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Jan 28, 2019

Genetic divergence and character significance in sweet potato genotypes for silage production

Considering the need to adopt more sustainable agricultural systems, it is important that sweet potato breeding programs seek to increase not only root productivity, but also the productivity and quality of branches for silage production. The objective was to evaluate the genetic divergence and the importance of traits associated with the production and quality of branch silage in sweet potato genotypes. The experiment was conducted on the JK Campus of the Federal University of Vales do Jequitinhonha and Mucuri Valleys in a randomized block design with 12 treatments and four repetitions. Twelve characteristics of branches and silage were evaluated. There was genetic variability between the genotypes, making it possible to select parents divergent for future breeding programs for silage production. The genotypes BD-54 and BD-31TO were the most divergent in relation to the others, being indicated its use in crossbreeding aiming the improvement of the culture for silage, once the high performance per se of all genotypes evaluated has already been verified in previous works. The characteristics Na, TDN and NDF were those that most contributed to the divergence.

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Jun 20, 2022

Dendroclimatic analysis and cartographic modeling of the climatic response of Fagus sylvatica during growth in a sector of the central Cantabrian Mountains

The wide distribution of the common beech (Fagus sylvatica) in Europe reveals its great adaptation to diverse conditions of temperature and humidity. This interesting aspect explains the context of the main objective of this work: to carry out a dendroclimatic analysis of the species Fagus sylvatica in the Polaciones valley (Cantabria), an area of transition with environmental conditions from a characteristic Atlantic type to more Mediterranean, at the southern limit of its growth. The methodology developed is based on the analysis of 25 local chronologies of growth rings sampled at different altitudes along the valley, generating a reference chronology for the study area. Subsequently, the patterns of growth and response to climatic variations are estimated through the response and correlation function, and the most significant monthly variables in the annual growth of the species are obtained. Finally, these are introduced into a Geographic Information System (GIS) where they are cartographically modeled in the altitudinal gradient through multivariate analysis, taking into account the different geographic and topographic variables that influence the zonal variability of the species response. The results of the analyses and cartographic models show which variables are most determinant in the annual growth of the species and the distribution of its climatic response according to the variables considered.

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Jun 26, 2024

Food security drive and adoption of improved rice varieties on the production efficiencies of upland and lowland rice farmers in north-central Nigeria

To attain the food security target of the country, fostering farmers’ adoption of improved rice varieties will go a long way toward closing the lingering production deficit gap in Nigeria, and meeting up with the ever-increasing demand for rice consumption in the country. This study investigated the effect of the adoption of improved rice varieties on the production efficiencies of rice farmers in the north-central Nigeria. A multistage sampling technique was uses to select 387 rice farmers, which includes 201 upland and 186 lowland rice farmers in the study area. A stochastic frontier analytical model (SFA) was employed to estimate production efficiencies (technical, economic and allocative) for the rice farmers. Further, a multivariate regression analysis (MVA) was applied to determine the effect of adoption on the efficiency levels of the rice farmers. The exploratory analysis of the data revealed that the rice varieties available for adoption by the rice farmers in the study area is 10, but both upland and lowland rice farmers adopted more of two rice varieties (Faro-46 and Faro-52). From the SFA results, most of the rice farmers have mean technical, economic and allocative efficiencies of 0.7, 0.54 and 0.76 respectively. The SFA estimates also indicated that seed, herbicide, fertilizer, farm size and capital assets significantly affect the efficiency of upland rice farmers, while the efficiency of their lowland counterparts is influenced by seed, farm size capital and herbicide, amongst others. The MVA estimates also showed that the adoption rate of improved rice varieties, years of formal education, and farm-level factors made significant contributions to the efficiency levels of the rice farmers. Importantly, the levels of adoption of all rice varieties by farmers indeed influenced their technical and economic efficiency, while having no impact on their allocative efficiency. The study recommended that the government, research institutes and developmental agencies should promote easy access to improved rice varieties by farmers, as this can further drive sustained adoption. This can evidently help to achieve desirable yield and enhance the efficiency level of the rice farmers and boost food availability and achieve the zero-hunger target in the study area and Nigeria at large.

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Jul 30, 2024

Sustainability and firm value: A multivariate regression analysis in the clothing industry

Firms, recognizing their Corporate Social Responsibility (CSR), are becoming catalysts for societal change by integrating Environmental, Social and Governance (ESG) criteria into their activities. The fashion industry exemplifies this effort, with an increasing number of companies embracing sustainability and ethical practices. In this context, our purpose is to provide a clear and comprehensive picture of the link between sustainability and business performance in the fashion industry. This work presents a Multivariate Regression Analysis, scrutinizing both external perspectives through stock prices and internal perspectives via profitability indices. Our aim is to discern the intricate relationship between sustainability practices and financial performance within the fashion industry, aligning ESG criteria with long-term economic success. Our regression analysis reveals a significant positive correlation between ESG scores and stock prices, indicating investor recognition of ESG performance as a crucial investment criterion. However, when focusing internally on profitability, the ESG score does not exhibit statistical significance, suggesting a yet-to-be-established connection between ESG policies and corporate profitability. This study underscores the evolving role of companies as sustainability promoters, emphasizing the crucial role of ESG performance in shaping investor perceptions. Nevertheless, it also highlights the need for further exploration into the intricate relationship between sustainable policies and corporate profitability. As businesses increasingly embrace sustainability, in fact, it could become paramount for informed decision-making and fostering ethical societal and environmental progress.

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Aug 13, 2024

Environmental and energy indicators in Latin America and the Caribbean: An evaluation from multivariate techniques on sustainability

In the current context of concern about the environmental impacts of human activity, the focus on sustainable development and environmental impact assessment (EIA) has gained prominence. The Brundtland Commission highlights the importance of meeting present needs without compromising future ones, leading to international treaties and public policies to address the environmental crisis. Moreover, the Latin American and Caribbean Initiative for Sustainable Development (ILAC) seeks to promote sustainable development in key areas in Latin America and the Caribbean. Among them, energy efficiency and destination are crucial for sustainable use of energy resources and emission reduction. The aim of this article is to examine the evolution of variables and countries regarding installed capacity to produce electricity, renewable primary energy supply share, and fossil-fuel subsidies through Dynamic biplots and multivariate analyses. Trends in the increase of renewable energy production capacity are shown. In contrast, the correlation between the share of fossil fuel subsidies and the share of renewable primary energy supply presents a weak inverse relationship. Therefore, although progress has been made toward using cleaner energies and the consumption and subsidization of fossil fuels have decreased, some countries still depend significantly on non-renewable sources. It is concluded that even when environmental information presents challenges, analyzing indicators and conceptual models contributes to understanding environmental dynamics and progress toward sustainable development in the region, especially through creating and implementing public policies.

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