Determinants of Willingness-to-Pay A Premium Price for Integrated Pest Management Produced Fruits and Vegetables in Trinidad

Overuse of pesticide in crop production poses enormous challenges to the health of farm families, consumers, and the environment. Integrated Pest Management (IPM) is an ecosystem approach to crop production that combines different management strategies and practices to grow healthy crops and minimize the use of pesticides. As a result of increasing awareness, education and per capita income, there is an increasing concern for food safety and demand for safe products among consumers of high-income countries. Consequently, this study was conducted among 266 randomly surveyed consumers of an affluent Caribbean country, Trinidad to ascertain the factors influencing consumers Willingness-To-Pay (WTP) a premium price for IPM grown-fruits and vegetables. The consumers responses for the dichotomous question, Would you be Willing to Pay an additional cost of 10% for the IPM produces from the current market prices? were analysed using Binary logit regression model. Results indicated that females ageing over 26 years and having children, those with higher annual income and higher level of education were all most likely to pay a premium to obtain IPM grown fruits and vegetables. Willingness-to-purchase IPM produce was found to increase with income, education and age. The findings of this study are promising to those developing marketing strategies, besides enabling the producers to understand that producing fruits and vegetables through IPM would fetch them premium

Understanding the molecular basis of plant growth promotional effect of Pseudomonas fluorescens on rice through protein profiling

<p>Abstract</p> <p>Background</p> <p>Plant Growth Promoting Rhizobacteria (PGPR), <it>Pseudomonas fluorescens </it>strain KH-1 was found to exhibit plant growth promotional activity in rice under both <it>in-vitro </it>and <it>in-vivo </it>conditions. But the mechanism underlying such promotional activity of <it>P. fluorescens </it>is not yet understood clearly. In this study, efforts were made to elucidate the molecular responses of rice plants to <it>P. fluorescens </it>treatment through protein profiling. Two-dimensional polyacrylamide gel electrophoresis strategy was adopted to identify the PGPR responsive proteins and the differentially expressed proteins were analyzed by mass spectrometry.</p> <p>Results</p> <p>Priming of <it>P. fluorescens</it>, 23 different proteins found to be differentially expressed in rice leaf sheaths and MS analysis revealed the differential expression of some important proteins namely putative p23 co-chaperone, Thioredoxin h- rice, Ribulose-bisphosphate carboxylase large chain precursor, Nucleotide diPhosphate kinase, Proteosome sub unit protein and putative glutathione S-transferase protein.</p> <p>Conclusion</p> <p>Functional analyses of the differential proteins were reported to be directly or indirectly involved in growth promotion in plants. Thus, this study confirms the primary role of PGPR strain KH-1 in rice plant growth promotion.</p

Determinants of Income Diversification among Dairy Farm Households in Tamil Nadu

Dairy farming is the subsidiary occupation for millions of farmers in India. Due to risks and uncertainties in rainfed areas, crop production alone was not much remunerative. Diversifying dairy with the crop and allied activities would generate better income, nutritional security, and regular employment to the farming community and ensure risk reduction. This study investigates the extent and determinants of income diversification among dairy farm households in Tamil Nadu using the Simpson Index of Diversity (SID) and the Tobit regression model. Primary data were collected from dairy farm households during the year 2021-22. The results show that two-thirds of the total household income was shared by on-farm income and the remaining one-third by off-farm and non-farm activities to the total household income. Simpson Index of Diversity (0.38) indicated that the households were diversified with milch animals, but the degree of the diversification was low since high degree of diversification requires more labour and high cost. Further, education, family size, landholding size, herd size, proximity to agricultural or allied industry, access to credit, and membership in farmer producer organizations were the important determinants of income diversification. This study indicates that farm households should adopt a concentric approach that requires targeted research, information dissemination, infrastructure development, and agricultural technical institution establishments to boost income diversification and livelihood

Determinants of Consumer’s Willingness to Pay towards Organic Products: A Structural Equation Modelling Approach

