIVES

Project Title: UCCE Statewide Processing Tomato Variety Evaluation Trials, 2003

2013 Evaluation of In-Furrow and Foliar Fungicides for Disease Control in Peanut in Jay, Florida 1

FIELD EXPERIMENT HISTORY

Determination of power loss of combine harvester travel gear

BAC and Fatal Crash Risk

Transcription:

Forage Harvester Evaluation November 2012 Brian Marsh, Farm Advisor Kern County Forage harvester efficiency is one of the factors to be considered in obtaining a unit. Harvester capacity needs to be matched with capacity of vehicles needed for transporting the material. Other considerations are cost, reliability, maintenance and repair costs, dealer support and ease of operation. Five self-propelled forage harvesters were tested for throughput, fuel consumption and quality of processing. Materials and Methods Corn (Zea mays) was cut for silage in a randomized complete block design with three replications for the test. Theoretical length of cut (TLC) for each machine was set at 16 mm (0.5 ) and each processor was set at 2 mm (0.08 ). Each machine had a 25 foot head (8 rows/pass) except for the 9060 which had a 20 foot head (6 rows/pass). The machines made three rounds cutting 8 rows per pass for a total of 144 rows. Other machine specifications are listed in Table 1. The machines were driven by different operators who had substantial experience operating that make and model. Each machine was warmed up, ready to harvest and parked at a specified location where the fuel tank was topped off. Time was recorded for harvest time and for travel time to and from the field and turning on the field ends. After each plot the machine was returned to the same specified location and refueled. Fuel consumption was measured as the amount to refill the fuel tank. The harvested area for each machine per replication was about four acres. Each plot consisted of six passes, harvesting eight 38 rows by 1226 feet. The New Holland 9060 had a smaller head which harvested six rows. Approximately 50 feet on each end of the field was previously harvested to provide adequate turn around space. Sufficient trucks were available for continuous harvest. Trucks were weighed full and empty for each load. Samples for moisture analysis were collected from each load from at least 10 spots as the trucks unloaded. Two truckloads per plot were also sampled for particle size following the Penn State Particle Size Separator methodology (Heinrichs, 1996). Approximately three pints of corn silage were placed in the upper sieve. The sieve consisted of three boxes. The upper box had 17 mm (3/4 ) holes. The middle box had 8 mm (5/16 ) holes. The sieve was shaken back and forth five times on a flat surface, rotated 90, shaken five times, rotated 90, and repeated so it was shaken 40 times. Material from each box was weighed, dried and re-weighed. Twenty randomly selected segments from the middle box were measured for length before drying. Samples from each truck were composited for Corn Silage Processing Score (Mertens and Ferreira, 2001). This test was completed by Dairyland Laboratories, Inc. This test measures starch and neutral detergent fiber (NDF) before and after separation on screens sized 4.75 mm and 1.18 mm.

Results and Discussion Yield per acre and percent moisture of the harvested corn silage were not significantly different for each machine (Table 2). Direct comparison between the machines is more problematic because the Krone was rated at more than 1000 horsepower. The John Deere, and New Holland 9090 machines were rated at about 800 horsepower and the New Holland 9060 was rated at 580 horsepower. The smaller 9060 did harvest less material, as expected. Although not significantly different, there was a trend for a higher percentage of chopping time. The Class and Krone machines had significantly lower chopping times than the other machines. The measured cut length was significantly different which makes direct comparisons less appropriate (Table 3). The Class machine chopped more per gallon of fuel. However, it also had the longest cut length, almost 2 mm longer than the TLC setting. The Krone machine with more horsepower with the same size head had a lower run time and chop time than the others. It also chopped more material per hour than the other machines with similar cut length as would be expected from a higher horsepower machine. The John Deere and New Holland 9090 machines chopped equivalent tonnage, equivalent tons per hour, and tons per gallon. The John Deere, although not significant, had a shorter cut length. Measured cut length from the New Holland 9090 was at the target 16 mm cut length. Results from 2012 are shown in Figures 1 and 2. Data from the 2010, 2011 and 2012 tests are included in Figures 3 and 4. A description of and results from the other tests can be found at http://cekern.ucanr.edu. Cut length ranged from 14.8 to 16.8 mm with TLC at 17 mm and 11.6 to 13.0 with TLC at 12.0 mm in the 2010 and 2011 tests, respectively. Cut length had a significant impact on throughput and fuel consumption. A very good relationship (R 2 =0.78 *** ) was observed for tons of fresh material harvested per hour of chop time versus cut length (Figure 3). Shortening cut length from 17 to 11 mm increases fuel consumption 53 percent measured as tons of silage harvested per gallon of fuel used and a 42 percent decrease in capacity as tons of fresh material per hour run time. The following formula can be used to determine potential harvest capacity at different cut lengths: where Y = 18.5X 9.3 Y = tons of fresh corn silage harvested per hour of chop time X = cut length in mm The following can be used to determine potential fuel consumption at different cut lengths: where Y = 0.50X 0.79 Y = tons of fresh corn silage harvested per gallon of fuel X = cut length in mm

