scholarly journals Genetic Variability among Rapeseed (B. napus L.) Genotypes for Seed-Yield and Seed-Quality Traits

2021 ◽  
Vol 38 (1) ◽  
Author(s):  
Amir Muhammad Khan ◽  
Laila Fayyaz ◽  
Raziuddin Raziuddin ◽  
Sajid Ali ◽  
Israr-ud- Din ◽  
...  
Agriculture ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 175
Author(s):  
Elissavet Ninou ◽  
Fokion Papathanasiou ◽  
Dimitrios N. Vlachostergios ◽  
Ioannis Mylonas ◽  
Anastasia Kargiotidou ◽  
...  

Landraces are a valuable source of genetic variability for breeders to develop high-yielding lentil varieties. Apart from productivity, simultaneous breeding for lentil seed nutritional quality is of paramount importance for wider lentil consumption. This work examined the indirect effect of single plant selection for high yield on important seed quality traits within three Greek lentil landraces (“Elassona” (EL), “Lefkada” (L), and “Evros” (EV)). The breeding methodology applied was proved to help either maintain or improve such characteristics in the high-yielding second-cycle lines (SLs) selected. Compared to the parental landrace “Elassona”, the high-yielding lines showed increased crude fiber by 30–110%; the line 2-SL-EL-6 had higher starch content by 3.9% and reduced cooking time by 6.67 min, while the 2-SL-EL-10 line had higher crude fiber by 73%. In the case of “Lefkada”, the high-yielding lines selected maintained the protein content present in the parental landrace, apart from the 2-SL-L-1 where a decrease by 5% was recorded; however, most of them showed increased crude fiber (5.59–7.52%) in comparison with the parental landrace (4.65%). Finally, in relation to the “Evros” parental landrace, the 2-SL-EV-3 and 2-SL-EV-4 showed higher crude fiber and reduced cooking time. This study provides evidence that proper management of genetic variability could improve productivity without compromising or sometimes improving some seed quality traits.


Euphytica ◽  
2010 ◽  
Vol 178 (2) ◽  
pp. 247-259 ◽  
Author(s):  
P. Haddadi ◽  
B. Yazdi-samadi ◽  
M. Berger ◽  
M. R. Naghavi ◽  
A. Calmon ◽  
...  

2018 ◽  
Vol 69 (12) ◽  
pp. 1264 ◽  
Author(s):  
Giuditta De Santis ◽  
Domenico Ronga ◽  
Federica Caradonia ◽  
Tiziana D Ambrosio ◽  
Jacopo Troisi ◽  
...  

Agronomic and seed-quality traits in 17 quinoa (Chenopodium quinoa Willd.) accessions grouped according to seed colour (i.e. ochre and yellow) were investigated and compared with the white commercial cultivar Regalona-Baer. These accessions were previously selected from a range of accessions of diverse origin and seed colour for their potential value in a breeding program for cultivars adapted to the southern Italian environment. Field trials were conducted over 2 years in Foggia, southern Italy. The aim was to identify elite genotypes suited to the Mediterranean Basin in terms of high yields and seed quality, by using principal component analysis (PCA) and hierarchical cluster analysis. The genotype and year effects were statistically significant for most parameters investigated, whereas the genotype×year interaction was significant only for seed quality. There were significant differences between the two seed-colour groups for most of the investigated traits, but not for total dry weight, days to flowering, and soluble and insoluble fibre. The major difference between the accessions and cv. Regalona-Baer was lower seed yield for the ochre seed group (30% lower, on average); this was associated with increased plant height (13% higher, on average), greater number of days to maturity (+6 days, on average) and shorter panicle length (21% shorter, on average). These results were observed for both growing seasons. The seed yield of the yellow seed group was similar to Regalona-Baer. Focusing on individual accessions, PCA indicated that accessions Q12, Q18 and Q26 were similar to Regalona-Baer for seed yield, 1000-seed weight, seed area and seed perimeter, and accession Q4 had the highest protein and kaempferol contents for both years. Seed area and perimeter, harvest index, and 1000-seed weight showed positive associations with seed yield, whereas days to flowering, days to maturity and quality traits were negatively correlated with seed yield for both years. Cluster analysis carried out on all of the agronomic and seed-quality traits did not show clear clustering of the accessions based on seed colour alone. The results of this study confirm that both the ochre and yellow quinoa seed groups included elite accessions that can be used directly in future selection programs for the development of high-yielding varieties well adapted to the Mediterranean environment.


Crop Science ◽  
2019 ◽  
Vol 59 (6) ◽  
pp. 2608-2620 ◽  
Author(s):  
Azam Nikzad ◽  
Berisso Kebede ◽  
Jaime Pinzon ◽  
Jani Bhavikkumar ◽  
Rong-Cai Yang ◽  
...  

Plants ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 719
Author(s):  
Mulusew Fikere ◽  
Denise M. Barbulescu ◽  
M. Michelle Malmberg ◽  
Pankaj Maharjan ◽  
Phillip A. Salisbury ◽  
...  

Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information. Here we report genetic correlations and genomic prediction accuracies in 22 agronomic, disease, and seed quality traits measured across multiple years (2015–2017) in replicated trials under rain-fed and irrigated conditions in Victoria, Australia. Two hundred and two spring canola lines were genotyped for 62,082 Single Nucleotide Polymorphisms (SNPs) using transcriptomic genotype-by-sequencing (GBSt). Traits were evaluated in single trait and bivariate genomic best linear unbiased prediction (GBLUP) models and cross-validation. GBLUP were also expanded to include genotype-by-environment G × E interactions. Genomic heritability varied from 0.31to 0.66. Genetic correlations were highly positive within traits across locations and years. Oil content was positively correlated with most agronomic traits. Strong, not previously documented, negative correlations were observed between average internal infection (a measure of blackleg disease) and arachidic and stearic acids. The genetic correlations between fatty acid traits followed the expected patterns based on oil biosynthesis pathways. Genomic prediction accuracy ranged from 0.29 for emergence count to 0.69 for seed yield. The incorporation of G × E translates into improved prediction accuracy by up to 6%. The genomic prediction accuracies achieved indicate that genomic selection is ready for application in canola breeding.


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