SOIL DEGRADATION OF RAISED BEDS ON ORCHARDS IN THE MEKONG DELTA FIELD AND LABORATORY METHODS Pham Van Quang September 2013 TRITA-LWR PhD Thesis 1073 ISSN 1650-8602 ISRN KTH/LWR/ PhD 1073-SE ISBN 978-91-7501-857-7 Pham Van Quang TRITA LWR PhD Thesis 1073 © Pham Van Quang 2013 PhD Thesis Land and Water Resources Engineering Department of Sustainable development, Environmental science and Engineering Royal Institute of Technology (KTH) SE-100 44 STOCKHOLM, Sweden Reference should be written as: Van Quang, P. (2013) “Soil degradation of raised-beds on orchards in the Mekong delta - field and laboratory methods” TRITA LWR PhD thesis 1073. ii Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods D EDICATION To my family with respectful gratitude, My wife Nguyen Thi Thanh Xuan, My daughter Pham Xuan Huong, and My son Pham Quang Duy iii Pham Van Quang TRITA LWR PhD Thesis 1073 iv Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods S UMMA RY IN V IETNAMESE (T OÙM LÖÔÏC ) Suy thoái ÿҩt là mӝt tiӃn trình phӭc tҥp xuҩt hiӋn ӣ mӑi nѫi, mӑi lúc làm tác ÿӝng trӵc tiӃp ÿӃn các quá trình lý, hóa và sinh hӑc trong phүu diӋn ÿҩt. Nó có thӇ là kӃt quҧ cӫa các hoҥt ÿӝng do tӵ nhiên hoһc do con ngѭӡi nhѭ sӱ dөng sai hoһc thӵc hành quҧn lý ÿҩt ÿai bҩt hӧp lý. Cho dù nguyên nhân thӃ nào chăng nӳa, suy thoái ÿҩt cNJng gây ra các ҧnh hѭӣng bҩt lӧi nһng nӅ lên cây trӗng và sӭc sҧn suҩt cӫa ÿҩt. Suy thoái ÿҩt có thӇ thúc ÿҭy hàng loҥt các quá trình nhѭ là xói mòn, nén dӁ, mҩt vұt liӋu hӳu cѫ và sinh vұt ÿҩt, ÿóng váng bӅ mһt và ô nhiӉm. Luұn văn này trình bày sӵ ÿánh giá vӅ các ÿһc tính cӫa ÿҩt ÿӇ mӣ mang sӵ hiӇu biӃt vӅ suy thoái ÿҩt trên các vѭӡn cây ăn trái ӣ ÿӗng bҵng song Cӱu Long. Thí nghiӋm thӵc hiӋn trên 10 vѭӡn cam quít vӟi khoҧng thӡi gian thành lұp vѭӡn tӯ 1970 ÿӃn 1998 tҥi tӍnh Hұu Giang. Mүu ÿҩt ÿѭӧc lҩy vào mùa khô năm 2010 ӣ hai ÿӝ sâu cho mӛi vѭӡn ÿӇ phân tích các chӍ tiêu lý hóa ÿҩt. Sӭc kháng xuyên cӫa ÿҩt ÿѭӧc ÿo ÿӏnh kǤ mӛi tuҫn kӃt hӧp vӟi lҩy mүu ÿӇ xác ÿӏnh ҭm ÿӝ ÿҩt trong suӕt khoҧng thӡi gian 5 tháng. KӃt quҧ phân tích cho thҩy pH ÿҩt có khuynh hѭӟng giҧm, sӵ thiӃu và mҩt cân bҵng dinh dѭӥng ÿҩt ngày càng lӝ rõ, và cҩu trúc ÿҩt ÿang xҩu ÿi theo ÿӝ tuәi cӫa vѭӡn. Các biӋn pháp phòng ngӯa và phөc hӗi cҫn ÿѭӧc quan tâm ÿӕi vӟi viӋc phөc hӗi và duy trì chҩt lѭӧng cӫa ÿҩt và nѭӟc ngҫm. Các biӋn pháp nên bao gӗm (1) trung hòa ÿӝ chua ÿҩt, (2) cân bҵng dinh dѭӥng, (3) duy trì vұt liӋu hӳu cѫ trong ÿҩt, và (4) áp dөng chӃ ÿӝ tѭӟi thích hӧp. v Pham Van Quang TRITA LWR PhD Thesis 1073 vi Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods A CKNOWLEDGEMENTS I would like to express my sincere gratitude to the Department of Land and Water Resources Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden and the many people who have helped and supported me in various ways, during my field survey in Vietnam as well as data analysis in Sweden. This statement is to thank them for their tremendous enthusiastic help. I greatly appreciate Mr. Ngo Xuan Hien, section of agriculture and rural development, Chau Thanh district, Hau Giang province in Vietnam for help and encouragement during the fieldwork activities. I thank all the local farmers for their kind support at the study locations. College of Agriculture and Applied Biology at Can Tho University in Vietnam are gratefully acknowledged with the facility support. I would like to express my deepest gratitude to my main supervisor Per-Erik Jansson for his great guidance, understanding, encouragements, advice and support for my research works. I would also like to thank my co-supervisor Dr. Le Van Khoa for his kind advice and comments during the study. I would like to thank Britt Chow and Aira Saarelainen for their efficient and kind help with all administrative matters. Joanne Fernlund was able to share her precious time to help me to meet all the format regulations of my thesis by KTH. Many thanks go to Dr. Ewa Wredle, department of Animal Nutrition and Management, the Swedish University of Agricultural Sciences for arranging the comfortable accommodation during the time I stayed in Uppsala, Sweden. I also thank Mr. Huynh Ngoc Duc and Mr. Pham Xuan Phu for their assistance during data collection. Miss Ly Ngoc Thanh Xuan, Mr. Nguyen Van Chuong and analysis laboratory staff, Faculty of Agriculture and Natural Resources, An Giang University, Vietnam for their help with soil chemical testing. I thank my close friends from Vietnam for sharing many funny stories and parties during my stay in Uppsala, Sweden. I also thank my colleagues in Faculty of Agriculture and Natural Resources, An Giang University: Pham Huynh Thanh Van, Thai Huynh Phuong Lan, Ly Ngoc Thanh Xuan, Huynh Ngoc Duc, Pham Xuan Phu, Pham Duy Tien, Nguyen Van Kien, Tran Van Hieu. Many thanks go to Mr. Nguyen Thanh Trieu and Nguyen Thanh Tinh for many kinds of help. Many thanks go to Dr. Charles Howie for checking the English language. I would also like to express my deepest gratitude to my parents-in-law for their continuous supports, taking care of my children and encouragements during my study. I wish to express my heartfelt gratitude to my parents for their holy motivation, which led to successful completion of this thesis. Last, but not least, I want to thank to my wife Nguyen Thi Thanh Xuan and my children Pham Xuan Huong and Pham Quang Duy for their understanding, supports and encouragements, which inspired me to accomplish this work. Financial support from the Vietnamese Government, partly by KTH and the utilization of enormous facilities at the Royal Institute of Technology (KTH), Stockholm, Sweden, is gratefully acknowledged. Pham Van Quang Stockholm, September 2013 vii Pham Van Quang TRITA LWR PhD Thesis 1073 viii Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods T ABLE OF CONTENT Dedication .................................................................................................................... iii Summary in Vietnamese (Toùm löôïc) .............................................................................. v Acknowledgements ..................................................................................................... vii Table of content ........................................................................................................... ix List of tables ................................................................................................................. xi List of figures................................................................................................................ xi Abbreviations and symbols ........................................................................................ xiii List of papers ............................................................................................................... xv Abstract.......................................................................................................................... 1 Introduction................................................................................................................... 1 Study objectives ........................................................................................................ 3 Scope of the study..................................................................................................... 4 Soil compaction formation concept ......................................................................... 4 Methods ......................................................................................................................... 5 Field experiment performance ................................................................................. 5 Sites descriptions .............................................................................................................................................. 5 Sampling and analysis ..................................................................................................................................... 6 Soil penetration resistance measurement ........................................................................................................... 7 Results ........................................................................................................................... 8 Chemical properties on raised-bed soil (Paper II) ................................................... 8 Physical properties on raised-bed soil (Paper III) ................................................... 8 Soil penetration resistance (Paper IV)...................................................................... 8 Discussion ................................................................................................................... 12 Soil properties assessment...................................................................................... 12 Chemical properties........................................................................................................................................ 12 Physical properties ......................................................................................................................................... 13 Soil amendments .................................................................................................... 16 Essential Plant Nutrients - their functions, and role of fertilizers ................................................................... 16 General soil amendments to raised-bed orchards in the Mekong delta ............................................................. 17 Conclusions and recommendations ............................................................................ 23 Future work ................................................................................................................. 24 References ................................................................................................................... 25 ix Pham Van Quang TRITA LWR PhD Thesis 1073 x Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods L IST OF TABLES Table 1. Major soil groups in the Mekong Delta. ................................................................. 