Evaluation of Refresher Training Programme on Conservation Agriculture Practices

2022 ◽  
Vol 58 (1) ◽  
pp. 49-52
Author(s):  
B. C. Sharma ◽  
Rakesh Kumar ◽  
P. S. Slathia ◽  
Ramphool Puniya ◽  
Amrish Vaid
Keyword(s):  
Human Resource Development ◽  
Human Behavior ◽  
Conservation Agriculture ◽  
Training Programme ◽  
Work Place ◽  
Cropping Pattern ◽  
Resource Use Efficiency ◽  
Knowledge Test ◽  
Use Efficiency ◽  
The Impact

Human behavior consists of knowledge, skill and attitude and timely up gradation of thesethree components is must for better human resource development. Training is medium formodification of human behavior to efficiently discharge one’s own duties and responsibilitiesat their respective work place. The paper attempts to evaluate the impact of 10 daystraining programme entitled “Conservation agriculture practices for enhancing productivityand resource use efficiency in major cropping pattern” conducted in the Division ofAgronomy, SKUAST-Jammu on knowledge of the participants regarding different aspectsof conservation agriculture as well as their opinion towards overall organization of trainingprogramme. Gain in knowledge was taken as indicator for assessing the immediate outputof the training programme. Participants were exposed to pre and post knowledge test andthe results of two sample paired t-test (p=.000) so applied revealed that there wassignificant gain in knowledge about different aspects of conservation agriculture afterattending the training programme. Overall majority of the respondents were of opinionthat training programme was well planned and very effective and they had learned differentpractical aspects of conservation agriculture.

scholarly journals A Smart Farming System for Circular Agriculture

2021 ◽  
Vol 9 (1) ◽  
pp. 10
Author(s):  
Aristotelis C. Tagarakis ◽  
Christos Dordas ◽  
Maria Lampridi ◽  
Dimitrios Kateris ◽  
Dionysis Bochtis
Keyword(s):  
Crop Management ◽  
Farming System ◽  
Integrated System ◽  
Agricultural Activity ◽  
Resource Use Efficiency ◽  
Management Tools ◽  
Smart Farming ◽  
Use Efficiency ◽  
The Cost ◽  
The Impact

Agricultural activities such as fertilization and other crop management techniques contribute to greenhouse gas emissions and pollution; the cost of such activities is considerably high, with nitrogen pollution costing the EU up to 320 billion euros annually. In the present study, an integrated system has been proposed which utilizes smart farming tools and smart processing methodologies following the concept of a circular economy to reduce the impact of agricultural activity on climate change. Circular agriculture and precision farming together with the use of appropriate crop management tools may contribute to better resource use efficiency and sustainable agriculture.

scholarly journals Trade-Offs between Sustainability Indicators in Response to the Production Choices of Different Farm Household Types in Drylands

Agronomy ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 998 ◽  
Author(s):  
Loubna El Ansari ◽  
Roza Chenoune ◽  
Yigezu A. Yigezu ◽  
Christian Gary ◽  
Hatem Belhouchette
Keyword(s):  
Resource Use ◽  
Production Systems ◽  
Farm Income ◽  
Farm Household ◽  
Resource Use Efficiency ◽  
Trade Offs ◽  
Limited Food ◽  
Use Efficiency ◽  
The Impact ◽  
Farming Households

A lot of national and international effort has been made to promote sustainable agricultural production systems in drylands. However, success has been seriously limited due to lack of thorough characterization of the impact of the diversity of farm household types on productivity, resource-use efficiency and economic and nutritional status. This study applied hierarchical ascendant classification to a random sample of 286 cereal-producing farm households in Morocco and identified distinct household typologies. It also carried out an analysis of trade-offs between economic, nutritional and environmental factors induced by the production decisions of the different farm household typologies. Our analysis identified three dominant farm household typologies in the production system, namely: (i) intensive predominantly-vegetable farming households with high input intensities, (ii) semi-intensive cereal mono-crop farming households with moderate input intensities and (iii) extensive mixed cereal-legume farming households with low input intensities. Extensive mixed cereal-legume farming households exhibited the highest resource-use efficiency and high biodiversity. These benefits, however, came at the expense of a much lower farm income and limited food supplies relative to the other two systems. These results show that, as is the case for many dryland regions, all three farm types showed precarious conditions for one or more of the sustainability-related indicators.

