Soil Quality Index in the Upstream of Bengawan Solo River Basin According to the Soil Function in Nutrient Cycling Based on Soybean Production in Agroforestry

Supriyadi, Supriyadi; Hartati, Sri; Machfiroh, Nur

doi:10.17503/agrivita.v38i1.496

Cited by 6 publications

(8 citation statements)

References 10 publications

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“…PCA is a statistical method used by different researchers to estimate SQI [5,13,14,27,28,44]. The PCA is a common tool to extract information and reduce data to choose the most important indicator in a minimum data set (MDS) [11,27].…”

Section: Statistical Factor Analysis (Principal Component Analysis) Sqimentioning

confidence: 99%

“…To obtain weight value (Wi) for each PC, the certain percentage variation of PC is divided by the total percentage variation explained by all the PCs selected for MDS with eigenvalue >1. Then, SQI was estimated from Equation 6 [13]: (6) …where Wi = is the PCA weighting factor, Si = is the indicator score for each variable I, and n is the number of variables in the MDS. Table 3.…”

Section: Statistical Factor Analysis (Principal Component Analysis) Sqimentioning

confidence: 99%

“…The SQI is the widest decision-making device used to study agricultural sustainability, soil resource management and socioeconomic viability [11]. Simple additive SQI is easy to apply, after standardization of soil indicators to values between 0 and 1 depending on threshold level, which makes better characterization of soil quality [12][13][14]. While statistical-based model principal component analysis (PCA) initially acts on selecting a minimum data set (MDS) and giving a score for each indicator merged into the index [5,15].…”

Section: Introductionmentioning

confidence: 99%

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Soil Quality Index Models for Assessing Walnut Orchards in Northern Erbil Province, Iraq

Maulood¹,

Darwesh²

2020

Pol. J. Environ. Stud.

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Improving soil quality, sustaining high crop yields and conservation environment are the main goals behind soil quality assessment. Soil quality indexes (SQI) serve as efficient decision tools for agriculture managers, scientists and policy makers to choose appropriate management practices for sustaining land and yield quality. The aim of this study was to evaluate soil quality by using three common SQI models: additive, weighted and principal component analysis (PCA). Seventy-two soil samples were collected during two years (2016 and 2017) from three walnut orchards in Erbil Province, Iraq. SQI values varied from low (<0.5) soil type in location 2 (Malakan village), low (0.35) to moderate (0.72) in location 3 (Choman District) and from low (0.32) to high (0.83) soil type in location 1 (Shaqlawa District). According to weighted SQI, the highest main contribution percentage root growth capacity (RGC) 35% and the lowest contribution percentage storage water capacity (SWC) 3% were estimated in the Malakan location. Results indicate that the PCA-SQI model is more convenient for selected soil indicators to minimum data set (MDS) than additive and weighted SQI for evaluating soil quality.

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Section: Statistical Factor Analysis (Principal Component Analysis) Sqimentioning

confidence: 99%

Section: Statistical Factor Analysis (Principal Component Analysis) Sqimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Soil Quality Index Models for Assessing Walnut Orchards in Northern Erbil Province, Iraq

Maulood¹,

Darwesh²

2020

Pol. J. Environ. Stud.

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“…In addition to provide food for livestock, traditional medicines and source of material genetic diversity, the understorey species also play an important role in annual nutrient cycling. Understorey species also can supply organic material and create the appropriate conditions for soil microbes (Supriyadi, Hartati, Machfiroh, & Ustiatik, 2016). The litters returned to the soil contain high nutrients.…”

Section: Understorey Plant Speciesmentioning

confidence: 99%

“…The homegarden in the Javanese community has the function as a source of high nutrient foods (protein, vitamins and minerals), medicinal plants, herbs, firewood, forage crops and also timber (Kumar & Nair, 2004). So, farmer can take multiple benefits from agroforestry (Supriyadi, Hartati, Machfiroh, & Ustiatik, 2016). Classifications of agroforestry based on vegetation components, functions, levels of management input and environmental conditions and ecological suitability (Atangana, Khasa, Chang, & Degrande, 2014), agroforestry is classified into complex and simple agroforestry (Nair, 1993).…”

Section: Introductionmentioning

confidence: 99%

Dominant Understorey Plants Producing Herbal Medicine Materials on Homegarden Agroforestry System in Menoreh Hills, Kulon Progo District

Widyastuti

Hadi²,

Wahyuono

2018

Agrivita.J.Agr.Sci

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Priority products in homegarden agroforestry systems are still dominated by wood. Understorey is an important component of the homegarden community, but not a priority in its management because there is not much information about its benefits. Undestorey has several benefits such as food sources, food crops and medicinal materials. Research aimed to know the diversities of understorey species, the dominant of understorey species and the content of compounds in dominant understorey in the homegarden agroforestry system in Menoreh hill, Kulon Progo District. The study sites were categorized into 3 zones based on elevation, i.e. zone 1 (< 300 m above sea level (asl)), zone 2 (301-600 m asl) and zone 3 (> 600 m asl). This research method used inventory and identification of understorey species, and identification the content of dominant understorey compound by TLC method. The results showed that there were 41 species of understorey, the dominant species in zones 1, 2 and 3 were Curcuma mangga Val. Zone 3 produced the highest diversity. Based on the similarity index, there was a difference between the homegarden groups in zones 1, 2 and 3. Phenols and terpenoids were identified as in C. mangga.

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Modeling and digital mapping of soil quality indicators in different land uses (a case study: Ravansar-Sanjabi Plain, Kermanshah)

Parvizi,

Fatehi

2024

Environ Monit Assess

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Soil Quality Index in the Upstream of Bengawan Solo River Basin According to the Soil Function in Nutrient Cycling Based on Soybean Production in Agroforestry

Cited by 6 publications

References 10 publications

Soil Quality Index Models for Assessing Walnut Orchards in Northern Erbil Province, Iraq

Soil Quality Index Models for Assessing Walnut Orchards in Northern Erbil Province, Iraq

Dominant Understorey Plants Producing Herbal Medicine Materials on Homegarden Agroforestry System in Menoreh Hills, Kulon Progo District

Modeling and digital mapping of soil quality indicators in different land uses (a case study: Ravansar-Sanjabi Plain, Kermanshah)

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