Restriction Fragment Length Polymorphism in Sorghum (Sorghum Bicolor (L.) Moench)

Restriction Fragment Length Polymorphism in Sorghum (Sorghum Bicolor (L.) Moench)
Author: Messias Gonzaga Pereira
Publisher:
Total Pages: 354
Release: 1993
Genre:
ISBN:

In this investigation, restriction fragment length polymorphisms (RFLPs) were used to construct a genetic linkage map for sorghum and to map quantitative trait loci (QTL) controlling morphological characteristics. For both purposes, and F2 population from a cross between Sorghum bicolor subspecies bicolor (CK60) and Sorghum bicolor subspecies drummondii (PI229828) was used. The map consists of 201 loci distributed among ten linkage groups covering a distance of 1530 cm, with and average eight cM between adjancent loci. Maize genomic clones, maize cDNA clones, and sorghum genomic clones were used to identify the loci. Comparison of sorghum and maize maps revealed a high degree of homology, linkage order, and similar genetic distance. Most often a sorghum linkage group contains loci that map to two chromosomes. Frequently, these two maize chromosomes share considerable DNA duplication. For QTL identification, 152 unselected F2 plants were evaluated. Interval mapping identified a total of 43 QTL, four for plant height, four for tillering, three for leaf length, two for leaf width, three for stalk circumference, two for maturity, six for panicle length, five for seed-branch length, two for sterile portion of the seed-branch, six for penducle diameter, three for number of seed-branchs per panicle, and three for seed weight. For each QTL, the most likely map position, magnitude of effects, gene action, and the source (progenitor) of alleles that increased the trait mean were described. Eighty-one percent (...).

Genetic Analysis of the Sorghum Bicolor Stay-green Drought Tolerance Trait

Genetic Analysis of the Sorghum Bicolor Stay-green Drought Tolerance Trait
Author: Karen Ruth Harris
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

Sorghum (Sorghum bicolor [L.] Moench) is the fifth most economically important cereal grown worldwide and is a source of food, feed, fiber and fuel. Sorghum, a C4 grass and a close relative to sugarcane, is adapted to hot, dry adverse environments. Some genotypes of sorghum called stay-green have delayed leaf senescence during grain ripening under drought stress conditions which allows normal grain filling whereas most sorghum lines senesce early under post-anthesis drought. Eight sources of stay-green have been identified in the sorghum germplasm collection, most originating from Sudan and Ethiopia. The diversity of the eight sources of staygreen was analyzed using 55 simple sequence repeats (SSR) markers with genome coverage. This analysis showed that the sources of stay-green are quite diverse and can be divided into five groups based on race or working group. Three sources of stay-green have been used to identify 12 major quantitative trait loci (QTL) that modulate this trait. The origin of favorable alleles for stay-green was traced backward to ancestral lines and forward into breeding materials derived from stay-green germplasm. The analysis of the origin of favorable alleles for stay-green helped explain why subsets of stay-green QTL were identified in different studies and provided evidence that there may be more than one favorable allele in the sorghum germplasm for several of the stay-green QTL. Analysis of stay-green breeding lines from three public sorghum-breeding programs revealed that one of the main QTL identified in mapping studies was not being used in the breeding programs (0/13), most likely due to its association with an allele for lemon yellow seeds. In addition, a subset of the regions containing favorable alleles for staygreen from the genotype BTx642 were over represented in stay-green breeding lines. Nearly isogenic lines containing favorable alleles from BTx642 for Stg1, Stg2, Stg3, and Stg4 in a RTx7000 (senescent) background were characterized and each NIL was shown to exhibit a stay-green phenotype. Based in part on this information, fine-mapping of Stg1 was undertaken by crossing the Stg1 NIL to RTx7000. Overall, these results revealed the origin of favorable alleles for stay-green and the current utilization of alleles for stay-green in public breeding programs. In addition, this study identified additional stay-green sources that could be used for further QTL analysis and highlighted the genetic complexity of the stay-green trait.

Quantitative Trait Loci Affecting the Agronomic Performance of a Sorghum Bicolor (L.) Moench Recombinant Inbred Restorer Line Population

Quantitative Trait Loci Affecting the Agronomic Performance of a Sorghum Bicolor (L.) Moench Recombinant Inbred Restorer Line Population
Author: Jorge Luis Moran Maradiaga
Publisher:
Total Pages:
Release: 2003
Genre:
ISBN:

Lately the rate of genetic gain in most agronomic crop species has been reduced due to several factors that limit breeding efficiency and genetic gain. New genetic tools and more powerful statistical analyses provide an alternative approach to enhance genetic improvements through the identification of molecular markers linked to genomic regions or QTLs controlling quantitative traits. The main objective of this research was to identify genomic regions associated with enhanced agronomic performance in lines per se and hybrid combination in Sorghum bicolor (L.) Moench. A population composed of 187 F5:6 recombinant inbred lines (RIL) was derived from the cross of restorer lines RTx430 and RTx7000. Also, a testcross hybrid population (TCH) was developed by using each RIL as a pollinator onto ATx2752. A linkage map was constructed using 174 marker loci generated from AFLP and SSR primer combinations. These markers were assigned to 12 different linkage groups. The linkage map covers 1573 cM with marker loci spaced at an averaged 9.04 cM. In this study, 89 QTL that control variation in seven different morphological traits were identified in the recombinant inbred line population, while in the testcross hybrid population, 79 QTL were identified. These traits included grain yield, plant height, days to mid-anthesis, panicle number, panicle length, panicle exsertion and panicle weight. These putative QTL explained from 4 to 42% of the phenotypic variation observed for each trait. Many of the QTL were not consistent across populations and across environments. Nevertheless, a few key QTL were identified and the source of the positive additive genetics isolated. RTx7000 was consistently associated with better agronomic performance in RIL, while in testcrosses, RTx430 was. Some genomic regions from RTx7000 may be utilized to improve RTx430 as a line per se. However, it is very unlikely that such regions will have a positive effect on the combining ability of RTx430 since testcross results did not reveal any transgressive segregants from the RIL population.

Genetic Analysis of Quantitative Parameters in Sorghum

Genetic Analysis of Quantitative Parameters in Sorghum
Author: Rana Ahsan Raza Khan
Publisher: LAP Lambert Academic Publishing
Total Pages: 128
Release: 2012
Genre:
ISBN: 9783659213847

Among the fodder crops, Forage Sorghum has a critical role because its characteristics are suitable for the climate of Pakistan. Breeding programmes involving the selection of better accessions depend upon the available and potential variability in the genetic makeup. However, when the information on genetic correlation among green fodder yield and its components is available, the crucial task of screening the genetic material becomes easy. The present studies were undertaken to evolve an efficient selection benchmark to facilitate the future potential breeding programmes and to select the lines on the basis of possession of traits having high contribution to yield.