사과 '후지' 품종의 품질에 미치는 토양이화학성의 상대적 기여도

In order to study the effect of poultry manure additions on nutrient availability, soil physical and chemical properties and yield of tomato, five levels of the manure, namely 0, 10, 25, 40 and 50 t ha-1 were applied at Akure, Southwest Nigeria. The soil at the two experimental sites were slightly acidic, low in organic matter, N, P, and Ca. Poultry manure increased soil organic matter, N and P. Soil bulk density were reduced and moisture content increased with levels of manure. Manure applications increased leaf N, P, K, Ca and Mg concentrations of tomato, plant height, number of branches, root length, number and weight of fruits. The 25 t ha-1poultry manure gave highest leaf P, K, Ca and Mg and yield relative to control. The 10, 25, 40 and 50 t ha-1 manure levels increased average fruit weight by 58, 102, 37 and 31% respectively. Key words: Poultry manure, nutrient availability, soil physical properties, soil chemical properties, tomato yield.

Soil fertility is the result of interactions between the physical and chemical soil attributes, affecting its biological component, which in turn feeds back to the physical and chemical soil attributes. The No‐Till System (NTS) is the main modality of Conservation Agriculture, essential to achieving farming sustainability and conserving soil fertility. However, farmers often fail to adopt the three principles of NTS: (a) minimum mechanical soil disturbance, (b) permanent soil cover and (c) plant diversification; therefore, the system currently requires a quality measurement. The NTS Participatory Quality Index (PQI) is a tool to qualify and monitor the farm system and requires the participation of the farmers themselves. The aim of this study was to assess key soil quality attributes associated with the implementation of PQI methodology during a large‐scale dissemination campaign in areas under NTS in Paraná State, Brazil (Paraná River Watershed 3), in order to demonstrate the effectiveness of the PQI as a tool to drive the improvement of farmers' management. Spearman's correlation coefficients were established between PQI scores and the chemical and physical soil attributes, as well as the indicators incorporated into the PQI. Data were obtained in the Paraná River Watershed 3 from 40 areas of farmland under different farm systems. Crop rotation was the primary management approach that improved soil and agricultural management quality under Brazilian conditions, and confirmed in the study region. The NTS PQI provided a way to evaluate soil management quality in the areas assessed. The rapid soil structure diagnosis proved to be a good tool for assessing soil structure. Highlights Farmers often fail to adopt the principles of NTS; therefore, the system requires a quality measurement. A classification system to help farmers and agricultural professionals make good soil management decisions was proposed. The tool was trialed on 40 areas of farmland under different farm systems in the Paraná River Watershed 3. The NTS Participatory Quality Index (PQI) was used to successfully evaluate soil management quality.

Trade-off between soil pH, bulk density and other soil physical properties under global no-tillage agriculture

