Spatially Applied Soil Amendments Decrease Soil Property and Crop Yield Variability on a Small-Plot Research Field

2014 ◽  
Vol 13 (1) ◽  
pp. CM-2014-0001-RS
Author(s):  
J. Vaughn Skinner ◽  
Kristofor R. Brye ◽  
Richard J. Norman ◽  
Nathan A. Slaton
2022 ◽  
Vol 196 ◽  
pp. 103338
Author(s):  
Fekremariam Asargew Mihretie ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Enyew Adgo ◽  
Mitsuru Tsubo ◽  
...  

Agronomy ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 609 ◽  
Author(s):  
Qaswar ◽  
Jing ◽  
Ahmed ◽  
Shujun ◽  
Dongchu ◽  
...  

A long-term field experiment was carried out (since 2008) for evaluating the effects of different substitution rates of inorganic nitrogen (N) fertilizer by green manure (GM) on yield stability and N balance under double rice cropping system. Treatments included, (1) N0 (no N fertilizer and no green manure); (2) N100 (recommended rate of N fertilizer and no green manure); (3) N100-M (recommended rate of N fertilizer and green manure); (4) N80-M (80% of recommended N fertilizer and green manure); (5) N60-M (60% of recommended N fertilizer and green manure); and (6) M (green manure without N fertilization). Results showed that, among all treatments, annual crop yield under N80-M treatment was highest. Crop yield did not show significant differences between N100-M and N80-M treatments. Substitution of different N fertilizer rates by GM reduced the yield variability index. Compared to the N0 treatment, yield variability index of early rice under N100-M, N80-M, and N60-M treatments was decreased by 11%, 26%, and 36%, respectively. Compared to the N0 treatment, yield variability index of late rice was decreased by 12%, 38%, 49%, 47%, and 24% under the N100, N100-M, N80-M, N60-M, and M treatments, respectively. During period of 2009–2013 and 2014–2018, nitrogen recovery efficiency (NRE) was highest under N80-M treatment and N balance was highest under N100 treatment. NRE of all treatments with GM was increased over the time from 2009–2013 to 2014–2018. All treatments with GM showed increasing trend of SOC over the years. Substitution of N fertilizer by GM also increased C inputs and soil C:N ratio compared to the N100 and N0 treatments. Boosted regression model indicated that C input, N uptake and AN were most influencing factors of crop yield. Thus, we concluded that N fertilization rates should be reduced by 20% under GM rotation to attain high yield stability of double rice cropping system through increasing NRE and C inputs.


2014 ◽  
Vol 9 (11) ◽  
pp. 114011 ◽  
Author(s):  
Tamara Ben-Ari ◽  
David Makowski
Keyword(s):  

2003 ◽  
Vol 78 (3) ◽  
pp. 425-434 ◽  
Author(s):  
T. Górski ◽  
K. Górska
Keyword(s):  

2019 ◽  
Author(s):  
Matias Heino ◽  
Joseph H. A. Guillaume ◽  
Christoph Müller ◽  
Toshichika Iizumi ◽  
Matti Kummu

Abstract. Climate oscillations are periodically fluctuating oceanic and atmospheric phenomena, which are related to variations in weather patterns and crop yields worldwide. In terms of crop production, the most widespread impacts have been observed for the El Niño Southern Oscillation (ENSO), which has been found to impact crop yields in all continents that produce crops, while two other climate oscillations – the Indian Ocean Dipole (IOD) and the North Atlantic Oscillation (NAO) – have been shown to impact crop production especially in Australia and Europe, respectively. In this study, we analyse the impacts of ENSO, IOD and NAO on the growing conditions of maize, rice, soybean and wheat at the global scale, by utilizing crop yield data from an ensemble of global gridded crop models simulated for a range of crop management scenarios. Our results show that simulated crop yield variability is correlated to climate oscillations to a wide extent (up to almost half of all maize and wheat harvested areas for ENSO) and in several important crop producing areas, e.g. in North America (ENSO, wheat), Australia (IOD & ENSO, wheat) and northern South America (ENSO, soybean). Further, our analyses show that higher sensitivity to these oscillations can be observed for rainfed, and fully fertilized scenarios, while the sensitivity tends to be lower if crops are fully irrigated. Since, the development of ENSO, IOD and NAO can be reliably forecasted in advance, a better understanding about the relationship between crop production and these climate oscillations can improve the resilience of the global food system to climate related shocks.


Author(s):  
S. Logsdon ◽  
J. Pruger ◽  
D. Meek ◽  
T. Colvin ◽  
D. James ◽  
...  
Keyword(s):  

2017 ◽  
Vol 109 (4) ◽  
pp. 1210-1217 ◽  
Author(s):  
Sam E. Wortman ◽  
Ashley A. Holmes ◽  
Elizabeth Miernicki ◽  
Kaelyn Knoche ◽  
Cameron M. Pittelkow

2017 ◽  
Vol 5 (6) ◽  
pp. 605-616 ◽  
Author(s):  
Katja Frieler ◽  
Bernhard Schauberger ◽  
Almut Arneth ◽  
Juraj Balkovič ◽  
James Chryssanthacopoulos ◽  
...  
Keyword(s):  

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