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Journal of Integrative Agriculture
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Spatial variability of soil bulk density and its controlling factors in an agricultural intensive area of Chengdu Plain, Southwest China
LI Shan, LI Qi-quan, WANG Chang-quan, LI Bing, GAO Xue-song, LI Yi-ding, WU De-yong
2019, 18 (
2
): 290-300. DOI:
10.1016/S2095-3119(18)61930-6
Abstract
(
273
)
PDF
(3344KB)(
261
)
Soil bulk density is a basic but important physic soil property related to soil porosity, soil moisture and hydraulic conductivity, which is crucial to soil quality assessment and land use management. In this study, we evaluated the spatial variability of soil bulk density in the 0–20, 20–40, 40–60 and 60–100 cm layers as well as its affecting factors in Southwest China’s agricultural intensive area. Results indicated the mean value of surface soil bulk density (0–20 cm) was 1.26 g cm–3, significantly lower than that of subsoil (20–100 cm). No statistical difference existed among the subsoil with a mean soil bulk density of 1.54 g cm–3. Spatially, soil bulk density played a similar spatial pattern in soil profile, whereas obvious differences were found in details. The nugget effects for soil bulk density in the 0–20 and 20–40 cm layers were 27.22 and 27.02% while 12.06 and 3.46% in the 40–60 and 60–100 cm layers, respectively, gradually decreasing in the soil profile, indicating that the spatial variability of soil bulk density above 40 cm was affected by structural and random factors while dominated by structural factors under 40 cm. Soil organic matter was the controlling factor on the spatial variability of soil bulk density in each layer. Land use and elevation were another two dominated factor controlling the spatial variability of soil bulk density in the 0–20 and 40–60 cm layers, respectively. Soil genus was one of the dominated factors controlling the spatial variability of soil bulk below 40 cm.
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Spatial variability of soil total nitrogen, phosphorus and potassium in Renshou County of Sichuan Basin, China
GAO Xue-song, XIAO Yi, DENG Liang-ji, LI Qi-quan, WANG Chang-quan, LI Bing, DENG Ou-ping, ZENG Min
2019, 18 (
2
): 279-289. DOI:
10.1016/S2095-3119(18)62069-6
Abstract
(
356
)
PDF
(3400KB)(
734
)
Understanding soil nutrient distributions and the factors affecting them are crucial for fertilizer management and environmental protection in vulnerable ecological regions. Based on 555 soil samples collected in 2012 in Renshou County, located in the purple soil hilly area of Sichuan Basin, China, the spatial variability of soil total nitrogen (TN), total phosphorus (TP) and total potassium (TK) was studied with geostatistical analysis and the relative roles of the affecting factors were quantified using regression analysis. The means of TN, TP and TK contents were 1.12, 0.82 and 9.64 g kg–1, respectively. The coefficients of variation ranged from 30.56 to 38.75% and the nugget/sill ratios ranged from 0.45 to 0.61, indicating that the three soil nutrients had moderate variability and spatial dependence. Two distribution patterns were observed. TP and TK were associated with patterns of obvious spatial distribution trends while the spatial distribution of TN was characterized by higher variability. Soil group, land use type and topographic factors explained 26.5, 35.6 and 8.4% of TN variability, respectively, with land use being the dominant factor. Parent material, soil group, land use type and topographic factors explained 17.5, 10.7, 12.0 and 5.0% of TP variability, respectively, and both parent material and land use type played important roles. Only parent material and soil type contributed to TK variability and could explain 25.1 and 13.7% of TK variability, respectively. More attention should focus on adopting reasonable land use types for the purposes of fertilizer management and consider the different roles of the affecting factors at the landscape scale in this purple soil hilly area.
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Genomic and transcriptomic insights into cytochrome P450 monooxygenase genes involved in nicosulfuron tolerance in maize (
Zea
mays
L.)
