Prediction of Orchard Soils Degradation using Munsell Soil Color
Vo Quang Minh1, Le Van Khoa2, Thai Thanh Du3, Pham Thanh Vu4, Le Quang Tri5
1Vo Quang Minh*, College of Environment and Natural Resources, Can Tho University, Vietnam, India.
2Le Van Khoa, Department of Research Affairs, Can Tho University, Vietnam, India.
3Thai Thanh Du, College of Environment and Natural Resources, Can Tho University, Vietnam, India
4Than Vu, College of Environment and Natural Resources, Can Tho University, Vietnam, India.
5Le Quang Tri, College of Environment and Natural Resources, Can Tho University, Vietnam, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on April 10, 2020. | PP: 348-343 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3482049620/2020©BEIESP | DOI: 10.35940/ijitee.F3482.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The soil organic carbon content played an important role in reducing soil fertility, then fruit yield and quality. Several studies in Mekong Delta, Vietnam area showed that soil of orchards was degraded after longtime constructed. The prediction of soil organic carbon in the fields at wider regions requires a large number of samples that are costly to analyze. The objective of this study found out the correlation between Munsell soil colour with the content of organic matter of the different orchard soils to predict the content of organic carbon from 52 orchard soil samples of the different ages of construction as soil degraded. A case study in Hau Giang province, Vietnam. The results showed that there was a complicated relation to soil properties. Soil colour has the same Munsell Hue, but there is different between Munsell Value and Chroma when the soil has at the same humidity. Organic Carbon content ranged from 1,32 to 5,6%. There was negative significant correlation between organic C content and Munsell soil color properties, such as with Munsell Value (r = -0,75** air-dry, r = -0,74** moist); Munsell Chroma (r= -0,55** air-dry, r = -0,66** moist). Since, Visual soil colour assessment is useful predictors of organic C content, especially for topsoil layers to predict the degradation of orchard soils. This study indicates that soil organic content can be predicted by using Munsell soil colours for visual field measurements on the old raised bed at the moist condition, which can be used for field soil fertility degradation recommendation. However, more study of pedotransfer function on other soils condition must be correlated for further recommendation.
Keywords: Prediction, Soil colour, Organic carbon, Correlation, Munsell.
Scope of the Article: Regression and prediction