Experimental Hybrid Research Articles

Fast Induction of Hcc in Nash Rodent Model: A Simple Diet Associated with A Chemical Carcinogen

Introduction: Non-alcoholic fatty liver disease (NAFLD) have been increasing as an important cause of hepatocellular carcinoma (HCC). Experimental models are crucial to identify some pathways in the pathogenesis of HCC secondary to NAFLD. Objective: To systematize an experimental hybrid rodent model of HCC secondary to NAFLD. Material and Methods: Fourteen male Sprague-Dawley rats, weighting 350-500g, were fed with choline-deficient high-fat diet and diethylnitrosamine (DEN) in the drinking water for 16 weeks. The animals were separated into two groups: 7 received DEN in water (100mg/ml) associated to choline-deficient high-fat diet and 7 received only cholinedeficient high-fat diet. Histological and immunohistochemical analysis were also performed. Results: All animals had definitive diagnosis of NASH in both groups with hepatocellular ballooning, steatosis and inflammation. In the group that received high-fat choline deficient diet, only two animals had micro nodular cirrhosis. However, in DEN group with high-fat choline deficient diet, all animals had gross lesions, major nodulations and fibrosis, visible in macroscopy. Besides, according of Edmondson-Steiner classification, 71% of the animals that received DEN + Diet with positive CK19 and oval cells and developed some grades of dysplastic and tumoral lesions. Moreover, in this model we could identify beyond NASH progression, some tumor-development stages, which means this model shows different treatment and study targets. Conclusion: The model is accomplishable, promotes fast induction of HCC in NAFLD context without much complexity to be executed and will be implemented as an interesting model to study new drugs to HCC secondary a NASH.

Fast Induction of Hcc in Nash Rodent Model: A Simple Diet Associated with A Chemical Carcinogen

Introduction: Non-alcoholic fatty liver disease (NAFLD) have been increasing as an important cause of hepatocellular carcinoma (HCC). Experimental models are crucial to identify some pathways in the pathogenesis of HCC secondary to NAFLD. Objective: To systematize an experimental hybrid rodent model of HCC secondary to NAFLD. Material and Methods: Fourteen male Sprague-Dawley rats, weighting 350-500g, were fed with choline-deficient high-fat diet and diethylnitrosamine (DEN) in the drinking water for 16 weeks. The animals were separated into two groups: 7 received DEN in water (100mg/ml) associated to choline-deficient high-fat diet and 7 received only cholinedeficient high-fat diet. Histological and immunohistochemical analysis were also performed. Results: All animals had definitive diagnosis of NASH in both groups with hepatocellular ballooning, steatosis and inflammation. In the group that received high-fat choline deficient diet, only two animals had micro nodular cirrhosis. However, in DEN group with high-fat choline deficient diet, all animals had gross lesions, major nodulations and fibrosis, visible in macroscopy. Besides, according of Edmondson-Steiner classification, 71% of the animals that received DEN + Diet with positive CK19 and oval cells and developed some grades of dysplastic and tumoral lesions. Moreover, in this model we could identify beyond NASH progression, some tumor-development stages, which means this model shows different treatment and study targets. Conclusion: The model is accomplishable, promotes fast induction of HCC in NAFLD context without much complexity to be executed and will be implemented as an interesting model to study new drugs to HCC secondary a NASH.

Multi-trait selection of sweet sorghum (Sorghum bicolor (L.) Moench) genotypes for bioenergy production

The global demand for fuel from renewable sources has expanded rapidly in recent years and sweet sorghum is a crop with high potential for bioenergy production. This study aimed evaluate the performance of sweet sorghum hybrids belonging to the Embrapa Maize and Sorghum breeding program in different edaphoclimatic regions of Minas Gerais and to identify promising hybrids for bioenergy production, considering multiple traits of sweet sorghum. The study was conducted in two experimental areas of Embrapa Maize and Sorghum, in Sete Lagoas and Nova Porteirinha. A total of 36 sweet sorghum genotypes were evaluated, with 28 experimental hybrids and eight controls. The evaluated traits were: days from planting to flowering, plant height, fresh biomass yield, juice extraction, total soluble solids and tons of Brix per hectare. Analysis of variance, multiple comparison test, the Williams index of selection and the index suggested by Mulamba & Mock were performed. The results demonstrated the existence of genetic variability among the genotypes of sweet sorghum, demonstrating the possibility of selecting high-performance genotypes superior. The selection indexes employed were efficient in the selection of sweet sorghum hybrids with higher agroindustrial performance. It was possible to identify hybrids of sweet sorghum promising for bioenergy production.