LIU Xiao-min, XU Xian, LI Bing-hua, YAO Xiao-xia, ZHANG Huan-huan, WANG Gui-qi, HAN Yu-jun
2018, 17 (
08
): 1790-1799. DOI:
10.1016/S2095-3119(18)61921-5
Abstract
(
375
)
PDF in ScienceDirect
Postemergence application of nicosulfuron for weed control in maize fields can cause great damage to certain maize inbred lines and hybrids. Two maize genotypes, tolerant inbred (HBR) and sensitive inbred (HBS), were found to significantly differ in their phenotypic responses to nicosulfuron, with the EC
50
(50% effective concentration) values differed statistically (763.6 and 5.9 g a.i. ha
–1
, respectively). Pre-treatment with malathion, a known cytochrome P450 inhibitor, increased nicosulfuron injury in both HBR and HBS. Our results support the hypothesis that nicosulfuron selectivity in maize is associated with cytochrome P450 metabolism. Further analysis of the maize genome resulted in the identification of 314 full length cytochrome P450 monooxygenase (CYP) genes. These genes were classified into 2 types, 10 clans and 44 families. The CYP71 clan was represented by all A-type genes (168) belonging to 17 families. Nine clans possessed 27 families containing 146 non-A-type genes. The consensus sequences of the heme-binding regions of A-type and non-A-type CYP proteins are ‘PFGXGRRXCPG’ and ‘FXXGPRXCXG’, respectively. Illumina transcriptome sequence results showed that there were 53 differentially expressed CYP genes on the basis of high variation in expression between HBS and HBR, nicosulfuron-treated and untreated samples. These genes may contribute to nicosulfuron tolerance in maize. A hierarchical clustering analysis obtained four main clusters named C1 to C4 in which 4, 15, 21, and 13 CYP genes were found in each respective cluster. The expression patterns of some CYP genes were confirmed by RT-qPCR analysis. The research will improve our understanding of the function of maize cytochrome P450 in herbicide metabolism.
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Effects of antibacterial compounds produced by
Saccharomyces cerevisiae
in Koumiss on pathogenic
Escherichia coli
O
8
and its cell surface characteristics
CHEN Yu-jie, WANG Chun-jie, HOU Wen-qian, WANG Xiao-shuo, GALI Bing-ga, HUASAI Si-mu-ji-de, YANG Si-qin, WU A-qi-ma, ZHAO Yu-fei, WU Ying-ga, CHEN Ao-ri-ge-le
2017, 16 (
03
): 742-748. DOI:
10.1016/S2095-3119(16)61516-2
Abstract
(
968
)
PDF in ScienceDirect
The effects of antibacterial compounds produced by Saccharomyces cerevisiae
in Koumiss on pathogenic
Escherichia coli
O
8
and its cell surface characteristics were investigated.
S. cerevisiae
isolated from Koumiss produced antibacterial compounds which were active against pathogenic
E. coli
O
8
as determined by the Oxford cup method. The aqueous phases from
S. cerevisiae
at pH=2.0 (S2) and pH=8.0 (S8) were extracted and tested, respectively. The organic acids of S2 and S8 were determined by high performance liquid chromatography (HPLC), and the concentrations of killer toxins were determined by enhanced bicinchoninic acid (BCA) Protein Assay Kit. The minimum inhibition concentration (MIC) and the minimum bactericidal concentration (MBC) of S2 and S8 on
E. coli
O
8
were determined by the broth microdilution method. The effects of S2 and S8 on the growth curve of
E. coli
O
8
were determined by turbidimetry, and the hydrophobicities of
E. coli
O
8
cell surface were determined using the microbial adhesion to solvents method, the permeation of
E. coli
O
8
cell membrane were determined by the o-nitrophenyl-β-D-galactoside (ONPG) method. Aqueous phases at pH 2.0 and 8.0 had larger inhibition zones and then S2 and S8 were obtained by freeze-drying. The main component in S2 was citric acid and it was propanoic acid in S8. Other organic acids and killer toxins were also present. Both the MICs of S2 and S8 on
E. coli
O
8
were 0.025 g mL
–1
, the MBCs were 0.100 and 0.200 g mL
–1
, respectively. The normal growth curve of
E. coli
O
8
was S-shaped, however, it changed after addition of S2 and S8.
E. coli
O
8
was the basic character, and had a relatively hydrophilic surface. The hydrophobicity of
E. coli
O
8
cell surface and the permeation of
E. coli
O
8
cell membrane were increased after adding S2 and S8. The present study showed that S2 and S8 inhibit the growth of pathogenic
E. coli
O
8
and influence its cell surface characteristics.
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