Quantitative Trait Loci of Plant Attributes Related to Sorghum Grain Number Determination
Autor: | Lucas Borrás, Emma S. Mace, Florencia C. Spagnolli, David Jordan, Brenda Laura Gambin |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
QTL Quantitative trait locus 01 natural sciences GRAIN SET EFFICIENCY Anthesis Gene–environment interaction GENETIC ANALYSIS Panicle biology Agricultura 04 agricultural and veterinary sciences Heritability Sorghum biology.organism_classification REPRODUCTIVE PARTITIONING Agronomy CIENCIAS AGRÍCOLAS GRAIN YIELD SORGHUM BICOLOR (L.) MOENCH 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Biomass partitioning Agricultura Silvicultura y Pesca Agronomy and Crop Science Sweet sorghum 010606 plant biology & botany |
Zdroj: | Crop Science. 56:3046-3054 |
ISSN: | 1435-0653 0011-183X |
Popis: | The genetic basis of grain number determination in sorghum [Sorghum bicolor (L.) Moench] was studied based on canopy growth traits. Traits were crop growth rate (CGR) around flowering, plant reproductive biomass partitioning (PR) to the panicle, and grain-set efficiency (EG) per unit of accumulated panicle biomass. Previous evidence has shown that these traits vary across commercial germplasm and that PR and EG are genotype-specific traits with low environmental effects. Our hypothesis was that PR and EG are highly heritable traits correlated to grain number (and yield) for which environmentally consistent quantitative trait loci (QTL) could be detected. Studied recombinant inbred lines (RILs) showed important variation in yield, grain number per square meter, time to anthesis, plant height, CGR, PR and EG, and growth environments created significant genotype × environment interactions for most. Variability in grain number per square meter was significantly correlated with PR (p < 0.001) and EG (p < 0.001) but not with CGR (p > 0.05). Heritability estimates for PR and EG were larger than estimates for CGR, grain number per square meter, or yield. A multitrait, multienvironment approach over CGR, PR, and EG identified 12 QTL (LOD ≥ 2.5), explaining 21 to 36% of observed trait variability. No QTL were detected for CGR, while two and one environmentally consistent QTL were found for PR and EG, respectively. Results highlighted relevant information that could be potentially exploited in breeding programs. Fil: Spagnolli, Florencia C.. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Mace, Emma. Hermitage Research Facility; Australia Fil: Jordan, David. The University Of Queensland; Australia Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina Fil: Gambin, Brenda Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina |
Databáze: | OpenAIRE |
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