Introduction: Saffron is one of the most important economic plants in the Khorasan province. Awareness of soil quality in agricultural lands is essential for the best management of lands and for obtaining maximum economic benefit. In general, plant growth is a function of environmental factors especially chemical and physical properties of soil (20). It has been demonstrated that there was a positive and high correlation between soil organic matter and saffron yield. Increasing the yield of saffron due to organic matter is probably due to soil nutrient, especially phosphorous and nitrogen and also improvement of soil physical quality (6, 28, 29). The yield of saffron in soils with high nitrogen as a result of vegetative growth is high (8). Shahandeh (6) found that most of the variation of saffron yield depends on soil properties. Due to the economic importance of saffron and the role of soil properties on saffron yield, this research was conducted to find the relationship between saffron yield and some soil physical and chemical properties, and to determine the contribution of soil properties that have the greatest impact on saffron yield in the Ghayenat area. Materials and Methods: This research was performed in 30 saffron fields (30 soil samples) of the Ghayenat area (longitude 59° 10΄ 10.37˝ - 59° 11΄ 38.41˝ and latitude 33° 43΄ 35.08˝ - 33΄ 44΄ 02.78˝), which is located in the Khrasan province of Iran. In this research, 21 soil properties were regarded as the total data set (TDS). Then the principal component analysis (PCA) was used to determine the most important soil properties affecting saffron yield as a minimum data set (MDS) and the stepwise regression to estimate saffron yield. To estimate the yield of saffron in stepwise regression method, saffron yield was considered as a dependent variable and soil physical and chemical properties were considered to be independent variables. Results and Discussion: According to the PCA method, among the 21 studied properties, 7 out of them including calcium, iron, zinc contents, sand, calcium carbonate equivalent percent, mean weight diameter of aggregates (MWD) and manganese (Mn) had the higher Eigenvalues. Therefore, the above properties were introduced as the most important soil properties in saffron fields. Calcium carbonate had the negative effect on the availability of micro-nutrients (26). Christensen et al. (15) found that by increasing the calcium carbonate in soil due to high pH and formation of insoluble components, the uptake of micro-nutrients is especially limited. The results of stepwise regression method (equation 1) showed that soil acidity (pH), zinc content, bulk density, MWD, iron content, salinity (EC), organic carbon and available potassium in soil were the most important properties that affect the yield of saffron, so that the determination coefficient (R2) of the regression model was high (Table 2) and it can explain 74% of the variation of saffron yield. Y = 6924.51 – 1187.31 pH – 89.65 EC + 71.6 Fe – 826.02 Zn + 471.55 OC, + 5490.96 K + 1353.56 BD + 752.82 MWD (1) where Y: saffron yield (kgha-1), pH: soil acidity, EC: electoral conductivity (dSm-1), Fe: iron concentration (mgkg-1), Zn: zinc concentration (mgkg-1), OC: organic carbon (%), K: soil potassium (%), BD: soil bulk density (Mgm-3), and MWD: mean weight diameter of aggregates (MM). Based on the absolute values of standard s in the regression model (Table 3), pH value and then after Zn concentration had the most effect on saffron yield. In general, responses of different plants to soil pH is varied, and saffron grows satisfactory in pH = 7.8 (5). Soil pH influences the uptake of soil nutrients by plants (15), so that this parameter had the most effect on saffron yield and by increasing the soil pH, the yield of saffron decreases. According to the regression model, Zn concentration was the second parameter in saffron yield. Zn has the important role in structure of plant enzymes (30). After these 2 parameters, Bd, MWD, Fe concentration, EC, Organic carbon and K concentration in soil had more effect on saffron yield (Table 3). Conclusion: According to both PCA and regression methods, the concentration of iron and zinc and MWD were determined as the important and effective soil properties on saffron yield in the Ghayenat area. In addition, soil pH in stepwise regression method and calcium carbonate in PCA method were determined as the effective properties on saffron yield. Therefore, it is suggested that the parameters of Zn, Fe, and MWD along with soil pH and calcium carbonate which were regarded individually in two methods, were considered as the most soil properties in saffron yield.

Spatial variability of soil physical and hydrological properties within or among agricultural fields could be intrinsically induced due to geologic and pedologic soil forming factors, but some of the variability may be induced by anthropogenic activities such as tillage practices. No-tillage has been gaining ground as a successful conservation practice, and quantifying spatial variability of soil physical properties induced by no-tillage practices is a prerequisite for making appropriate site-specific agricultural management decisions and/or reformulating some management practices. In particular, there remains very limited information on the spatial variability of soil physical properties under long-term no-tillage corn and tropical soil conditions. Therefore, the main objective of this study was to quantify the spatial variability of some selected soil physical properties (soil surface temperature (ST), volumetric water content (θv), soil resistance (TIP), total porosity (θt), bulk density (ρb), organic carbon, and saturated hydraulic conductivity (Ksat)) using classical and geostatistical methods. The study site was a 2 ha field cropped no-tillage sweet corn for nearly 10 years on Oahu, Hawaii. The field was divided into 10 × 10 and 20 × 20 m grids. Soil samples were collected at each grid for measuring ρb, θt, and soil organic carbon (SOC) in the laboratory following standard methods. Saturated hydraulic conductivity, TIP at 10 and 20 cm depths, soil surface temperature, and θv were also measured. Porosity and ρb have low and low to moderate variability, respectively based on the relative ranking of the magnitude of variability drawn from the coefficient of variation. Variability of the SOC, TIP, and Ksat ranges from moderate to high. Based on the best-fitted semivariogram model for finer grid data, 9.8 m and 142.2 m are the cut off beyond which the measured parameter does not show any spatial correlation for SOC, and TIP at 10 cm depth, respectively. Bulk density shows the highest spatial dependence (range = 226.8 m) among all measured properties. Spatial distribution of the soil properties based on kriging shows a high level of variability even though the sampled field is relatively small.