scholarly journals The impact of demographic and situational factors on training transfer in a health care setting

2016 ◽  
Vol 35 (2) ◽  
pp. 129-142 ◽  
Author(s):  
Mary C. Cowman ◽  
Alma M. McCarthy
Keyword(s):  
Health Care ◽  
Human Resource Development ◽  
Training Transfer ◽  
Training Programme ◽  
Educational Background ◽  
Demographic Variables ◽  
Situational Factors ◽  
Situational Variables ◽  
Employment Tenure ◽  
The Impact

AbstractTraining transfer is the extent to which human resource development (HRD) interventions result in a change in trainee workplace behaviour post-training. Training transfer is an important dimension of training effectiveness. However, studies on training transfer are not extensive and some of the findings are inconclusive. Drawing on a study of 124 trainees across 102 similar organisations within the Irish health care system, the current study investigates the effect of demographic variables (age, educational background, position), situational variables (time since training, tenure, recruitment to the training programme, preparation for training) and organisational size on training transfer. Regression analyses report that current position significantly impacts training transfer in terms of direction, while method of recruitment to the training programme, age and employment tenure were all significant predictors of training transfer complexity. The findings report that age is not a barrier to training transfer. These results have important implications for HRD practitioners with regard to the profile of the workforce in this setting, the training and development function and trainee recruitment.

scholarly journals Pulsed LED Light: Exploring the Balance between Energy Use and Nutraceutical Properties in Indoor-Grown Lettuce

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1106
Author(s):  
Laura Carotti ◽  
Giulia Potente ◽  
Giuseppina Pennisi ◽  
Karina B. Ruiz ◽  
Stefania Biondi ◽  
...  
Keyword(s):  
Energy Use ◽  
Fluorescent Light ◽  
Switching Frequency ◽  
Resource Use Efficiency ◽  
Light Emitting ◽  
Use Efficiency ◽  
Lighting Systems ◽  
Qualitative Responses ◽  
The Impact ◽  
Nutraceutical Properties

In indoor vertical farms, energy consumption represents a bottleneck for both a system’s affordability and environmental footprint. Although switching frequency (sf) represents a crucial factor in determining the efficacy of light emitting diodes (LED) lighting systems in converting electricity into light, the impact of sf is still underexplored. The aim of this work was to investigate the effect of LEDs sf on the productive and qualitative responses of lettuce (Lactuca sativa L.), also considering the resource use efficiency. Plants were grown for 14 days under red and blue LEDs (215 μmol m−2 s−1 and 16/8 h light/dark, with a red:blue ratio of 3) characterized by two different sf for the blue diode, namely high sf (850 kHz) and low sf (293 kHz). A fluorescent light (same light intensity and photoperiod) was included. LED sf did not alter plant morphological parameters, including fresh or dry biomass, leaf number, leaf area, or water use efficiency. A low sf increased the energy use efficiency (EUE) by 40% as compared to high sf. The latter enhanced the leaf antioxidant capacity, as a consequence of increased concentrations of caftaric and chicoric acids, isoquercetin, and luteolin, consistent with the upregulation of a few genes related to the biosynthetic pathway of phenolic compounds (4C3H and DFR). The study highlights that different sf may significantly affect the EUE as well as crop nutritional properties.

scholarly journals A New Standard Area Diagram Set for Assessment of Severity of Soybean Rust Improves Accuracy of Estimates and Optimizes Resource Use

2020 ◽  
Author(s):  
Emerson Medeiros Del Ponte ◽  
Kaique Santos Alves
Keyword(s):  
Resource Use ◽  
Fold Increase ◽  
Soybean Rust ◽  
Phakopsora Pachyrhizi ◽  
Resource Use Efficiency ◽  
Severe Reduction ◽  
New Knowledge ◽  
Disease Reduction ◽  
Use Efficiency ◽  
The Impact