Background: India’s food industries are hotly debated as there are numerous scandals involved in tainted food products, which deliberately lowers the public’s confidence. These incidents made the organic food market growth in developing countries, especially in India. Objective: This study examines the underlying factors that influence consumer’s willingness to pay for organic products. Methods: Coimbatore district of Tamil Nadu in India was purposively selected for the study using a structural equation model (SEM) with 250 respondents. The study was conducted in twelve organic shops distributed across the district. The model is bifurcated into the willingness to pay construct and attitude construct, which helps understand the factors influencing the consumer’s willingness to pay towards organic products. Findings: The results from the attribute construct showed that health concerns, environmental concerns and subjective norms were found to positively affect the consumer’s attitude towards purchasing the organic product. In the case of willingness to pay construct, the factors like attitude, knowledge, awareness and income of the consumers positively influence willingness to pay towards the organic product. In contrast, the factor perceived expensiveness was contrary in nature. Novelty: This empirical study provides a good understanding of purchase intention towards organic products, which will aid the producers, middlemen, and stakeholders develop the product and expand the market

Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces

peer reviewedAffective computing has potential to enrich the development lifecycle of Graphical User Interfaces (GUIs) and of intelligent user interfaces by incorporating emotion-aware responses. Yet, affect is seldom considered to determine whether a GUI design would be perceived as good or bad. We study how physiological signals can be used as an early, effective, and rapid affective assessment method for GUI design, without having to ask for explicit user feedback. We conducted a controlled experiment where 32 participants were exposed to 20 good GUI and 20 bad GUI designs while recording their eye activity through eye tracking, facial expressions through video recordings, and brain activity through electroencephalography (EEG). We observed noticeable differences in the collected data, so we trained and compared different computational models to tell good and bad designs apart. Taken together, our results suggest that each modality has its own “performance sweet spot” both in terms of model architecture and signal length. Taken together, our findings suggest that is possible to distinguish between good and bad designs using physiological signals. Ultimately, this research paves the way toward implicit evaluation methods of GUI designs through user modeling

Improving Profitability and Livelihood of Rice Farmers by Adopting an Integrated Disease Management (IDM) Approach for Blast and Sheath Blight Disease in Guyana

The profitability of rice production in Guyana has been adversely affected by two major diseases viz. blast (Pyricularia oryzae) and sheath blight (SB) (Rhizoctonia solani). To overcome these threats, it is necessary to develop and adopt an IDM approach. A study was carried out: to identify blast and SB resistant genotypes; to study the efficacy of plant extracts, bioagents and new generation fungicides against these disease. Of 103 rice lines, 11 showed highly resistant to resistant reactions to blast. Genotype FL-127 consistently expressed high blast resistance. Likewise, FG12-56 and GR1631-35-16-1-2-1-1 recorded immune to resistant reactions and 12 other exhibited very resistant to resistant reactions to SB. Plant extracts of Black sage 10%, Bael 15% and Madar plant 5% reduced blast infection in field experiments; likewise extracts of Lemon grass and Thick leaf thyme 15% reduced SB under field conditions. The bioagent, Bacillus cereus OG2L and B. subtilis OG2A significantly reduced blast; while B. cereus OG2L effectively reduced SB. The fungicides, Antracol 70WP and Nativo 75 WG showed superior control against blast; while the same 2 fungicides along with Serenade 1.34 SC showed high control of SB disease. These treatments also showed positive influence in growth and increase in yield of rice

Genome-wide association studies and genomic selection assays made in a large sample of cacao (Theobroma cacao L.) germplasm reveal significant marker-trait associations and good predictive value for improving yield potential.

