with the collaboration of Iranian Society of Mechanical Engineers (ISME)

Document Type : Research Article

Authors

1 Department of Mechanical Engineering of Biosystems, Shahid Bahonar University of Kerman, Kerman, Iran

2 Department of Biosystems Engineering, Shiraz University, Shiraz, Iran

3 Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, USA

4 Department of Plant sciences, North Dakota State University, Fargo, USA

Abstract

Introduction
Current study tries to find a new simple and practical real-time technique to estimate forage crop nutritional quality indices at field conditions. Estimating these indices help producers to have field quality variation layer to reach the goals of Precision Agriculture. Previous studies have shown that standardized shear characteristics of crop stem would be a good indicator for some nutritional quality indices. In previous studies, laboratory tests were conducted at controlled conditions of crop moisture content, stem diameter and employing standard shear test procedure.
Materials and Methods
In order to simulate field conditions, a two-stage study was conducted in Iran and United States. In the first stage fresh and naturally sun dried alfalfa stems were used in evaluating four levels of crop growth stage and eight loading conditions (four loading rates and two stem conditions). In order to evaluate the effectiveness of shear technique with respect to the conventional harvest method in Iran, shear tests were conducted using fixed and moving knives of a standard square hay baler (John Deere-348). Special fixtures were constructed to attach these knives to a universal testing machine (SANTAM, STM-20). Since evaluation of the suggested method with regard to other quality related factor indices such as different varieties and seeding rates, was not practically feasible in Iran in the second stage of this research, five different varieties and three seeding rates were tested in United States. In this part of the study, shear tests were conducted using modified Varner-Bratzler shear test with universal testing machine (TESTRESOURCES-311). Based on the results of loading rate and stem condition in the first stage, shear tests were carried out using loading rate of 500 mm/min and multiple stem condition. In both stages Specific Shear Energy (shear energy per stem diameter, J mm-1) were calculated using trapezoidal method. In order to compare the shear energy results with crude fiber nutritional quality indices such as Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF) and Relative Feed Value (RFV), all alfalfa samples were analyzed using (Association of Official Agricultural Chemists) AOAC standard analytical laboratory methods. Statistical analyses were consisted of ANOVA mean comparison test at each level of factors and regression analysis to find the correlation between specific shear energy and nutritional quality indices.
Results and Discussion
Results of ANOVA analysis and mean comparisons showed a significant difference in specific shear energy at different levels of loading rates. The higher loading rates showed lower energy which was related to lower ability of knives to cut alfalfa stem thoroughly and shredding the stems at lower speed levels. Significant differences were found in different levels of annual growing cycle, harvest time and seeding rates. Alfalfa stem in fifth harvest year showed the highest shear energy due to higher lignification in plant stems. In the first year, harvested alfalfa stem did not have the lowest shear energy which might be due to existence of weeds in first year field. Results showed higher values of shear energy in fifth harvest of the season in comparison with the third harvest which was acceptable because of differences in plant received Degree Day in these harvest times. The lowest seeding rate (5 kg h-1) showed the highest shear energy respect to the other seeding rates. The reason for this significant difference could be due to lower competition to receive water and nutritions, also lower plant density helps the canopy to receive more sun light which causes higher lignification. Comparing the shear energy means in different varieties didn’t show significant differences which can be explained because of varieties adoptability to the region specific weather condition. The regression analysis showed good correlations between specific shear energy and crude fiber nutritional indices (ADF, NDF and RFV). The negative trends which were found in regression analyses were also reported in similar studies.
Conclusion
Two stage laboratory tests were conducted in order to evaluate the effect of alfalfa nutritional feed quality indices related factors on unitized shear energy. Results showed a significant difference of standardized shear energy mean at different levels of harvest time, annual growing cycle and seeding rates. The specific shear energy was not significantly different in different varieties because of varieties environmental adoptability. The unitized shear energy showed a good correlation with crude fiber related indices with similar trends in both stages of research and good agreements with previous studies.

