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May 2025 DOI 10.14302/issn.2639-3166.jar-25-5495
Mekonnen Adare ZenebeCorresponding author
Enset (Ensete ventricosum) is a vital food security crop cultivated in South and South-western parts of Ethiopia. However, enset production and the farming families have been threatened by Xanthomonas wilt and its spread in the farming system. Thus, this study was conducted to investigate the soil fertility and plant management practices association on the incidence of Enset Xanthomonas wilt. Data on soils fertility and diseases from enset based farming clustered into inner, outer and outfield farm zone were sampled and surveyed. The result indicated that soil chemical properties significantly (p≤0.05) varied from inner to outfield farm zone. Significantly maximum nutrients store revealed in inner enset farm zones. Disease incidence reduced from inner to the outfield enset farm zone. Disease prevalence and disease incidence scored 28.5% and 11.6%, respectively depending on altitude and genotypes. Soil fertility levels in the enset inner and outfield plots were varied purposely to cultivate enset products as kocho, bulla or amicho (cooking type). The variations in soil fertility and Xanthomonas wilt incidence was associated with management practices applied for desired enset products. Therefore, management practices in enset based farming, soil fertility and location of enset planting zones found to be major indicators for disease incidence addressing to device control interventions.
Jan 2021 DOI 10.14302/issn.2639-3166.jar-20-3676
Masoero GiorgioCorresponding author
Accademia di Agricoltura di Torino, Via A. Doria 10, 10123 Torino (Italy).
There is currently a lack of rapid indirect analysis methods for the assessment of the effects of soil microbiota on vine production. Fifteen clusters of two Nebbiolo and Erbaluce varieties were identified in five vineyards belonging to a cooperative of winemakers in North West Italy, according to the differences in the NDVI index, as monitored by the Crop Monitoring OES system. The vineyards were surveyed in 2019 and the experimental monitoring of 75 vines was conducted in 2020. The first indirect method (Litterbag-NIRS) involved examining hay litterbags with a smart SCiOTM device. The average litterbag-NIR spectra of the clusters, as far as the yield is concerned, were closely fitted with the measured production yield, with an R2 cross-validated value of 0.91 in the Nebbiolo vines and 0.67 in the Erbaluce vines. The results in yield were accounted for by considering a few dominant variables in both vines, namely the microbic respiration of the soil and the crude protein of the litterbag (positive), opposed to the soil NO3--N and litterbag ADF (negative). The pruning wood was also closely correlated to the litterbag spectra. A second rapid method, foliar pH coupled with the NIR spectroscopy of the leaves, was then performed. The overall results predicted from the foliar NIRS were 0.73 for yield and 0.79 for the Canopy Cover. However, the most interesting result concerned the yield regressions on the foliar pH, which were clearly negative in both vines and of a similar amount: -5.15 kg/pH in Nebbiolo (R2 0.68) and -5.63 kg/pH (R2 0.23) in Erbaluce. Litterbag-NIRS, which shows a high predictive capacity, and foliar pH - with or without foliar-NIRS - are indirect and frugal methods that can be recommended for a rational assessment of the microbial soil fertility of vineyards.
May 2020 DOI 10.14302/issn.2639-3166.jar-20-3363
Masoero GiorgioCorresponding author
Accademia di Agricoltura di Torino, Via A. Doria 10, 10123 Torino (Italy).
Rapid analyses methods for the assessment of soil microbiota are lacking. In a commercial farm tomato plants were subjected to different fertilization strategies: 1. mineral Control (C); 2. Organic amendment (O); 3. Organic amendment + Micosat F © biofertilizer (OM). A first rapid method (Litterbag-NIRS) concerned hay litterbags coupled with a smart SCiOTM device. A second method (Foliar-NIRS) used the same device on the leaves. The plants showed positive responses to the amendment and biofertilization in the yield: C 60.5.1 t ha-1vs. 70.8 in O (+17%) and 74.2 in OM (+23% from C and + 5% (P 0.08) from O). The use of Litterbag-NIRS fingerprinting, completed with litterbags phenotyping and elaborated with a multivariate support vector machine classifier provided a similar knowledge to that obtained from microbial and chemical analyses of the soil. The reason for this response is that the analyses were embedded in the Litterbag-NIRS at medium-high precision. A polydromic function was hypothesized in order to disentangle the activities of different soil microbial populations from each other. The organic amendment delayed the functionality of the rapid r-strategist microbial populations, but at the same time activated slow k-strategists to intake the walls of the hay inside the litterbags. In this sense, the Litterbag-NIRS test can provide an effective “swamp” of the microbial fertility of the soil. Briefly, the Litterbag-NIRS coupled with Foliar-NIRS accounted for 95% of the average yield results, and both are therefore recommended for a rational assessment of microbial soil fertility.
Jan 2019 DOI 10.14302/issn.2639-3166.jar-18-2496
Raj GuptaCorresponding author
Nutrient depletion and imbalanced use of fertiliser nutrients, inappropriate tillage and rain- water management practices often result in land degradation. Declining soil health contributes to climate change through loss in soil productivity, biodiversity, soil carbon, and moisture and ecosystem services. In order to address declining soil health, government of India has launched a soil health card (SHC) scheme aimed at need base use of chemical fertilisers. The paper points out the short-comings in the SHC scheme. Balanced and need base use of chemical fertilizers can be helpful in environmental protection and restoring soil health. The paper identifies potential agronomic practices and production management systems that can reduce our dependence on synthetic nutrients. Integration of soil fertility management domains with computer based QUEFT crop model has the potential of making fertiliser recommendations more domain and crop specific and less cumbersome. For soil health assessment chemical indicators must be integrated with physical and biological properties of the soils which can be predicted through reflectance spectroscopy. For assessing soil health related issues across different agro-ecoregions, there is however an urgent need for building-up more robust soil reflectance libraries.