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FERTILITY MAPPING, PROFILING AND DATABASE BUILDING OF CORN CLUSTERS IN CAGAYAN, NUEVA VIZCAYA AND QUIRINO 1 Generoso M. Oli, Felipe S. Aguinaldo, Vernon C. Dabalos, Angelita B. Calubaquib, RamonP. Divina,Ma. Editha B. Guillermo, Eva V. Eslava, Jennelyn R. Binarao, Alejandria S. Dabalos,Isagani S.Cabalsi, Eddie T. Rodriguez, Joaquin M. Banzali, Jr, Eleazar A.Castillo,Joey A. Calucag and Antonio B. Riazonda 2 ABSTRACT The study aims to assess the fertility status of ten (10) corn cluster areas in the six (6) municipalities of Cagayan, two (2) in Nueva Vizcaya and two in (2) Quirino . Readily available fertilizer recommendation to individual corn farmers within the cluster was obtained, which serve as guide in fertilizer application. GIS software was used to develop thematic recommendation maps of Nitrogen (N), Phosphorous (P), Potassium (K) and soil pH for each cluster. Interpolation, geo-processing and other spatial analysis were used in obtaining individual farmer’s reference table for specific fertilizer application rate. Developed maps and set of standard rate range for fertilizer application and soil pH, shows that Nitrogen (N) requirement for the whole cluster area of Villaverde, Quezon and Aglipay is at maximum rate (120 kg/ha), while majority (70-90%) of the areas of Lallo, Lasam, Pamplona, Penablanca, Tuguegarao City, Sta Teresita and Maddela are also requiring maximum rate of application. Phosphorous (P) requirement for these clusters are well distributed from minimum (20kg/ha) to maximum (60kg/ha) rate of application , with 40-50% of the areas in Sta Teresita, Villaverde, Quezon, Maddela and 30-60% in Lallo, Lasam, Penablanca, and Aglipay respectively. Lasam and Maddela are sufficient in Potassium (K), thus requiring minimum application at 30kg/ha. pH maps showed that majority of the areas of Pamplona, Sta Teresita, Aglipay and Maddela clusters range from strongly to extremely acidic thus requires application of lime. Soil acidity for other clusters are tolerable (neutral to moderately acidic) except for small portions where pH are under the range of strongly to extremely acidic. The application of Geographic Information System (GIS) in determining the proper fertilizer requirements of the soil is a potential alternative strategy to address the issue of appropriate application of inorganic fertilizer to corn in view of soil laboratory facilities insufficiency and high cost of chemicals for soil analysis. Keywords: Corn, Fertility Mapping, Database Soil supplies the essential nutrient needed by the crop. It has to be assessed to determine its sufficiency or deficiency. Application of major or minor elements needed could address soil deficiency. Inorganic fertilizer is one of the major inputs to crop production. The grade and amount has to be properly applied to attain the potential yield of the crop. Analysis of the soil has to be done prior to the application of fertilizer to the crop. However, farmers seldom have their soil analyzed for proper fertilizer recommendation. Tendency for this is either short or excess application of the crops’ requirement. The end result is low production or excess expense in the production cost. The insufficiency of soil laboratory facilities within the region and cost of chemicals needed in the analysis are some constraints in 1 3rd Place, Best Paper-Research Category, 21st CVARRD RSRDEH Symposium 2 Researchers, Department of Agriculture – Cagayan Valley Integrated Agricultural Research Center (DA-CVIARC), Ilagan Experiment Station, Ilagan, Isabela 32
addressing individual clients’ requirement. The application of Geographic Information System (GIS) in determining the proper fertilizer requirements of the soil is an alternative strategy to address the problem. Hence, this project. Coverage OBJECTIVES 1. To assess the fertility status of the corn clusters in Region 02. 2. To develop thematic fertilizer recommendation maps of the corn clusters in Cagayan, Nueva Vizcaya and Quirino 3. To have a readily available fertilizer recommendation as a guide to individual corn farmers within the cluster. 4. To develop a database information on fertilizer status and farmers’ profile within the corn clusters. MATERIALS AND METHODS Corn cluster areas within the region will be covered by this activity. However, cluster areas of six Municipalities of Cagayan and two each of Quirino and Nueva Viscaya were given priority due to their large broad plain areas devoted for corn.Farmers’ profile were also gathered and encoded in the database for analysis Data Collection Coordination with the Local Government Units (LGUs) Coordination with the local government units was undertaken. Letter request addressed to the Municipal Mayors was routed out prior to orientation/ briefing of farmers to familiarize them of the activities to be undertaken. G.M. Oli, et.al Perimeter Delineation and Geo-referencing Perimeter boundary of the corn cluster areas were delineated using the Global Positioning System (GPS). Likewise, georeference were taken and recorded for some points within the perimeter as well as farmer’ farm locations as basis when this will be plotted in the base map. Soil Sample Collection Soil samples within the corn cluster areas were gathered following the recommended procedures. In this activity, approximately one sample for every 2.5 hectare were collected and submitted to the soil laboratory for analysis. Coordinates (x and y) of the sampling points were gathered using GPS. Encoding Results of soil laboratory analysis, farmers’ profile and geo-references were encoded in a data entry format developed using a Microsoft Access program. Processing /Interpretation of Data Data on fertilizer recommendations were processed using the functionalities of Microsoft Access and Excel programs. These were further processed using the Arcview 3.2 GIS software. Thematic maps such as fertilizer recommendation maps (Nitrogen, Phosphorus and Potassium), pH map were developed/ interpolated using the GIS software. Site specific fertilizer recommendations can be determined when the farm location map will be overlaid in the interpolated fertilizer maps developed. Likewise, specific pH of the farm can also be determined with the same procedure. Updating of Soil Fertility and Farmers’ Profile 33
Page 1 and 2: RESEARCH PAPERS Diversity Studies a
Page 3 and 4: C V A R R D RDE Journal RESEARCH AN
Page 5 and 6: DIVERSITY STUDIES AND UTILIZATION O
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Page 11 and 12: in Malabing Valley like rampant usa
Page 13 and 14: than uninoculated treated plants. S
Page 15 and 16: evident in the non inoculated plant
Page 17 and 18: A GEOGRAPHIC INFORMATION SYSTEMS-BA
Page 19 and 20: of solid waste generated and collec
Page 21 and 22: The volume of wastes generated was
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Page 25 and 26: Table 1. Summary of equations of th
Page 27 and 28: Figure 7. Comparison of the differe
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Page 39 and 40: Fertility Mapping Soil samples coll
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Page 43 and 44: in the predominant dialect in the s
Page 45 and 46: farmer-students were motivated to b
Page 47 and 48: RURAL ENTERPRISE DEVELOPMENT THROUG
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Page 51 and 52: 1 Table 1. List of some technologie
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