Integrated effects of organic, inorganic and biological amendments on methane emission, soil quality and rice productivity in irrigated paddy ecosystem of Bangladesh: field study of two consecutive rice growing seasons

2014 ◽  
Vol 378 (1-2) ◽  
pp. 239-252 ◽  
Author(s):  
Muhammad Aslam Ali ◽  
M. A. Sattar ◽  
M. Nazmul Islam ◽  
K. Inubushi
Keyword(s):  
Field Study ◽  
Soil Quality ◽  
Methane Emission ◽  
Rice Productivity ◽  
Growing Seasons ◽  
Paddy Ecosystem

CH4 Emissions Reduction Potential of Rice Paddy Ecosystem in South Jiangsu Province

2013 ◽  
Vol 734-737 ◽  
pp. 1820-1823
Author(s):  
Lei Zhong ◽  
Hui Zou ◽  
Xin Hao
Keyword(s):  
Reduction Potential ◽  
Rice Paddy ◽  
Jiangsu Province ◽  
Emissions Reduction ◽  
Temporal And Spatial Variation ◽  
Growing Seasons ◽  
Paddy Ecosystem ◽  
Variation Characteristics ◽  
Temporal And Spatial ◽  
The Difference

Estimating the reduction potential of methane (CH4) emissions in order to provide some advices for reducing them in paddy ecosystem. In order to study the temporal and spatial variation characteristics and the reduction potential of CH4emissions, conducting a database of CH4emissions of rice growing seasons and rice growing area in the study area. From 2001 to 2010, both the rice growing area and the CH4emission of south Jiangsu province shown a declining trend. In these 10 years, total CH4emissions decreased by 29.90×1010g, a drop of 30.72%. Base on the rice growing area in 2010, the total reduction potential of CH4emissions was 46.18×1010g in south Jiangsu province. From 2001 to 2010, the difference of CH4emissions per unit area between the cities were not big, their CH4emissions reduction was mainly due to a reduction of rice growing area.

Soil Quality for Rice Productivity and Yield Sustainability under Long-term Fertilizer and Manure Application

2019 ◽  
Vol 50 (11) ◽  
pp. 1330-1343 ◽  
Author(s):  
Pradipta Majhi ◽  
K. K. Rout ◽  
Gangadhar Nanda ◽  
Muneshwar Singh
Keyword(s):  
Soil Quality ◽  
Manure Application ◽  
Rice Productivity ◽  
Yield Sustainability

Effect of Chinese milk vetch (Astragalus sinicus L.) as a green manure on rice productivity and methane emission in paddy soil

2010 ◽  
Vol 138 (3-4) ◽  
pp. 343-347 ◽  
Author(s):  
Chang Hoon Lee ◽  
Ki Do Park ◽  
Ki Yuol Jung ◽  
Muhammad Aslam Ali ◽  
Dokyoung Lee ◽  
...  
Keyword(s):  
Methane Emission ◽  
Paddy Soil ◽  
Green Manure ◽  
Astragalus Sinicus ◽  
Rice Productivity ◽  
Chinese Milk Vetch

scholarly journals SMAF: A Soil Health Assessment Tool

2013 ◽  
Vol 120 (1-4) ◽  
pp. 1-13
Author(s):  
D. L. KARLEN ◽  
C. D. NANCE ◽  
D. L. DINNES ◽  
D. W. MEEK
Keyword(s):  
Soil Quality ◽  
Management Practices ◽  
Assessment Tool ◽  
Soil Health ◽  
Health Assessment ◽  
Soil Management ◽  
Winter Triticale ◽  
Growing Seasons ◽  
Health Differences ◽  
Health Assessments

The Soil Management Assessment Framework (SMAF) was developed to help quantify soil quality/health effects of tillage, crop rotation, and other soil management practices. Our objective was to determine if the SMAF could detect soil health differences after growing a single winter triticale (X Triticosecale Wittmack) crop. Soil samples were collected from 0 to 7.5- and 7.5 to 15-cm depth increments during the 2003 – 2004 and 2004 – 2005 growing seasons near Ames and Lewis, IA, and analyzed for several potential soil quality indicators. The SMAF analysis showed higher soil quality ratings for surface than subsurface samples. It also showed that a single winter grain crop can significantly improve soil quality after either corn (Zea mays L.) or soybean (Glycine max [L.] Merr.). Finally, in response to increasing interest in soil health assessments, a detailed appendix is attached to provide guidance for future soil health assessments.

scholarly journals Agronomic Responses of Soybean Genotypes to Starter Nitrogen Fertilizer Rate

