The effect of biochar loading rates on soil fertility, soil biomass, potential nitrification, and soil community metabolic profiles in three different soils

2016 ◽  
Vol 16 (9) ◽  
pp. 2211-2222 ◽  
Author(s):  
Ibrahim S. Abujabhah ◽  
Richard Doyle ◽  
Sally A. Bound ◽  
John P. Bowman
2013 ◽  
Vol 21 (4) ◽  
pp. 647-657 ◽  
Author(s):  
byung-Jin Lee ◽  
Tae-Hyun Yoon ◽  
Woo-Tae Cho ◽  
Hyun Sik Jun ◽  
Young-Son Cho

1970 ◽  
Vol 6 ◽  
pp. 45-50 ◽  
Author(s):  
Shahriar Zaman ◽  
M Abdul Mazid ◽  
Golam Kabir

This study shows that enhancement of soil fertility along with the yield of chickpea due to nodulation by the Rhizobium is possible to some extent. Data on plant height (cm) at maturity, primary branches/plant, days to flower, pods/plant, pod dry weight/plant (g), seeds/pod, seed dry weight/pod (g), 50 seeds weight (g), nodules/plant, fresh weight of nodules/plant and dry weight of nodules/plant were considered to assess the effect of nodulation in chickpea. Soils treated with Rhizobium always showed higher values than control regarding total nitrogen and organic matter (%). Campus soil showed the highest value for organic matter (%) and N content but Cholonbil soil exhibited the highest value for number of seeds per pod. All the parameters for growth analysis yielded greater values for treated soils compared to that of the control. DOI: http://dx.doi.org/10.3329/jles.v6i0.9720 JLES 2011 6: 45-50


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1794
Author(s):  
Sarbjeet Niraula ◽  
Yong-Keun Choi ◽  
Kristen Payne ◽  
James P. Muir ◽  
Eunsung Kan ◽  
...  

Recently, biochar has been proposed for various agronomic applications including improved plant growth and soil fertility. In this study, the effects of dairy effluent-saturated (SBC) and unsaturated wood-derived biochar (UBC) on Bermudagrass (Cynodon spp.) growth, soil fertility and microbial communities were investigated in a greenhouse pot study. SBC and UBC were mixed with sandy loam soil at various loading rates (0, 1, 2, 4, and 8%) to grow Bermudagrass for 10 weeks. Soil physicochemical properties and plant growth measurements were taken, followed by 16S rRNA (V3-V4) amplicon sequencing of soil bacterial communities. Amendment of SBC to soil altered the soil physicochemical properties and increased the concentrations of N and P in the soil at 2 to 8% loading rates compared to UBC treated soil. The addition of SBC to soil also increased the overall plant biomass compared to UBC with more effects on aboveground biomass. Differential abundance analysis of taxa showed enrichment of Proteobacteria in UBC-amended soil, whereas Firmicutes and Nitrospirae were abundant in SBC-amended soil. Interestingly, enrichment of photosynthetic and N-fixing bacteria was observed in both SBC and UBC-amended soils after 10 weeks of treatments. However, oxidative phosphorylation and biotin metabolisms were found to be more abundant in SBC-amended soil compared to UBC-amended soil. Overall, our study suggested that amendment of SBC to soil resulted in enhanced soil nutrients, microbial capacity and Bermudagrass growth than that of UBC. Therefore, application of SBC to soil in field trials would be merited to identify sustainable and effective practices for enhancing plant growth, soil fertility and soil bacterial community.


1985 ◽  
Vol 15 (2) ◽  
pp. 410-416 ◽  
Author(s):  
S. M. Maliondo ◽  
H. H. Krause

Seedlings representing 10 half-sib families from a black spruce (Piceamariana (Mill.) B.S.P.) stand in central New Brunswick were raised in a greenhouse on three different soils, each with two levels of fertility. Seedling growth varied significantly with soil, fertility, and half-sib family. After 7 months mean dry weights, for example, ranged from 0.292 to 0.755 g with soil, 0.174 to 0.936 g with level of fertility, and 0.370 to 0.657 g with family. With soil and fertility considered fixed variables, the family and family–fertility interaction accounted for approximately 3 and 20% of the phenotypic variation in mean seedling dry weight, respectively. Similar variance components were observed for shoot and root weights, and root collar diameter. Based on the family – soil fertility interaction, the population was divided into groups of (i) broadly adapted families showing average performance through the full range of fertility environments, (ii) strong responders, i.e., families performing below average at low fertility, but showing a large fertilization response, and (iii) weak or nonresponders, i.e., families performing poorly in all fertility environments.