Yield, Insect-Derived Ear Injury, and Aflatoxin Among Developmental and Commercial Maize Hybrids Adapted to the North American Subtropics.

The development of maize (Zea mays L.) hybrids that are adapted to subtropical areas of North America should consider yield potential under heat and moisture stress, and reduced susceptibility to insect herbivory and disease. To aid in this process, maize hybrids (43 developmental and seven non-Bt commercial hybrids) were evaluated for severity of ear injury to Helicoverpa zea (Boddie) and Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), susceptibility to Aspergillus flavus (Link) (Deuteromycetes: Moniliales), and yield. In subtropical Corpus Christi and College Station, TX, field experiments conducted over three years revealed significant differences among maize hybrids with the rank of the selected measurements differing across the two locations. When the location by maize hybrid interaction was not significant, variation across the main factors of maize hybrid genetics (in all cases) and location (in some cases) was detected. In 2014, a significant location by maize hybrid interaction in yield but not aflatoxin and ear injury were likely associated with differences in weather between locations. In Corpus Christi in 2015, a location by maize hybrid interaction was detected for ear injury only. Overall, experimental maize hybrids, containing the inbred line Tx777, displayed partial resistance to insect derived ear injury in both locations, and some hybrid testcrosses exhibited low rates of aflatoxin accumulation while maintaining relatively high yields. Tx777 was selected from populations originating in Bolivia and adapted to subtropical climates. The most promising hybrid testcrosses had lower ear injury and aflatoxin accumulation, and good yield under varying heat and moisture stress at the two subtropical maize growing areas in this study.

Analysis of preharvest meteorological conditions in relation to concentration of fumonisins in kernels of two genetically different maize hybrids

The effects of meteorological conditions around silking (Si) and physiological maturity (PM) on production of fumonisins (FB=FB1 + FB2) in maize kernels were analyzed. Kernel FB contents were determined on kernel samples collected from an experimental susceptible hybrid (n = 35) and a Bt commercial hybrid (n = 23) planted in several growing seasons/sites from the Argentinean Pampas. Considering the effect of genetic divergence of the two maize hybrids, total kernel FB concentrations (n = 52) binary coded, were predicted appropriately by weather-based logistic regression models but underestimated in some samples severely contaminated with FB. After removing these misclassified cases that registered maximum values of a drought-heat stress index (DI) calculated over 30 days around Si, and weather conditions (assessed by weather interactive components) conducive to infection/production of FB in PM, new logistic models were fitted. These new models improved their predictive ability indices. It was remarkable a model including the discrete genetic variable and the weather variable associated with the simultaneous occurrence of precipitation, temperature between 19.5–33 °C and relative humidity >70%, required for fungal infection in Si. Models that also included weather variables calculated in PM and associated with the kernel drying rate and fungal infection, did not result in better prediction outcomes. Opposite to the general trend, the occurrence of both severe heat-drought stress around Si and favorable weather around PM led to high kernel FB contents. We hypothesize that husk shortening by stress at silking might expose ears, promoting Fusarium verticillioides colonization/FB synthesis in late stages of kernel development and maturity, whenever favorable environmental conditions for both processes prevail.

Meiotic recombination in the offspring of Microbotryum hybrids and its impact on pathogenicity

BackgroundHybridization is a central mechanism in evolution, producing new species or introducing important genetic variation into existing species. In plant-pathogenic fungi, adaptation and specialization to exploit a host species are key determinants of evolutionary success. Here, we performed experimental crosses between the two pathogenic Microbotryum species, M. lychnidis-dioicae and M. silenes-acaulis that are specialized to different hosts. The resulting offspring were analyzed on phenotypic and genomic levels to describe genomic characteristics of hybrid offspring and genetic factors likely involved in host-specialization.ResultsGenomic analyses of interspecific fungal hybrids revealed that individuals were most viable if the majority of loci were inherited from one species. Interestingly, species-specific loci were strictly controlled by the species’ origin of the mating type locus. Moreover we detected signs of crossing over and chromosome duplications in the genomes of the analyzed hybrids. In Microbotryum, mitochondrial DNA was found to be uniparentally inherited from the a2 mating type. Genome comparison revealed that most gene families are shared and the majority of genes are conserved between the two species, indicating very similar biological features, including infection and pathogenicity processes. Moreover, we detected 211 candidate genes that were retained under host-driven selection of backcrossed lines. These genes and might therefore either play a crucial role in host specialization or be linked to genes that are essential for specialization.ConclusionThe combination of genome analyses with experimental selection and hybridization is a promising way to investigate host-pathogen interactions. This study manifests genetic factors of host specialization that are required for successful biotrophic infection of the post-zygotic stage, but also demonstrates the strong influence of intra-genomic conflicts or instabilities on the viability of hybrids in the haploid host-independent stage.

