Germplasm genetic diversity & plant breeding
Hossein Sabouri; Abdollatif Gholizadeh; Sharifeh Mohammad Alrgh; Somayyeh Sanchouli; Mahnaz Katouzi
Abstract
Rice is the world’s most important staple food and will continue to be so in the coming decades. Ferrous iron is essential for rice growth. A mapping population of 96 rice inbred lines derived by Neda (NAD) and Ahlemitarom (ATM) cross, was used to detect quantitative trait loci (QTLs) for fresh ...
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Rice is the world’s most important staple food and will continue to be so in the coming decades. Ferrous iron is essential for rice growth. A mapping population of 96 rice inbred lines derived by Neda (NAD) and Ahlemitarom (ATM) cross, was used to detect quantitative trait loci (QTLs) for fresh biomass (FB), root length (RL), shoot length (SL), root number (RN), leaf width (LW), root fresh weight (RFW), root dry weight (RDW) and Fe content (FC) under Fe toxicity condition in rice. Two parents and 96 inbred lines were evaluated for the traits by growing them under normal and Fe toxicity nutrient solution. Under stress condition, two QTLs were detected for FB on chromosome 10, with LOD of 2.859, and 2.465. Twelve QTLs were identified for RL on chromosomes 2, 4, 5, 6, 7, 8, 9, 10, and 12. Three QTLs were detected on chromosomes 6, 7, and 8 for RN, and two QTLs for RDW on chromosomes 2 and 9. One QTL controlling LW, RFW, and FC was located on chromosomes 10, 9, and 1, respectively. The other QTLs for FB, SL, and RN was located on chromosomes 12, 12, and 3 under normal condition, with respective contributions of 9.7, 10, and 9.9, respectively. qLWN-2, qLWN-7, and qLWN-12 were located for LW on chromosomes 2, 7, and 12. These QTLs, due to the high percentage of explanation after validation, are a good candidate for marker-assisted selection programs with the help of markers in the rice population.
Plant breeding for abiotic & biotic stresses
Mahnaz Rahmati; Mohsen Mardi; Mohammad-Reza Naghavi; Eslam Majidi Heravan; Babak Nakhoda; Amin Azadi; Ghasem Mohammadi-Nejad
Abstract
In order to identify yield and yield component QTLs under control and salt-stress conditions, a population of 254 recombinant inbred lines (RILs), derived from a cross between two bread wheat cultivars, (Roshan / Sabalan), was assessed. Parents and their 254 recombinant inbred lines (RILs) were evaluated ...
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In order to identify yield and yield component QTLs under control and salt-stress conditions, a population of 254 recombinant inbred lines (RILs), derived from a cross between two bread wheat cultivars, (Roshan / Sabalan), was assessed. Parents and their 254 recombinant inbred lines (RILs) were evaluated in an alpha-lattice design with two replications in two control and saline environments of Yazd in 2011-2012 cropping season. Yield and yield-related traits were evaluated at harvest time. The genotyping was carried out using SSR and DArT markers. A, B and D genomes were covered by 411.8, 620.4 and 67.5 cM, respectively. Also, a total of 48 QTLs were detected on 11 chromosomes for grain yield, biological yield, harvest index, thousand-kernel weight, grain number per spike, spike weight and spikelet number per spike. Roshan (salt tolerance) alleles were associated with an increase yield under saline conditions. SSR markers including gwm146, gwm577, gwm249 (on chromosomes 2A and 7B) were tightly associated with different QTLs. The major effect QTLs were located on chromosomes 1A and 7B for grain yield, harvest index and spike weight, which were explained 10.2%, 12.98% and 29 % of the total phenotypic variance, respectively. These QTLs and markers could be suitable for marker-assisted selection and gene stacking techniques. Moreover, co-located QTLs were detected on chromosome 2B for evaluated traits.