2 Table 2. 10 study locations selected in Hau Giang province, Mekong delta, Vietnam ........................................................................................................................ 6 Table 3. Ratings of chemical properties on observed raised-beds ..................................... 8 Table 4. Fertilizer recommendation for citrus trees (adapted from Le Thanh Phong et al., 1996) .................................................................................................... 18 Table 5. Different methods of irrigation scheduling.......................................................... 20 L IST OF FIG URES Figure 1. Cross section of raised-bed construction – reverse order compared to original soil. .................................................................................................................. 3 Figure 2. Cross section of a raised-bed construction – the same order as in the original soil. .................................................................................................................. 3 Figure 3. Conceptual diagram of soil formation processes in raised-bed soils ................ 5 Figure 4. (a) Provincial Administrative Boundary Map of the Mekong Delta, (b) Map of Hau Giang Province, (c) Studied Sites Map – Extracted from Google Earth. .............................................................................................................. 6 Figure 5. Average penetration resistance at the different age of the raised-beds and soil depths on all the observed period of 22-01-2010 to 02-06-2010. Red dashed line: critical PR of 2.5 MPa. ................................................................. 9 Figure 6. Soil penetration resistance recalculated by PR = a1ƨ + a0 (ƨ estimated from water retention curves at pF value of 2, 2.5, 3 and 4.2) for soil depths. ......................................................................................................................... 10 Figure 7. Slope coefficient plotted versus age of raised-beds on different soil layers............................................................................................................................ 11 Figure 8. Slope coefficient plotted versus age of raised-beds on different soil layers............................................................................................................................ 12 Figure 9. Soil test interpretation categories redrawn from Havlin et al. (1999) ............. 19 Figure 10. Fertilizer recommendation scheme published in Vitosh et al. (1995). ......... 20 xi Pham Van Quang TRITA LWR PhD Thesis 1073 xii Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods A BBREVIATIONS AND SYMBOLS ANOVA AWC CWR FBMP FC 4Rs LSD MD mEq MPa PCA PR SOM SPSS SWRC WP ANalysis Of VAriance Available Water Content Crop Water Requirements Fertilizer Best Management Practices Field Capacity Right source/Product, Right rates, Right time, and Right place Least Significance Difference The Vietnamese Mekong delta Milliequivalents Megapascal Principal Component Analysis Soil Penetration Resistance Soil Organic Matter Statistical Package for the Social Sciences Soil Water Retention Curves Wilting Point xiii Pham Van Quang TRITA LWR PhD Thesis 1073 xiv Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods L IST OF PA PERS I. Van Quang P., Jansson P-E., 2008. Development and description of soil compaction on orchard soils in the Mekong Delta (Vietnam). Scientific Research and Essays 3 p:500-504. II. Van Quang P., Guong V.T., 2011. Chemical properties during different development stages of fruit orchards in the Mekong delta (Vietnam). Agricultural Sciences Vol.2, No.3, p:375-381. III. Van Quang, P., Jansson, P-E., and Guong, V. T., 2012. Soil physical properties during different development stage of fruit orchards. Journal of Soil Science and Environmental Management Vol. 3(12), p: 308-319. IV. Van Quang, P., Jansson, P-E., and Le Van Khoa, 2012. Measurements of soil penetration resistance to investigate tendencies and explanations of compaction for orchard soil. International Journal of Engineering Research and Development, Volume 4, Issue 8 (November 2012), p: 87-96. xv Pham Van Quang TRITA LWR PhD Thesis 1073 xvi Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods A BSTRACT Soil degradation is a complex process which may occur anywhere and at any time. It directly affects the physical, chemical and biological processes within the soil profile. Soil degradation can either be as a result of natural hazards or due to manmade actions, such as mismanagement on cropping patterns, soil preparation and cultivation practices. Regardless of how it is caused, soil degradation has strong negative effects on plant and soil productivity. Soil degradation can accelerate a series of processes such as erosion, compaction, loss of organic matter, loss of whole soil biota, surface sealing and contamination. This thesis presents the assessment of soil properties to improve our understanding of soil degradation on raised-bed orchards in the Vietnamese Mekong delta (MD). Measurements were made on 10 citrus plantations which had been established during a range of years from 1970 to 1998 at Hau Giang province. Soil sampling was made in the dry season of 2010 at two soil depths for each raised-bed to determine soil chemical and physical properties. The soil penetration resistance (PR) was periodically measured once a week together with soil sampling for moisture measurements during a period of 5 months. Analysis indicated the pH value of the soil was tending to decrease, nutrient imbalance and deficiency was developing, and the soil structure was deteriorating during the age since the raised-beds were originally constructed. Preventive and restorative measures need to be considered for restoring and retaining the quality of the soil and the ground water. These measures should consist of (1) neutralizing of excess acidity, (2) balancing of nutrients, (3) maintaining of soil organic matter, and (4) application of appropriate irrigation schedules. Key words: citrus orchards; nutrient; soil fertility; soil strength; soil degradation; alluvial soil; Mekong delta I NTRODUCTION The Vietnamese Mekong Delta (MD) covers an area of 3.9 million ha located in the southern territory of Vietnam. It extends from latitudes 104°30’E to 107°E and longitudes 8°30’N to 11°N, bordered by the Gulf of Thailand to the west, the Eastern Sea to the east and to the south, Ho Chi Minh City to the north, and Cambodia to the north-west. There are 13 provinces located in the MD with a population estimated to be 17.3 million people (20 % of the total of the Vietnamese population in Vietnam). The average population density is 426 persons per square kilometer over the whole delta (General Office of Statistics, 2010). The MD has a monsoon tropical climate, characterised by two distinct seasons - the dry season and the wet season. The dry season runs from December to April and the wet season from May to November. The average rainfall ranges from less than 1500 mm to more than 2500 mm, 90 % of which occurs during the rainy season. The mean temperature ranges from 23 to 25 °C during the coldest months and from 32 to 33 °C during the warmest months. The humidity is high in the rainy season, the highest in September (91%), and the lowest in the dry season (79 – 82%). The MD is a young land mass formed and developed during the Holocene period by transgression and regression of the sea (Nguyen Huu Chiem, 1993). The soils are mainly formed by the deposition of sediment from the rivers (Mekong and Bassac rivers) and the sea. The sediment is carried by flood water deposited along the banks of the 1 Pham Van Quang TRITA LWR PhD Thesis 1073 Table 1. Major soil groups1 in the Mekong Delta. 2 Soil type Area (km ) Alluvial Acid sulphate Saline Saline acid sulphate Old alluvial Peat Mountainous 10943 10543 8903 6214 1090 341 347 Mekong1 and Bassac rivers. It tends to form ridge-shaped natural levees with relatively large particles of sediment parallel to the riverbanks (Funabiki et al., 2007; Hori, 2000; Tamura et al., 2007). This effect has given rise to different distributions of soil texture over the different areas: the further from the riverbanks, the finer the soil texture. There are seven major soil types in the MD, as summarised in Table 1 (Le Van Khoa, 2002; Nguyen Bao Ve and Vo-Tong Anh, 1990). Agriculture in the MD is based on land that has been reclaimed and used since the 17th century (Huynh Lua, 1987). Many management methods have been used to grow paddy rice, such as burning, ploughing, making dikes, etc. Traditionally, a single rice crop was cultivated but due to food security issue and the rapid population growth, a double rice crop system was initiated in the 1930s, and a triple rice crop system was introduced around 1980. In addition to rice cultivation, large areas are used for upland crop and fruit trees. The topography of the MD is generally flat and low. The elevations range from 0 to 4 m above sea level, with the exception of some hills and mountains (Mount Cam in An Giang Province 716 m, Mount Co To in Kien Giang Province 258 m). The MD receives annual flooding. It usually happens in August - November, with an average flooding depth from 0.8 to 1.5 metre. Consequently, farmers have had to build so-called ‘raised-beds’ to avoid submergence of upland crops, most of which are grown in lowland areas with alluvial soils, to keep the trees above the flood level. Excavating and heaping of soil materials have pushed the raised-beds up from the adjacent lateral ditches. The raised-beds are the long soil strips that are higher than the original ground surface as illustrated in Figs. 1-2, which show cross-sections of stages in raised-bed constructions. Soil layers in the raised-beds can be arranged in reverse order (Fig. 1) or in the same order as the original soil (Fig. 2). Efforts have been made to improve soil quality/primary production, plant varieties and management methods. Research on plant varieties and farming systems has resulted in positive effects on crop yield, disease tolerance, better practical techniques and a more suitable cropping calendar (e.g. Buu and Lang, 2004; Dang Quang Tinh and Pham Thanh Hang, 2003; Hien and Thi, 2001; Lang et al., 2007; Lang et al., 2001; Thi Lang and Chi Buu, 2003; Thi Lang et al., 2001; Tu et al., 2003; Vo-Tong Xuan, 1991). 