Determination of Minimum Data Set for Vegetable Fields under Biofertilizer-fortified Compost Farming in Southwestern Nigeria

O, Oke Kingsley; Olu, Oyewumi Samuel; P, Ojo Olubunmi

doi:10.3923/ijar.2020.48.54

Cited by 1 publication

(3 citation statements)

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“…The final appearance of sucrase, pH, WC, WHC, the NK ratio, TK, and AP in the final MDS obtained using PCA and Pearson's correlation is consistent with the works of Kingsley et al [43] and Rahmanipour et al [57]. All the indicators retained for the final MDS (sucrase, pH, WC, WHC, SOM, the NK ratio, TK, and AP) in the current study are uncorrelated and independent, except for SOM, which was retained to represent the soil nutrition regulation function; consequently, their appearance is considered significant.…”

Section: Discussionsupporting

confidence: 90%

“…These variables are employed not just to assess agricultural SH but also as markers of forest SH. In a recent study, Yu et al [54] used these characteristics to assess the SH of alkaline soils under various land uses, while Kingsley et al [43] used them to determine the MDS for vegetable fields. In the current study, there were variations in the total and available amounts of soil macronutrients.…”

Section: Discussionmentioning

confidence: 99%

“…Correlation analysis was employed to obtain the correlated and uncorrelated attributes. After the analysis, the highly weighted and uncorrelated factors (i.e., >0.60) from the correlation analysis and the attributes with the highest factor loading were retained for the final MDS [43]. In the dual index system, both the functional and nutritional indices were classified into sub-levels; therefore, at least one attribute from each sub-level was retained in the final MDS.…”

Section: Determination Of the Minimum Data Setmentioning

confidence: 99%

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Determination of Minimum Data Set for Soil Health Assessment of Farmlands under Wheat–Maize Crop System in Yanting County, Sichuan, China

Hussain,

Deng,

Wang

et al. 2024

Agriculture

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The assessment of soil health through a robust index system having a sufficient number of indicators is an important step toward sustainable crop production. The present study aimed at establishing a minimum data set (MDS) from soil functional and nutritional attributes using a dual index system to evaluate the soil health of farmlands under wheat (Triticum aestivum)–maize (Zea mays) crop rotation in Yanting County, Sichuan, China. Farms from 10 villages in the study area were selected, out of which three sites were considered healthy/ideal sites and used as a reference for the remaining seven targeted sites, and soil samples were collected at depth of 20 cm from these farms. The MDS indicators were selected by using principal component analysis (PCA) followed by Pearson’s correlation on 25 attributes. Based on significant values, eight attributes were retained in the final MDS, including the sucrase level, pH, wilting coefficient, water holding capacity, organic matter, NK ratio, total potassium, and available phosphorus. Based on the results, most of the farmland soils in Yanting County were in a healthy condition, accounting for 61.71% of the surveyed samples, followed by sub-healthy, degraded, and weak soils, accounting for 19.64%, 9.71%, and 8.93%, respectively. The values of most of the indicators at the targeted sites were significantly lower than those at ideal sites. Thus, specific steps should be taken by adding soil organic matter, combined with other fertilizers, to enhance the microbial biomass, enzymatic activities, and other biological activities in the soil.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Determination Of the Minimum Data Setmentioning

confidence: 99%

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