The role of N nutrition on lowland rice yields along an agroecological gradient in West Africa

2001 ◽  
pp. 970-971 ◽  
Author(s):  
M. Becker ◽  
M. C. S. Wopereis ◽  
D. E. Johnson
2021 ◽  
Vol 18 ◽  
pp. 671-678
Author(s):  
Rustam Abdul Rauf ◽  
Muhammad Dwi Saputra

Women farmers could contribute to reducing poverty in rural areas; for example, empowering women farmers could improve their ability to produce lowland rice. This study aimed to analyze the socioeconomic factors that affected the role of women farmers in the production of lowland rice; also, to analyze the effect and the role of women farmers on lowland rice yields. Data collection included a questionnaire and involved 168 respondents, who were taken by the census. Data analysis used multiple and logit regression of Cobb-Douglas models. The results showed that education and farming income had a positive and significant effect on the role of women farmers in lowland rice production. The yield of lowland rice was affected by land area, urea fertilizer, SP-36 fertilizer, labor, and the role of women farmers.


2021 ◽  
Vol 18 ◽  
pp. 671-678
Author(s):  
Rustam Abdul Rauf ◽  
Muhammad Dwi Saputra

Women farmers could contribute to reducing poverty in rural areas; for example, empowering women farmers could improve their ability to produce lowland rice. This study aimed to analyze the socioeconomic factors that affected the role of women farmers in the production of lowland rice; also, to analyze the effect and the role of women farmers on lowland rice yields. Data collection included a questionnaire and involved 168 respondents, who were taken by the census. Data analysis used multiple and logit regression of Cobb-Douglas models. The results showed that education and farming income had a positive and significant effect on the role of women farmers in lowland rice production. The yield of lowland rice was affected by land area, urea fertilizer, SP-36 fertilizer, labor, and the role of women farmers.


2017 ◽  
Vol 15 (S1) ◽  
Author(s):  
Issiaka Sombie ◽  
Aissa Bouwayé ◽  
Yves Mongbo ◽  
Namoudou Keita ◽  
Virgil Lokossou ◽  
...  

2016 ◽  
Vol 17 (5) ◽  
pp. 1489-1516 ◽  
Author(s):  
Joel Arnault ◽  
Sven Wagner ◽  
Thomas Rummler ◽  
Benjamin Fersch ◽  
Jan Bliefernicht ◽  
...  

Abstract The analysis of land–atmosphere feedbacks requires detailed representation of land processes in atmospheric models. The focus here is on runoff–infiltration partitioning and resolved overland flow. In the standard version of WRF, runoff–infiltration partitioning is described as a purely vertical process. In WRF-Hydro, runoff is enhanced with lateral water flows. The study region is the Sissili catchment (12 800 km2) in West Africa, and the study period is from March 2003 to February 2004. The WRF setup here includes an outer and inner domain at 10- and 2-km resolution covering the West Africa and Sissili regions, respectively. In this WRF-Hydro setup, the inner domain is coupled with a subgrid at 500-m resolution to compute overland and river flow. Model results are compared with TRMM precipitation, model tree ensemble (MTE) evapotranspiration, Climate Change Initiative (CCI) soil moisture, CRU temperature, and streamflow observation. The role of runoff–infiltration partitioning and resolved overland flow on land–atmosphere feedbacks is addressed with a sensitivity analysis of WRF results to the runoff–infiltration partitioning parameter and a comparison between WRF and WRF-Hydro results, respectively. In the outer domain, precipitation is sensitive to runoff–infiltration partitioning at the scale of the Sissili area (~100 × 100 km2), but not of area A (500 × 2500 km2). In the inner domain, where precipitation patterns are mainly prescribed by lateral boundary conditions, sensitivity is small, but additionally resolved overland flow here clearly increases infiltration and evapotranspiration at the beginning of the wet season when soils are still dry. The WRF-Hydro setup presented here shows potential for joint atmospheric and terrestrial water balance studies and reproduces observed daily discharge with a Nash–Sutcliffe model efficiency coefficient of 0.43.


2016 ◽  
Vol 3 (8) ◽  
pp. 160294 ◽  
Author(s):  
Andrew M. Kramer ◽  
J. Tomlin Pulliam ◽  
Laura W. Alexander ◽  
Andrew W. Park ◽  
Pejman Rohani ◽  
...  

Controlling Ebola outbreaks and planning an effective response to future emerging diseases are enhanced by understanding the role of geography in transmission. Here we show how epidemic expansion may be predicted by evaluating the relative probability of alternative epidemic paths. We compared multiple candidate models to characterize the spatial network over which the 2013–2015 West Africa epidemic of Ebola virus spread and estimate the effects of geographical covariates on transmission during peak spread. The best model was a generalized gravity model where the probability of transmission between locations depended on distance, population density and international border closures between Guinea, Liberia and Sierra Leone and neighbouring countries. This model out-performed alternative models based on diffusive spread, the force of infection, mobility estimated from cell phone records and other hypothesized patterns of spread. These findings highlight the importance of integrated geography to epidemic expansion and may contribute to identifying both the most vulnerable unaffected areas and locations of maximum intervention value.


2014 ◽  
Vol 7 (1) ◽  
pp. 23456 ◽  
Author(s):  
Juan Burgos-Soto ◽  
Joanna Orne-Gliemann ◽  
Gaëlle Encrenaz ◽  
Akouda Patassi ◽  
Aurore Woronowski ◽  
...  

Author(s):  
Hartina Batoa ◽  
Salahuddin Salahuddin ◽  
Awaluddin Hamzah ◽  
Rahayu Endah Purwanti ◽  
Andi Dheviani Oksaputri Iskandar

This study aims to determine the relationship between the role of farmer groups and the social status of lowland rice farmers in Cialam Jaya Village, Konda Sub District, South Konawe District. This research was conducted in Cialam Jaya Village in September-December 2019. The determination of the research area was carried out purposively with the consideration that Cialam Jaya Village is one of the centres for lowland rice production and has farmer groups. Simple random sampling (simple random sampling) takes 10% or as many as 26 respondents of rice farmers. The data analysis used was the Spearman Rank Correlation analysis. The results showed that the role of the group was significantly related to the socioeconomic status of lowland rice farmers, with a significance value of 0.019.


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