1 Based on USDA/Soil Taxonomy, 1996 and grouped into major soils 2 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods Figure 1. Cross section of raised-bed construction – reverse order compared to original soil. Figure 2. Cross section of a raised-bed construction – the same order as in the original soil. Soil chemical processes, soil nutrients and soil biology have also been taken into account, e.g. in studies conducted by Vo Thi Guong et al. (1995), Tran Kim Tinh (1999), and Tran Kim Tinh et al. (2001), Berglöf et al. (2002), Nguyen My Hoa (2003), Tan et al. (2003), Chau Minh Khoi et al. (2006) and Chau Minh Khoi et al. (2008). Process-orientated models which describe the behaviour of the entire soil-plant-atmosphere system are important tools in understanding water management and the extent to which soil physical conditions impact on plant growth (Jansson, 1996). Previously, Van Quang (1998; 2009) and Vo Khac Tri (1998) applied a soil physical model to the conditions in the MD. Experimental studies on soil physics in the MD have also been reported by Le Quang Minh (1996), Uppenberg et al. (1997) and Le Van Khoa (2002). There have been warnings of soil degradation in the MD during recent years, not only in rice farming areas but also in fruit-growing areas especially in intensive cropping. Some studies of soil physics indicated that soil compaction has occurred between 20-40 cm soil depth and its thickness varies from 35 to 50 cm in the intensive rice cultivation areas; this compaction was apparent at higher soil density, lower soil porosity (less than 50 vol-%) and lower saturated hydraulic conductivity (Le Van Khoa, 2002). Chemical soil degradation has also occurred, as evidenced by nutrient depletion, acidification and sodification (Le Van Khoa, 2002). Vo Thi Guong et al. (2005) reported soil physical and chemical degradation in citrus plantations in the MD and identified trends of soil compaction during the ageing of the raised-beds. The cross-sectional area and length of soil pores decreases during the ageing of the raisedbeds, resulting in a decrease in bypass flow rates (Le Quang Minh, 1996). Study objectives Research aims to improve the knowledge on soil degradation of the raised-beds on fruit orchards in the Mekong delta. Specific objectives were: • To review the available literature from the MD and the impacts of agricultural activity on soil degradation on fruit orchard soils. • To assess soil fertility based on soil chemical properties on raisedbeds of different age. 3 Pham Van Quang TRITA LWR PhD Thesis 1073 • • • To assess the soil compaction on soil physical properties during different development stages of fruit orchards. To examine soil penetration resistance and its dependence on soil moisture and age of the raised-beds in the MD. To provide general guidelines regarding what soil amendments/conditioners should be used to increase the fertility and adjust the pH as well as improve the water management practices. Scope of the study Paper I reviews the previous available studies with respect to soil degradation from the MD on both rice farming systems and upland crops. The results in Papers II-IV are further steps performed at the field scale on 10 selected citrus plantations in the Hau Giang province in the MD. This information is based on Paper I and a previous study on soil formation and soil moisture dynamics in agricultural fields in the MD (see Van Quang, 2009). In Papers II and III, an examination of soil chemical and physical properties was made in order to evaluate soil fertility and soil compaction during different development stages of fruit orchards by analyzing soil samples in the laboratory. Paper IV dealt with soil penetration resistance measured by using a portable electronic penetrometer. The relationship between PR and soil moisture was analyzed by using linear regression methods based on the penetration resistance data series and soil moisture data. Soil compaction formation concept Due to raised-beds’ construction, the soil rearranges itself to get a stable state under natural conditions and human activities by time. The reconstruction processes of soil physical characteristics in the raised-beds can briefly be described as follows: • The alternate drying and wetting cycles of the raised-bed soils in the MD are in combination with the fine soil texture. • Cracks on the raised-beds are normally formed during the dry season or during drought periods in the rainy season. • The soils in the raised-beds have been subject to overtopping and internal erosion processes. • When the bank is built for the first time, the space distribution in situ is very high. • Larger soil blocks break down into smaller blocks through weathering processes and the mechanical process of preparing the soil surface for planting. The soil particles are gradually rearranged until they become stable. • Fine-grained soil particles move with the flow of rain or irrigation water and gradually fill up the soil gaps. If the clay content of the soil is high, this can cause an increase in soil resistance. • Soil aeration exposes soil organic matter, and speeds up the breakdown of organic matter by oxidation processes. This is harmful to soil structure and leads to a rapid increase in soil density. • The rise in water level due to the rainy season or irrigation and the fall in water level due to the dry season or drainage will lead to changes in soil volume. • Cultivation activities, such as irrigation, drainage and weed removal from the raised-beds can accelerate the soil compaction rate. 4 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods Wet and dry circle Human’s activities Breakdown of soil blocks Forming cracks Time Modify the effects of texture on other properties (cementing agents) Erosion All soil particle size Suffusion Smaller soil particle sizes Soil loss/bulk density Bulk density Aggregate/structure Conductivity Finer soil particle sizes Clogging Compaction Figure 3. Conceptual diagram of soil formation processes in raised-bed soils Therefore, the soil in the raised-beds is affected by a complex process comprising of a core component of physical, chemical and biological factors, together with factors relating to climate and agricultural practices. The physical process can be summarized as a diagram as shown in Fig 3. M ETHODS Field experiment performance Sites descriptions The study was carried out on 10 randomly selected raised-beds at different age in the Hau Giang province, MD (Table 2, Fig. 4). The selection of raised-beds was based on the investigation of 60 currently used raised-beds – a previously unpublished report from the Can Tho University, Vietnam. The selected sites were then reinvestigated to exactly record the year of construction. Citrus trees have been grown since the onset of raised-bed construction. The soil is classified as an alluvial soil (Soil Science Department, CTU 1985-1996; Soil Survey Staff, 1996). The soil texture is classified as silty clay. The raised-beds were constructed by excavating and heaping up soil materials from adjacent lateral ditches to form the long raised strips that are higher than the original ground surface (Fig. 1). Soil layers on the raised-beds were commonly arranged in the reverse order compared to the sequence of soil master horizons in natural soils. 5 Pham Van Quang TRITA LWR PhD Thesis 1073 Figure 4. (a) Provincial Administrative Boundary Map of the Mekong Delta, (b) Map of Hau Giang Province, (c) Studied Sites Map – Extracted from Google Earth. Table 2. 10 study locations selected in Hau Giang province, Mekong delta, Vietnam Locations Latitude 1 2 3 4 5 6 7 8 9 10 9 53' 44.38'' o 9 53' 28'' o 9 53' 35.74'' o 9 53' 31.7'' o 9 53' 28'' o 9 53' 35.7'' o 9 53' 29.18'' o 9 53' 38.47'' o 9 54' 2.7'' o 9 53' 29.22'' Longitude o o 105 43' 41.09'' o 105 43' 57.14'' o 105 43' 47.75'' o 105 43' 42.78'' o 105 43' 29.46'' o 105 43' 41.27'' o 105 43' 50.7'' o 105 43' 45.34'' o 105 43' 49.4'' o 105 43' 41.16'' Age (years) 15 17 19 28 30 31 32 33 35 37 Sampling and analysis Data collection started at the beginning of the dry season (January 2010) after the flooding level had receded and the ground water was below the surface of the raised-beds. Soil samples were randomly taken on each of the selected raised-beds at 0-20 cm (topsoil) and 20-50 cm (subsoil) depths with four replicates including undisturbed core samples (5 cm long and 5 cm in diameter - approximately 100 cm3 in volume) and disturbed soil samples of about 4 kg for each layer. All undisturbed core samples were taken by augering to a desired depth using a bulk density auger. Disturbed samples were collected by digging using a shovel. Disturbed soil samples were air-dried, homogenized and sieved through a 2 mm mesh screen to determine soil chemical properties including pH, organic matter, CEC, total nitrogen, NH4+, NO3– and exchangeable Ca2+, Mg2+, K+ as well as available phosphorous. Statistical analyses were performed by using the SPSS statistical package (version 16). Soil physical analysis included bulk density, saturated conductivity, water retention, and soil texture. Data were analyzed by using the SPSS statistical package (version 16). A two-way ANOVA with the two factors (age of raised-beds and soil depths) was performed to evaluate the soil physical properties. In case no interaction effect between age and soil depths on soil properties was detected, a one-way ANOVA with an 6 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods “age” factor was applied for each of the depths individually. Differences in the mean soil physical properties were determined using the least significant difference (LSD) at the 0.05 significant levels. A Pearson correlation analysis was applied to estimate the relationships among soil properties and age of the raised-beds. A principal component analysis (PCA) was used to elucidate the main relationships between variables based on the correlation matrix. The final component structure was included only when principal components with eigenvalues greater than unity were found. The purpose of the PCA was to discriminate between clay content and age from the impact of soil ageing on compaction. Soil penetration resistance measurement This study used a portable electronic penetrometer, with a built-in data logger for storage and processing of a great number of measuring data (500 measurements), developed by Eijkelkamp Agrisearch Equipment, the Netherlands. The penetrologger method had a measuring range of 1000 N (10 MPa). The PR was measured using a load cell connected to a cone screwed onto the bottom end of a bipartite probing rod. The cone used in this study had a 60° angle and the base area of 1 cm2. An internal ultrasonic sensor accurately registered the vertical distance above the soil surface, and the load cell was used to calculate the PR at each cm and the device stored data up to the depth of 80 cm in the profile. Speed penetration was set at 1 cm·s-1. Data were periodically collected from 10 raised-beds with once a week, started from 22-01-2010 to 02-06-2010 (a data series of ten points). On each raised-bed, penetrometer measurements were designed into three plots and three ‘penetrations’ were carried out to obtain a representative average result per plot automatically. At the same time as PR measurements, soil samples were also taken from a distance within 0.1 m from the PR measurement points. Sampling depths were selected in the following intervals, 0 to 10 cm; 10 to 20 cm; and so on down to water level. Soil samples were then collected to determine the soil moisture by the dried method at 105 °C in the laboratory. The measured soil water retention characteristic curves were used to convert the volumetric moisture content data to water potential (pF). The volumetric moisture content was calculated from the mass moisture content and bulk density. A subset of PR data series was extracted from the PR measurements. The depths of 5, 15, and 25 cm from the soil surface were considered as representatives for the layers of 0-10, 10-20, and 20-30 cm respectively. The relationship between the PR and soil moisture (and pF values as well) was calculated by a linearly regressive technique for the observed period (from 22-01-2010 to 02-06-2010) on 10 raised-beds. The general equations are as following: PR = a1ƨ + a0 (for soil moisture) and PR = a1pF + a0 (for pF values) (1) (2) Where PR is soil penetration resistance; a1 is slope coefficient; a0 is intercept; ƨ is soil moisture; and pF is the base 10-logarithm function of the soil pressure head expressed in cm of water. Comparisons of the differences between the raised-beds were determined by using Student’s t-test with 0.05 significant levels. 7 Pham Van Quang TRITA LWR PhD Thesis 1073 R ESULTS The results obtained from Paper I played a role as a groundwork for further steps in this thesis. There was a tendency of gradual decrease of soil pH, organic matter, total nitrogen and available nitrogen according to the ages of the raised-beds (Table 3. in Paper I). Higher soil penetration resistance (Table 4. in Paper I) and bulk density was identified through statistical analysis in respect of older raised-beds. Remarkable points were that the trends of soil degradation during the ageing of the raised-beds on both chemical and physical views. Chemical properties on raised-bed soil (Paper II) The results of soil chemical analysis on the raised-beds are summarised in Table 3. The ratings were according to the criteria reported from Abbott (1985), Bruce and Rayment (1982), Marx et al. (1996) and Metson (1961). Physical properties on raised-bed soil (Paper III) Soil texture can be classified as clay to silty-clay soil. The bulk density of topsoils ranged from 0.76 to 1.24 g·cm-3. Saturated hydraulic conductivity spanned the range from 2.04-5.5 m·day-1. Organic matter was in the range of 3.0-12.2% (Table 4 and 5 in Paper III). Soil water retention curves (SWRC) had rather gentle shape as the volumetric water content gradually changed with soil pressure heads but different shapes among the sites as well as the soil depths within each site were found (Fig. 2 in Paper III). The results of correlation analysis and Principal component analysis (PCA) are shown in Table 9 - 12 and Fig. 4 in Paper III. The PCA result was consistent with the correlation analysis. Soil penetration resistance (Paper IV) Soil penetration resistance (PR) plotted against soil depth under the different raised-beds was shown in Fig. 5 for the observed period of 2201 to 2-06-2010 (average values). The PR values changed in the range of 0.13 - 3.05 MPa with confidence intervals from 0.03 to 0.52 MPa in a soil profile of 60 cm depth (Fig. 3 in Paper IV). Soil bulk density data and SWRC were reused from Paper III to calculate the volumetric moisture content and to convert volumetric moisture content data to water potential expressed as pF. The results of soil water content (vol-%) and PR with time were shown in Fig. 4 (in Paper IV) for three soil depths (0-10 cm, 10-20 cm and 20-30 cm). Volumetric soil water content and pF values at different raised-beds were shown in Fig. 6 and 7 (in Paper IV) for 3 soil layers. Table 3. Ratings of chemical properties on observed raised-beds Very low pH-water (1:2.5) –1 CEC (cmol·kg ) OM (%) + –1 K (cmol·kg ) 2+ –1 Ca (cmol·kg ) 2+ –1 Mg (cmol·kg ) Ntotal (%) –1 + NH4 (cmol·kg ) – –1 NO3 (cmol·kg ) –1 Available P (mg·kg ) Low Moderate High Very high 3.93 - 5.11 14.18 - 22.07 2.99 - 12.19 0.22 - 0.81 4.41 - 9.85 1.45 - 6.43 0.10 - 0.27 14.31 - 37.44 9.37 - 64.83 14.64 - 43.21 8 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods Figure 5. Average penetration resistance at the different age of the raised-beds and soil depths on all the observed period of 22-01-2010 to 02-06-2010. Red dashed line: critical PR of 2.5 MPa. 9 Pham Van Quang TRITA LWR PhD Thesis 1073 Figure 6. Soil penetration resistance recalculated by PR = a1ƨ + a0 (ƨ estimated from water retention curves at pF value of 2, 2.5, 3 and 4.2) for soil depths. 10 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods The average PR at the soil layers of 0-10 cm (layer 1), 10-20 cm (layer 2) and 20-30 cm (layer 3) for the period of 22-01 to 02-06-2010 were shown in Figure 8. Linear relationships between the PR against age of the raised-beds (R2 > 0.7) were obtained for three soil layers. The relationships represented the increasing trend of PR versus the aging of the raised-bed. The highest PR values obtained at all three layers were measured on the 35-year-old raised-bed and the lowest PR were found on 15-year-old raised-bed, except for 28-year-old raised-bed. The PR values, which were greater than 2.5 MPa, were found at the 30, 31, 32, 33, 35 and 37-year-old raised-beds for layer 1, at the 31, 32, 33, 35 and 37-year-old raised-beds for layer 2, and at the 33, 35 and 37-year-old raised-beds for layer 3 (Fig. 5). The recalculations of PR based on regression equations (PR = a1ƨ + a0) correspondingly using soil moisture values at pF of 2, 2.5, 3 and 4.2 were presented in Fig. 6 for layer 1, 2, and 3. The results showed the increasing trend of PR with age of the raised-beds on whole soil profile. PR values were higher corresponding to the lower in soil moisture. Similarly, the results of PR by using equation 2 with pF values of 2, 2.5, 3 and 4.2 were not significant differences compared to equation 2 The slope coefficients increased with the soil depth as well as with age of the raised-beds (Fig.7). The relationship between a1 (from eq. 1) and age of the raised-beds was significantly consistent with linearity (R2 > 0.7). The plot of a1 versus age becomes more scattered for deeper layers, this was reflected by the decrease in R2 (Fig. 7). In contrast to soil moisture, the slope coefficients (from eq. 2) decreased with soil depth as well as with age of the raised-beds (Fig. 8); however, the plot of a1 versus age of the raised-beds was more dispersed. Figure 7. Slope coefficient plotted versus age of raised-beds on different soil layers. 