Pesticidal Plants for Stored Product Pests on Small-holder Farms in Africa

2014 ◽  
pp. 149-172 ◽  
Author(s):  
Philip C. Stevenson ◽  
Sarah E. J. Arnold ◽  
Steven R. Belmain
2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 79-80
Author(s):  
Chinyere Ekine ◽  
Raphael Mrode ◽  
Edwin Oyieng ◽  
Daniel Komwihangilo ◽  
Gilbert Msuta ◽  
...  

Abstract Modelling the growth curve of animals provides information on growth characteristics and is important for optimizing management in different livestock systems. This study evaluated the growth curves of crossbred calves from birth to 30 months of age in small holder dairy farms in Tanzania using a two parameter (exponential), four different three parameters (Logistic, von Bertalanffy, Brody, Gompertz), and three polynomial functions. Predicted weights based on heart girth measurements of 623 male and 846 female calves born between 2016 and 2019 used in this study were from the African Dairy Genetic Gains (ADGG) project in selected milk sheds in Tanzania, namely Tanga, Kilimanjaro, Arusha, Iringa, Njomba and Mbeya. Each function was fitted separately to weight measurement of males and females adjusted for the effect of ward and season of birth using the nonlinear least squares (nls) functions in R statistical software. The Akaike’s information criterion (AIC) and Bayesian information criterion (BIC) were used for model comparison. Based on these criteria, all three polynomial and four parameter functions performed better and did not differ enough from each other in both males and females compared to the two-parameter exponential model. Predicted weight varied among the models and differed between males and females. The highest estimated weight was observed in the Brody model for both males (278.09 kg) and females (264.10 kg). Lowest estimated weight was observed in the exponential model. Estimated growth rate varied among models. For males, it ranged from 0.04 kg-0.08 kg and for females, from 0.05 kg-0.09 kg in the Brody model and logistic model respectively. Predictive ability across all fitted curves was low, ranging from 25% to approximately 29%. This could be due to the huge range of breed compositions in the evaluated crossbred calves which characterizes small holder dairy farms in this system and different levels of farm management.


1977 ◽  
Vol 10 (14) ◽  
pp. 545-557
Author(s):  
G. Muchiri ◽  
M.M. Shah ◽  
J.B. Holtman

2005 ◽  
Vol 25 (4) ◽  
pp. 69-92 ◽  
Author(s):  
J. O. Fening ◽  
T. Adjei-Gyapong ◽  
E. Yeboah ◽  
E. O. Ampontuah ◽  
G. Quansah ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0174554 ◽  
Author(s):  
Lourens H. Swanepoel ◽  
Corrie M. Swanepoel ◽  
Peter R. Brown ◽  
Seth J. Eiseb ◽  
Steven M. Goodman ◽  
...  

2021 ◽  
Vol 3 (1) ◽  
pp. 110-117
Author(s):  
Pius Kipchumba Cheboi ◽  
Shahida Anusha Siddiqui ◽  
Japheth Onyando ◽  
Clement Kiprotich Kiptum ◽  
Volker Heinz

The objective of this study was to determine the effect of paddy rice ploughing techniques on water use and the yield of rice crop, as well as water use efficiency for rice growing in small-holder irrigation schemes. The study was conducted at a farmer’s field in Powo B sub-block of Maugo Irrigation Scheme. The period of study was from July 2019 to January 2020, which is the rice season. The experimental site was located in the vicinity of Olare Shopping Centre, Kamenya Sub-location, Kochia East Location, Kochia Ward, Rangwe Sub-County, Homa Bay County, Nyanza Region, Kenya in Maugo rice scheme in Kenya. In the study, four irrigation tillage practices were applied: ox-plough, conventional ox-plough, hand hoe and tractor ploughing. The results showed that conventional ox-ploughing consumed the highest amount of water at 1240 mm. The highest water use efficiency of 0.49 kg/m3 and highest yield of 5.7 tons/ha were observed for hand hoe ploughing. Use of the hand hoe ploughing technique increased yields by 20 percent, as compared to the conventional ox-ploughing. Therefore, the use of water for ploughing is not necessary in the study area. Future research will be needed to see how farmers are adopting the technology before scaling up to full mechanization, as partial mechanization was not profitable.


2018 ◽  
Vol 12 (1) ◽  
pp. 88-112 ◽  
Author(s):  
Sagarika Dey

This article combines two relatively nascent and inter-related approaches to poverty analysis and measurement, that is, the asset-based approach and the vulnerability approach to assess the poverty status of various land-owning classes in rural India. Contingent on the finding that marginal and small-holder households constitute a high-risk group in terms of the incidence of current poverty and vulnerability to future poverty, the study explores the role of non-agricultural activity in providing livelihood security and tackling poverty and vulnerability among land-poor rural households. The findings reveal that while most types of rural non-farm employment have significant poverty-reducing effects, human capital constitutes the most potent element in tackling poverty in the target group. We therefore suggest that an emphasis on skill upgradation of marginal and small landholders, coupled with policies directed towards development of non-farm activity, could provide an effective, permanent solution for curbing poverty and mitigating livelihood risks among these households. JEL Classification: I31, I32, J21, O18


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