Soybean rust (SBR), caused by Phakopsora pachyrhizi, is the most important yield- damaging fungal disease of soybean due to severe reduction in healthy leaf area and acceleration of leaf fall. In experimental research, SBR severity is estimated visually aided/trained by a standard area diagram (SAD) developed and validated during the mid- 2000s (Old SAD). In this study, we propose a new SAD set for SBR with six true-colour diagrams following linear increments (c.15% increments) amended with four additional diagrams at low (<10%) severities, totaling 10 diagrams (0.2%, 1%, 3%, 5%, 10%, 25%, 40%, 55%, 70%, and 84%). For evaluation, 37 raters were split into two groups. Each assessed severity in a 50-image sample (0.25% to 84%), first unaided and then using either the Old SAD or the New SAD. Accuracy, precision, and reliability of estimates improved significantly relative to unaided estimates only when aided by the New SAD (accuracy >0.95). Low precision (<0.78) and a trend of underestimation with an increase in severity were the main issues with the Old SAD, which did not differ from unaided estimates. Simulation to evaluate the impact of the errors by different methods on hypothesis tests, showed that the new SAD was more powerful for detecting the smallest difference in mean control (e.g., 70% vs. 65% disease reduction) than the Old SAD; the latter required a 2-fold increase in sample size to achieve the same power. There is a need to improve some SADs, taking advantage of new knowledge and technology to increase accuracy of the estimates, and to optimize both resource use efficiency and management decisions.

scholarly journals ​Conservation Agriculture (CA)-Based Tillage Practices in Maize for Enhancing Crop Yield, Resource use Efficiency and Soil Health: A Review

2021 ◽  
Author(s):  
Niraj Biswakarma ◽  
Bishesh Rai ◽  
Somanath Nayak ◽  
Radheshyam .
Keyword(s):  
Crop Yield ◽  
Resource Use ◽  
Crop Production ◽  
Critical Role ◽  
Soil Health ◽  
Conservation Agriculture ◽  
Biological Properties ◽  
Resource Use Efficiency ◽  
Tillage Practices ◽  
Use Efficiency

The triple challenge of acute water crisis, stagnant crop yield and soil health deterioration in NW Indo Gangetic Plains (IGP) ramble a search for potential alternative crop establishment technique (CET). Hence, maize-based crop rotations under best-bet conservation agriculture (CA) practices can plays a critical role in sustainable crop production. The CA-based tillage and CET viz. zero tillage (ZT) and permanent raised beds (PB) hold potential to intensify crop yield per hectare, improving resource use efficiency besides bringing desirable changes in soil physico-chemical and biological properties. Therefore, it needs to be popularized in larger scale chiefly under maize-based rotation to makes farming more attractive, profitable and sustainable.

scholarly journals Resource Use Efficiency as a Climate Smart Approach: Case of Smallholder Maize Farmers in Nyando, Kenya

Environments ◽  
2018 ◽  
Vol 5 (8) ◽  
pp. 93 ◽  
Author(s):  
Mohamud Salat ◽  
Brent Swallow
Keyword(s):  
Soil Carbon ◽  
Technical Efficiency ◽  
Resource Use ◽  
Soil Conservation ◽  
Smallholder Farmers ◽  
Conservation Practices ◽  
Resource Use Efficiency ◽  
Maize Production ◽  
Use Efficiency ◽  
The Impact

To simultaneously enhance agricultural productivity and lower negative impacts on the environment, food systems need to be much more efficient in using resources such as land, water, and fertilizer. This study examines resource use efficiency of maize production among smallholder farmers in Nyando, Kenya. The main objective is to assess the degree of technical efficiency of smallholder farmers and identify the impact of so-called “climate smart practices” on technical efficiency. The method of Stochastic Frontier Analysis is used to simultaneously estimate a stochastic production frontier and a technical inefficiency effect model. Data for 324 subplots farmed by 170 households were available for this analysis. The study reveals that maize production in Nyando is associated with mean technical efficiency of 45% and that soil conservation practices such as residue management, legume intercropping, and improved varieties significantly increase farmers’ technical efficiency. Soil carbon is found to be a critical factor of production. These results imply that there is potential to more than double production using the same resources and that soil conservation practices can be very “climate smart,” at once increasing soil carbon, production, climate resilience, and technical efficiency.

Sign in / Sign up

Export Citation Format

Share Document