11 Pham Van Quang TRITA LWR PhD Thesis 1073 Figure 8. Slope coefficient plotted versus age of raised-beds on different soil layers. D ISCUSSION Soil properties assessment Chemical properties Soil plays a vital role in the growing of crops and it is also a major source of plant nutrients. The constituents of soil include living organisms, residual mineral matter, organic matter so-called “humus”, air and water. Each of these components is not only highly important in soil genesis but it also plays a major role in determining the suitability of the soil for crop production (Magdoff and Van Es, 2009). In the nature, they may be able to adjust to reach a dynamic equilibrium state among themselves. However, the activities of humans may directly or indirectly disrupt this state. For example, natural vegetation is removed from the ground surface. This may benefit on one side, i.e., less nutrient competition, but the soil will face to a problem of water erosion. In the long term, soil organic matter is depleted and it becomes a source of carbon dioxide for the atmosphere (a greenhouse gas associated with global warming). Hence, there could be potentially harmful effects all the way back to soil organisms and plants. Imbalances of soil nutrients due to fertilizer addition are another example. It is obvious that one cannot get healthy plants from unhealthy soils. Generally speaking, soil quality involves the sufficient quality of physical, chemical, and biological properties. Chemical properties (or soil fertility) depend on a favourable interaction between soil components and phases 12 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods that optimize the soil physical quality (Lal and Shukla, 2004). Consequently, they successively affect the biological soil properties. In this study, the results obtained from the analyses of soil chemical properties in the raised-beds (Paper II), indicate that there were two main issues including a low soil pH and a nutrient deficiency or nutrient imbalance. A low pH may lead to a deficiency of major plant nutrients such as Ca2+ and Mg2+, as well as Nitrogen and Phosphorus. Adsorbed H+ and Al3+ ions may predominate over the cation exchange capacity. At soil pH (<5), aluminium and manganese could become toxic to plants. A decrease in organic matter with the aging of raised-beds may contribute to the decrease in negatively charge components and this may then reduce nutrient holding capacity of the soil. Restrictions of soil nutrients to plants was reflected through a moderate cation exchange capacity (CEC) and an imbalance of cations in the observed raised-bed soils, which was clarified by the concentrations of exchangeable cations K+, Mg2+ and Ca2+ and a low base saturation percentage of calcium, magnesium, and potassium in the soil. In addition, the soil contained too much fertilizer residues which was illustrated by high soil NH4+-N and NO3–-N levels as well as high levels of available phosphorus (Table 3). In summary, the soils in observed raised-beds have resulted in several adverse soil chemical characteristics. Physical properties Soil physical properties during different development stages of fruit orchards were discussed in Paper III. The results of a correlation analysis and PCA calculations were enough to discriminate between clay content and age from the impact of soil ageing on compaction. The clay content mostly showed the impact on the range of small pore sizes, while the aging of the raised-beds exhibited the influence on the range of larger pore sizes. The clay content showed a covariance with age that may have acted upon the results of the other soil properties, and it seems to counteract on the compaction processes. The clay content was correlated with the age; although, the correlation was weakly negative, suggesting that the clay content was decreased with the increase of the aging of the raised-bed. This may be true, if the losses of clay content greater than the additions derived from the soil formation processes. However, the results of soil texture indicated a high variability within sites and relatively low between sites for all the master soil horizons in the soil profile, suggesting that there could be a high degree of uncertainty and the errors could be raised from data collection. On the other hand, the soil texture is mainly inherited from the characteristics of parent materials; the clay content has not been expected to change with time. From that fact, the slight differences in soil texture of the raisedbeds could be seen as an inherent distribution, i.e., a common consequence has been derived from the soil formation processes of the MD. From another point of view, soil texture is a basic physical property including the components of soil particle distribution as clay, silt and sand. These primary particles are bound together into larger masses by the cementing agents that consist of microbial gums, iron oxides, and organic matter (known as soil structure/soil aggregates). Although management practices do not change the soil texture, they may modify the effects of texture on other properties. Pores between the particles and between aggregates are much more important than sizes of the particles themselves, because the total amount of pore spaces governs 13 Pham Van Quang TRITA LWR PhD Thesis 1073 water movement and availability for sustaining soil organisms and plants (Magdoff and Van Es, 2009). Therefore, the next discussion will be of more concern with the alteration of soil structure and aggregates under conditions of natural and management practices in terms of the particles’ rearrangement and their consequences. For the soil surface of raised-beds in the MD, it is easy to recognize that heavy traffic/equipment can be ignored; the soil is, therefore, mainly subjected to the dry and wet cycle as well as the handwork management practices. Due to the effect of construction, the soil in raised-beds was reorganized by the excavation processes, where the soil mass was randomly piled up from the original soil. These actions initiate the dominance of macro-pores in the soil. By this case, a phenomenon of rearranging the aggregates and soil particles has been occurred with time. The larger aggregates have been broken down into smaller ones and the dispersion of aggregates and soil particles under the impacts of internal and external forces. These processes may have drastically occurred in a few years after constructing. The soil evolution will be slowing down when the soil has relatively stabilized. The stability of raised-beds’ surface and reduction in soil bulk density may occur at the beginning period and be combined with the decomposition of the original root plants. Repeated cycles of drying and wetting play a major role in aggregation through shrinking and swelling, which leads to formation of aggregates in the raised-beds’ soil. Swelling leads to reorientation of particles; and shrinking leads to formation of cracks. The cracks on the raised-beds are normally formed during the dry season or during the drought period on the rainy season. These cracks not only significantly facilitates infiltration of storm-water into the soil, but also speed up the progress of dispersive processes of the soil; therefore, the soil particles may be detached from a soil mass and then carried off by flowing water. It is evident that the soil in the raised-beds has been subject to overtopping and internal erosion processes. Of which, internal erosion occurs when water flows through the cavities, cracks, and/or other continuous void within the embankment (Fell et al., 2003; Jantzer, 2009); these openings may be a result of soil block arrangement during construction, differential settlement, desiccation, and/or decay of woody vegetation roots. According to Packer et al. (1992), the failure of aggregates and the elimination of smaller particles or entire layers of soil or organic matter can weaken the structure and even change the texture. Due to the undergoing complex processes of the nature and management practices, the continuous rearrangement of soil particles/aggregates leads to changes of soil structure year to year. Aggregation derives from the rearrangement of dispersive aggregates/particles, flocculation and cementation (Duiker et al., 2003). Aggregation is mediated by soil organic carbon, biota, ionic bridging and clay. Since the more intensively soils are dried, as well as the more often they are wetted, the smaller the aggregate diameter then becomes. Smaller aggregates/particles can be lodged in between the larger aggregates/particles, clogging the pore spaces and increasing soil bulk density. Continuation of the processes indefinitely, without any biological activity, could also result in a structure of smaller and dense aggregates. Reduction of structure to smaller aggregates will cause the loss of the coarse pores that is important for soil drainage and aeration (Gardner et al., 1999). Consequently, the decline in soil structure arises, 14 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods which is increasingly seen as a form of soil degradation (Chan et al., 2003) and is often related to land use and soil/crop management practices. Soil structure influences soil water movement and retention, erosion, crusting, nutrient recycling, root penetration and plant yield. Soil tillage at inappropriate water moisture as well as the loss of organic matter due to oxidation may cause structural degradation; continued cultivation without organic additions can result in loss of microaggregation leaving a soil very vulnerable to compaction and erosion (Gardner et al., 1999). The evidence from the summary statistics for the observed raised-beds in the correlation analysis (Paper III) showed that soil structure gradually has declined with time. It was illustrated by the aging of raised-bed was significantly correlated with bulk density (positive), saturated hydraulic conductivity, wet range suctions (pF 0.4 to 3.0) and organic matter (Tables 9 and 10 in Paper III). It was also demonstrated through a decreased tendency with age of the fast and slow drainage pores (Figure 3 in Paper III), indicating a decreased-level of soil macroporosity; and the increasing in micro-pore proportion with age was identified by soil water retention curves (Table 6 and Figure 2 in Paper III). According to Assouline et al. (1998), an increased proportion of microporosity can be as an indicator of soil compaction. Next discussion accentuates in soil penetration resistance (soil strength) and its relation to soil moisture and water potential (pF) to understand how soil degradation will develop during cultivations in the raised-beds (Paper IV). These analyses clarify the results of physical properties discussed in previous section. The penetration resistance (PR) of soils is an important parameter that influences to nutrient uptake, water infiltration and redistribution, aeration, seedling emergence and root growth, resulting in decrease of plant yields, increased erosion and difficulty in soil cultivation (Bengough et al., 2011.; Taylor and Brar, 1991). The PR is attributed to forces of cohesion and adhesion and varies with soil moisture (Lal and Shukla, 2004). Since the plant root system is mostly growing in porous media, it must therefore overcome mechanical soil resistance. The PR has limited to effective rooting depth; if the soil status is too weak, anchor capacity of plant roots will not be