Winter squash fruits (Cucurbita moschata D.) are among the best sources of vitamin A precursors and constitute sources of bioactive components such as phenolic compounds and flavonoids. Approximately 70% of C. moschata seed oil is made up of unsaturated fatty acids, with high levels of monounsaturated fatty acids and components such as vitamin E and carotenoids, which represent a promising nutritional aspect in the production of this vegetable. C. moschata germplasm expresses high genetic variability, especially in Brazil. We assessed 91 C. moschata accessions, from different regions of Brazil, and maintained at the Federal University of Viçosa (UFV) Vegetable Germplasm Bank, to identify early-flowering accessions with high levels of carotenoids in the fruit pulp and high yields of seed and seed oil. Results showed that the accessions have high variability in the number and mass of seeds per fruit, number of accumulated degree-days for flowering, total carotenoid content, and fruit productivity, which allowed selection for considerable gains in these characteristics. Analysis of the correlation between these characteristics provided information that will assist in selection to improve this crop. Cluster analysis resulted in the formation of 16 groups, confirming the variability of the accessions. Per se analysis identified accessions BGH-6749, BGH-5639, and BGH-219 as those with the earliest flowering. Accessions BGH-5455A and BGH-5598A had the highest carotenoid content, with averages greater than 170.00 μg g-1 of fresh mass. With a productivity of 0.13 t ha-1 , accessions BGH-5485A, BGH-4610A, and BGH-5472A were the most promising for seed oil production. These last two accessions corresponded to those with higher seed productivity, averaging 0.58 and 0.54 t ha-1 , respectively. This study confirms the high potential of this germplasm for use in breeding for promotion of earlier flowering and increase in total content of fruit pulp carotenoids and in seed and seed oil productivity.
This work had as objective the morpho-agronomic characterization of germplasm of cassava (Manhiot esculenta Crantz) from the Brazilian Region Middle North and the selection of genotypes. The germplasm collection was carried out in autochthonous fields. 10 genotypes of which, 8 were ethnovarieties and 2 modern varieties (BRS Dourada and BRS Gema de Ovo), were collected. A completely randomized blocks design was used and the experiment was carried out in January of 2013 in Chapadinha-MA, Brazil. The morphological and agronomical characterizations were carried out at eight months after planting and at the harvesting time, respectively. The frequency of genotypes in each descriptor class and the entropy level for each descriptor were calculated. There was high phenotypic difference in the germplasm for most of the characters evaluated. Lowest entropy levels corresponded to the descriptors sinuosity of foliar lobe, margins of stipules, pubescence of apical bud, growing habit and color of stem epidermis. Highest entropy and consequently higher variability were noticed in petiole color, color of stem cortex, plant kind and peduncle presence. The genotypes Rampa and Turiaçu have higher productive and marketing value, thus are excellent alternatives for adoption and cultivation in the Middle North Region. The work proved to be a prominent approach in the screening and selection of promising and contrasting cassava genotypes. Cassava genetic resources occurring in the Brazilian Middle North Region represent a valuable resource in breeding programs of this crop.
Pumpkin (Cucurbita moschata Duchesne) has high food importance due to the high nutritional value of its fruit and seeds. Its seed oil is composed of ∼70% unsaturated fatty acids, and its production can be improved by increasing the number of plants per area. Pumpkin plants with reduced growth habits can be grown in shorter spacing and produce smaller fruits, but have a greater quantity of fruits per area. This study aimed to select from F2, BC1:1, and BC1:2 populations pumpkin genotypes with shorter internodes and higher seed productivity for oil production using the factor analysis and ideotype design (FAI‐BLUP) selection index. An augmented block design (ABD) was used with four replications. The traditional model of ABD analysis was compared with the spatial model to verify the presence of errors in the local and global trends in the experimental area. There was a significant difference for all traits evaluated in both the ABD and spatial models. Based on the Akaike information criterion, the model with the best fit for all characteristics was the ABD, which was efficient in guaranteeing the independence of the residues and the absence of errors in local and global trends. In general, the characteristics expressed high values of individual heritability and accuracy. Three common factors explained the seven characteristics studied, presenting a variability of 70.98%. Six of the seven characteristics showed desirable gains of up to 63.85%. The FAI‐BLUP index allowed the selection of superior pumpkin genotypes with a smaller size and higher seed productivity for oil production.
