Claim Missing Document
Check
Articles

Found 2 Documents
Search

Soil and water conservation treatment have a significant effect on value of C factor and soil erosion.  Vegetatif conservation treatment aimed to reduce of both C factor and soil erosion of the cacao cropping system.  The decrease of both C factor and soil erosion were affected by density of crop canopy and plant rows in counter line, with organic matter addition from system mentioned above.  Experimental method with field study was applied in split plot design consisting three factors, namely ( Nurmi Hafid; Oteng Haridjaja; Sitanala Arsyad; Sudirman Yahya
Forum Pasca Sarjana Vol. 31 No. 4 (2008): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Soil and water conservation treatment have a significant effect on value of C factor and soil erosion.  Vegetatif conservation treatment aimed to reduce of both C factor and soil erosion of the cacao cropping system.  The decrease of both C factor and soil erosion were affected by density of crop canopy and plant rows in counter line, with organic matter addition from system mentioned above.  Experimental method with field study was applied in split plot design consisting three factors, namely (i) slope consisting two levels (10-15% and 40-45%) and (ii) age of the cacao plant consisting two levels (5 to 7 month and 25 to 27 month) were used as main plots (P1 = 5 to 7 month and 10-15%; P2 = 25 to 27 month and 10-15%; P3 = 5 to 7 month and 40-45%;  and P4 = 25 to 27 month and 40-45%), while (iii) vegetatif conservation treatment was used as sub plots consisting three levels, i.e T1 = cacao with disc clearing, T2 = dry field rice and soybean rotation within cacao plants, T3 = T2 + Arachis pintoi as strip plant.  There was not interaction between both cacao plant and slope treatment  with vegetatif conservation treatment to value of C factor and soil erosion.  The value of  C factor in cacao plant and slope treatment P3 (0,43) was significantly different with P4 (0,37). The value of C factor in the vegetatif conservation treatment T1 (0,25) was significantly lower (P < 0,05) than T2 (0,55) and T3 (0,39).  Soil erosion in cacao plant and slope treatment P2 (15,99 ton.ha-1.year-1) was significantly lower than P1, P3, and P4.  Furthermore, soil erosion in the vegetatif conservation treatment T1 (12,95 ton ha-1 year-1) was significantly lower than T2 and T3.  Data analysis with ANOVA (analysis of variance) and Duncan Multiple Range Test (P < 0,05) were done by using SAS program.   Key words: cacao, erosion, the value of C factor
Ecological Spatial Model of Maize (Zea Mays L.) In Wanggarasi Sub-District, Pohuwato Regency – Gorontalo Province, Indonesia Fitria S. Bagu; Zulzain Ilahude; Nurmi Hafid; Wawan Pembengo
International Journal of Technology and Education Research Vol. 3 No. 02 (2025): April - June, International Journal of Technology and Education Research (IJET
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i02.2002

Abstract

This research was conducted in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province, specifically in Bohusami Village and Bukit Harapan Village. The objectives of this study were (1). To analyze the biophysical land conditions (land capability, land suitability, land carrying capacity, production), as well as the social conditions of the community, particularly population pressure, which can support a sustainable maize land-use system. (2). To develop an appropriate model for optimizing sustainable maize cultivation in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province. The method used was land evaluation with a land unit approach. Sampling locations were determined using stratified random sampling, considering land units at the study sites—namely, slope, landform, and land use. The preparation of land capability maps, land suitability maps, and land optimization maps was carried out through interpretation of RBI maps, administrative maps, land unit maps, and LCLP analysis results. Meanwhile, maps of land carrying capacity, population pressure, and production were developed based on RBI maps, administrative maps, and secondary data. Data analysis was conducted using ecological spatial analysis with Geographic Information System (GIS) and supporting socio-economic data were analyzed descriptively. The research results showed that the study area is dominated by land with low optimization categories (R), expressed through the functional formula: OPT (R) = f (KL (III, IV) + KS (S3, N1) + DDL(R) + P(R) + TP(R)). The models and strategies for optimizing land in the low category (R) can be implemented through: (1) Identifying land units combining dry fields and rainfed areas that ensure the availability of land with high (T) or moderate (S) optimization categories, with a minimum area approximately equal to that of land units categorized as moderate or low in the sub-district. (2) Identifying land-use combinations that can yield production categorized as high (T) or moderate (S) land optimization by converting part of the coconut plantation area—particularly those needing replanting—into dryland maize cultivation. Additionally, seeking land-use combinations that ensure the availability of land areas with moderate optimization category (S), such as mixed gardens and dry fields.