adequate to withstand the forces of wind and water; on the other hand, if it is too strong, the plant roots will not have required strength to penetrate to the soil matrix. Plant roots will be dramatically affected if the soil strength exceeds the capacity of root penetrability (Jarmillo-C et al., 1992). As the results showed in Fig. 6 indicated that, the PR has reached to 2 MPa on over the top 30 cm depth for starting from 30-year-old raised-beds at the field capacity condition and PR is still able to be higher when the soil becomes drier. This value was higher than the value reported by Lutz et al. (1986) - the study on relationship between citrus root development and soil physical conditions, of which documented that 1.5 MPa is the maximum soil strength restricting root growth. Studies conducted by Kees (2005) and Raper et al. (2005) showed that roots of most plants are inhibited at PR of 1.5 MPa and roots of many plants stop to grow at PR of 2.5 MPa. A penetrometer measurement of 2 MPa generally concerned as sufficient to impede the growth and development of plants (Taylor and Gardner, 1963). At PR larger than 2.5 MPa, root elongation is significantly restricted (Whalley et al., 2007). However, some studies showed significantly higher PR values due to the influence of the soil moisture 15 Pham Van Quang TRITA LWR PhD Thesis 1073 content at the time of penetrometer readings with visually healthy plants (Smith et al., 1997; Sojka et al., 2001; Whalley et al., 2007). The relationship between the PR and soil moisture (and pF values as well) was shown through the regressive equation (1) and (2). The results demonstrated that the less change in PR associated with a change in ƨ (or pF value) when the soil of raised-beds has been more exposed to wet and dry cycle and cultivating since construction. This indicated that the soil in the young raised-beds has been more macropores than that in the old ones, and it has been easier to disturb. While the soil in the old ones are in a mode of more inert system with smaller sensitivity. In other words, the soil structure has become smaller and dense aggregates with time, resulting in higher PR values. It can see that both of predictors (ƨ and pF values) showed the same phenomena but in the different ways. Because the comparisons of PR, predicted by ƨ and pF values, were not significantly different, so the pF value and either ƨ can be used to predict the PR. However, it will be easier to obtain the ƨ than pF values. In addition, according to the slope coefficients plotted against age of the raised-beds on the different soil layers, drawn from regression equations (1) and (2); the results showed that the explanations based on ƨ were better than pF values (Fig. 7). This suggested that the equation (1) could predict the PR more credible than using (2). In summary, based on above discussions, the soil in the observed raisedbeds has been exhibited a tendency of degradation in term of soil structure decline. Management of soil physical conditions to improve the constraints for plant growth will not only conserve the soil functions for the future but also contribute to the minimization of soil degradation. Favourable soil structure and high aggregate stability are important role to enhancing porosity and resistance to erosion susceptibility, improving soil fertility, and hence increasing agronomical productivity. Soil structural and aggregate stability are affected by many interactional factors including the environment, soil management, plant influences and soil properties. The soil properties consist of such as mineral composition, texture, soil organic carbon (SOC) concentration, pedogenic processes, microbial activities, exchangeable ions, nutrient reserves, and moisture availability (Lal and Shukla, 2004). The rate and stability of aggregation generally increases with SOC, clay surface area and CEC. The loss of organic matter and consequently soil fertility is often caused by unsustainable cultivation practices e.g. unsuitably commercial fertilizer supply, working at an inappropriate soil moisture and/or continuous removal of vegetation without returning biomass residues into the soil. Soil amendments Essential Plant Nutrients - their functions, and role of fertilizers Plants require 16 essential chemical elements for normal functioning, growth and completion of their life cycle (Maheshwari, 2012; Roy, 2006). Out of these elements carbon, hydrogen, and oxygen, are usually not considered as nutrient elements because they are supplied by air and water, and the other 13 elements are primarily derived from the soil and are generally managed by the farmers. The thirteen classified as macronutrients and micronutrients based on their plant requirements including nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), sulphur (S), boron (B), chlorine (Cl), copper (Cu), iron (Fe), manganese (Mn), molybdenum (Mo) and zinc (Zn). Plants obtain nutrient elements through root uptake from the soil solution; nutrient 16 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods uptake depends on nutrient absorbability of the plant, its growth stage and the nutrient level at the root zone (Maheshwari, 2012; Roy, 2006). The sources of these soluble nutrients in a soil can be natural, synthetic or recycled wastes. Although most soils can physically sustain more nutrients than a plant needs in a growing season, yet little of these nutrients are available in the soil solution. Moreover, plants remove a large amount of nutrients from the soil during the growing season (especially N, P, K), leading to deficiencies of one or more essential nutrients; therefore, application of fertilizers is necessary to compensate. Yet, an integrated plant nutrient management needs to be carefully considered to optimize the condition of the soil with regard to its physical, chemical, biological and hydrological properties, for enhancing crop productivity, while minimizing soil degradation. Balanced application of appropriate fertilizers is a major component of integrated nutrient management (Maheshwari, 2012). Fertilizers need to be applied at the level required for optimal plant growth based on plant requirements and agro climatic considerations (Maheshwari, 2012). According to Roy (2006), an optimal nutrient supply requires: (1) sufficient available nutrients in the root zone of the soil; (2) rapid transport of nutrients in the soil solution towards the root surface; (3) satisfactory root growth to access available nutrients; (4) unimpeded nutrient uptake, especially with sufficient oxygen present; (5) satisfactory mobility and activity of nutrients within the plant. While deficiency of any essential nutrient will become create a limiting factor for plant production, and could have also affected access of other elements, conversely too much of any nutrient could be toxic to plants and reduce the disease resistance of the crop. General soil amendments to raised-bed orchards in the Mekong delta Soils in the MD mostly contain kaolinite, illite and montmorillonite in the clay fraction which have been inherited from parent materials (Le Van Khoa, 2002; Nguyen Huu Chiem, 1993). Growers often use a single rather than compound fertilizers, which stresses the use of nitrogen over phosphorus, potassium, lime and micronutrients which are less appropriately considered (Siem, 1997). As a result the soils become acidic, their fertility is lowered, and their phosphorous fixation is high. The reasons mentioned above could partly explain the nutrient imbalance as described in Paper II. Therefore, it is necessary that soil acidity be corrected before fertilizers are applied because without neutralizing excess acidity, balanced nutrient application could not bring into play effectively (Maheshwari, 2012; Roy, 2006). Target pH and Critical pH Target pH is defined as the soil pH range at which plant nutrients are optimally available for plant uptake and growth. Critical pH refers to the maximum pH value at which liming increases plant yield (Adams, 1984). Because the characteristics of growth vary with plant type, target pH also varies with the type of plant to be grown. Critical pH is dependent on plant type and reflects the management practices as well as an economic consideration. The first step in soil pH management is to identify the suitable target pH. For citrus trees, the best range is between 5.5 and 6.5 (Calabrese, 2002). Liming practices are then used to ensure that soil pH maintains close to the target pH and does not fall above or below the critical pH values. For this study, critical pH values are about pH 5.5 - 6.5. Hence, lime should be applied whenever the soil pH approaches 6.5 because lower pH values will adversely affect plants. 