Soil Cover Improves Soil Quality in a Young Walnut Forest in the Sichuan Basin, China

THE WALNUT - CONSTRAINTS AND ADVANTAGES FOR A SUSTAINABLE DEVELOPMENT

The Persian walnut or English walnut (Juglans regia L.) is a commonly grown species for nut production and noble wood. The nut is one of the oldest food and traditional medicine sources. The native and commercial walnut genotypes present a large diversity that differ widely in nut productivity and quality. However, genetic erosion poses a serious threat to this tree. Several researches of walnut genetic diversity are being carried out utilizing morphological, biochemical, and molecular approaches in order to select superior walnut cultivars of different agroclimatic areas to increase nut production and quality. Genetic resource evaluation and agrodiversity conservation have a major role in ensuring food security for future generations through a continuous supply of new rootstocks and improved cultivars.

Genetic Diversity among Some Walnut (Juglans regia L.) Genotypes by SSR Markers

The food needs for increasing population, climatic changes, urbanization and industrialization, along with the destruction of forests, are the main challenges of modern life. Therefore, it is very important to evaluate plant genetic resources in order to cope with these problems. Therefore, in this study, a set of ninety-one walnut (Juglans regia L.) accessions from Central Anatolia region, composed of seventy-four accessions and eight commercial cultivars from Turkey, and nine international reference cultivars, was analyzed using 45 SSR (Simple Sequence Repeats) markers to reveal the genetic diversity. SSR analysis identified 390 alleles for 91 accessions. The number of alleles per locus ranged from 3 to 19 alleles with a mean value of 9 alleles per locus. Genetic dissimilarity coefficients ranged from 0.03 to 0.68. The highest number of alleles was obtained from CUJRA212 locus (Na = 19). The values of polymorphism information content (PIC) ranged from 0.42 (JRHR222528) to 0.86 (CUJRA212) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), Principal Coordinates (PCoA), and the Structure-based clustering. The UPGMA and Structure clustering of the accessions depicted five major clusters supporting the PCoA results. The dendrogram revealed the similarities and dissimilarities among the accessions by identifying five major clusters. Based on this study, SSR analyses indicate that Yozgat province has an important genetic diversity pool and rich genetic variance of walnuts.

Developing the Assessment and Indicators for Local Institutions in Dealing with Forest Fire Dilemmas

This study is an analysis of the main criteria and indicators utilised in strengthening local institutions in charge of forest management towards dealing with forest fire incidents in Riau Province, Indonesia. Data were collected using in-depth interviews and observation. Out of the 120 questionnaires distributed to stakeholders, 81 responses were received and analysed using Microsoft Excel and with structural equation modelling (SEM) techniques using SPSS and SmartPLS. Four dimensions, including organization, capacity, authority, and governance, were respectively measured using ten indicators. The results showed a significant correlation between local institutions and these dimension variables in highlighting forest management issues. The results suggest a need to strengthen local institutions’ institutional arrangements and their capacities in order to ensure the effective management of natural resources, which may be achievable through the support and co-operation of government institutions and communities.