scholarly journals Relationship between weedy rice (Oryza sativa) infestation level and agronomic practices in Italian rice farms

Weed Science ◽  
2020 ◽  
pp. 1-10
Author(s):  
Aldo Ferrero ◽  
Silvia Fogliatto ◽  
Andrea Barberi ◽  
Francesco Vidotto
Keyword(s):  
Cluster Analysis ◽  
Logistic Regression ◽  
Oryza Sativa ◽  
Agricultural Practices ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
Weedy Rice ◽  
Infestation Level ◽  
Agronomic Practices ◽  
Using Data

Abstract Weedy rice (Oryza sativa L.) is a troublesome rice (Oryza sativa L.) weed in Italy and in many other rice areas. The objective of this study was to correlate the O. sativa infestation level in northern Italy, the main European rice-growing area, with agricultural practices adopted by farmers by using data obtained from a farmer survey. In 2018 to 2019, a survey was carried out on 98 rice farms chosen to ensure different sizes, different cultivation practices, and variable degrees of O. sativa infestation. The following information was acquired: farm size; area cultivated with Clearfield® varieties; the most-adopted agronomic practices (type of tillage, crop rotation, type of sowing, water management, origin of seeds, adoption of stale seedbed, use of imazamox, presence of O. sativa resistant to imazamox); and level of O. sativa infestation: low (≤5 plants m−2), medium (>5 to 20 plants m−2), and high (>20 plants m−2). The data were analyzed through descriptive statistics and ordinal logistic regression to determine which agronomic practices influenced the level of O. sativa infestation. Farm clustering was also determined through two-step cluster analysis. Rice was cultivated as a monocrop and mainly sown in water, using purchased seeds, in plowed fields. More than half of the farms used the stale seedbed practice, and 63% adopted Clearfield® varieties, while about 45% of the farms reported imazamox-resistant O. sativa. The ordinal logistic regression underlined that use of a stale seedbed was correlated with the infestation level of O. sativa, and the two-step cluster analysis showed that the farms were mainly grouped based on the use of this technique. Most of the farms that used a stale seedbed had higher O. sativa infestation than those that did not use it, meaning that this practice was mainly applied in zones where O. sativa infestations were more serious.

scholarly journals Relationship between weedy rice (Oryza sativa) infestation level and agronomic practices in Italian rice farms – ERRATUM

Weed Science ◽  
2021 ◽  
pp. 1-1
Author(s):  
Aldo Ferrero ◽  
Silvia Fogliatto ◽  
Andrea Barberi ◽  
Francesco Vidotto
Keyword(s):  
Oryza Sativa ◽  
Weedy Rice ◽  
Infestation Level ◽  
Agronomic Practices

scholarly journals Do Socioeconomic Factors Matter in Acreage Owned and Acreage Farmed by Small Livestock Producers in Georgia?

2020 ◽  
Vol 12 (8) ◽  
pp. 42
Author(s):  
David Nii O. Tackie ◽  
Jannette R. Bartlett ◽  
Akua Adu-Gyamfi ◽  
Nicole I. Nunoo ◽  
Bridget J. Perry
Keyword(s):  
Logistic Regression ◽  
Socioeconomic Factors ◽  
Household Income ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
Regression Analyses ◽  
Livestock Farming ◽  
Ordinal Logistic Regression Analysis ◽  
Small Livestock ◽  
Small Producers

Although socioeconomic factors may influence acreage owned and acreage farmed by small producers, limited studies have been conducted on this topic in the Southeastern U.S., such as in Georgia. Therefore, the study ascertained the effect of socioeconomic factors on acreage owned and acreage farmed by small livestock producers in Georgia. The data were obtained from a sample of producers, and assessed by using descriptive statistics and ordinal logistic regression analysis. The findings revealed that a majority had farming experience and livestock farming experience of 30 years or less, respectively, 82 and 77%. Corresponding proportions for 20 years or less were 74 and 71%. Additionally, a little less than half (48%) owned over 60 acres of land, and a majority (55%) farmed over 60 acres. The ordinal logistic regression analyses revealed that, of the socioeconomic factors, farming status, education, and household income had statistically significant effects on acreage owned and acreage farmed. The findings suggest that socioeconomic factors matter in farm size in the study area, and they should be taken into consideration when designing programs for small producers.

scholarly journals Effects of the Agri-environmental Program Implemented in Sultan Reeds Area of Kayseri, Turkey

2019 ◽  
Vol 7 (12) ◽  
Author(s):  
Ismet Boz
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Agricultural Practices ◽  
Farm Size ◽  
Chi Square ◽  
Factors Affecting ◽  
Environmental Program ◽  
Chi Square Test ◽  
Sustainable Agricultural Practices