Diallel analysis of popcorn populations for yield, popping expansion and resistance to fall armyworm

ABSTRACT The objective of this study was to estimate the varietal and heterotic effects related to grain yield, popping expansion and resistance of popcorn against fall armyworm. Twelve open-pollinated varieties were intercrossed in a complete diallel mating scheme. The 66 experimental hybrids, together with their parents and controls Zapalote Chico, BRS 1030 and IAC 125, resulted in a total of 81 treatments, evaluated in an experiment in a 9x9 triple-square lattice design, in Maringa-PR and Araruna-PR. The data were analyzed according to the diallel model of Gardner and Eberhart (1966). The following traits were evaluated: grain yield (GR); mean plant height (PH) and insertion height of the highest ear in the stem (EI); silking (SIL); final plant density (FD) and popping expansion (PE). Variety PR 023 is indicated for intrapopulation improvement for grain yield. Regarding popping expansion, the results indicated cross SAM x UNB 2U C5 for recurrent reciprocal selection. In relation to resistance to fall armyworm, the varieties PARA 172, PA 091, PR 023, and SE 013 were selected for intrapopulation improvement. On the other hand, the crosses PARA 172 x BOZM 260, PA 091 x BOYA 462 and SAM x UNB 2U C5 can be indicated for interpopulation improvement.

Supplementing selection decisions in a hybrid wheat breeding program by using F2 yield as a proxy of F1 performance

Hybrid wheat breeding programs need to use chemical hybridizing agents for seed production due to its simplicity. Alternative methods such as cytoplasmic systems or hand pollinations restrict genetic combinations or seed production which limits testing experimental hybrids in large-scale multi-environment trials (METs). Using F2 seed instead of F1 can allow programs to test hybrid cross combinations in METs and the data can be used to supplement selection decisions at early stages of breeding cycle. To test this hypothesis, two METs consisting of 40 entries were conducted in 2017 and 2018 in six locations across Texas and Nebraska. The entries included hybrids at the F2 stage and their respective parents, selected from a previous preliminary F1 evaluation experiment. In six out of 10 test environments, a F2 hybrid had statistically significant higher yield than highest yielding parent. The F2 mid-parent heterosis ranged from − 20.97 to 27.52% in 2017 and − 9.90 to 9.17% in 2018. The F2 high-parent heterosis ranged from − 21.07 to 17.85% in 2017 and − 16.57 to 6.68% in 2018. The heterosis estimates of these cross combinations at F1 stage were extracted from previous large scale METs conducted on nine environments across Nebraska and Texas in 2016–2017. A comparison of F2 heterosis from this study and F1 heterosis from the previous study revealed that F2 heterosis was highly indicative of superior F1 performance. The results provide strong evidence for utility of F2 yield data in selecting superior F1 hybrids. In addition, a practical framework for using F2 performance to aid selecting F1’s in a hybrid wheat-breeding pipeline is provided.

Yield and Precocity Features of Okra Varieties in Piranhas–Alagoas State/Brazil

The aim of the current research is to assess the yield and precocity features of five okra varieties (Quiabel, IAC Midori, TPX-49, Valença and Santa Cruz) in Piranhas – Alagoas state/Brazil. The experiment was conducted in Alagoas Federal Institute, from February to May 2019. The experiment followed a randomized block design with four repetitions per treatment; 20 experimental plots, in total. The following variables were assessed after harvesting: fruit length; fruit yield until the 3rd harvest; yield until the 6th harvest; yield until the 9th harvest; yield until the 12th harvest; yield until the 15th harvest and yield until the 18th harvest. Commercial hybrid Quiabel and experimental hybrid TPX-49 had the best yield performance in all harvests: 8,282.98 kg.ha-1 and 6,882.78 kg.ha-1, respectively. Hybrid Quiabel was the most precocious variety in the initial harvests, followed by experimental hybrid TPX-49 and by free pollination Valença varieties. Variety Free pollination Santa Cruz was the least precocious, even though it was the most cultivated variety in the region.

