Influence of cultivar and fertilization treatment on the yield and leaf nutrients content of apple (Malus domestica Borkh.)

Ljavić, Dževad; Radović, Mirjana; Kulina, Mirko; Zejak, Dejan; Spalević, Velibor; Kader, Shuraik; Dudic, Branislav; Michael, Ruby N.; Campbell, Jennifer; Jaufer, Lizny; Glišić, Ivana; Glišić, Ivan

doi:10.1016/j.heliyon.2023.e16321

Cited by 10 publications

(1 citation statement)

References 33 publications

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“…Ashenafi (2008) also reported negative impacts of P. juliflora on crop production through competition of agricultural land, wastage of time for clearing land, and increment of labor cost. However, other studies have linked increased crop yields in farms with P. juliflora because of its ability to fix nitrogen, desalinize soil, and mulch the soils with its leaves Ljavić et al, 2023;Youssef et al, 2023). Just like in Ethiopia, communities in Kenya living in P. juliflora infested areas reported that these invasive plants have caused a reduction of pasture for livestock; it has also reduced farmlands and associated opportunities for cultivation.…”

Section: Charcoal and Electricity Productionmentioning

confidence: 99%

The negative and positive impacts of Prosopis juliflora on the Kenyan and Ethiopian ecosystems: A review study

KISHOIN,

TUMWESIGYE,

TURYASINGURA

et al. 2024

Not Sci Biol

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Invasive alien species pose a serious threat to the world’s ecosystems and livelihoods. This review aimed to investigate the negative and positive impacts of Prosopis juliflora (Sw.) DC on ecosystems in Kenya and Ethiopia. The bibliographic analysis highlighted that Prosopis juliflora was introduced to Kenya and Ethiopia to tackle desertification, ensure the self-sufficiency of wood products, and conserve water and soil in semi-arid areas. Years later, this species has turned invasive; although the communities in infested areas have realized some benefits from this tree such as obtaining timber, charcoal, firewood, shelter, and livestock feed from its pods; the negative impacts of this tree have far outweighed the positives. Notably, this invasive plant has significantly impacted agricultural and livestock productivity by invading pasturelands and farmlands. For instance, the negative health implications for livestock significantly reduce their productivity. Similarly, this plant has reduced the diversity of the native trees, herbaceous, and grasses because of its ability to outcompete them. Control methods such as biological, mechanical, chemical, and control by utilization have been tried but none have so far been effective in controlling this invasive plant. Our results showed that Prosopis juliflora is a serious invader that has a huge potential to invade the arid and semi-arid lands of Kenya and Ethiopia. Therefore, stakeholders at all levels need to implement integrated management strategies to reduce the spread and the negative impacts of this species.

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Section: Charcoal and Electricity Productionmentioning

confidence: 99%

The negative and positive impacts of Prosopis juliflora on the Kenyan and Ethiopian ecosystems: A review study

KISHOIN,

TUMWESIGYE,

TURYASINGURA

et al. 2024

Not Sci Biol

View full text Add to dashboard Cite

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Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas

Bashir,

Bangroo,

Shafai

et al. 2024

J Soils Sediments

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Purpose Particle size distribution (PSD) assessment, which affects all physical, chemical, biological, mineralogical, and geological properties of soil, is crucial for maintaining soil sustainability. It plays a vital role in ensuring appropriate land use, fertilizer management, crop selection, and conservation practices, especially in fragile soils such as those of the North-Western Himalayas. Materials and methods In this study, the performance of eleven mathematical and three Machine Learning (ML) models used in the past was compared to investigate PSD modeling of different soils from the North-Western Himalayan region, considering that an appropriate model must fit all PSD data. Results and discussion Our study focuses on the significance of evaluating the goodness of fit in particle size distribution modeling using the coefficient of determination (R2adj = 0.79 to 0.45), the Akaike information criterion (AIC = 67 to 184), and the root mean square error (RMSE = 0.01 to 0.09). The Fredlund, Weibull, and Rosin Rammler models exhibited the best fit for all samples, while the performance of the Gompertz, S-Curve, and Van Genutchen models was poor. Of the three ML models tested, the Random Forest model performed the best (R2 = 0.99), and the SVM model was the lowest (R2 = 0.95). Thus, the PSD of the soil can be best predicted by ML approaches, especially by the Random Forest model. Conclusion The Fredlund model exhibited the best fit among mathematical models while random forest performed best among the machine learning models. As the number of parameters in the model increased better was the accuracy.

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Exploring soil pedogenesis through frequency-dependent magnetic susceptibility in varied lithological environments

Ouallali,

Bouhsane,

Bouhlassa

et al. 2024

Euro-Mediterr J Environ Integr

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The use of percent frequency-dependent magnetic susceptibility (χfd%) is well-established for detecting superparamagnetic (SP) components in fine-grained soils and sediments. This study employs χfd% as a direct indicator of pedogenetic processes in soils from the Moroccan Rif region. Three soil transects (T1, T2, and T3), each comprising four soil cores with depths reaching 100 to 120 cm, were sampled from distinct lithological formations within an area subject to moderate to intense erosion. A total of 272 soil samples were collected and analyzed using MS2 Bartington Instruments, providing values to calculate χfd% and identify ultrafine ferrimagnetic minerals (SP, < 0.03 μm). In Quaternary fluvial terraces (T1) soils, approximately 60% of the samples indicate a mixture of SP, multidomain (MD), and Single Stable Domain (SSD) magnetic grains, while 30% contained coarser MD grains. Only 10% of the samples exhibit predominantly superparamagnetic (SP) grains. Soils on marly substrates (T2) showed 90% of samples with a combination of SP, MD, and SSD, and just 10% had SP grains. In contrast, soils from Villafranchian sandy deposits displayed χfd% values exceeding 10% in over 50% of samples, indicating that almost all iron components consist of SP grains. Physico-chemical analyses of the soils in profiles T1, T2, and T3 reveal distinct characteristics, including variations in clay content, organic matter, nutrient levels, and proportions of free and total iron. These results are important for understanding soil evolution and pedogenesis, with profiles T1 and T3 showing advanced development marked by high mineral iron, clay, and organic matter content. In contrast, profile T2 reflects a weak stage, influencing nutrient availability and contributing to overall soil dynamics in the respective profiles. The results of this study suggest that magnetic susceptibilities in these samples primarily originate from pedogenetic sources, revealing significantly advanced pedogenesis compared to T1 and T2 soils. The findings of this study align with previous research on soil erosion and degradation in the region, demonstrating that soils developed on terraces and marly substrates are more degraded and less stable than those on sandy substrates. This study underscores the utility of magnetic susceptibility as a rapid and effective indicator for initial soil assessment and gauging the degree of pedogenesis.

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Influence of cultivar and fertilization treatment on the yield and leaf nutrients content of apple (Malus domestica Borkh.)

Cited by 10 publications

References 33 publications

The negative and positive impacts of Prosopis juliflora on the Kenyan and Ethiopian ecosystems: A review study

The negative and positive impacts of Prosopis juliflora on the Kenyan and Ethiopian ecosystems: A review study

Mathematical vs. machine learning models for particle size distribution in fragile soils of North-Western Himalayas

Exploring soil pedogenesis through frequency-dependent magnetic susceptibility in varied lithological environments

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