Spatial variability of Soil Nutrients and Influencing Factors in a Vegetable Production Area of Hebei Province in China

While CO2 enrichment generally benefits tomato fruit production in winter its effects on summer tomato production (under high air temperature and strong ventilation) are still not clear, especially when the crop has been subjected to long-term CO2 enrichment in winter. Therefore, a study was initiated in 2005 to determine the feasibility of summer CO2 enrichment in southwestern Ontario, a major greenhouse vegetable production area in North America with very hot summers. The long tomato crop (cv. Rapsodie) was planted into rockwool slabs in six greenhouse compartments in January. From January to the middle of June, the tomato plants in all six greenhouse compartments were subjected to the same standard CO2 enrichment practice. From the end of June to August, three CO2 treatments (two compartments for each treatment) were applied: Control (ambient/no enrichment), Enrich1 (800 µL L-1 when ventilation was less than 10% and 400 µL L-1 when less than 50%) and Enrich2 (1200 µL L-1 when ventilation was less than 10% and 500 µL L-1 when less than 50%). In all treatments, CO2 enrichment ceased when ventilation requirement was more than 50%. Leaf photosynthesis, as indicated by the CO2 response curve, partially acclimated to the CO2 enrichment. Marketable fruit yield was reduced by the summer CO2 enrichment. Leaf deformation [short, thick, curled and somewhat crisp, dark grey-green leaves, so-called short leaf syndrome (SLS)] was observed in the greenhouse compartments with summer CO2 enrichment. SLS developed under high light intensity and high CO2 concentration might have limited response of the tomato crop to summer CO2 enrichment. Further investigation on the cause and mechanism of SLS is needed to improve the response of greenhouse tomatoes to summer CO2 enrichment. Key words: Photosynthesis, Lycopersicon esculentum, high temperature stress, acclimation

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Research on influencing factors and countermeasures of industrial carbon emission in Hebei province based on Kaya model

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/450/1/012068 ◽

2020 ◽

Vol 450 ◽

pp. 012068

Author(s):

Zhiguo Fan ◽

Qi Hu

Keyword(s):

Influencing Factors ◽

Carbon Emission ◽

Hebei Province ◽

Industrial Carbon

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Vegetable growing in Azerbaijan in modern conditions

VEGETABLE CROPS OF RUSSIA ◽

10.18619/2072-9146-2020-4-65-68 ◽

2020 ◽

pp. 65-68

Author(s):

H. G. Huseynov ◽

I. G. Jafarov ◽

Mink Vermeer ◽

F. B. Musaev

Keyword(s):

Vegetable Production ◽

Agricultural Producers ◽

Russian Market ◽

Foreign Companies ◽

Current State ◽

Vegetable Seed ◽

Traditional Sector ◽

Production Area ◽

The Republic ◽

Further Development

Relevance. Vegetable growing is a traditional sector of agriculture in Azerbaijan. The republic has all the conditions for its development, both natural and socio-economic. Materials and methods. The aim of the research was to analyze the current state of vegetable growing in the republic, to identify the strengths and weaknesses of the industry, to determine the terms of support for producers from the state and branch science. Results. The gross harvest of vegetables has been steadily growing in the last decades, and by 2019 amounted to 1715 thousand tons. The yield of vegetables also increased during this period from 14, 7 to 21.9 t / ha. In door production area is approximately 4800 ha. The production of greenhouse vegetables is focused on the Russian market. The bottleneck in the industry is vegetable seed production, a market with a capacity of almost 20 million euros is occupied by foreign companies. At the same time, the agricultural producers get state support in the form of subsidies and soft loans and a full tax exemption. Industry science is also developing: the Research Institute of Vegetable Production has been reconstructed and fully equipped, special training organized for vegetable growers in the Azerbaijan State Agrarian University. Further development of the industry continues through the intensification and biologization of production, expanding the range and improving product quality.

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Characteristics of Soil Erodibility K Value and Its Influencing Factors in the Changyan Watershed, Southwest Hubei, China

Land ◽

10.3390/land11010134 ◽

2022 ◽

Vol 11 (1) ◽

pp. 134

Author(s):

Xiaofang Huang ◽

Lirong Lin ◽

Shuwen Ding ◽

Zhengchao Tian ◽

Xinyuan Zhu ◽

...

Keyword(s):

Land Use ◽

Soil Erosion ◽

Spatial Variability ◽

Influencing Factors ◽

Soil Type ◽

Soil Survey ◽

Purple Soil ◽

Soil Erodibility ◽

K Value ◽

K Factor

Soil erodibility K factor is an important parameter for evaluating soil erosion vulnerability and is required for soil erosion prediction models. It is also necessary for soil and water conservation management. In this study, we investigated the spatial variability characteristics of soil erodibility K factor in a watershed (Changyan watershed with an area of 8.59 km2) of Enshi, southwest of Hubei, China, and evaluated its influencing factors. The soil K values were determined by the EPIC model using the soil survey data across the watershed. Spatial K value prediction was conducted by regression-kriging using geographic data. We also assessed the effects of soil type, land use, and topography on the K value variations. The results showed that soil erodibility K values varied between 0.039–0.052 t·hm2·h/(hm2·MJ·mm) in the watershed with a block-like structure of spatial distribution. The soil erodibility, soil texture, and organic matter content all showed positive spatial autocorrelation. The spatial variability of the K value was related to soil type, land use, and topography. The calcareous soil had the greatest K value on average, followed by the paddy soil, the yellow-brown soil (an alfisol), the purple soil (an inceptisol), and the fluvo-aquic soil (an entisol). The soil K factor showed a negative correlation with the sand content but was positively related to soil silt and clay contents. Forest soils had a greater ability to resist to erosion compared to the cultivated soils. The soil K values increased with increasing slope and showed a decreasing trend with increasing altitude.

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Spatial variability of Soil Nutrients Using Geospatial Techniques: A case study in soils of Sanwer Tehsil of Indore district of Madhya Pradesh

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-8-1353-2014 ◽

2014 ◽

Vol XL-8 ◽

pp. 1353-1363 ◽

Cited By ~ 3

Author(s):

G. S. Tagore ◽

G. D. Bairagi ◽

R. Sharma ◽

P. K. Verma

Keyword(s):

Spatial Variability ◽

Soil Nutrients ◽

Spatial Dependence ◽

Chemical Properties ◽

Sampling Strategy ◽

Spatial Prediction ◽

Accurate Estimation ◽

Suitable Alternative ◽

Available N ◽

Physico Chemical

A study was conducted to explore the spatial variability of major soil nutrients in a soybean grown region of Malwa plateau. From the study area, one hundred sixty two surface soil samples were collected by a random sampling strategy using GPS. Then soil physico-chemical properties i.e., pH, EC, organic carbon, soil available nutrients (N, P, K, S and Zn) were measured in laboratory. After data normalization, classical and geo-statistical analyses were used to describe soil properties and spatial correlation of soil characteristics. Spatial variability of soil physico-chemical properties was quantified through semi-variogram analysis and the respective surface maps were prepared through ordinary Kriging. Exponential model fits well with experimental semi-variogram of pH, EC, OC, available N, P, K, S and Zn. pH, EC, OC, N, P, and K has displayed moderate spatial dependence whereas S and Zn showed weak spatial dependence. Cross validation of kriged map shows that spatial prediction of soil nutrients using semi-variogram parameters is better than assuming mean of observed value for any un-sampled location. Therefore it is a suitable alternative method for accurate estimation of chemical properties of soil in un-sampled positions as compared to direct measurement which has time and costs concerned.

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