Manifestation of heterosis in F1 confectionery sunflower hybrids

Purpose and objectives: to establish and study the manifestation of heterosis effects in new experimental confectionery sunflower hybrids by major valuable economic features.Materials and methods. Ten self-pollinated lines and 90 hybrid combinations created in compliance with the full diallel crossing design were studied. The following features were evaluated: seed yield, kernel output per hectare, 1000-seed weight, and huskiness. Analysis of variance and variational analysis were carried out by B.A. Dospekhov’s method, and the true heterosis value was calculated by D.S. Omarov’s method.Results and discussion/ The lines used in crossings differed in valuable economic features. Lines Kh72B and Kh2301V were distinguished as the most promising ones by yield capacity and 1000-seed weight for developing confectionery hybrids.Depending on the year conditions, 93.3-97.8% of the hybrid combinations showed the true heterosis inthe seed yield; 9.2-31.6% of the hybrid combinations − in the 1000 seed weight. The characteristics of parents capable of generating hybrid combinations with a strong manifestation of the true heterosis are described.The peculiarities of manifestation of the “1000-seed weight” and “huskiness” traits in some hybrid combinations require individual selection of parents to develop confectionery hybrids.Among the hybrid combinations derived from high oleic-line VKL-4, those that had a 1000 seed weight of over70 gwere identified.Conclusions. The patterns of the true heterosis manifestation have been established for the main characteristics used in the breeding of F1 confectionery sunflower hybrids. The self-pollinated parental lines and simple hybrid combinations that were the best in terms of several features have been singled out.

A Hybrid Machine Learning Model with Cost-function Based Outlier Removal and Its Application on Credit Rating

This paper establishes a methodology to build hybrid machine learning models, aiming to combine the power of different machine learning algorithms on different types of features and hypothesis. A generic cost-based outlier removal algorithm is introduced as a step of pre-process of training data. Using this methodology, an experimental hybrid machine learning model is implemented for a crediting problem, which combines three types of machine learning algorithms SVM, DT and LR. Different metrics of training time, recall, precision, F1 score, and AUC are evaluated and compared with the results from single model of single SVM, DT, and LR. The new hybrid models in general shows improvement in performance on multiple metrics. this study further demonstrated that one learning model may work well on certain type of variables but not as effectively on other variables. Well defined procedures can be followed to create hybrid models to combine the power of different learning models, which are superior in dealing with dataset with complicate feature selection. This methodology can be explored with other algorithms and applications.

Rapid generation of ecologically relevant behavioral novelty in experimental cichlid hybrids.

The East African cichlid radiations are characterized by repeated and rapid diversification into many distinct species with different ecological specializations and by a history of hybridization events between nonsister species. Such hybridization might provide important fuel for adaptive radiation. Interspecific hybrids can have extreme trait values or novel trait combinations and such transgressive phenotypes may allow some hybrids to explore ecological niches neither of the parental species could tap into. Here, we investigate the potential of second‐generation (F2) hybrids between two generalist cichlid species from Lake Malawi to exploit a resource neither parental species is specialized on: feeding by sifting sand. Some of the F2 hybrids phenotypically resembled fish of species that are specialized on sand sifting. We combined experimental behavioral and morphometric approaches to test whether the F2 hybrids are transgressive in both morphology and behavior related to sand sifting. We then performed a quantitative trait loci (QTL) analysis using RADseq markers to investigate the genetic architecture of morphological and behavioral traits. We show that transgression is present in several morphological traits, that novel trait combinations occur, and we observe transgressive trait values in sand sifting behavior in some of the F2 hybrids. Moreover, we find QTLs for morphology and for sand sifting behavior, suggesting the existence of some loci with moderate to large effects. We demonstrate that hybridization has the potential to rapidly generate novel and ecologically relevant phenotypes that may be suited to a niche neither of the parental species occupies. Interspecific hybridization may thereby contribute to the rapid generation of ecological diversity in cichlid radiations.