17 Pham Van Quang TRITA LWR PhD Thesis 1073 Lime Requirement A lime recommendation is based on the suitable target pH, the exchangeable acidity level in the soil, and the efficiency of the liming reaction. The lime requirement of a soil is the amount of calcium carbonate (in tonnes) calculated to raise the pH of a hectare of soil 20 cm deep, under field conditions, to, and maintain at, 6.5 (Faithfull, 2002). The lime requirement cannot be calculated directly from the pH value because of the need to also neutralize reserve acidity, which is not reflected in the pH value. However, pH and soil texture can be used to estimate the amount of lime approximately. There are several methods for determining the lime requirement, including Adams-Evans buffer (Adams and Evans, 1962), Mehlich buffer (Mehlich, 1976), SMS buffer (Sims, 1996), and Lime Buffer Capacity (Kissell and Sonon, 2008). All these methods for estimating lime requirement need to be based on the soil samples being representative of the area sampled. Fertilizer Recommendations Unfortunately, there is not much specialised literature that would offer detailed approaches on rates of application of fertilizer for citrus trees in the MD. One of such was written by Phong et al. (1996), the fertilizer recommendations are presented in Table 4 for citrus plantations. This promotion was mainly based on the experiences of farmers in the MD and reference materials related to the recommended fertilizer for citrus trees in the world. In fact, soil fertility fluctuates throughout the growing season each year because of fertilizer addition, plant growth and development, plant harvest, and nutrient losses. Therefore, regular soil testing and leaf analysis are crucially necessary to assess the current status of nutrients for both soils and plants. These tests provide the necessary information needed to maintain suitable fertility year after year, and help to adjust and make appropriate fertilizer program decision. In addition to yield response functions, fertilizer recommendations should be considered in relation to sustainability, thus, nutrient management should be based on the Fertilizer Best Management Practices (FBMPs), which address on the right source/product, right rate, right time, and right place (4Rs). More detailed discussions on the 4Rs are available in Roberts (2007), Force (2009), and Mikkelsen (2011). Fertilizer recommendation is a component within the FBMPs because understanding the details of fertilizer recommendation philosophy may contribute to sustainable nutrient and soil management and hence toward sustainability for agriculture. In general, there are some common methods used to make fertilizer recommendations. These methods consist of the following (1) sufficient level of available nutrients, (2) build and maintenance, and (3) base cation saturation ratios. All are based on either the plant or the soil. Table 4. Fertilizer recommendation for citrus trees (adapted from Le Thanh Phong et al., 1996) Age of tree 1-3 4-6 7-9 > 10 N P2O5 (g/tree) K2O 50-150 200-250 300-400 400- 800 50-100 150-200 250-300 350-400 60 120 180 240 18 Soil Degradatio on of Raised-b beds on Orchaards in the Mekkong Delta - Field F and Labo oratory Methodds Figuree 9. Soil test interpretatio ion categoriees redrawn from f Havlin n et al. (19999) 1. Sufficciency level of avvailable nutriennts (SLAN): the t focus of this t approach h is fertilizin ng the plantt. To providde the best response, r thiis provides the t greatestt economic benefits to the plant producer. p T The amount of fertilizeer recommen nded dependss on the soill test level; fertilizer f is on nly applied when the soil s test leveel drops belo ow some criitical ranges to achievee optimum reesponse of th he plants, as shown s in Figg. 9. The SLA AN methodd requires reegular and accurate a soill testing to determine the t nutrient requiremen nt for the cuurrent status of the plan nts, and preccise knowledge of optim mum application rates for particular p plants. 2. Buildd and maintenaance fertility: Fiigure 10 reprresents a moddel for fertilizzer recomm mendation suuggested by Ohio O State University. U In n this approach, build-up p range is co onsidered as an indication n of nutrientt deficiency for f plant growth. g Ferrtilizer additiion provides for increasing availab ble nutrients to the criitical test levvel. Plant ressponse to ferrtilizer additiion graduallly decreasess as soil test t level reaches r criticcal level. For F mainten nance range, nutrients aree added based d on the estim mation of plaant removaal or losses for f maintainin ng the soil nutrient n levell. In this ran nge, plant yield y does not n respond to nutrientt application n. Soils in the t mainten nance range are usually not n expected to improve yield y but in the t purposee of maintain ning soil test levels over time. t In draw wdown rangee is at the soil s test levells above the maintenancee limit. Fertillizer addition n is made to o slow the drraw of nutrieent levels dow wn and quickkly become 0 as soil tesst levels incrrease. This method m is on nly suitable for f less mob bile nutrients such as P and a K. 3. Base cation saturatio ion ratio (BCSR R): fertilizer recommenda r ations are bassed on the concept that maximum plant responsee is only attaiined by creatiing the ideaal ratios of Ca, C Mg and K. K If the ratio o is out of baalance, then the t applicattion of fertiliizer is recom mmended. Thee ideal ratios of Ca, Mg and a K weree proposed by b Bear et al. a (1945), Bear B and Totth (1948). T This approacch often reesults in thee greatest amount a of fertilizer beiing recomm mended. These three t method ds may apply as general guuidelines for better b decisio onmakingg in the application of fertilizer f undder condition ns of soils aand farmingg system in the MD. To T bring thiss about, it is i necessary to calibratte soil tests to o adapt to thee specific loccal conditionss of the MD. In addition n, different methods m are based on th heir own assuumptions abo out what different d plan nts need, andd hence diffeerence of ferrtilizer quanttity recomm mended. Thee choice of an a appropriatte method selection shouuld also con nsider econom mic, social an nd environmeental targets. 19 Pham Van Quang TRITA LWR PhD Thesis 1073 Figure 10. Fertilizer recommendation scheme published in Vitosh et al. (1995). Table 5. Different methods of irrigation scheduling Method Soil water managements - Observe and feel - Soil moisture sample - Neutron probes - Time Domain Reflectrometry (TDR) - Tensiometers - Electrical resistance blocks Soil water balance - Water budget approach - Atmometer Measured parameter Equipment needed Soil moisture content by feeling Soil moisture content by taking samples Soil moisture content Soil moisture content Hand probe Soil moisture content Auger, caps, oven Soil moisture content Neutron moisture meter TDR meter Soil moisture content Soil moisture content Tensiometers including vacuum gauge Electric resistance of soil Resistance blocks AC moisture bridge (meter) Soil moisture tension Soil moisture tension Climatic parameters: temperature, radiation, wind, humidity and expected rainfall, depending on model used to predict ET Reference ET Irrigation criterion Soil moisture tension Weather station or available weather information Estimation of moisture content Atmometer gauge Estimate of moisture content Pepista system Estimate of moisture content Estimate of moisture content Estimate of moisture content crop water stress index Use of plant water stress criteria - Trunk or branch diameter Measuring of stem, change branch or fruit diameter - Leaf water potential Leaf cell water potential Pressure chambers - Sap Flow Reference ET Sap flow sensors - Canopy measurements Surface temperature Infrared radiometers Soil moisture content Software Soil moisture content Growth and yield Software Water status of the plants at different stages Use of models - Models based on soil water balance - Mechanistic models Source: ICID/FAO (1996) and FAO-56 (Allen et al., 1998). 20 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods Soil organic matter management Although soil organic matter (SOM) constitutes only a small fraction of the total matter of most soils, yet the dynamic SOM has a dominant influence on many soil physical, chemical, and biological properties (Bot and Benites, 2005; Brady and Weil, 2002). In the current status of land use in the MD, agricultural practices and cropping patterns have changed rapidly since the economic reforms in the 1980s (Vo-Tong Xuan and Matsui, 1998). The cultivation area has increased thanks to man-made constructions, such as dams, dykes, canal systems, soil rotation systems, agro-chemicals and the reclamation of so-called ‘problem soils’. These practices have led to soil reclamation and irrigation activities converting forest, bare and uncultivated land into agriculture land. Changes in agriculture are also a big threat to soil fertility and increase the speed of soil degradation. During the 1980s, intensification of cropping patterns was introduced to the MD in an attempt to increase food security. Nowadays, most farmers use modern fertilizers, as an alternative to using animal manures or a combination of inorganic fertilizers and animal manures as before, though farmers mostly realise that there will be a problem with soil fertility, if SOM is completely exhausted. Because of this, the intensive cropping has tended to reduce the organic matter content of the soil. In addition, climate of the MD is characterized by high temperature, humid, and high rainfall, therefore, which accelerates decomposition rates and a quick release of nutrients into the soil. Maintaining SOM content requires a balance between inputs and decomposition rates (Bot and Benites, 2005). The maintenance of SOM levels and the optimization of nutrient cycling are essential to the sustained productivity of agricultural systems (Bot and Benites, 2005). There are several ways to add organic materials to the soil such as mulches, composts or covering by crop patterns. Especially, Biochar can be considered as another soil conditioner for improving SOM. Many studies have shown that biochar can improve soil fertility and increase crop production. For a deeper discussion on biochar is available in Lehmann and Rondon (2006), also Shackley et al. (2012), and Yamato et al. (2006). A recent study conducted by Southavong and Preston T R (2011) on growth of rice in acid soils amended with biochar, showed that biochar increased the biomass growth of rice and water holding capacity, raised soil pH from 4.5 to 5.13 and 5.40. Water management Characterised by two distinct seasons, farmers in the MD often irrigate their plant orchards during the dry season, except during some periods of drought in the rainy season. The source of their water supply mainly comes from channels that are linked to the river system. The drains are used to regulate water level in the cannels. When the soil becomes dry or plant leaves seem to suffer the symptoms of wilting (usually identified by feeling the leaf), it is the time to irrigate the plants. Water quality depends on the water characteristics of the rivers’; but the highest tide is usually considered as the best one. The