SMA analysis for mapping of yield related traits showed distinct association of RM229 (chromosome 11) with yield per plant at 0.05% probability level.
The present study was undertaken with the objectives of screening Malaysian rice germplasm for drought tolerance, determining the population structure, doing association mapping of yield and yield-related traits under drought stress and non-stress (NS) conditions, and carrying out reference genome-based analysis of qDTY physical regions.
Both populations were previously used in the mapping of fruit yield- and quality-related components in melon [ 34, 35, 89, 90].
We report here the first QTL mapping of yield-related traits with a high-density genetic map using a RIL population in sesame.
The bin-map method is demonstrated to be more powerful for detecting QTL than traditional methods and has also been employed for fine mapping of yield-associated loci in rice and sorghum and root-knot nematode resistance QTL in soybean [ 29– 31].
In this study we therefore performed a dynamic mapping of biomass yield QTL in triticale to decipher the genetic dynamics underlying phenotypic development of this trait.
In this study we bring together yield maps, farm soil surveys, and rainfall records to generate whole-farm maps of actual yield, water-limited potential yield, the yield gap, the contribution of soil constraints to the yield gap, and a list of the feasible interventions to close that gap.
This report presents by far the first QTL mapping work of yield-related traits in sesame using a RIL population, in addition to the construction of a high density genetic map.
Spatial maps of grain yield, normalized difference vegetation index (NDVI), soil electrical resistivity tomography (ERT) were collected non-destructively.
Also for the first time, we have created a high resolution (0.10 × 0.10) map of specific yield for the entire country that was used for calculating GWS.
Since two previous meta-QTL analyses were performed on fiber traits, a number of papers on QTL mapping of fiber quality, yield traits, morphological traits, and disease resistance have been published.
