A significant number of studies have been made in the area of agricultural economics; however, there is a paucity of work that investigates factors or determinants which influence the financial performance of agro cooperatives. This paper investigates determinants of financial performance for the United States (U.S.) agricultural cooperatives for the period 2009–2017. By using the United States Department of Agriculture (USDA) database, we created a sample of 37 U.S. agro cooperatives. For analysis, we used panel regression analysis as it is suitable to deal with fixed effect or random effect error component presented in the model. Finding states that the U.S. agro cooperatives are found highly sensitive to economic policy uncertainty. The results provide evidence of a negative relationship between size and profitability. Moreover, the impact of growth and capital intensity is also reflected in the return on asset (ROA). In this study, we considered ROA as a proxy for firm performance. Implications and suggestions for further new research are also discussed.

Fine dexterity of the hand might be expected to correlate with the successful use of a hearing aid. In this study, the manual dexterity of 30 individuals between 65 and 85 years using a hearing aid was tested by the Purdue pegboard test and the result was compared to the benefit obtained from the use of a hearing aid assessed by a questionnaire. Of the 30 individuals included in this study 16 were wearing a 'behind the ear' type of hearing aid and the rest had an 'in the ear' type of hearing aid. A comparison is made between the two types of heariing aids. The results demonstrate a correlation between manual dexterity and successful use of a hearing aid when all the 30 individuals were considered as a single group. However, no such correlation was found for 'in the ear' group when they were analysed separately.

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Drought stress is considered a severe threat to crop production. It adversely affects the morpho-physiological, biochemical and molecular functions of the plants, especially in short duration crops like mungbean. In the past few decades, significant progress has been made towards enhancing climate resilience in legumes through classical and next-generation breeding coupled with omics approaches. Various defence mechanisms have been reported as key players in crop adaptation to drought stress. Many researchers have identified potential donors, QTLs/genes and candidate genes associated to drought tolerance-related traits. However, cloning and exploitation of these loci/gene(s) in breeding programmes are still limited. To bridge the gap between theoretical research and practical breeding, we need to reveal the omics-assisted genetic variations associated with drought tolerance in mungbean to tackle this stress. Furthermore, the use of wild relatives in breeding programmes for drought tolerance is also limited and needs to be focused. Even after six years of decoding the whole genome sequence of mungbean, the genome-wide characterization and expression of various gene families and transcriptional factors are still lacking. Due to the complex nature of drought tolerance, it also requires integrating high throughput multi-omics approaches to increase breeding efficiency and genomic selection for rapid genetic gains to develop drought-tolerant mungbean cultivars. This review highlights the impact of drought stress on mungbean and mitigation strategies for breeding high-yielding drought-tolerant mungbean varieties through classical and modern omics technologies.