2021 ◽  
Vol 5 ◽  
Author(s):  
Elizabeth French ◽  
Ian Kaplan ◽  
Laramy Enders

Aboveground herbivory can impact the root-associated microbiome, while simultaneously different soil microbial communities influence herbivore performance. It is currently unclear how these reciprocal top-down and bottom-up interactions between plants, insects and microbes vary across different soils and over successive plant generations. In this study, we examined top-down impacts of above-ground herbivory on the rhizosphere microbiome across different soils, assessed bottom-up impacts of soil microbial community variation on herbivore performance, and evaluated their respective contributions to soil legacy effects on herbivore performance. We used Macrosiphum euphorbiae (potato aphid) and Solanum pimpinellifolium (wild tomato) to capture pre-domestication microbiome interactions with a specialist pest. First, using 16S rRNA sequencing we compared bacterial communities associated with rhizospheres of aphid-infested and uninfested control plants grown in three different soils over three time points. High aphid infestation impacted rhizosphere bacterial diversity in a soil-dependent manner, ranging from a 22% decrease to a 21% increase relative to uninfested plants and explained 6–7% of community composition differences in two of three soils. We next investigated bottom-up and soil legacy effects of aphid herbivory by growing wild tomatoes in each of the three soils and a sterilized “no microbiome” soil, infesting with aphids (phase one), then planting a second generation (phase two) of plants in the soil conditioned with aphid-infested or uninfested control plants. In the first phase, aphid performance varied across plants grown in different soil sources, ranging from a 20 to 50% increase in aphid performance compared to the “no microbiome” control soil, demonstrating a bottom-up role for soil microbial community. In the second phase, initial soil community, but not previous aphid infestation, impacted aphid performance on plants. Thus, while herbivory altered the rhizosphere microbiome in a soil community-dependent manner, the bottom-up interaction between the microbial community and the plant, not top-down effects of prior herbivore infestation, affected herbivore performance in the following plant generation. These findings suggest that the bottom-up effects of the soil microbial community play an overriding role in herbivore performance in both current and future plant generations and thus are an important target for sustainable control of herbivory in agroecosystems.


2010 ◽  
Vol 13 (3) ◽  
pp. 54-66
Author(s):  
Phuong Thi Thanh Nguyen ◽  
Phuoc Van Nguyen ◽  
Anh Cam Thieu

This study was performed to evaluate the efficiency of tapioca processing wastewater treatment using aerobic biofilter with variety of biofilter media: coir, coal, PVC plastic and Bio - Ball BB15 plastic. Research results in the lab demonstrated all four aerobic biofilter models processed can treated completely N and COD which COD reached 90-98% and N reached 61-92%, respectively, at the organic loading rates in range of 0.5, 1, 1.5 and 2 kgCOD/m3.day. The results identified coir filter was the best in four researched materials with removal COD and specific substract utilization rate can reach 98%, and 0.6 kg COD/kgVSS.day. Research results open the new prospects for the application of the cheap materials, available for wastewater treatment.


2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.


2017 ◽  
Vol 4 (2) ◽  
pp. 87-91
Author(s):  
Ekamaida Ekamaida

The soil fertility aspect is characterized by the good biological properties of the soil. One important element of the soil biological properties is the bacterial population present in it. This research was conducted in the laboratory of Microbiology University of Malikussaleh in the May until June 2016. This study aims to determine the number of bacterial populations in soil organic and inorganic so that can be used as an indicator to know the level of soil fertility. Data analysis was done by T-Test that is by comparing the mean of observation parameter to each soil sample. The sampling method used is a composite method, which combines 9 of soil samples taken from 9 sample points on the same plot diagonally both on organic soil and inorganic soil. The results showed the highest bacterial population was found in total organic soil cfu 180500000 and total inorganic soil cfu 62.500.000


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