This study has identified single-nucleotide polymorphism (SNP) markers associated with nine yield-related traits in pigeonpea by using two backcross populations (BP) developed through interspecific crosses and evaluating them at two locations and 3 years. In both the populations, markers have shown strong segregation distortion; therefore, a quantitative trait locus (QTL) mapping mixed model was used. A total of 86 QTLs explaining 12-21% phenotypic variation were detected in BP-1. On the other hand, 107 QTLs explaining 11-29% phenotypic variation were detected in BP-2. Although most QTLs were environment and trait specific, few stable and consistent QTLs were also detected. Interestingly, 11 QTLs in BP-2 were associated with more than one trait. Among these QTLs, eight QTLs associated with days to 50% flowering and days to 75% maturity were located on CcLG07. One SNP "S7_14185076" marker in BP-2 population has been found associated with four traits, namely days to 50% flowering, days to 75% maturity, primary branches per plant and secondary branches per plant with positive additive effect. Hence, the present study has not only identified QTLs for yield-related traits, but also discovered novel alleles from wild species, which can be used for improvement of traits through genomics-assisted breeding.
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http://dx.doi.org/10.1007/s00122-019-03504-z | DOI Listing |
Hortic Res
January 2025
Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China, 100193.
Appropriate root system architecture (RSA) can improve alfalfa yield, yet its genetic basis remains largely unexplored. This study evaluated six RSA traits in 171 alfalfa genotypes grown under controlled greenhouse conditions. We also analyzed five yield-related traits in normal and drought stress environments and found a significant correlation (0.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
January 2025
Dept. of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh.
Rice salt tolerance is highly anticipated to meet global demand in response to decreasing farmland and soil salinization. Therefore, dissecting the genetic loci controlling salt tolerance in rice for improving productivity is of utmost importance. Here, we evaluated six salt-tolerance-related traits of a biparental mapping population comprising 280 F2 rice individuals (Oryza sativa L.
View Article and Find Full Text PDFPlants (Basel)
December 2024
State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yield-related traits have higher heritability and lower genotype-by-environment interaction, making them more suitable for genetic studies in comparison with the yield per se. Different populations have been developed and employed in QTL mapping; however, the use of reciprocal SSSLs is limited. In this study, three kinds of bi-parental populations were used to investigate the stable and novel QTLs on six yield-related traits, i.
View Article and Find Full Text PDFJ Plant Physiol
January 2025
State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China. Electronic address:
Plant height determines lodging resistance and is closely linked to yield stability in wheat. In this study, we identified two semi-dwarf wheat mutants, designated je0370 and je0344, using the winter wheat cultivar Jing411 as the wild type (WT). Field experiments revealed that the plant height of these two mutants was significantly lower than that of the WT.
View Article and Find Full Text PDFPlant Genome
March 2025
Plant Breeding Graduate Program, Horticultural Sciences Department, University of Florida, IFAS Gulf Coast Research and Education Center, Wimauma, Florida, USA.
Genomic selection is a widely used quantitative method of determining the genetic value of an individual from genomic information and phenotypic data. In this study, we used a large, multi-year training population of 3248 individuals from the University of Florida strawberry (Fragaria × ananassa Duchesne) breeding program. We coupled this training population with a test population of 1460 individuals derived from 20 biparental families.
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