This study was initiated to evaluate the effects of agri-environment program implemented in the Sultan reeds area of Kayseri province, Turkey. The specific objectives of the study were to compare the farmers who enrolled in the program with those who didn’t enroll regarding their application of different sustainable agricultural practices, and to determine factors affecting their enrolment in the program. The main comparative indicators were selected from different sustainable agricultural practices either promoted by the agri-environmental program or not promoted but considered very useful for the locality. Two stratified samples of farmers (enrolled and not enrolled) were selected based on their farm size. Chi-square tests of independence were used to compare farmers on the selected sustainable agricultural practices. Logistic regression model was used to determine factors affecting the enrolment of the agri-environment program. The findings of the chi-square test showed that enrolled farmers use grow more forage legumes, are more conscious about pesticides use and chemical applications, and they use more pressurized irrigation systems. Findings of the logistic regression model sowed that using rental land negatively, but contacts with extension personnel, and using long term loans for farming investments positively influenced the enrolment of the agri-environment program. Governmental effort must concentrate on these issues when promoting agri-environmental programs in the region.

scholarly journals Do Socioeconomic Factors Matter in Acreage Owned and Acreage Farmed by Small Livestock Producers in Alabama?

2019 ◽  
Vol 11 (10) ◽  
pp. 1 ◽  
Author(s):  
David Nii O. Tackie ◽  
Jannette R. Bartlett ◽  
Nicole I. Nunoo
Keyword(s):  
Logistic Regression ◽  
Socioeconomic Factors ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
Livestock Farming ◽  
Convenience Sample ◽  
Ordinal Logistic Regression Analysis ◽  
Small Livestock ◽  
Small Producers ◽  
The Impact

Socioeconomic factors could affect acreage owned and acreage farmed by small producers. However, there is limited research on the issue in the Southeastern U.S., for example, Alabama. Thus, this study examined the impact of socioeconomic factors on acreage owned and acreage farmed by small livestock producers in Alabama. The data were collected from a convenience sample of producers from several counties in Alabama, and analyzed using descriptive statistics and ordinal logistic regression analysis. The results showed that a majority had farming experience of more than 30 years, but had livestock farming experience of less than 30 years. Also, a little over half owned over 60 acres of land, and a majority (58%) farmed over 60 acres. The ordinal logistic regression analyses showed that, of the socioeconomic factors, only age and education had statistically significant effects on acreage owned and acreage farmed. The findings suggest that socioeconomic factors, specifically, age and education, are important to farm size in the study area.

scholarly journals Sustainability Analysis of Coffee Farming in Protected Forestof West Lampung Based on Enviromental Economic Value

2010 ◽  
Vol 26 (1) ◽  
Author(s):  
Fembriarti Erry Prasmatiwi ◽  
Irham Irham ◽  
Any Suryantini ◽  
Jamhari Jamhari
Keyword(s):  
Logistic Regression ◽  
Financial Analysis ◽  
Cost Benefit Analysis ◽  
Economic Value ◽  
Cost Benefit ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
External Cost ◽  
Community Forest ◽  
Coffee Farming

Study on sustainability of multistrata coffee systems is important related to community forest program. This research aims to study: (1) sustainability of coffee farming in protected forest of West Lampung (2) willingness to pay the external cost and its determinant factors. The study was conducted in Sumberjaya, West Lampung Regency from Juni to October 2009. The study used random sampling method with 50 protected forest farmers were interviewed. Extended Cost Benefit Analysis (ECBA) was used to address the purpose (1) while analysis of ordinal logistic regression was to address the purpose (2) Financial analysis showed that coffee farming in protected forest is feasible with NPV of IDR 17,719,505/ha, BCR 1.86 and IRR 24.96%. Coffee with complex multipurpose shade (MPTS, multipurpose tree species) generated highest NPV. Based on ECBA, sustainability depended on externality cost (environmental and social cost). Coffee farming was not sustainable (shown by negative NPV) when externality cost was more than US $536/ha. When externality cost was 458 USD ha-1 year-1 (minimum value) NPV is Rp1.648.633/ha, BCR 1,04 and IRR 26,88. Complex multipurpose shade coffee was the most sustainable among the systems. To sustain the environment, farmers willing to pay external cost in average of Rp475,660/year for soil conservation, planting more shade trees, environmental tax, and reforestation. Based on ordinal logistic regression, farm size, land productivity, household income, household size, and knowledge of forest benefits, positively influencid WTP. Policy of community forest (HKm permit) that require a minimum of 400 trees/ha could improve sustainability of coffee farming.Key words: Coffee farming, sustainable, protection forest, economic value

scholarly journals Global Sensory Impairment Independently Predicts Decreased Social Function Over Time

