Land Use and Land Cover Change 2000-2016 in Mozambique

Grinand, Clovis; Telina, Randrianarivo; Montfort, Frédérique

doi:10.5281/zenodo.4242928

Cited by 1 publication

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“…Indeed, during our expeditions, we could not validate many historical herbaria locations (personal observations). This was not unexpected and might be interconnected with the fact that (i) Mozambique is among the most disaster-prone countries on a global scale [ 38 ], and has gone through a series of natural shocks over the last decades, e.g., the flooding of 2000 and 2017, the Earthquake of 2006, the cyclone Favio in 2007, Idai and Kenneth in 2019, the storm Dando in 2012, or the current tropical storm Freddy that hazards the country as we write this article [ 39 , 40 ]; (ii) the related resettlements of local communities; and (iii) the dynamics of land use and land cover [ 41 ]. The second possibility is that the species’ identity has been mistaken in the past.…”

Section: Discussionmentioning

confidence: 99%

Genomic Evaluation of Coffea arabica and Its Wild Relative Coffea racemosa in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change

Tapaça,

Mavuque,

Corti

et al. 2023

Plants

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Climate change is negatively affecting the coffee value chain, with a direct effect on approximately 100 million people from 80 countries. This has been attributed to the high vulnerability of the two-mainstream species, Coffea arabica and Coffea canephora, to extreme weather events, with notable uneven increases in market prices. Taking into account the narrow genetic plasticity of the commercial coffee cultivars, wild-relatives and underutilized Coffea species are valuable genetic resources. In this work, we have assessed the occurrence of Coffea species in to understand the degree of genetic relationships between Coffea species in the country, as well as the patterns of genetic diversity, differentiation, and genetic structure. Only one wild species was found, C. racemosa, which showed a high level of genetic separation with C. arabica, based on plastid, as well as SSR and SNP analysis. C. arabica presented low levels of diversity likely related to their autogamous nature, while the allogamous C. racemosa presented higher levels of diversity and heterozygosity. The analysis of the functional pathways based on SNPs suggests that the stress signaling pathways are more robust in this species. This novel approach shows that it is vital to introduce more resilient species and increase genomic diversity in climate-smart practices.

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Section: Discussionmentioning

confidence: 99%