A genome-wide association study (GWAS) was undertaken to unravel marker-trait associations (MTAs) between SNP markers and phenotypic traits. It involved a subset of 421 cacao accessions from the large and diverse collection conserved ex situ at the International Cocoa Genebank Trinidad. A Mixed Linear Model (MLM) in TASSEL was used for the GWAS and followed by confirmatory analyses using GAPIT FarmCPU. An average linkage disequilibrium (r2) of 0.10 at 5.2 Mb was found across several chromosomes. Seventeen significant (P ≤ 8.17 × 10-5 (-log10 (p) = 4.088)) MTAs of interest, including six that pertained to yield-related traits, were identified using TASSEL MLM. The latter accounted for 5 to 17% of the phenotypic variation expressed. The highly significant association (P ≤ 8.17 × 10-5) between seed length to width ratio and TcSNP 733 on chromosome 5 was verified with FarmCPU (P ≤ 1.12 × 10-8). Fourteen MTAs were common to both the TASSEL and FarmCPU models at P ≤ 0.003. The most significant yield-related MTAs involved seed number and seed length on chromosome 7 (P ≤ 1.15 × 10-14 and P ≤ 6.75 × 10-05, respectively) and seed number on chromosome 1 (P ≤ 2.38 × 10-05), based on the TASSEL MLM. It was noteworthy that seed length, seed length to width ratio and seed number were associated with markers at different loci, indicating their polygenic nature. Approximately 40 candidate genes that encode embryo and seed development, protein synthesis, carbohydrate transport and lipid biosynthesis and transport were identified in the flanking regions of the significantly associated SNPs and in linkage disequilibrium with them. A significant association of fruit surface anthocyanin intensity co-localised with MYB-related protein 308 on chromosome 4. Testing of a genomic selection approach revealed good predictive value (genomic estimated breeding values (GEBV)) for economic traits such as seed number (GEBV = 0.611), seed length (0.6199), seed width (0.5435), seed length to width ratio (0.5503), seed/cotyledon mass (0.6014) and ovule number (0.6325). The findings of this study could facilitate genomic selection and marker-assisted breeding of cacao thereby expediting improvement in the yield potential of cacao planting material

Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces

Affective computing has potential to enrich the development lifecycle of Graphical User Interfaces (GUIs) and of intelligent user interfaces by incorporating emotion-aware responses. Yet, affect is seldom considered to determine whether a GUI design would be perceived as good or bad. We study how physiological signals can be used as an early, effective, and rapid affective assessment method for GUI design, without having to ask for explicit user feedback. We conducted a controlled experiment where 32 participants were exposed to 20 good GUI and 20 bad GUI designs while recording their eye activity through eye tracking, facial expressions through video recordings, and brain activity through electroencephalography (EEG). We observed noticeable differences in the collected data, so we trained and compared different computational models to tell good and bad designs apart. Taken together, our results suggest that each modality has its own “performance sweet spot” both in terms of model architecture and signal length. Taken together, our findings suggest that is possible to distinguish between good and bad designs using physiological signals. Ultimately, this research paves the way toward implicit evaluation methods of GUI designs through user modeling

Prioritisation of quarantine pest list for the Caribbean using a multi-criteria decision approach

Quarantine plant pests are socially, economically and environmentally important due to their impact on food security, human health, global trade and crop production costs. The increase in global trade and tourism, frequent occurrence of natural disasters and climate changes have exacerbated the rate of entry, establishment and spread of plant pests regionally and globally. It has, therefore, become exigent to develop a list of pests of quarantine importance at the regional and national levels to prioritise and allocate the limited available resources to manage the associated risks. In the present study, the Technical Committee on the Formulation and Prioritisation of a Regional Priority Pest List for the Caribbean, in collaboration with the National Plant Protection Organisation of the Caribbean countries and the United States Department of Agriculture - Animal and Plant Health Inspection Service (USDA-APHIS), developed and prioritised a quarantine pest list using a multi-criteria decision-making approach. The technical committee successfully evolved the process in 2014 and 2018 and developed a list of the top 10 pests of quarantine importance for the Caribbean Region, employing the Delphi Technique (DT) and Analytical Hierarchy Process (AHP) through the assignment of criteria that are relevant to the region. The Mediterranean fruit fly (Ceratitis capitata), frosty pod rot (Moniliophthora roreri) and the tomato leaf miner (Tuta absoluta), listed as top quarantine pest threats, were subsequently detected in the region. This exercise guided the authorities in advance to allocate resources and to develop response plans including capacity building for surveillance and detection of priority pests. This has demonstrated the significance and appropriateness of the multi-criteria decision approach to determine priority pest lists and prepare the region for development of better management practices