In silico genome-wide discovery and characterization of SSRs and SNPs in powdery mildew disease resistant and susceptible cultivated and wild Helianthus species

et al. 2023

IJPSS

The current investigation was planned to characterize the sunflower accessions based on DUS descriptors and to determine the level of genetic variability for sunflower genotypes. Thirty-three sunflower genotypes including checks were morphologically characterized using Protection of Plant Varieties and Farmers' Rights Authority (PPV& FRA) and other descriptors during rabi2021-22 at the department of Genetics and Plant Breeding, ITM University, Gwalior, Madhya Pradesh, India. The analysis of variance revealed significant differences among the sunflower genotypes, suggesting genotypes had enough variability. Various morphological characters were studies which showed good extent of variation among genotypes. Large variation was recorded for strip colour and for ray floret colour differentiation which can utilize to identify the genotype at seed stage and at flowering stage and may serve as morphological markers to identify the accessions. Genotypes with black colored seedviz., GMU-837, GMU-934, GMU-78, and GMU-55 can be utilized for the development of breeding material and populations. All of the characteristics under study recorded larger phenotypic coefficient of variation (PCV) than genotypic coefficient of variation (GCV), which implies that environmental influence was more in their expression. High heritability along with genetic advance was observed for by plant height and days to maturity, which indicates selection of these traits at early generation would be effective.

Section: Introductionmentioning

confidence: 99%

Characterization and Evaluation of New Sunflower Genotypes

Kumar

Singh

et al. 2023

IJPSS

WAASB-based stability analysis and validation of sources resistant to Plasmopara halstedii race-100 from the sunflower working germplasm for the semiarid regions of India

Jadhav

Sujatha

et al. 2023

Genet Resour Crop Evol

Self Cite

In sun ower, stable performance in a semi-arid region is an essential factor for obtaining high and stable seed as well as oil yield. Therefore, efforts were made to evaluate 28 sun ower genotypes including USDA, USA, France collection and germplasm maintained at ICAR-IIOR, Hyderabad under four semi-arid locations of India during 2021-2022. Screening of the selected genotypes for Sun ower Downy Mildew (SDM) which is important disease and cause losses upto 100% incited by Plasmopara halstedii race-100 in India was undertaken during previous years (2017-20) and validation experiment was conducted during 2021. WAASB (Weighted Average of Absolute Scores) and Multi-Trait Stability Index (MTSI) adopted for stability analysis. The analysis of variance from AMMI showed highly signi cant effects of the climate, genotypes, and their interaction. Only 56.13% which is lesser than 60% of total GEI variation was explained by rst two PCs indicating the complexity of GEI and suitability of WAASB statistics. Based on WAASB study most stable genotypes identi ed for yield were GMU-494, LTRR-341, EC-601901 and GMU-481and GMU-494 for oil content. Based on WAASBY scores most stable genotype identi ed for yield were GMU-770 (96.76) and EC-178168-2 (96.53) and for oil content , EC-601901(91.30). Simultaneous selection index MTSI has been employed for selecting high yielding genotypes with medium to high oil content. MTSI index identi ed ideal genotype EC-198078 which is closer to hypothetical ideotype with least MTSI index coupled with high WAASBY score and resistant reaction to SDM. Population structure based on 20 SSR markers depicted the change of Delta (k) value (k = 4) which suggests the four populations within the collection of 28 sun ower germplasm accessions. Based on multiple year screening we have identi ed and validated 10 resistance sources and three new sources of resistance to SDM for semi-arid region. Identi ed stable genotypes coupled with SDM resistance could be useful for the development of inbreds or can be used to develop superior populations in sun ower.

WAASB-based stability analysis and validation of resistance sources to Plasmopara halstedii race-100 from the sunflower working germplasm for the semi-arid regions of India

Jadhav

Sujatha

et al. 2023

Preprint

Self Cite

In sunflower, stable performance in a semi-arid region is an essential factor for obtaining high and stable seed as well as oil yield. Therefore, efforts were made to evaluate 28 sunflower genotypes including USDA, USA, France collection and germplasm maintained at ICAR-IIOR, Hyderabad under four semi-arid locations of India during 2021–2022. Screening of the selected genotypes for Sunflower Downy Mildew (SDM) which is important disease and cause losses upto 100% incited by Plasmopara halstedii race-100 in India was undertaken during previous years (2017-20) and validation experiment was conducted during 2021. WAASB (Weighted Average of Absolute Scores) and Multi-Trait Stability Index (MTSI) adopted for stability analysis. The analysis of variance from AMMI showed highly significant effects of the climate, genotypes, and their interaction. Only 56.13% which is lesser than 60% of total GEI variation was explained by first two PCs indicating the complexity of GEI and suitability of WAASB statistics. Based on WAASB study most stable genotypes identified for yield were GMU-494, LTRR-341, EC-601901 and GMU-481and GMU-494 for oil content. Based on WAASBY scores most stable genotype identified for yield were GMU-770 (96.76) and EC-178168-2 (96.53) and for oil content GMU-481(93.64), EC-601901(91.30). Simultaneous selection index MTSI has been employed for selecting high yielding genotypes with medium to high oil content. MTSI index identified ideal genotype EC-198078 which is closer to hypothetical ideotype with least MTSI index coupled with high WAASBY score and resistant reaction to SDM. Population structure based on 20 SSR markers depicted the change of Delta (k) value (k = 4) which suggests the four populations within the collection of 28 sunflower germplasm accessions. Based on multiple year screening we have identified and validated 10 resistance sources and three new sources of resistance to SDM for semi-arid region. Identified stable genotypes coupled with SDM resistance could be useful for the development of inbreds or can be used to develop superior populations in sunflower.