scholarly journals EFFECTS OF ORGANIC FERTILIZERS FOR PASTURE YIELD

Author(s):  
Kira Privalova ◽  
Ruslan Karimov

The results of a field experiment on the effect of systematic surface application of organic fertilizers on the yield of long-term pastures of herbage are presented. With the introduction of manure in doses of 10 and 20 t/ha (once every 4 years), the yield of the pasture was 3.31 and 3.76 t/ha on average over 45 years, which is 51 and 72% higher compared to unfertilized grass stand.

2005 ◽  
Vol 33 (1) ◽  
pp. 251-254 ◽  
Author(s):  
Éva Lehoczky ◽  
András Kismányoky ◽  
Tamás Kismányoky

Author(s):  
Т.А. Кuznetsova ◽  
N.А. Коlpakov

Показано, что длительное применение как минеральных, так и органических удобрений в различных дозах и сочетаниях положительно влияет на урожайность огурца. Установлено, что в условиях 14-й ротации урожайность на всех вариантах опыта была выше, чем на контрольном варианте и составила 16,4–22,3 т/га, против 16,0 т/га в контроле.The authors show that the long-term use of both mineral and organic fertilizers in different doses and combinations has a positive effect on the yield of cucumber. It was found that under 14 rotation conditions the yield on all variants of the experiment was higher than on the control variant and amounted to 16.4–22.3 t/ha, against 16.0 t/ha on the control.


1999 ◽  
Author(s):  
William Birkemeier ◽  
Kent Hathaway ◽  
Ravi Sinha ◽  
Kossi Edoh ◽  
Awatif Amin ◽  
...  

2003 ◽  
Vol 83 (4) ◽  
pp. 363-380 ◽  
Author(s):  
A. J. VandenBygaart ◽  
E. G. Gregorich ◽  
D. A. Angers

To fulfill commitments under the Kyoto Protocol, Canada is required to provide verifiable estimates and uncertainties for soil organic carbon (SOC) stocks, and for changes in those stocks over time. Estimates and uncertainties for agricultural soils can be derived from long-term studies that have measured differences in SOC between different management practices. We compiled published data from long-term studies in Canada to assess the effect of agricultural management on SOC. A total of 62 studies were compiled, in which the difference in SOC was determined for conversion from native land to cropland, and for different tillage, crop rotation and fertilizer management practices. There was a loss of 24 ± 6% of the SOC after native land was converted to agricultural land. No-till (NT) increased the storage of SOC in western Canada by 2.9 ± 1.3 Mg ha-1; however, in eastern Canada conversion to NT did not increase SOC. In general, the potential to store SOC when NT was adopted decreased with increasing background levels of SOC. Using no-tillage, reducing summer fallow, including hay in rotation with wheat (Triticum aestivum L.), plowing green manures into the soil, and applying N and organic fertilizers were the practices that tended to show the most consistent in creases in SOC storage. By relating treatment SOC levels to those in the control treatments, SOC stock change factors and their levels of uncertainty were derived for use in empirical models, such as the United Nations Intergovernmental Panel on Climate Change (IPCC). Guidelines model for C stock changes. However, we must be careful when attempting to extrapolate research plot data to farmers’ fields since the history of soil and crop management has a significant influence on existing and future SOC stocks. Key words: C sequestration, tillage, crop rotations, fertilizer, cropping intensity, Canada


2021 ◽  
Author(s):  
Javier Reyes ◽  
Mareike Ließ

<p>Soil organic carbon (SOC) is of particular interest in the study of agricultural systems as an indicator of soil quality and soil fertility. In the use of Vis-NIR spectroscopy for SOC detection, the interpretation of the spectral response with regards to the importance of individual wavelengths is challenging due to the soil’s composition of multiple organic and minerals compounds. Under field conditions, additional aspects affect the spectral data compared to lab conditions. This study compared the spectral wavelength importance in partial least square regression (PLSR) models for SOC between field and lab conditions. Surface soil samples were obtained from a long-term field experiment (LTE) with high SOC variability located in the state of Saxony-Anhalt, Germany. Data sets of Vis-NIR spectra were acquired in the lab and field using two spectrometers, respectively. Four different preprocessing methods were applied before building the models. Wavelength importance was observed using variable importance in projection. Differences in wavelength importance were observed depending on the measurement device, measurement condition, and preprocessing technique, although pattern matches were identifiable, especially in the NIR range. It is these pattern matches that aid model interpretation to effectively determine SOC under field conditions.</p>


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