Runoff Characteristics from Row Crop Farming in Florida

2003 ◽  
Author(s):  
Betty Rushton
Keyword(s):  
Row Crop ◽  
Crop Farming

scholarly journals Responses of Eastern Cottontails to Intensive Row-Crop Farming

1999 ◽  
Vol 80 (3) ◽  
pp. 940-949 ◽  
Author(s):  
P. C. Mankin ◽  
R. E. Warner
Keyword(s):  
Row Crop ◽  
Crop Farming

scholarly journals Junglerice (Echinochloa colona) Control with Sequential Applications of Glyphosate and Clethodim to Dicamba

2021 ◽  
pp. 1-18
Author(s):  
Clay M. Perkins ◽  
Thomas C. Mueller ◽  
Lawrence E. Steckel
Keyword(s):  
Glyphosate Resistance ◽  
Time Of Application ◽  
Crop Fields ◽  
Row Crop ◽  
Excellent Control ◽  
Sequential Treatments

Abstract Junglerice is becoming more prevalent in Tennessee, Arkansas and Mississippi row crop fields. The evolution of glyphosate-resistant junglerice populations is one reason for the increase. Another possible explanation is that glyphosate and clethodim grass activity is being antagonized by dicamba. This question has led to research to examine if sequential applications alleviate antagonism observed with dicamba plus glyphosate and/or clethodim mixtures and determine if 24 h, 72 h or 168 h sequential treatments of those herbicides can improve junglerice control. Glyphosate + clethodim applications provided >90% junglerice control. The observed levels of antagonism varied by whether the location of the test was in the greenhouse or the field and the timing of applications. In the greenhouse, clethodim + dicamba provided excellent control while in the field the same treatment showed over a 30% reduction in junglerice control compared with clethodim alone. However, control was restored by using a mixture of glyphosate + clethodim without dicamba. The environment at the time of application and relative glyphosate-resistance (GR) level of the junglerice influenced the overall control of these sequential applications. Clethodim applied first followed by dicamba at 72 or 168 h, better control was observed compared with applying dicamba followed by clethodim. Overall, mixing glyphosate + clethodim provided the most complete junglerice control regardless of timing. These data confirm that leaving dicamba out of the spray tank will mitigate herbicide antagonism on junglerice control. These data would also indicate that avoiding dicamba and glyphosate mixtures will also improve the consistency of control with glyphosate-susceptible junglerice.

scholarly journals Assessing the Retention Potential of Conservation Reserve Program Practices in Alabama

1999 ◽  
Vol 23 (2) ◽  
pp. 83-87 ◽  
Author(s):  
Okwudili O. Onianwa ◽  
Gerald C. Wheelock ◽  
Mark R. Dubois ◽  
Sarah T. Warren
Keyword(s):  
Soil Loss ◽  
Crop Production ◽  
Conservation Reserve Program ◽  
Production Capacity ◽  
Tree Planting ◽  
Conservation Practice ◽  
Row Crop ◽  
Excess Production ◽  
Intended Use

Abstract Conservation reserve program (CRP) participants in Alabama were surveyed to determine the probable utilization of CRP acres should the contracts expire without opportunity for renewal. From over 9000 contracts established between 1986 and 1995, 594 contracts were randomly selected and surveyed for the study. Two hundred and fourteen surveys were completed and returned. Of these, 204 (34%) were usable. Results indicate that 90% of CRP tree acres would be retained in trees while nearly 60% of CRP grass acres would be converted to row crop production. In addition, there are no significant differences in the response between the minority and white participants with regard to the intended use of CRP acres. Therefore, for sustained mitigation of soil loss and reduction of excess production capacity, tree planting as a conservation practice choice should be advocated and encouraged. South. J. Appl. For. 23(2):83-87.

Modeling nitrate leaching with a biogeochemical model modified based on observations in a row-crop field in Iowa

2006 ◽  
Vol 196 (1-2) ◽  
pp. 116-130 ◽  
Author(s):  
Changsheng Li ◽  
Neda Farahbakhshazad ◽  
Dan B. Jaynes ◽  
Dana L. Dinnes ◽  
William Salas ◽  
...  
Keyword(s):  
Nitrate Leaching ◽  
Biogeochemical Model ◽  
Row Crop ◽  
Crop Field

Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raheem Olatunji Aminu ◽  
Wei Si ◽  
Shakirat Bolatito Ibrahim ◽  
Aisha Olushola Arowolo ◽  
Adefunke Fadilat O. Ayinde
Keyword(s):  
Demographic Factors ◽  
Multidimensional Poverty ◽  
Household Size ◽  
Living Standard ◽  
Average Intensity ◽  
Content Type ◽  
Crop Farming ◽  
Arable Crop ◽  
The Impact ◽  
Farming Households

PurposeThis paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.Design/methodology/approachData were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.FindingsThe result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.Originality/valueThe study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

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