Farming practices involving less intense chemical use are becoming popular in the United States primarily because of environmental concerns related to the use of chemicals in conventional farming systems. Physical and chemical soil properties were assessed on four farms, one conventional farm and three organic farms 3 (OF3), 6 (OF6), and 9 (OF9) years after certification. All farms were located in Doña Ana County of southern New Mexico, sited on Harkey soil (coarse silty, mixed, calcareous, thermic typic Torrifluvents). OF3, OF6, and OF9 were planted to cotton (Gossypium arboreum L.), chile (Capsicum annuum), and alfalfa (Medicago sativa) in 2006, respectively, and the conventional farm was planted to cotton. Core and bulk soil samples were collected from each farm at three different locations and three depths during September 2005, June 2006, and November 2006. Clay content was positively correlated with field capacity, wilting point, and available water capacity (AWC) and negatively correlated with transmission pore volume (VTP) and sand content at most depths. The one-way analysis of means of soil physical and chemical properties separately by depth showed that bulk density (ρb) was greater in November 2006 samples than in September 2005 and June 2006 samples in OF9 and was lowest in the conventional farm. In general, saturated hydraulic conductivity (Ks), volume of storage pores, effective porosity, AWC, and VTP showed little variation and were not related to the amount of time under organic farming. Soil pH and electrical conductivity (EC) were greater in the organic farms, and EC values mostly increased with increasing amount of time under organic farming. The greatest EC (2.6 dS m−1) in OF9 indicated that 9 years of manure application has raised soil salinity only slightly. Although no evidence on significant improvement of soil quality due to organic farming was observed, with regard to soil storage and transport properties and soil salinity, the organic farming system is sustainable for this region.

Inclusion of a legume crop in a cropping system can improve soil physical and chemical properties, particularly in predominantly rice cultivating areas. Analysis of Variance (ANOVA) was performed between different soils and cropping systems to evaluate soil physical and chemical properties in Balod District of Chhattisgarh state of India. Among the soils, inVertisols, bulk density (BD) (p = .024), hydraulic conductivity (HC) (p < .005), available Fe (p < .005), available Mn (p < .005), available Zn (p < .005) and available B (p < .005) were found to be significantly lower than that of Inceptisols. However, significantly higher for porosity (p = .040), field capacity (FC) (p < .005), wilting point (WP) (p < .005), water holding capacity (WHC) (p < .005), mean weight diameter (MWD) (p < .005), soil pH (p < .005), electrical conductivity (EC) (p < .005), organic carbon (OC) (p < .005), available N (p < .005), available P (p < .005), available K (p < .005) and available S (p < .005). Tukey’s post-hoc test for multiple comparisons indicated that BD was found significantly higher for soils under rice-wheat (RW) cropping system, than that of soils under rice-chickpea (RC) (p < .005), rice-lathyrus (RL) (p < .005), and rice-fallow (RF) (p = .032). However, other soil properties i.e. porosity, FC, WP, WHC, HC, MWD, soil pH, OC, available N, available P, available K, available S, and available Zn were found significantly higher for soils under rice-legume cropping system (RC and RL), than that of soils under RW and RL. Thus, from the study, it is concluded that inclusion of legumes into cropping systems maintained better soil physical and chemical properties and helpful to work out the best management practices for sustaining intensive cultivation.

Conventional (CT) and no‐tillage (NT) effects on soil physical properties and bromide (Br) movement were studied at two locations in North Carolina. The soils were a Norfolk sandy loam (fine‐loamy, siliceous, thermic Typic Paleudult) at a North American eastern Coastal Plain location and a Pacolet sandy clay loam (clayey, kaolinitic, thermic Typic Kanhapludult) at a Piedmont location. Bulk density (Db), macroporosity (Mp), and saturated hydraulic conductivity (Ks) were measured in the plant row (R) and trafficked (T) or untrafficked (N) interrow positions. Simulated rain was applied at two intensities to 1−m2 plots after KBr was surface applied. The first simulated rain (30 min) consisted of a low (1.27 cm h−1) or a high (5.08 cm h−1) intensity applied 24 h after Br application. One week later, the high rainfall rate was repeated on all plots. Soil samples for Br determinations were taken 2 days after each rain simulation event to a depth of 40 cm and at the end of the growing season to 120 cm. Soil physical properties were affected by both tillage and position. Bulk density was greater for NT than for CT and in the T compared with R and N row positions. Mp was significantly greater in NT than CT at Coastal Plain location, but the results were opposite at the Piedmont location. Saturated hydraulic conductivity was highly variable ranging from 0.36 cm h−1 to 14.4 cm h−1 at the Coastal Plain location and from 0.06 cm h−1 to 7.12 cm h−1 at the Piedmont location. Saturated hydraulic conductivity at T position was about 100% lower than Ks at N and R positions, but the effect of tillage system was not significant on Ks. The surface 10 cm of soil contained the greatest Br concentration for both tillage systems. For the first and second sampling dates, greater Br movement occurred under NT vs. CT. However, no significant differences were observed in Br movement in the end of season sampling. Because of the coarser soil texture, greater Ks and Mp at the Coastal Plain location, Br moved, to a greater depth at this site than at the Piedmont site.