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 414-414
Author(s):  
Anna Huang ◽  
Kristen Wroblewski ◽  
Ashwin Kotwal ◽  
Linda Waite ◽  
Martha McClintock ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Cognitive Function ◽  
Social Engagement ◽  
Social Function ◽  
Ordinal Logistic Regression ◽  
Sensory Function ◽  
Sensory Impairment ◽  
Over Time

Abstract The classical senses (vision, hearing, touch, taste, and smell) play a key role in social function by allowing interaction and communication. We assessed whether sensory impairment across all 5 modalities (global sensory impairment [GSI]) was associated with social function in older adults. Sensory function was measured in 3,005 home-dwelling older U.S. adults at baseline in the National Social Life, Health, and Aging Project and GSI, a validated measure, was calculated. Social network size and kin composition, number of close friends, and social engagement were assessed at baseline and 5- and 10-year follow-up. Ordinal logistic regression and mixed effects ordinal logistic regression analyzed cross-sectional and longitudinal relationships respectively, controlling for demographics, physical/mental health, disability, and cognitive function (at baseline). Adults with worse GSI had smaller networks (β=-0.159, p=0.021), fewer close friends (β=-0.262, p=0.003) and lower engagement (β=-0.252, p=0.006) at baseline, relationships that persisted at 5 and 10 year follow-up. Men, older people, African-Americans, and those with less education, fewer assets, poor mental health, worse cognitive function, and more disability had worse GSI. Men and those with fewer assets, worse cognitive function, and less education had smaller networks and lower engagement. African-American and Hispanic individuals had smaller networks and fewer close friends, but more engagement. Older respondents also had more engagement. In summary, GSI independently predicts smaller social networks, fewer close friends, and lower social engagement over time, suggesting that sensory decline results in decreased social function. Thus, rehabilitating multisensory impairment may be a strategy to enhance social function as people age.

scholarly journals Bioherbicidal Properties of Parthenium hysterophorus, Cleome rutidosperma and Borreria alata Extracts on Selected Crop and Weed Species

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 643
Author(s):  
Mst. Motmainna ◽  
Abdul Shukor Juraimi ◽  
Md. Kamal Uddin ◽  
Norhayu Binti Asib ◽  
A. K. M. Mominul Islam ◽  
...  
Keyword(s):  
Oryza Sativa ◽  
Plant Extracts ◽  
Oryza Sativa L ◽  
Block Design ◽  
Parthenium Hysterophorus ◽  
Weedy Rice ◽  
Test Plant ◽  
Ageratum Conyzoides ◽  
Natural Herbicide ◽  
Cleome Rutidosperma

Natural product-based herbicides could be the effective alternatives to synthetic chemical herbicides for eco-friendly weed management. This research, therefore, was conducted to identify the phytotoxic properties of Parthenium hysterophorus L., Cleome rutidosperma DC. and Borreria alata (Aubl.) DC. with a view to introducing them as a tool for natural herbicide development. The methanol extracts of these plants were examined on the germination and growth of Zea mays L., Oryza sativa L., Abelmoschus esculentus (L.) Moench and Amaranthus gangeticus L., Oryza sativa f. Spontanea Roshev. (Weedy rice), Echinochloa colona (L.) Link., Euphorbia hirta L., and Ageratum conyzoides L. under laboratory and glasshouse conditions. A complete randomized design (CRD) with five replications and randomized complete block design (RCBD) with four replications were laid out for laboratory and glasshouse experiments, respectively. In the laboratory experiment, three plant extracts of 0, 6.25, 12.5, 50, and 100 g L−1 were tested on survival rate, hypocotyl, and radicle length of eight test plant species. No seed germination of A. conzyoides, E. hirta, and A. gangeticus were recorded when P. hysterophorus extract was applied at 50 g L−1. C. rutidosperma had the same effect on those plants at 100 g L−1. In the glasshouse, similar extracts and concentrations used in the laboratory experiments were sprayed on at the 2–3 leaf stage for grasses and 4–6 for the broadleaf species. Tested plants were less sensitive to C. rutidosperma and B. alata compared to P. hysterophorus extract. Among the weeds and crops, A. conyzoides, E. hirta, A. esculentus and A. gangeticus were mostly inhibited by P. hysterophorus extract at 100 g L−1. Based on these results, P. hysterophorus was the most phytotoxic among the tested plant extracts and could be used for developing a new natural herbicide for green agriculture.

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