method has been commonly applied for irrigating the citrus orchards is a manually operated irrigation pump. The pumping system is put on a boat and is moved along the adjacent cannels to spray water over the top of the plant canopy, because this is the most convenient and easy way in situ. This research found the quantity of water is often not uniform on all the raised-beds, even on the same one. This type of irrigation is more or less similar to a heavy rain and it may result in easily forming surface runoffs, erosion and soil crust, if the soil surface lacks a litter or vegetation cover. Also excessive water 21 Pham Van Quang TRITA LWR PhD Thesis 1073 applications may reduce yield and quality, increase waste of water, increase the risk of nutrient leaching and lead to pollution of ground water, all of which are harmful effects on the environment. In brief, the growers in the region are mostly relying on the use of intuition or subjective irrigation scheduling methods. This method is based on instinct, knowledge, and experience gained over many years of farming. However, this subjective technique is not accurate and heightens the chances of soil erosion. It is highly recommended that a scientific irrigation schedule should be developed and implemented. Improved irrigation water management will lead to water saving which can reduce irrigation costs, increase plant yields and farmers’ incomes. Understanding soil moisture dynamic and plant response is of great importance from an economic and an environmental perspective. As a component of best management practices, the overall goal of irrigation water is usually not only to maximise net profit over the long term, but also to meet sustainable goals of the environment, economy and society (Lincoln Environmental, 1997). The farmers have therefore to adopt the new technical and scientific approaches of the appropriate irrigation management practices. Application of irrigation water needs to be met the aim of high yields and high water use efficiency (WUE). It also aims at avoiding environmental hazards. Irrigation scheduling is an extremely important tool in developing a sustainable plant management strategy. The core of irrigation water requirements mainly depend on plants, climate, and soils. A good irrigation schedule must accurately indicate when to irrigate and how much water to apply. In fact, there are many irrigation scheduling methods and models available to help the farmers with decisions in relation to when the plants require water and how much water needs to be applied. A large number of techniques and methodologies are introduced in ICID/FAO (1996) and FAO-56 (Allen et al., 1998). These are shown in Table 5 which can range from very simple (observing, felling, soil sampling) to intermediate and high technical methods requiring the participation of multi-lateral partners such as irrigation engineers, scientist and water resources engineers, consultants and farmers. High technology equipment, such as computers and microchips has created devices for monitoring and recording that can be used to make real-time irrigation scheduling. This involves monitoring of soil moisture content, plant water status or ET that describes the actual conditions of the plants currently growing. Realtime monitoring systems are also adaptable to full automation, and capable of interaction with computer systems as well as the use of remote access through telecommunication systems (Phene et al., 1990). Although these high technological methods can bring many benefits, the appropriate monitoring devices are also needed. These devices are not commonly available commercially in Vietnam, and so far are only being used for scientific experiments. Due to the benefits to be gained from irrigation scheduling, it is recommended that promoting the use of automatic irrigation systems in the MD is necessary now, especially in orchards and upland cropping areas. This action has the potential to contribute to sustainable agriculture development in the MD. Nevertheless, implementing this is also a challenge for the following reasons: • The area cultivated per household is often small; • The level of farmers’ knowledge and skills is low and needs to be improved; 22 Soil Degradation of Raised-beds on Orchards in the Mekong Delta - Field and Laboratory Methods • Equipment for monitoring is expensive because at present it is imported from other countries and not yet manufactured in Vietnam. C ONCLUSIONS AND RECOMMENDATIONS Orchards on the raised-bed system in the Mekong delta (MD) have considerably been affected by the tendency of soil deterioration processes. In the present study, it represented that the soils have been deteriorated on both chemical and physical properties with the aging of raised-beds. This research showed that raised-beds for growing citrus fruit trees in the Mekong Delta show clear symptoms of soil deterioration and it established a relationship between the aging of the raised-beds and a decline in their physical and chemical characteristics. These declines were indicated through low pH soil, nutrient deficiencies and/or imbalances, increase in dry bulk density and decrease in hydraulic conductivity, decline in organic matter, and increase in soil penetration resistance. However, the dynamic studies need to be followed by the ageing processes of the raised-beds to find further explanations of the impact on the clay content. As indicated, by using a portable electronic penetrometer (or penetrologger) combined with registration of soil water content, measurements can be easily and speedily possible to assess the soil quality in terms of the constraints for root growth. This is one of the commonly used non-destructive methods. The penetrologger is able to store and process a great amount of data and the procedure can be repeated at many positions within a short period of time. This research also raises some concerns regarding the poor fertilizer and irrigation management practices of farmers. Because soil is a nonrenewable resource over the long term scales and is dynamic and prone to rapid degradation due to land misuse or poor management practices, appropriate approaches are needed to help farmers develop better management practices. Good management practices must be based on plant, soil and water conservation techniques as well as the imitation of the natural environment. In this way, one may prevent the many symptoms of soil and plant degradation developing instead of needed to react to them after they develop. On the basis of the findings from this study, the following recommendations can be made: • Fertilizer application needs to be based on the plant requirements and the actual nutrient availability of the soil, provided that the soil pH is within a proper range, i.e. the soil fertility status is managed to maintain optimal pH levels which make available sufficient nutrients for plant growth but without excess, which may lead to water pollution. No more fertilizer and nutrients should be applied than the plant can use and the soil can store. • Nitrogen and phosphorus need to be monitored because both can result in environmental damage when soils are too rich with respect to these nutrients. • Soil organic matter (SOM) must be maintained at suitable level (3.4% SOM - threshold value) through appropriate practices. • Comprehensive soil and plant tests need to be performed regularly to identify possible nutrient deficiencies (at least every two years). • Observing and recording the variability in plant yield and soil tests for each field should take place regularly in order to follow soil health changes and take corrective actions. 23 Pham Van Quang TRITA LWR PhD Thesis 1073 • Develop and promote irrigation management that are founded on the technical and scientific approaches such as monitoring of soil moisture content, plant water status and evapotranspiration. • Continue to improve our understanding of soil fertility and its associated problems in order to develop better and more suitable management techniques. To achieve sustainable soil management targets, it is essential that several different entities cooperate, particularly farmers, scientists, and extension personnel. Agricultural researchers play pivotal roles in developing agricultural technologies and management practices. Extension personnel can be regarded as a bridge for researchers and farmers to make sure that the desired technologies and management practices smoothly transfer to the farmers. Eventually, farmers directly work on the land and implement and adapt new technologies and practices. Farmers have some knowledge and skills of technologies and practices but not enough. For example, farmers may know more about what happens above ground than about interactions and processes below ground. A good education, information and skills training program can improve knowledge and management abilities of farmers, and they can adapt to current and new technologies and techniques. Moreover, knowledge gap between scientists and farmers also need to be identified to promote a better communication among the researchers, extension workers, and farmers. This is an essential factor for improving transferability of knowledge, management skills, and technology. F UTURE WORK Agricultural management is a term which refers to many activities closely related to the farming management, in which, using optimal nutrient and water management practices are required in order to grow healthy plants, improve and retain soil productivity. Enhancing soil organic matter, avoiding excessive tillage, managing pests and nutrients efficiently, keeping the surface of the ground covered, preventing soil compaction and erosion, and diversifying cropping pattern systems are good procedures to maintain soil and plant conservation. Soil nutrients and water management practices in the MD are still restricted and more appropriate practices need to be developed. 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