4,606 research outputs found
PROFIT CONSISTENCY AND MANAGEMENT CHARACTERISTICS FOR SUCCESSFUL NORTH DAKOTA FARMS, 1995-2000
Farm profitability varies widely among producers, but the reasons for those differences are not clear as it is generally not known if the same farms are in the higher profit categories every year. Characteristics of the individual producer also vary substantially. Farm size, crop yields, cost of production, debt structure, and land ownership are some of the traits which differ among farms. This study analyzed farm finance data from the North Dakota Farm and Ranch Business Management Program over the years 1996-2000 to determine if the characteristics of profitable farms were different from the characteristics of farms which were not as profitable. A secondary objective was to evaluate if farms remained in similar profit quartiles every year.North Dakota Farm and Ranch Business Management Program, farm characteristics, return on assets, costs, land ownership, debt structure, Farm Management,
2004 NORTH DAKOTA AGRICULTURAL OUTLOOK: REPRESENTATIVE FARMS, 2004-2013
Net farm income for all representative farms in 2013 will be lower than in 2004. Low-profit farms, which comprise 25% of the farms in the study, may not have financial resiliency to survive without off-farm income. Costs are projected to increase faster than yields, which will pressure net farm income downward. Cropland prices and cash rental rates are projected to increase slightly in all regions. Debt-to-asset ratios for most farms will increase slightly throughout the forecast period. Debt-to-asset ratios for the low-profit and small-size farms are higher than those for large and high-profit farms.net farm income, debt-to-asset ratios, cropland prices, land rental rates, farm operating expenses, capitalization rate, Farm Management,
2010 North Dakota Agricultural Outlook: Representative Farms, 2010-2019
Net farm income for most representative farms in 2019 is projected to be lower than in 2009. Low-profit farms, which comprise 20% of the farms in the study, may not have financial resiliency to survive without off-farm income. Commodity prices are expected to increase slowly from current levels. Commodity yields are projected to increase at historical trend-line rates and production expenses are expected to return to normal growth rates. Debt-to-asset ratios for all farms except for the low profit farm will decrease slightly throughout the forecast period. Debt-to-asset ratios for the low-profit farms are expected to increase to about 0.70.net farm income, debt-to-asset ratios, cropland prices, land rental rates, farm operating expenses, capitalization rate, risk., Agribusiness,
2002 NORTH DAKOTA AGRICULTURAL OUTLOOK: REPRESENTATIVE FARMS, 2002-2011
Net farm income for most representative farms in 2011 will be lower than in 2002. Low profit farms, which consist of 25% of the farms in the study, may not have financial resiliency to survive. The new farm bill will provide higher net farm income than a continuation of the FAIR Act. Cropland prices and cash rental rates are projected to increase slightly in all regions. Debt-to-asset ratios for most farms will increase slightly throughout the forecast period. Debt-to-asset ratios for the low-profit and small-size farms are higher than those for large and high-profit farms.net farm income, debt-to-asset ratios, cropland prices, land rental rates, farm operating expenses, capitalization rate, Farm Management,
2009 North Dakota Agricultural Outlook: Representative Farms, 2009-2018
Net farm income for all representative farms in 2018 is projected to be lower than in 2008. Low-profit farms, which comprise 20% of the farms in the study, may not have financial resiliency to survive without off-farm income. Commodity prices are expected to fall from current levels however the final level is unknown. Commodity yields are projected to increase at historical trend-line rates and production expenses are expected to return to normal growth rates after 2009. Debt-to-asset ratios for all farms except for the low profit farm will decrease slightly throughout the forecast period. Debt-to-asset ratios for the low-profit farms are expected to increase to about 0.50.net farm income, debt-to-asset ratios, cropland prices, land rental rates, farm operating expenses, capitalization rate, risk iv, Agricultural Finance, Farm Management, Financial Economics, Land Economics/Use,
AN ANALYSIS OF 1999 GROSS RETURNS FOR SMALL GRAINS IN NORTH DAKOTA
North Dakota gross returns from HRS wheat, durum wheat, and barley declined in 1999, relative to the expected gross returns, due to adverse weather conditions and low prices. The total gross return reductions in 1999 was estimated to be 51 million from weather and disease and $329 million from lower-than-average prices. Gross return reductions were largest in Region 1 (Northwest), followed by Regions 3 (Northeast) and 6 (East Central). HRS wheat accounted for the largest income loss, followed by durum and barley. However, total net farm income increased in 1999 relative to 1998, because of government payments and crop insurance.net farm income, crop losses, weather conditions, Agricultural Finance,
