12 research outputs found
Genetic dissection of drought tolerance and recovery potential by quantitative trait locus mapping of a diploid potato population
QTLs for agronomic traits from a Mediterranean barley progeny grown in several environments
Déterminisme génétique de la qualité physiologique des graines chez Medicago truncatula
Déterminisme génétique de la qualité physiologique des graines chez Medicago truncatul
A gene encoding a germin-like protein, identified by a cDNA-AFLP approach, is specifically expressed during germination of Phaseolus vulgaris
http://dx.doi.org/10.1007/s00425-003-1004-9International audienc
Genotype and phenotype associations with drought tolerance in barley tested in North Africa
Novel genes from wild barley hordeum spontaneum for barley improvement
Narrowing genetic basis is the bottleneck for modern plant improvement. Genetic variation in wild barley Hordeum spontaneum is much greater than that of either cultivated or landrace H. vulgare gene pool. It represents a valuable but underutilised gene pool for barley improvement as no biological isolation barriers exist between H. spontaneum and cultivated barley. Novel sources of new genes were identified from H. spontaneum for yield, quality, disease resistance and abiotic tolerance. Quantitative trait loci (QTLs) were mapped to all barley chromosomes. A QTL on chromosome 4H from the wild barley consistently increased yield by 7.7% across six test environments. Wild barley H. spontaneum was demonstrated as key genetic resource for drought and salinity tolerance. Two QTLs on chromosomes 2H and 5H increased grain yield by 12–22% under drought conditions. Several QTL clusters were present on chromosomes 1H, 2H, 4H, 6H and 7H from H. spontaneum for drought and salinity tolerance. Numerous candidate genes were identified to associate with tolerance to drought or salinity, and some of the candidate genes co-located with the QTLs for drought tolerance. QTLs/genes for resistance to powdery mildew, leaf rust and scald were mapped to all chromosomes. Scald resistance was found in at least five chromosome locations (1HS, 3H, 6HS, 7HL and 7HS) from H. spontaneum, and simple molecular markers were developed to accelerate transferring of these genes into cultivated barley. Novel beta-amylase allele from H. spontaneum was used to improve barley malting quality. Advanced backcross QTL provides an efficiency approach to transfer novel genes from H. spontaneum to cultivated barley
Using a model-based framework for analysing genetic diversity during germination and heterotrophic growth of Medicago truncatula
BACKGROUND AND AIMS: The framework provided by an emergence model was used: (1) for phenotyping germination and heterotrophic growth of Medicago truncatula in relation to two major environmental factors, temperature and water potential; and (2) to evaluate the extent of genetic differences in emergence-model parameters. METHODS: Eight cultivars and natural accessions of M. trunculata were studied. Germination was recorded from 5 to 30 degrees C and from 0 to -0.75 MPa, and seedling growth from 10 to 20 degrees C. KEY RESULTS: Thermal time to reach 50 % germination was very short (15 degrees Cd) and almost stable between genotypes, while base temperature (2-3 degrees C) and base water potential for germination (-0.7 to -1.3 MPa) varied between genotypes. Only 35 degrees Cd after germination were required to reach 30 mm hypocotyl length with significant differences among genotypes. Base temperature for elongation varied from 5.5 to 7.5 degrees C. Low temperatures induced a general shortening of the seedling, with some genotypes more responsive than others. No relationship with initial seed mass or seed reserve distribution was observed, which might have explained differences between genotypes and the effects of low temperatures. CONCLUSIONS: The study provides a set of reference values for M. trunculata users. The use of the ecophysiological model allows comparison of these values between such non-crop species and other crops. It has enabled phenotypic variability in response to environmental conditions related to the emergence process to be identified. The model will allow simulation of emergence differences between genotypes in a range of environments using these parameter values. Genomic tools available for the model species M. trunculata will make it possible to analyse the genetic and molecular determinants of these differences