The Amazon region has a great diversity of landscapes such as forests galleries, natural fields (“Cerrados Amazônicos”), dense forest, these environments made possible the formation of a broad class of soils over time. The aim of this study was to evaluate the physical and chemical properties of soils in different physiographic environments in southern Amazonas, Brazil. Three areas of representative physiographies were selected, all of them in natural conditions: natural field / forest and floodplain / dry land transitions, and corrugated relief areas. Soil samples were collected in layers of 0.0 to 0.20 and 0.80-1.0 m. From the samples collected the following physical analyzes were performed: particle size, bulk density, particle density, total porosity and saturated hydraulic conductivity; and chemical: exchangeable calcium, magnesium, aluminum and potassium available, phosphorus, potential acidity, pH and organic carbon. Based on the results of chemical analysis were calculated the sum of bases and base saturation. The results were submitted to multivariate statistics analysis, at the discretion of the principal component analysis (PCA). From the results it is clear that different physiographic environments studied influence the formation of different soil classes, featuring the diversity of Amazonian soils. The PCA allowed the distinction and formation of different similarity groups, thus enabling to relate the physical and chemical properties with the physiographic formation in which they are inserted.

In China, almost half of the total land area is degraded, mainly due to the unreasonable use of land for agricultural production. During the past half‐century, afforestation has become a popular management option to remedy degraded soils. In this paper, we studied the long‐term effects of afforestation on the major properties of soils with different textures. We measured the changes in soil physical, chemical, and fertility properties after 10, 20, and 30 years of afforestation with black locust (Robinia pseudoacacia) on abandoned farmland at five sites on the Loess Plateau, China, which is characterized by a temperate monsoon climate. The soil clay contents varied significantly among sites. The objectives were to understand how long‐term afforestation affects soil properties and whether such effects depend on the soil texture. Averaged across the five sites and the depths of 0–10 and 10–20 cm, afforestation resulted in significant increases in the proportion of macroaggregates (+22.5%), saturated hydraulic conductivity (+185.4%), organic matter content (+110.5%), and total nitrogen content (+110.5%) but significant decreases in the proportion of microaggregates (−21.9%) and bulk density (−10.8%). The silt + clay fraction, soil pH, and nitrate content were minimally affected by afforestation. The effects of afforestation were greater at 0–10 cm than at 10–20 cm, but they varied between sites. Furthermore, most soil metrics linearly responded to the time of afforestation, and such responses were dependent on the soil clay content. Our results suggest that long‐term afforestation improves soil fertility better in soils with a clay content of approximately 20%.

Organic wastes have a positive impact on soil physical and chemical properties in the agroecosystems. However, its main effects on soil organic carbon (SOC) or total organic carbon, TOC (SOC and coal-C) contents as well as their effects on soil physico-chemical properties are still unclear. Two types of organic wastes (maize straw and manure) were utilized in dryland affected by mining activities to quantify their relative effect on soil physico-chemical properties. Regression analysis was used to assess the relationship between the soil physical properties, SOC, and TOC as well as their respective contributions to improving these properties. Treatments included control (CK), straw (S), low manure (LM), medium manure plus straw (S-MM), and high manure plus straw (S-HM). The results showed that SOC, soil bulk density, mean weight diameter (MWD), soil total porosity, soil penetration resistance, saturated hydraulic conductivity, and soil infiltration rate were strongly influenced by the application of organic wastes. A stronger linear relationship between SOC and the MWD, (R2 = 0.93, p &lt; 0.05) compared to that between TOC and MWD indicated the important role of SOC in improving soil aggregation relative to the effect of TOC. According to the principal component analysis (PCA), the application of organic wastes had stronger effects on SOC contents and physical properties than TOC (SOC and coal-C). These findings advance our understanding of the actual effect of organic wastes on soil physical properties and SOC in dryland affected by mining activities and could inform fertilizer management decisions to improve soil properties.