Adaptive Approach in Maize Breeding for the Urals Region

Middle and Southern Urals’ maize growing area is characterised by a wide range of edaphoclimatic conditions and by a variety of factors which may limit growth and development of maize. The factors may vary from severe warmth shortage in the North of the region to sharp aridity in the South. Consequently, fast-ripening maize breeding is dictated by limited heat resources. Depending on the growing area and the purpose of the crops (silage or corn), hybrids adapted for the regions must be characterised within the limits of 110 and 170 according to FAO classification. The purpose of the research is to measure ultra-early maize hybrids’ adaptability within forest-meadow and forest steppe zones of the Middle and the South Urals on maize’s growth stability and ripening, crop productivity and grain moisture at harvest. During the period from 1999 to 2019 experimental hybrid combinations and FAO 100-120 type industrial hybrids were assessed. These hybrids were created with the use of a local maize variety of Northern Caucasia, West Siberia and foothill areas of the Republic of Altay as a source material. Local maize varieties of Northern Caucasia, West Siberia and foothill areas of the Republic of Altay were used as initial material to create these hybrids. As a result of these three research phases early blossom maize varieties’ competitive advantages were discovered. These varieties’ grain formation and grain filling last within a favourable temperature background and have their biological ripeness before diurnal temperature achieves biological minimum required for maize growth. This advantage ensures minimum grain moisture at harvest and maximum genetic potentiality’s productivity implementation thanks to grain filling of full value. This advantage also assures high starch content and highly digestible energy concentration in dry matter. It has been established that ultra-early hybrids’ cultivation is the main condition to obtain high energy fodder in northern areas of the Urals despite of minor gross productivity loss. Commercial maize hybrids F1 Koubanskii 101 SV and Koubanskii 102 MV pass development stages from sprouts to ear corn blossom within the limits of 44 to 58 days depending on the vegetation period conditions. These hybrids’ cultivation in forest-steppe areas is of importance to produce dried and canned corn. Forest-meadow cultivation is of importance to obtain high grain canned products and high energy silage

An Adaptive Controller for Hybrid Fire Testing

To experimentally assess the fire resistance of civil structures, testing whole structures is very costly but the standard tests on individual structural elements can sometimes be too simplistic, regarding their boundary conditions. Hybrid fire testing is then a promising approach to overcome some of these limitations. In order to perform such tests, the existing procedures make use of estimated parameters from the tested structural element. Furthermore, the actuators system of the experimental set-up must include a direct displacement feedback control, leading to difficulties in the case of stiff elements. This paper will present a method to avoid these two constrains of the previous approaches. A new hybrid fire testing procedure is designed, permitting the control of the actuator system without explicit knowledge of the structural element position. Then an adaptive controller dedicated to this procedure will be described. A virtual environment has been developed in order to assess the behavior of the presented testing procedure and controller, through a virtual hybrid fire test. It is subject to assumed experimental imperfections such as noise, quantization and actuator non-linearities. A test case is performed within this framework, showing good agreement with the expected results. Finally, preliminary experimental hybrid test case performed at ambient temperature is presented.

Phenological shifts and genetic differentiation between sympatric populations of Sargassum horneri (Fucales, Phaeophyceae) in Japan

Marked seasonality, especially in sexual reproduction, is common among seaweed species along temperate coasts and increases the possibility of successful fertilization in outcrossing species. A phenological shift in reproductive seasons, therefore, could be an effective isolation barrier between conspecific seasonal populations, although its power has not been verified in algae.Sargassum horneri, a major component of seaweed beds along the temperate coast of Japan, is known for variability in its reproductive phenology. To understand the significance of phenological shift as an isolation barrier in seaweed species, phenological investigations ofS. horneriseasonal populations on the Sea of Japan coast of central Honshu, Japan, were combined with Bayesian cluster analysis based on a nuclear simple sequence repeat genotype. Results from these analyses concordantly suggest a genetic differentiation between the seasonal populations, although almost 20% of field-collected plants were estimated to be hybrids or have a hybrid origin based on results of Bayesian cluster analyses using experimental hybrids. A collapse of seasonal isolation was also detected at the site of the field investigation, and a high percentage of putative hybrids in the following generation at the site (41%) suggested significant seasonal isolation in the differentiation observed in this study.

Формирование продуктивности экспериментальных вертикальнолистных гибридов подсолнечника селекции ВНИИМК при различной площади питания растений

Формирование продуктивности экспериментальных вертикальнолистных гибридов подсолнечника селекции ВНИИМК при различной площади питания растений

Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach.