Quality of cut was determined through particle size analysis. The, and New Holland machines, with the longest cut, had the most material in the upper sieve and less in the middle sieve. There was no difference in the lower sieve. While these differences were statistically significant, they would have little influence on feed quality. Quality of processing was measured using the Corn Silage Processing Score (CSPS). Although each processor was set at 2 mm, there were differences in size separation between machines, again influenced by the length of cut (Table 4). There was significant difference was observed between the machines for material in the upper screen (> 4.75 mm). Total starch percentage on unshaken samples was equivalent. There was a significant difference in CSPS. The 9060 had the lowest and the was the highest. Starch in large particles (> 4.75mm) is considered to have less nutritional value. The percent of total starch passing through the 4.75 mm screen is optimum when above 70% and acceptable above 50%. Anything below 50% would indicate inadequate processing. These samples were collected at harvest. Length of time in the silage pile does have an impact on CSPS which generally increases with increase time in the pile. References: Heinrichs, Jud. 1996. Evaluating particle size of forages and TMRs using the Penn State Particle Size Separator. DAS 96-20. Lammers, B., D. Buckmaster and A. Heinrichs. 1996. A Simple Method for the Analysis of Particle Sizes of Forage and Total Mixed Rations. Journal of Dairy Science 79:922-928. Mertens, D. and G. Ferreira. 2001. Partitioning in vitro digestibility of corn silages of different particle sizes. Abstract #826, ADSA Meetings, Indianapolis, IN. Acknowledgements: A special thanks to Mid Valley Harvesting, Krone N.A. Company, Garton Tractor, Inc., HB Harvesting and Lamb Chops, Inc. for furnishing equipment and labor and USCHI for funding the sample analysis. Disclaimer: Discussion of research finding necessitates using trade names. This does not constitute product endorsement, nor does it suggest products not listed would not be suitable for use. Some research results included involve use of chemicals, which are not currently registered for use, or may involve use which would be considered out of label. These results are reported but are not a recommendation from the University of California for use. Consult the label and use it as the basis of all recommendations.

Table 1. Machine specifications. Make John Deere Krone New Holland New Holland Model Jaguar 980 7950 Prodrive Big X 1100 FR 9090 FR 9060 Rated Horsepower 860 800 1031 824 544 Header Orbis 750 770 EzyCollect 753 480 FI 450 FI Engine Hours 349 1401 16 40 78 Cutter Hours 309 902 4 20 46 # of Knives 24 40 20 24 24 Processer new 9.8 standard 9.5 w/ Horning Spiral cut rolls 10 chrome roll 123 teeth/roll heavy duty 99/126 tooth heavy duty 99/126 tooth KP Differential 30% 32% 30% 22% 22% Table 2. Machine throughput and time data. Forage Harvested Fresh Chopping Run Chopping Moisture Weight Time Time Time -- Tons -- -- % -- ---- minutes ---- -- % -- 107.2 a 65.5 18.8 b 30.4 63.8 John Deere 108.4 a 67.6 24.3 a 37.1 69.6 109.8 a 66.3 18.4 b 26.0 71.7 FR 9090 104.9 a 64.9 23.1 a 30.5 75.7 FR 9060 84.0 b 64.7 24.2 a 30.5 79.2 LSD 0.05 6.9 ns 2.0 ns ns C.V. % 3.8 4.2 5.2 15.2 9.6 Numbers followed by the same letter are not significantly different. Least Significant Difference. Not Significantly Different. Coefficient of Variation. Table 3. Machine throughput and fuel consumption. Forage Harvested Fuel Fresh Weight Cut Total Chop Run Length Used Time Time Tons/hr Tons/gal mm Gal ------- Gal/hr ------ 342.2 a 8.6 a 17.8 a 12.40 bc 39.7 b 25.5 c John Deere 268.5 b 6.9 c 15.2 c 16.04 a 39.3 b 27.2 bc 354.9 a 7.8 b 15.1 c 14.11 ab 45.7 a 32.8 a FR 9090 274.4 b 6.8 c 16.0 bc 15.55 a 40.6 b 30.7 ab FR 9060 207.9 c 7.2 bc 16.9 ab 11.58 c 28.9 c 22.9 c LSD 0.05 21.4 0.79 1.3 2.5 4.36 5.0 C.V. % 4.2 6.1 4.3 9.0 5.2 9.5

