Drought is the major constraint to chickpea productivity worldwide. Utilizing early flowering genotypes and larger seed size have been suggested as strategies for breeding in drought zones. Therefore, this study aimed to identify potential markers linked to days-to-flowering, 100-seed weight, and plant height in a chickpea intraspecific F(2:3) population derived from the cross ILC3279 × ICCV2. A closely linked marker (TA117) on linkage group LG3 was identified for the days-to-flowering trait, explaining 33% of the variation. In relation to plant height, a quantitative trait loci (QTL) was located in LG3, close to the Ts5 marker, that explained 29% of phenotypic variation. A QTL for 100-seed weight located in LG4, close to TA176, explained 51% of variation. The identification of a locus linked both to high 100-seed weight and days-to-flowering may account for the correlation observed between these traits in this and other breeding attempts.

Morphological traits and three molecular markers techniques: start codon targeted (SCoT), inter-simple sequence repeat (ISSR) and directly amplified minisatellite DNA (DAMD) markers were compared for fingerprinting of 40 landraces chickpea genotypes collected from different geographical locations of north-west of Iran. Variance analysis of ten measured morphological traits showed significant differences existed between genotypes. Cluster analysis based on morphological traits, divided genotypes in three distinct clusters. Average polymorphism information content (PIC) for ISSR, DAMD and SCoT markers was 0.216, 0.232 and 0.232, respectively, and this revealed that SCoT markers were more informative, followed by ISSRs marker, than other markers for the assessment of diversity amongst genotypes. Cluster analysis for three different molecular types revealed that genotypes taken for the analysis can be divided in three and four distinct clusters. Accessions from same geographical regions mostly showed more genetic similarities than those from origins far isolated apart. These results suggest that efficiency of SCOT, DAMD and ISSR markers was relatively the same in fingerprinting of genotypes but SCOT and DAMD analysis are more effective in fingerprinting of chickpea genotypes. To our knowledge, this is the first detailed report of a comparison of performance among two targeted DNA region molecular markers (SCoT and DAMD) and the ISSR technique on a set of samples of chickpea. Overall, our results indicate that SCOT, ISSR and DAMD fingerprinting could be used to detect polymorphism for genotypes of chickpea.

The purpose of this research was to evaluate the combining ability of six local Iranian and one imported cantaloupe cultivar. Heritability of traits was estimated using a half‐diallel mating design. Seven parents and their crosses were evaluated in 2013 and 2014. The greatest general combining ability (GCA) for yield and fruit number was for “Rish‐baba” (0.53 kg/plant and 0.3, respectively). The cultivar “Ananasi” had the highest GCA for fruit weight and soluble solids content (SSC) (0.088 kg and 1.4, respectively). “Ananasi” presented the highest GCA values for fruit firmness, chlorophyll a and b and carotenoid content, as well as the highest total chlorophyll content. The cross Garmak × Rish‐baba showed the highest specific combining ability (SCA) for yield with heterosis value of 99%. High heritability estimates for SSC (0.52), flesh thickness (0.61) and concentration of chlorophyll a (0.7) were obtained. Although there were significant SCAs for yield, the parents are suggested to be improved prior to hybrid development. The parent “Ananasi” appears to be a suitable donor in breeding programmes.

No abstract

Quantitative traits of seed size, plant height and days to flowering were studied in a chickpea intraspecific F3:4 lines population derived from a ILC3279?ILC588 cross. The lines were genotyped with random amplified polymorphic DNA (RAPD), universal rice primer (URP) and sequence tagged microsatellite site (STMS) markers, and a genetic map composed of 7 linkage groups (LGs) covering 285.3 cM was constructed. Quantitative trait loci (QTLs) for the three characters were detected in LG2, LG3 and LG4. Two QTLs for days to flowering were detected on LG2 and LG3. These two QTLs accounted for 58% of the total phenotypic variation for days to flowering. A QTL for plant height was located in LG3 explaining around 42% of the variation. This trait was shown to be under a major gene control. For 100-seed weight, a QTL located in LG4 explained around 37% of the phenotypic variations. This information can be used to formulate the an efficient breeding strategy for improvement of time to flowering in short-season temperate environments, plant height with more reproductive biomass and improved yield with bigger seed size in chickpea.