Resistance to <Emphasis Type="Italic">Rice yellow mottle virus</Emphasis> in rice germplasm in Madagascar

Rice yellow mottle virus (RYMV) is a recent and major threat to rice production in Madagascar. A large scale screening of resistance to RYMV in rice germplasm in Madagascar was conducted by visual symptom scoring and virus-assessment through ELISA tests. The response to virus inoculation of 503 local or introduced rice accessions was assessed. Most of them were susceptible to RYMV. A few cultivars expressed partial resistance at a level similar to the partially resistant Oryza sativa japonica cv. Azucena. Only one O. sativa cultivar expressed high resistance characterised by a lack of symptoms and an undetectable level of virus. It was a Malagasy traditional indica cultivar, named Bekarosaka, which originated from the northwest of the country. It was selected by farmers for its field resistance to RYMV. The response of cv. Bekarosaka to four pathotypes of RYMV was similar to that of cv. Gigante, the only other highly resistant indica cultivar. The sequence of the middle domain of the eIF(iso)4G, the genetic determinant of Rymv1 resistance on chromosome 4, of cv. Bekarosaka was similar to that of cv. Gigante. Subsequently, cvs Bekarosaka and Gigante probably carried the same resistance allele Rymv1-2. Rymv1-2 resistance was efficient against isolates of the major strains of RYMV, but was readily overcome by a pathotype from the northwest of Madagascar.     

Production of a new low-caffeine hybrid coffee and the biochemical mechanism of low caffeine accumulation

The GCAs are new tetraploid interspecific hybrids developed in Madagascar from Coffea eugenioides, C. canephora and C. arabica. Selected GCA having genotype UF1023 contained 0.37% DW caffeine and no detectable theobromine in green beans. Low caffeine accumulation in GCA plants is due mainly to the low biosynthetic activity of purine alkaloids, possibly the extremely weak N-methyltransferase reactions in caffeine biosynthesis. No significant catabolic activity of caffeine was found in GCA-UF1023, in common with almost all coffee plants including C. arabica.     

An assessment of the genetic integrity of ex situ germplasm collections of three endangered species of Coffea from Madagascar: implications for the management of field germplasm collections

Madagascar has 59 species of Coffea, of which 42 are listed as Critically Endangered, Endangered, or Vulnerable by criteria of the Red List Category system of the World Conservation Union. In an attempt to assess the conservation value of ex situ collections of Malagasy coffee species, a study was undertaken using the field genebank collections maintained at the Kianjavato Coffee Research Station. Three species were selected for this purpose, C. kianjavatensis, C. montis-sacri, and C. vatovavyensis, and for comparative purposes extant, in situ populations of the same species were studied. Parentage analyses of ex situ propagated offspring of C. kianjavatensis and C. montis-sacri were performed to assess if crossing with other Coffea species maintained in the field genebank is compromising the genetic integrity of the collection. For these three species, higher genetic diversity was observed in the ex situ populations compared to the in situ populations, highlighting the importance of preserving the plants currently in ex situ collections. Parentage analyses of seed-propagated offspring of C. kianjavatensis and C. montis-sacri revealed that cross contamination with pollen from other Coffea species in the ex situ field genebank is occurring. These results have significant implications for the conservation management of wild Coffea species and for the management of ex situ genebanks.     

Valuation of Rice Postharvest Losses in Sub-Saharan Africa and Its Mitigation Strategies

正Data on rice harvest and postharvest loss in Sub-Sahara Africa(SSA) is scanty making it difficult for stakeholders to appreciate the loss and set priority areas for loss reduction along the value chain. To address this problem, a protocol was developed and validated for postharvest loss(PHL) quantification in SSA. Quantitative losses at each segment were determined by field measurements.