2007 North Dakota Agricultural Outlook: Representative Farms, 2007-2016
Net farm income for nearly all representative farms in 2016 is projected to be higher than in 2006. Low-profit farms, which comprise 20% of the farms in the study, may not have financial resiliency to survive without off-farm income. Commodity prices and yields are projected to increase slightly faster than costs, which will increase net farm income. Cropland prices and cash rental rates are projected to increase slightly in all regions. Debt-to-asset ratios for all farms will decrease slightly throughout the forecast period. Debt-to-asset ratios for the low-profit farms are expected to remain near the 0.50 level.Net farm income, Debt-to-asset ratios, Cropland prices, Land rental rates, Farm operating expenses, Capitalization rate, Risk, Agribusiness, Farm Management, Land Economics/Use,
2009 North Dakota Agricultural Outlook: Representative Farms, 2009-2018
Net farm income for all representative farms in 2018 is projected to be lower than in 2008. Low-profit farms, which comprise 20% of the farms in the study, may not have financial resiliency to survive without off-farm income. Commodity prices are expected to fall from current levels however the final level is unknown. Commodity yields are projected to increase at historical trend-line rates and production expenses are expected to return to normal growth rates after 2009. Debt-to-asset ratios for all farms except for the low profit farm will decrease slightly throughout the forecast period. Debt-to-asset ratios for the low-profit farms are expected to increase to about 0.50.net farm income, debt-to-asset ratios, cropland prices, land rental rates, farm operating expenses, capitalization rate, risk, Agribusiness,
Recommended from our members
Basal rot of narcissus : understanding pathogenicity in fusarium oxysporum f. sp. narcissi
Fusarium oxysporum is a globally distributed soilborne fungal pathogen causing root rots, bulb rots, crown rots and vascular wilts on a range of horticultural plants. Pathogenic F. oxysporum isolates are highly host specific and are classified as formae speciales. Narcissus is an important ornamental crop and both the quality and yield of flowers and bulbs can be severely affected by a basal rot caused by F. oxysporum f. sp. narcissi (FON); 154 Fusarium isolates were obtained from different locations and Narcissus cultivars in the United Kingdom, representing a valuable resource. A subset of 30 F. oxysporum isolates were all found to be pathogenic and were therefore identified as FON. Molecular characterisation of isolates through sequencing of three housekeeping genes, suggested a monophyletic origin with little divergence. PCR detection of 14 Secreted in Xylem (SIX) genes, previously shown to be associated with pathogenicity in other F. oxysporum f. spp., revealed different complements of SIX7, SIX9, SIX10, SIX12 and SIX13 within FON isolates which may suggest a race structure. SIX gene sequences were unique to FON and SIX10 was present in all isolates, allowing for molecular identification of FON for the first time. The genome of a highly pathogenic isolate was sequenced and lineage specific (LS) regions identified which harboured putative effectors including the SIX genes. Real-time RT-PCR, showed that SIX genes and selected putative effectors were expressed in planta with many significantly upregulated during infection. This is the first study to characterise molecular variation in FON and provide an analysis of the FON genome. Identification of expressed genes potentially associated with virulence provides the basis for future functional studies and new targets for molecular diagnostics
Recommended from our members
Development and Flight Results from the C3D2 Imager Payload on AlSat Nano
An experimental CubeSat camera system using 3 separate CMOS imagers was flown in 2014 on UKube-1. In response to an announcement opportunity in December 2014, we proposed an upgrade to our C3D imager payload, which was accepted to fly on AlSat Nano. Launched in September 2016 the system has been operational for over 1 year and has returned both images and housekeeping data, including detailed temperature and radiation dosimetry measurements. Through these in-orbit demonstrations on CubeSans, the image sensors and payload have attained TRL9, and these are now being used in other flight opportunities. In this paper we describe the C3D imager payload, which comprises 3 independent CMOS image sensors used in different camera systems; two wide field cameras are specifically optimised with one to observe the Earth from the 650 km orbit, and the other with its focus set to 40 cm to observe a deployable boom from the CubeSat. The experiment controller also contained thermometry and two RADFET dosimeters, one located on the payload, with the other deployed at a different point on the spacecraft.
In this paper we will describe the experiment design and operational performance, and review the in-orbit data obtained during the operations covering over 17 months in-orbit, in addition to discussing lessons learned from the flight experience. We also discuss further developments of the payload concept which we are currently working on toward future flight opportunities
- …