Experimental corn hybrids are created in plant breeding programs by crossing two parents, so-called inbred and tester, together. Identification of best parent combinations for crossing is challenging since the total number of possible cross combinations of parents is large and it is impractical to test all possible cross combinations due to limited resources of time and budget. In the 2020 Syngenta Crop Challenge, Syngenta released several large datasets that recorded the historical yield performances of around 4% of total cross combinations of 593 inbreds with 496 testers which were planted in 280 locations between 2016 and 2018 and asked participants to predict the yield performance of cross combinations of inbreds and testers that have not been planted based on the historical yield data collected from crossing other inbreds and testers. In this paper, we present a collaborative filtering method which is an ensemble of matrix factorization method and a neural network to solve this problem. Our computational results suggested that the proposed model significantly outperformed other models such as deep factorization machines (DeepFM), generalized matrix factorization (GMF), LASSO, random forest (RF), and neural networks. Presented method and results were produced within the 2020 Syngenta Crop Challenge.

Experimental Hybridization Studies Suggest That Pleiotropic Alleles Commonly Underlie Adaptive Divergence between Natural Populations.

The alleles used for adaptation can pleiotropically affect traits under stabilizing selection. The fixation of alleles with deleterious pleiotropic side effects causes compensatory alleles to be favored by selection. Such compensatory alleles might segregate in interpopulation hybrids, resulting in segregation variance for traits where parents have indistinguishable phenotypes. If adaptation typically involves pleiotropy and compensation, then the segregation variance for traits under stabilizing selection is expected to increase with the magnitude of adaptive phenotypic divergence between parents. This prediction has not been tested empirically, and I gathered data from experimental hybridization studies to evaluate it. I found that pairs of parents that are more phenotypically divergent beget hybrids with more segregation variance in traits for which the parents are statistically indistinguishable. This result suggests that adaptive divergence between pairs of natural populations proceeds via pleiotropy and compensation and that deleterious transgressive segregation variance accumulates systematically as populations diverge.

A qualitative study exploring the expectations of people living with type 1 diabetes regarding prospective use of a hybrid closed-loop system.

To identify the expectations of a diversified sample of informed adults with type 1 diabetes on their prospective use of a hybrid closed-loop system. Semi-structured interviews were conducted with 16 adults with type 1 diabetes who shared their expectations on an experimental hybrid closed-loop system after receiving information on its design, functioning and capability. The sample had equal representation of genders and diabetes management methods and was diversified according to age, education and occupation when possible. Qualitative content analysis of the interview transcripts with MaxQDA was used to identify expected benefits, expected inconveniences and concerns, expected improvements to design and functionalities, and interest and trust in the system. Participants expected benefits regarding diabetes management, clinical outcomes, psychosocial aspects of their lives, nutrition and meals, and physical activity. Participants expected inconveniences or shared concerns regarding wearability, costs and technical limitations. According to participants, improvements could be made to the system's physical appearance, practical convenience, functionalities, and software integration. Overall, 12 participants would use the system. While participants' trust could be immediate or grow over time, it could ultimately be conditional on the system's performance. Prospective users' general enthusiasm and trust foster the clinical and commercial success of hybrid closed-loop systems. However, poor user satisfaction caused by unrealistic expectations and plausible inconveniences and concerns may limit this success. Providing prospective users with comprehensive information while validating their understanding could mitigate unrealistic expectations. Improvements to design and coverage policies could favour uptake.

Selection of Experimental Hybrids of Strawberry Using Multivariate Analysis

The selection of superior strawberry genotypes is a complex process due to the high variability after hybridization that is caused by the octoploid nature and the heterozygosis, making the selection of multiple traits difficult. This study aimed to select strawberry hybrids with the potential for fresh consumption and/or processing by applying multivariate analysis to obtain traits of interest simultaneously. Hybrids were obtained from the crossing among seven commercial cultivars, defining a selection of 10% of them. The experimental design consisted of an augmented block design, with two commercial cultivars, Camarosa and Camino Real, as the controls. Different variables, including the number and average mass of commercial fruits, total fruit mass, pH, soluble solids (SS), titratable acidity (TA), SS/TA ratio, reducing sugars, pectin, ascorbic acid, phenolic compounds, and anthocyanin’s, were assessed. The selection of hybrids was based on the Mulamba and Mock rank-summation index, principal component analysis, and Ward’s hierarchical cluster analysis. The selection index was based on different weights being adopted for fresh market and processing. The assessed traits had high variability between hybrids. The highest selection gains were obtained for production traits, but the different weight assignment resulted in different classifications of hybrids for both fresh consumption and processing. Most of the hybrids selected by the index remained in the same group in the principal component and hierarchical cluster analyses, which indicates that multivariate analysis is a valuable tool for assisting in the selection of superior hybrids in the strawberry crop.