Table 4. Particle Size Analysis Upper Lower Cut Middle > 0.75 < 0.31 Length --------------- % --------------- mm 55.0 ab 33.0 bc 11.7 17.8 a John Deere 40.7 c 44.0 a 15.3 15.2 c 47.3 bc 39.7 ab 13.3 15.1 c FR 9090 57.0 ab 29.3 c 13.7 16.0 bc FR 9060 53.3 ab 35.3 bc 11.3 16.9 ab LSD 0.05 8.05 8.9 ns 1.3 C.V. % 8.4 13.1 17.8 4.3 Table 5. Corn Silage Processing Score Coarse >4.75mm Particle Fractions Starch NDF % passing Fine Medium Total thru 4.75 Total <1.18mm mm screen PE NDF ------------------------------------------ % ------------------------------------------------- 55.7 abc 36.3 abc 8.0 30.9 48.0 ab 47.4 bc 44.5 bc John Deere 54.3 bc 37.3 bc 8.3 25.0 41.0 bc 51.2 a 48.2 a 51.3 c 40.3 a 8.3 30.6 53.3 a 44.8 c 42.8 c FR 9090 60.0 ab 33.0 bc 7.0 26.4 48.0 ab 49.8 ab 47.2 ab FR 9060 61.0 a 32.0 c 6.7 26.8 35.3 c 50.4 ab 47.8 a LSD 0.05 5.7 5.0 ns ns 10.4 ns 3.1 C.V. % 7.1 9.6 11.2 10.5 13.2 6.9 3.8 Physically Effective Neutral Detergent Fiber Table 6. Conversion Table ------Inches ------ mm mm -------Inches ------- 0.31 5/16 8 2 0.08 3/32 0.75 3/4 19 13 0.51 1/2 17 0.67 11/16 4.75 0.19 3/16 1.18 0.05 1/16 Numbers used in this paper use the same units as in the original papers or settings.

9.0 Tons fresh material/gallon fuel 8.0 7.0 6.0 y = 0.3294x + 2.1012 R² = 0.25 5.0 14 15 16 17 18 19 9060 Figure 1. Tons of Fresh Material per Gallon of Fuel versus Cut Length (2012). 400 Tons fresh material/hour 350 300 250 200 y = 25.582x - 122.24 R² = 0.84 150 14 15 16 17 18 19 9060 Figure 2. Tons Fresh Weight per Hour Chop Time Cut versus Length (2012).

Tons fresh material/hour 400 350 300 250 200 y = 18.462x - 9.2778 R² = 0.78 & 9060 data not included in equation 9060 Krone 150 10 12 14 16 18 20 Figure 3. Tons Fresh Weight per Hour Chop Time versus Cut Length (2010-12). Tons fresh material/gallon fuel 9.0 8.0 7.0 6.0 5.0 y = 0.50x - 0.79 R² = 0.72 Krone 9060 4.0 10 12 14 16 18 20 Figure 4. Tons Fresh Weight per Gallon of Fuel versus Cut Length (2010-12).