Tillage is a critical soil management option that affect many soil physical, chemical and biological properties, which in turn may alter the soil environment and consequently impact on root growth and distribution, and crop yield. This study was carried out to evaluate the long-term effects of different soil tillage systems on some soil physical properties under both irrigated and rainfed wheat productions for nine consecutive wheat seasons (2011-12 and 2019-20) at Koont research farm, PMAS-Arid Agriculture University, Rawalpindi. Four soil tillage systems were performed i.e. conventional tillage system (S1), reduced tillage system-1 (S2), reduced tillage system-2 (S3) and no tillage system (S4). The results showed that soil moisture content measured at both soil depths (0-15 and 15-30 cm) was the maximum in direct sowing (S4) and lowest in conventional soil tillage system (S1). Bulk density and porosity were changes with tillage depth. Among studied tillage systems, bulk density and penetration resistance values were the maximum and porosity was lowest in direct wheat sowing system. Soil particle size distribution was affected by operations and agricultural machinery used in soil tillage systems. The aggregate size smaller than 1 mm showed higher fragmentation (42.25%) in S3. This study showed that soil physical properties were influenced by tillage systems in wheat production under irrigation and rainfed environment. Although the climate of the study area is semi-arid and direct sowing system provide maximum moisture but reduced tillage method can be used for better soil physical properties and highest crop yield.

This study was conducted to understand the long-term influence of biostimulator NeOsol in combination with different manure types on soil’s physical properties and crop status. NeOsol is a soil biostimulator that should stimulate the biological reactions of the soil profile and improve the soil’s physical and chemical properties. A six-year experiment was conducted with eight treatments: NPK, cattle manure, pig manure, poultry manure, and the same four treatments with the NeOsol added on top. The in situ sampling of soil properties provided data on unit draft (UD), bulk density (BD), and saturated hydraulic conductivity (SHC). Furthermore, remotely sensed data were analyzed to describe crop status via three selected vegetation indices (VI), and crop yields were assessed last. The variants treated with NeOsol demonstrated decreases in UD over time; BD, SHC, and VI did not significantly change. The impact on yield was significant and increased over time. When comparing the variants with manure application to those without one, the cattle manure led to significantly higher SHC; the pig manure led to significantly lower UD and BD but significantly higher SHC and yield; and the poultry manure led to significantly lower UD and BD but higher yield.

The results of revealing the peculiarities of sweet cherry fruit quality formation of different varieties depending on the weather conditions of the growing year in the southern region of Russia are presented. The study was conducted in the Prikubanskaya horticultural zone of the Krasnodar Territory, characterized by hot and dry summer, abnormally high air temperatures during the period of fruit bud differentiation, mild and low-snow winter with sharp changes in positive and subzero temperatures. The objects of the study were 11 sweet cherry varieties of domestic and foreign selection: Alaya, Dar izobiliya, Sashenka, Chernye glaza, Kavkazskaya, Aelita, Yantarnaya, Krupnoprodnaya, Prestizhnaya, Sputnik, Francis. The purpose of the study was to determine the peculiarities of generation and dynamics of weight, biochemical indices of fruits depending on the genotype of the variety and conditions of the year. The obtained data confirm that a number of factors have a significant effect on the fruit size and weight, and the accumulation of biochemical substances is determined by the characteristics of the variety and differs from year to year within the limits determined by the genotype. Aclose correlation between weight, fruit size and biochemical composition with meteorological indicators: precipitation, average annual and average air temperatures during the period of fruit formation was found. It was found that fruit weight was more influenced (R2 = 0.74) by the average annual air temperature: the higher it was, the larger the fruit size, and vice versa. Significant correlation dependence (R2 = 0.95) was revealed between the amount of precipitation in May and vitamin C accumulation in fruits, i.e. the greater the amount of precipitation, the lower the vitamin C content. A close relationship (R2 = 0.91) was found between the content of anthocyanins and the average monthly air temperature in May, which indicates that the higher the temperature, the less these substances accumulate in fruits. According to the results of the study, several varieties with high fruit quality (weight over 9.0 g, tasting score 4.5–4.7 points) and the best content of various biochemical substances were selected for the creation of new varieties with high flavor and fruit quality. These varieties are Alaya, Kavkazskaya, Krupnoplodnaya, Prestizhnaya and Chernye glaza.

Subsoil compaction caused by heavy sugarbeet harvesters in southern Sweden: I. Soil physical properties and crop yield in six field experiments