Cucurbita moschata D. seed oil contains approximately 75% unsaturated fatty acids, with high levels of monounsaturated fatty acids and antioxidant compounds such as vitamin E and carotenoid, constituting a promising food in nutritional terms. Associated to this, the Brazilian germplasm of C. moschata exhibits remarkable variability, representing an important source for the genetic breeding of this vegetable and other cucurbits. In this context, the present study evaluated the productivity and profile of the seed oil of 91 C. moschata accessions from different regions of Brazil and maintained in the Vegetable Germplasm Bank of the Federal University of Viçosa (BGH-UFV). A field experiment was conducted between January and July 2016. The tested C. moschata accessions showed high genetic variability in terms of characteristics related to seed oil productivity (SOP), such as the mass of seeds per fruit and productivity of seeds, providing predicted selection gains of 29.39 g and 0.26 t ha -1 , respectively. Based on the phenotypic and genotypic correlations, greater SOP can be achieved while maintaining high oleic acid content and low linoleic acid content, providing oil of better nutritional and chemical quality. In variability analysis, the accessions were clustered into five groups, which presented different averages for SOP and fatty acid content of seed oil; approach that will guide the use of appropriate germplasm in programs aimed at genetic breeding for SOP and seed oil profile. Per se analysis identified BGH-4610, BGH-5485A, BGH-6590, BGH-5556A, BGH-5472A, and BGH-5544A as the most promising accessions in terms of SOP, with average (m+g) of approximately 0.20 t ha -1 . The most promising accessions for higher oleic acid content of seed oil were BGH-5456A, BGH-3333A, BGH-5361A, BGH-5472A, BGH-5544A, BGH-5453A, and BGH-1749, with average (m+g) of approximately 30%, and almost all of these accessions were also the most promising in terms of lower linoleic acid content of seed oil, with average (m+g) of approximately 45%. Overall, part of the C. moschata accessions evaluated in the present study can serve as a promising resource in genetic breeding programs for SOP and fatty acid profile, aiming at the production of oil with better nutritional and physicochemical quality.
The analysis of genetic divergence in plant germplasm based on a set of quantitative data has revealed a low association to the divergence estimated from multicategorical data and vice versa. On the other hand, strategies involving the integration of quantitative and multicategorical information may provide more accurate estimations. Thus, this study aimed to estimate the genetic divergence in the germplasm of cassava based on the integration of quantitative and multicategorical data, targeting a greater comprehensiveness and accuracy in the estimation. Data from 10 genotypes of M. esculenta, characterized by 20 quantitative and 24 multicategorical characteristics was used in this work. The genotypes were collected from autochthonous fields from five different microregions of Brazil and evaluated in a completely randomized block design experiment with four replications. First, the analysis of genetic divergence was performed based on the distances individually obtained from the quantitative and multicategorical information. For the data integration, three strategies were adopted, the Gower's algorithm, the transformation of quantitative data by the equitable division of its amplitude into several classes, and the sum of the distance matrices, obtained from quantitative and multicategorical data. The estimates of genetic divergence from the quantitative data had a low association with that expected from the multicategorical data and vice versa. The transformation of data and the algorithm of Gower were not efficient, which resulted in low correlations with the matrices of distances obtained from the original data. The sum of matrices consisted on the strategy of higher efficiency and provided a higher comprehensiveness and accuracy in the analysis o f genetic divergence in the germplasm of cassava.
Winter squash (Cucurbita moschata) has great importance as a food. Brazil has a wide genetic variability of squash; most of this is conserved in germplasm banks. The Vegetable Germplasm Bank of the Federal University of Viçosa (BGH-UFV) includes more than 350 accessions of squash; however, this germplasm is still little used. Characterization of accessions requires time, labor, and financial resources. Image-based, high-quality and large-scale phenotyping is a promising alternative tool. We propose digital phenotyping of C. moschata germplasm fruit. To achieve this, we evaluated 466 fruits from 148 accessions of squash from BGH-UFV and four checks. After longitudinal cutting, the fruits were evaluated on the basis of their length, diameter, and internal cavity dimensions. An image of every fruit was also obtained. Digital measurements were made using the software FENOM. The comparison between manual and digital forms of fruit evaluation was carried out with the software GENES. The comparisons were based on the analyses of simple linear regression, bias, the coefficient of Pearson correlation, the index of concordance, the index of performance, the efficiency of the method, the absolute average error, and the absolute maximum error. The evaluations based on images had high concordance (>0.93), almost perfect correlation (>0.99), and a Genetics and Molecular Research 19 (3): gmr18646 ©FUNPEC-RP www.funpecrp.com.br Digital phenotyping of fruits 2 performance classified as excellent (>0.92), in the evaluation of all the descriptors, when compared to manual measurements. We conclude that phenotyping of winter squash fruits based on digital images is promising for the characterization of C. moschata accessions, resulting in an efficient evaluation.
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