Upgrading a Conventional Row Crop Planter to a Direct Seeding Machine for Planting of Corn in Conservation Farming System

2012 ◽  
Author(s):  
Mohammad Hossein Raoufat ◽  
Jalil Nejadi
2010 ◽  
Vol 18 (6) ◽  
pp. 1151-1156 ◽  
Author(s):  
Jian-Kai SHEN ◽  
Huang HUANG ◽  
Zhi-Qiang FU ◽  
Yang-Zhu ZHANG ◽  
Pan LONG ◽  
...  

2018 ◽  
Vol 7 (4) ◽  
pp. 42
Author(s):  
Simunji Simunji ◽  
Kalaluka L. Munyinda ◽  
Obed I. Lungu ◽  
Alice M. Mweetwa ◽  
Elijah Phiri

In Zambia, small holder farmers depend on producing maize (Zea mays), which is a major staple food for many Zambians. Maize productivity among the smallholder farmers is quite low, giving only 2.3 tons per hectare. The low yields are attributed to insufficient and erratic rain fall, low soil fertility, and poor farming practices. Therefore, the objective of this study was to evaluate the performance of maize genotypes for nitrogen use efficiency and soil moisture utilisation under conservation farming system. The trials were carried out at two sites with different soil types. Three maize varieties i.e. ZMS 606, GV 640 and GV 635 were evaluated in maize – cowpea rotation. Four cowpea varieties used for rotation with maize, i.e. Bubebe Lutembwe, BB 14-16-2-2 and LT 11-3-3-12. BB 14-16-2-2 and LT 11-3-3-12 are mutation-derived lines of Bubebe and Lutembwe cowpea parent varieties respectively. The experimental design used was split plot with three replications. The NUE was significantly (P< 0.05) higher in CF and accounted for 27 % and 15% more than conventional farming system which valued 17% and 3% at Chisamba and Batoka, respectively. while soil moisture content was higher at Batoka than Chisamba in CF system. ZMS 606 and GV 640 varieties were superior over GV 635 for NUE. Cowpea variety BB 14-16-2-2 significantly increased NUE of maize varieties. Therefore, smallholder farmers in Zambia can increase maize productivity in maize - cowpea rotation system due to the increased NUE. Recommendations are made for farmers to select improved nitrogen efficient maize varieties to optimize productivity of maize in conservation farming system.


2016 ◽  
Vol 15 (1-2) ◽  
pp. 67
Author(s):  
Achmad Suryana ◽  
Ketut Kariyasa

The objective of the assessment on Rice Based Agribusiness Oriented Farming System (Sutpa) conducted in rainy season (MB) 1995/96 is to find an agribusiness development model that is capable to increase fanning efficiency and commodity's competitive advantage. The Sutpa assessment implementation main characteristics are: (1) to introduce new engineered technology packeges to enhance productivity and production efficiency; (2) to applicate technology with an economic scale; (3) to implement tight field supervision by interdicsipline team consisting of research and extension workers; (4) to applicate participatory approaches in encouraging involved farmers to play their active roles; and (5) to enhance coordination with related official and local key persons to maintain the implementation harmony beginning from its planning, implementation and evaluation. In 1995/96, Sutpa assessment implementation was concentrated in 14 provinces with an area of 46.000 Ha (92 assessment plot unit), and in the following two years it was widened in 18 and 19 provinces. Some assessment results show that rice farming using direct seeding system developed in Sutpa assessment could reduce labor utilization for 17.01 - 38.56 percent and it was able to increase production and farmer's profit for 40.26 - 43.74 percent and 14.12 - 24.10 percent respectively compared to tilt of transplanting system. The competitive advantage analysis also shows that rice fanning direct seeding system gives a competitive profit compared to that of transplanting system's at 70.23 - 82.14 percent of the existing production level. The Sutpa assessment implementation has been able to escalate new high yielding varieties and direct seeding system adoptions.


2018 ◽  
Vol 6 (3) ◽  
pp. 183
Author(s):  
Naharuddin Naharuddin

The upstream part of Wuno Subwatershed in Palu Watershed experiences massive land use change exploitation, causing erosion impact increasingly. An alternative way for reduce the erosion level is by applying conservation farming system. This research aims to examine the conservation farming system with GIS-based agroforestry pattern and its effects to the erosion level reduction perceived by the community living in the Wuno Subwatershed. The method used is image interpretation and field survey to obtain data directly on an object using GPS.The results show that there are four agroforestry patterns in Wuno subwatershed, that is, trees along border, alternate rows, alley cropping and random mixture. The highest erosion level shown by the alley cropping pattern at 5.17 grams/ha and the lowest is trees along border at 0.47 grams/ha, all compared to the total rainfall level of 493.6 mm. The canopy cover of the agroforestry pattern influences the erosion level occurs.


Author(s):  
Nana Sutrisna ◽  
Olivia Oktorie

The function change of land in upstream areas of subwatershed Cikapundung is very difficult to control. Most of the land has been turned into residential areas and vegetable crops. Land is currently a source of life, so it is exploited to get maximum results and income. If it is not managed properly, the land will be degraded and eventually become critical. In order for the land to be sustainable it needs an environmentally friendly farming farming system for vegetable conservation The results showed that there were two technologies for specific vegetable crop conservation systems in upstream areas of subwatershed Cikapungdung that were environmentally friendly, namely (1) Conservation farming system of bench terrace conservation, beds cutting slopes, using manure + lime, plastic mulch installed, planting system of intercropping/ overlapping rotating vegetables on land with slope of 15-25%. The conservation farming system is able to control erosion from 69.93 to 7.18 t/ha/year or by 89.73% and (2) a farming system for conservation of ridge terraces, beds cutting slopes, using manure + lime, installed plastic mulch, system for planting intercropping/overlapping vegetables on land with a slope of 8-15%. The conservation farming system is able to reduce erosion from 37.41 to 15.27 t/ha / year or 59.18%. The two conservative farming systems above are financially profitable as indicated by the value of BC Ratio> 1, NVP> 0, and IRR> The prevailing Social Discount Rate or Bank interest, which is around 12% indicated by the value of BC Ratio> 1, NVP > 0, and IRR> Current Social Discount Rate or Bank interest, which is around 12%.


Author(s):  
E.N. Turin ◽  
◽  
K.G. Zhenchenko ◽  
A.A. Gongalo ◽  
V.Yu. Ivanov ◽  
...  

The research aimed to study the influence of different tillage-and-planting systems on the soil density of chernozem southern in the central steppe of the Crimea. The soil density is a very important parameter both in the direct seeding and conventional tillage since the no-tillage crop production system is that left soil undisturbed. The stationary experimental site is situated in the village of Klepinino Krasnogvardeyskiy district Republic of Crimea (Department of Field Сrops, FSBSI “Research Institute of Agriculture of Crimea”). This report provides data for 2019. Even though the direct seeding does not include topsoil loosening, the soil density parameters are optimal (1-1.4 g/cm3) in the 0-10-centimeter layer for the development of the roots of the studied crops. In the 10-20 and 20-30 cm layers, the soil in the reporting period is a little over-compacted despite the farming system


2015 ◽  
Vol 20 (1) ◽  
Author(s):  
Željko DOLIJANOVIĆ ◽  
Nebojša MOMIROVIĆ ◽  
Snežana OLJAČA ◽  
Milena SIMIĆ ◽  
Mićo OLJAČA ◽  
...  

Author(s):  
C. Van der Geest

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.


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