Keywords

1. Bagg, J. 2003. Predicting Alfalfa Quality Using PEAQ. Ontario Ministry of Agriculture, Food and Rural Affairs. Extension services publications.
2. <http://www.omafra.gov.on.ca/english/crops/facts/info_ndf.htm>
3. Ball, D. M., M. Collins, G. D. Lacefield, N. P. Martin, D. A. Mertens, K. E. Olson, D. H. Putnam, D. J. Undersander, and M. W. Wolf. 2001. Understanding forage quality. American Farm Bureau Federation Publication. 101 Park Ridge, IL.
4. Blackmore, S. 1996. An information system for precision farming. Proc. of Brighton Crop Protection Conference-Pests and Diseases. Brighton Sussex, UK, 1207-1214.
5. Emam, Y. 2003. Cereal Production. 1st Edition, Shiraz University Press, pp. 161, Shiraz. (In Farsi).
6. Herrero, M., C. B. Do Valle, N. R. G. Hughes, V. De O’ Sabatel, and N. S. Jessop. 2001. Measurements of physical strength and their relationship to the chemical composition of four species of Brachiaria. Animal Feed Science Technology 92: 149-158.
7. Hooshmand, H., and M. Loghavi. 2014. Preparing crop yield map using square baler energy consumption method. Journal of Agricultural Machinery 5 (1): 199-205. (In Farsi).
8. Hughes, N. R. G., C. B. Do Valle, V. O’ Sabatel, J. Boock, N. S. Jessop, and M. Herrero. 2000. Shearing strength as an additional selection criterion for quality in Brachiaria pasture ecotypes. Journal of Agricultural Science 135 (2): 123-130.
9. Iwaasa, A. D., K. A. Beauchemin, J. G. Buchanan-Smith, and S. N. Acharya. 1996a. A shearing technique measuring resistance properties of plant stems. Animal Feed Science Technology 57: 225-237.
10. Iwaasa, A. D., K. A. Beauchemin, J. G. Buchanan-Smith, and S. N. Acharya.1996b. Effect of stage of maturity and growth cycle on shearing force and cell wall chemical constituents of alfalfa stems. Canadian Journal of Plant Science 76: 321-328.
11. Iwaasa, A. D., K. A. Beauchemin, S. N. Acharya, and J. G. Buchanan-Smith. 1999. Shearing force of alfalfa stems: effects of cultivar and shearing site. Canadian Journal of Plant Science 79: 49-55.
12. Liu, L., Z. Yang, W. Yang, S. Jiang, G. Zhang, and B. Yao. 2009. Correlations among shearing force, morphological characteristics, chemical compositions, and in situ degradability of alfalfa stem and rye grass stem. Scientia Agricultura Sinica 42 (9): 3374-3380.
13. Loghavi, M. 2003. The Precision-Farming Guide for Agriculturists. 1st Edition, Agricultural Research and Education Organization, pp. 295, Tehran. (In Farsi).
14. Maharlooei, M. M., M. Loghavi, and S. M. Nassiri. 2014. Developing a yield and some nutritional quality indices monitoring system using shear and compression energy method for alfalfa crop. Journal of Agricultural Machinery 4 (2): 184-193. (In Farsi).
15. Mir, P. S., Z. Mir, K. Broersma, S. Bittman, and J. W. Hall. 1995. Prediction of nutrient composition and in vitro dry matter digestibility from physical characteristics of forages. Animal Feed Science and Technology 55 (3-4): 275-285.
16. Nazari-Galedar, M., A. Tabatabaeefar, A. Jafari, A. Sharifi, M. J. O’Dogherty, Sh. Rafiee, and G. Richard. 2008. Effects of moisture content and level in the crop on the engineering properties of alfalfa stems. Biosystem Engneering 101 (2): 199-208.
17. Srivastava, A. K., C. E. Goering, R. P. Rohrbach, and D. R. Buckmaster. 2006. Hay and forage harvesting. Engineering principles of agricultural machines, ASABE Publication, 325-402.
18. Stuth, J., J. Abdi, and D. Tolleson. 2003. Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy. Field Crops Research 84: 45-56.
19. Varella, A. C., D. J. Moot, K. M. Pollock, P. L. Peri, and R. J. Lucas. 2011. Do light and alfalfa responses to cloth and slatted shade represent those measured under an agroforestry system. Agroforestry systems 81 (2): 157-173.
20. Womac, A. R., M. Yu, C. Igathinathane, P. Ye, D. Hayes, S. Narayan, S. Sokhansanj, and L. Wright. 2005. Shearing characteristics of biomass for size reduction. ASABE Annual meeting. Tampa, Florida.
21. Yang, Z., Z. Wang, W. Yang, S. Jiang, and G. Zhang. 2010. Correlations among shearing force and chemical compositions of wheat stems. Journal of Animal Sciences 88: 1243-1252.
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