Diversity and Evolution of Rainfed Farming Systems in Southern Australia

This research aims to identify factors correlated significantly to the motivation of farmers in perseving traditional rainfed farming systems, such as using local seeds and planting once a year. The population of this study is farmer who still perform the traditional paddy farming system in the Village of North Tapanuli Parbaju Julu County North Sumatra Province. As much as 48 respondents randomly selected from 160 farmers. A descriptive analyse and Spearman rank correlation are applied in this study. The study showed that formal education, farmers' perception of the traditional system of rice farming are correlated significantly to farmer motivation in preserving tradional farming system while non-formal education, the traditional system of farming experience, farm size, number of family members are not. Factors that correlated significantly to farmer motivation in maintaining local seed is non-formal education, farming experience, while the traditional system of formal education, farmers' perception of traditional rice farming system, farm size, number of family members are not correlated significantly. Furthermore, the number of family members is merely factor that correlated significantly to the farmers motivation in maintaining once a year plantings while others factors are not correlated. Key words: farmer motivation, preserving, traditional farming

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A Systems Approach to Climate Risk in Rainfed Farming Systems

Rainfed Farming Systems ◽

10.1007/978-1-4020-9132-2_3 ◽

2011 ◽

pp. 75-100 ◽

Cited By ~ 1

Author(s):

Peter Hayman ◽

Jason Crean ◽

Canesio Predo

Keyword(s):

Systems Approach ◽

Farming Systems ◽

Climate Risk ◽

Rainfed Farming

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Technological Change in Rainfed Farming Systems

Rainfed Farming Systems ◽

10.1007/978-1-4020-9132-2_7 ◽

2011 ◽

pp. 185-214

Author(s):

Colin Birch ◽

Ian Cooper

Keyword(s):

Technological Change ◽

Farming Systems ◽

Rainfed Farming

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Rainfed Farming Systems in South Africa

Rainfed Farming Systems ◽

10.1007/978-1-4020-9132-2_16 ◽

2011 ◽

pp. 395-432 ◽

Cited By ~ 3

Author(s):

Mark Hardy ◽

Luthando Dziba ◽

Willem Kilian ◽

John Tolmay

Keyword(s):

South Africa ◽

Farming Systems ◽

Rainfed Farming

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Fatalism, Climate Resiliency Training and Farmers’ Adaptation Responses: Implications for Sustainable Rainfed-Wheat Production in Pakistan

Sustainability ◽

10.3390/su12041650 ◽

2020 ◽

Vol 12 (4) ◽

pp. 1650 ◽

Cited By ~ 7

Author(s):

Nasir Mahmood ◽

Muhammad Arshad ◽

Harald Kaechele ◽

Muhammad Faisal Shahzad ◽

Ayat Ullah ◽

...

Keyword(s):

Climate Change ◽

Logit Model ◽

Agricultural Sector ◽

Market Access ◽

Farming Systems ◽

Multinomial Logit Model ◽

Adaptation Measures ◽

Extension Services ◽

Rainfed Farming ◽

Rainfed Wheat

Climate change is a severe threat to the agricultural sector in general and to rainfed farming in particular. The aim of this study was to investigate the factors that can potentially affect the adaptation process against climate change. This study focused on wheat farmers and farming systems in the rainfed agroecological zone of Pakistan. Farmers’ data related to climate change fatalism, the availability of climate-specific extension services, socioeconomic and institutional variables, and farm characteristics were collected. A logit model to assess farmers’ decisions to adopt an adaptation measure and a multinomial logit model to assess their choice of various adaptation measures were used. The results showed that fatalistic farmers were unlikely to implement climate change adaptation measures. The variables related to the climate-specific extension services, including farmers’ participation in training on climate-resilient crop farming and the availability of mobile communication-based advisory services, had highly significant and positive impacts on farmers’ decisions and their choice of adaptation measures. Input market access and tractor ownership also had positive and significant impacts on farmers’ decisions to adapt and their choice of adaptation measures. This study highlights the need to improve rainfed-wheat farmers’ education levels to change their fatalistic attitudes towards climate change. Furthermore, government action is needed to provide climate-specific extension services to ensure sustainable production levels that will ultimately lead to food and livelihood security under a changing climate.

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Effect of plant arrangement pattern and irrigation on efficiency of maize (Zea mays) and bean (Phaseolus vulgaris) intercropping system

The Journal of Agricultural Science ◽

10.1017/s0021859699008321 ◽

2000 ◽

Vol 135 (3) ◽

pp. 261-270 ◽

Cited By ~ 10

Author(s):

S. OLJACA ◽

R. CVETKOVIC ◽

D. KOVACEVIC ◽

G. VASIC ◽

N. MOMIROVIC

Keyword(s):

Grain Yield ◽

Yield Components ◽

Water Regime ◽

Farming Systems ◽

Spatial Arrangement ◽

Positive Influence ◽

Yield Component ◽

Rainfed Farming ◽

Plant Arrangement ◽

Maize Research Institute

A field study was conducted on an experimental field of the Maize Research Institute Zemun Polje- Belgrade (latitude: 44° 49′ N), Yugoslavia over a 3 year period (1994–1996). The objective of this study was to find the optimal spatial arrangement of a maize–beans intercrop in irrigated and rainfed farming systems.Plant arrangement patterns in an intercropping system did not significantly affect LAI values in maize compared with a sole crop, while irrigation had a greater positive influence on it. Leaf area values of beans were more sensitive to the same treatments. Microenvironmental conditions in maize–bean mixtures were more favourable for bean crop than for sole beans.An intercropping system had a greater influence on yield components of maize. Component combination 1/2[ratio ]1/2 (maize[ratio ]bean) was most effective in all yield components of maize. Intraspecific competition appears to be more intense than interspecific competition in both crops. Yield component of bean was more sensitive to water regime of the site than to planting pattern in an intercrop. Irrigation increased all yield components of bean (especially pod number). The intercropping system decreased harvest index in both crops compared with monocrops. Maximum total grain yield was in 1994 in irrigated maize–bean intercrop 1/2[ratio ]1/2, with highest efficiency being in an intercrop in irrigation in 1995. The Land Equivalent Ratio (LER), based on grain yield, was consistently greater than 1·0 in an irrigation water regime in 1995. Proportion of maize[ratio ]bean = 1/2[ratio ]1/2 gave the highest increase of yield (LER = 1·54). Under conditions of chernozem soil type in Zemun Polje, with often-expressed dry periods, irrigation is a very important measure for increasing maize–beans intercrop productivity.

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