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 535 ◽  
Author(s):  
Violeta Mandić ◽  
Snežana Đorđević ◽  
Zorica Bijelić ◽  
Vesna Krnjaja ◽  
Vlada Pantelić ◽  
...  
Keyword(s):  
Field Study ◽  
Oil Content ◽  
Weather Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Organic N ◽  
Quantitative Parameters ◽  
Growing Seasons ◽  
Soybean Genotypes ◽  
Favorable Weather

The main nitrogen (N) sources in soybean production originate from soil fixing bacteria Bradyrhizobium spp. and from mineralization of soil organic N. These sources of N are often not sufficient to cover the N needs of the soybean. The present two-year field study aimed to evaluate the effects of soybean genotypes (Valjevka and Galina) and rates of starter fertilizer N (0, 30, 60, and 90 kg ha−1) on quantitative and qualitative parameters and on rain use efficiency (RUE) under contrasting weather conditions in the Pannonian region of Serbia. A field study conducted during two different growing seasons: first year with unfavorable weather conditions and second year with favorable weather conditions. As expected, the quantitative parameters, oil content, and RUE were higher in the year with favorable growing season, the second one. According to measured parameters, the genotype Valjevka performed higher yield potential as compared to the genotype Galina. The highest values of quantitative parameters and RUE were recorded at 60 kg N ha−1, protein content at 90 kg N ha−1 and oil content 0 kg N ha−1 (control). This study suggests that proper genotype selection and application of 60 kg N ha−1 as a starter dose with rhizobial inoculation could contribute to the high yield, while protein could be altered by N amount, independently on genotype.

Does the use of cowpea in rotation with a vegetable crop improve soil quality and crop yield and quality? A field study in SE Spain

2019 ◽  
Vol 107 ◽  
pp. 10-17
Author(s):  
Virginia Sánchez-Navarro ◽  
Raúl Zornoza ◽  
Ángel Faz ◽  
Juan A. Fernández
Keyword(s):  
Field Study ◽  
Soil Quality ◽  
Crop Yield ◽  
Vegetable Crop ◽  
Se Spain ◽  
Yield And Quality

Desert Agriculture

2018 ◽  
Author(s):  
Connie Y. Chiang
Keyword(s):  
Soil Quality ◽  
Arid Land ◽  
Japanese Americans ◽  
Marginal Land ◽  
Important Goal ◽  
Growing Seasons ◽  
Local Municipalities ◽  
Limited Food ◽  
Agricultural Programs ◽  
Food Consumed

This chapter explores efforts to develop agricultural programs that would allow the camps to grow or raise most of the food consumed by Japanese Americans. This was a particularly important goal because wartime rationing and military demands limited food supplies. However, it was also quite challenging, as most of the camps were located on arid land with short growing seasons and variable soil quality. Even the most experienced farmers found it difficult to grow crops on marginal land. In addition to weather and soil problems, the WRA encountered labor shortages, resistance from local municipalities, and wartime mandates. While the camps did not produce all of their food, they did develop an extensive agricultural program with significant yields.

scholarly journals The Effect of Climate Change on Variations in Dew Amount in a Paddy Ecosystem of the Sanjiang Plain, China

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yingying Xu ◽  
Baixing Yan ◽  
Jie Tang
Keyword(s):  
Global Warming ◽  
Relative Humidity ◽  
Meteorological Data ◽  
Warming Trend ◽  
Sanjiang Plain ◽  
Dew Point ◽  
The Sanjiang Plain ◽  
Growing Seasons ◽  
Paddy Ecosystem ◽  
Dew Amount

Due to global warming, a drying and warming trend has been observed over the last 50 years in the Sanjiang Plain of Heilongjiang Province, China, which could significantly affect the condensation of vapor in paddy ecosystems. Dew is a crucial factor in the water and nutrient cycling of farmland ecosystems, and it exerts an important influence on fertilization and other agricultural activities. In order to reveal the effects of global warming on dew variation in a paddy ecosystem, anin situexperiment was conducted in paddy fields in the Sanjiang Plain during the growing seasons of 2011 to 2013. Dew was collected and measured with a poplar stick. The results of correlation analysis between meteorological factors and dew intensity in the paddy ecosystem indicate that the dew point temperature and relative humidity significantly influenced the dew intensity. Based on synchronous meteorological data, a stepwise linear multivariation regression model was established to predict dew amount. The model successfully interpreted the relationship between simulated and measured dew intensity. The results suggest that a warmer and drier climate would lead to a reduction in dew amount because water cannot condense when relative humidity falls below 71%.

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