Sweet corn breeding programs, like field corn, focus on the development of elite inbred lines to produce commercial hybrids. For this reason, genomic selection models can help in silico prediction hybrid crosses from lines, which is hypothesized improve test cross scheme, leading higher genetic gain a program. This study aimed explore potential implementing sweet program through within-site across-year and across-site framework. A total 506 hybrids were evaluated six environments...

ABSTRACT: The genotype × environment (G×E) interaction plays an essential role in phenotypic expression and can lead to difficulties genetic selection. Thus, the present study aimed estimate parameters compare different selection strategies context of mixed models for soybean breeding. For this, data referring evaluation 30 genotypes 10 environments, regarding grain yield trait, were used. variance components estimated through restricted maximum likelihood (REML) genotypic values predicted...

Multiple-trait model tends to be the best alternative for analysis of repeated measures, since they consider genetic and residual correlations between measures improve selective accuracy. Thus, objective this study was propose a multiple-trait Bayesian in Jatropha curcas breeding bioenergy. To end, grain yield trait 730 individuals 73 half-sib families evaluated over six harvests. The Markov Chain Monte Carlo algorithm used estimate parameters values. Genetic correlation pairs were estimated...

Abstract New technologies have been developed over the last few years aiming to support breeding pipeline optimization for long‐term genetic gains. However, implementation of these new tools and their impact on any program's budget are not well studied. Here, we compare multiple strategies accounting genomic selection high‐throughput phenotyping (HTP) by means hybrid gain cost‐effectiveness. We simulated a crop program through coalescent theory. compared two parental updates four pipelines:...

Genomic selection and doubled haploids hold significant potential to enhance genetic gains shorten breeding cycles across various crops. Here, we utilized stochastic simulations investigate the best strategies for optimize a sweet corn program. We assessed effects of incorporating varying proportions old new parents into crossing block (3:1, 1:1, 1:3, 0:1 ratio, representing different degrees parental substitution), as well implementation genomic in two distinct pipelines: one calibrated...

We present a synthesis of anuran diversity and distribution in the Mantiqueira Mountain Range, one largest mountain ranges occurring within Atlantic Forest biome Brazil. assembled species list based on examination 16,893 specimens housed 10 herpetological collections data compiled from literature. developed minimum convex polygons for each to determine their degree association with range, assessed patterns considering presence–absence nearby geomorphological units. The northern southern...

To increase the number of cytogenetic characters used in Ololygon tripui systematics, we applied some techniques such as Giemsa, C- and NOR-banding, fluorescence situ hybridization (FISH) with 18S rDNA repetitive microsatellite DNA probes to study four populations from Minas Gerais State (southeastern Brazil). All showed 2n = 24 FN 48, chromosomal formula 8m + 10sm 6st. Nucleolar organizing regions (NORs) were located on chromosome pair 6 all populations, although Tripuí locality additional...

Combining longitudinal data and statistical models from perennial crops enabled us to estimate the optimum number of measures (harvests), implying accurate discrimination superior genotypes in those crops. Herein, goal this study was determine harvests based on yield traits recommend a graft/rootstock combination (GRC) for Citrus latifolia Tanaka. Twenty-four GRCs 'Tahiti' acid lime were evaluated July 2017 August 2018 fruit per plant (FYP), fruits (NFP), (LFD) transversal diameter (TFD)....

We present a synthesis of anuran diversity and distribution in the Mantiqueira Mountain Range, one largest mountain ranges occurring within Atlantic Forest biome Brazil. assembled species list based on examination 16,893 specimens housed 10 herpetological collections data compiled from literature. developed minimum convex polygons for each to determine their degree association with range, assessed patterns considering presence–absence nearby geomorphological units. The northern southern...

In cotton crops, the seed yield significantly contributes with success of any cultivar. However, other traits are considered when an ideotype is pointed out in selection, such as fiber quality traits. The aim this study was to applied genotype by yield*trait (GYT) biplot a multi-environment trial data genotypes and selected best genotypes. For end, thirteen from nineteen trials were assessed. Seven evaluated [cotton (SY), percentage (FP), length (FL), uniformity (FU), short index (SFI),...

An efficient and informative statistical method to analyze genotype-by-environment interaction (GxE) is needed in maize breeding programs. Thus, the objective of this study was compare effectiveness multiple-trait models (MTM), random regression (RRM), compound symmetry (CSM) analysis multi-environment trials (MET) breeding. For this, a data set with 84 hybrids evaluated across four environments for trait grain yield (GY) used. Variance components were estimated by restricted maximum...

Spatial trends represent an obstacle to genetic evaluation in maize breeding. analyses can correct spatial trends, which allow for increase selective accuracy. The objective of this study was compare the (SPA) and non-spatial (NSPA) models diallel multi-environment trial trials consisted 78 inter-populational hybrids, tested four environments (E1, E2, E3, E4), with three replications, under a randomized complete block design. SPA accounted autocorrelation among rows columns by inclusion...

The present study aimed to evaluate the applicability and efficiency of FAI-BLUP index in genetic selection maize hybrids, using 84 hybrids that were evaluated for cycle, morphology, yield traits four environments. Models accounting homogeneous heterogeneous residual variances tested, variance components estimated maximum likelihood. Genotypic values predicted by best linear unbiased prediction, factor analysis was applied group traits. used based on ideotype design. Three factors explained...

Most studies on genomic selection in plant breeding compare different statistical methods of univariate approach. However, multi-trait methodologies should be considered since they allow the simultaneous superior genotypes several economic traits. Here, aims were to accuracy and efficiency multivariate partial least square (MPLS) method compared with random regression best linear unbiased predictor (rrBLUP), Bayesian Lasso (Blasso) (UPLS) develop indexes efficient for identification...

Abstract Selecting parents and crosses is a critical step for successful breeding program. The ability to design with high means that will maintain genetic variation in the population goal long‐term applications. Herein, we describe new computational package mate allocation SimpleMating flexible open‐source R originally designed predict optimize crops different reproductive systems designs. Divided into modules, first estimates cross performance (criterion), such as mid‐parental value, total...

Abstract Reaction norms fitted through random regression models (RRM) have been widely used in animal and plant breeding for analyses of genotype × environment (G E) interaction. However, annual crops, they remain unexplored. Thus, this study aimed to evaluate the applicability efficiency RRM Legendre polynomials as a tool recommend cotton ( Gossypium hirsutum L.) genotypes. To end, data set with 12 genotypes evaluated 10 environments fiber length (FL) fineness was used. The restricted...

Random regression models (RRM) are a powerful tool to evaluate genotypic plasticity over time. However, date, RRM remains unexplored for the analysis of repeated measures in Jatropha curcas breeding. Thus, present work aimed apply random technique and study its possibilities To this end, grain yield (GY) trait 730 individuals 73 half-sib families was evaluated six years. Variance components were estimated by restricted maximum likelihood, genetic values predicted best linear unbiased...

ABSTRACT: In multi-environment trials (MET), large networks are assessed for results improvement. However, genotype by environment interaction plays an important role in the selection of most adaptable and stable genotypes MET framework. this study, we tested different residual variances measure gain cotton accounting adaptability stability, simultaneously. Twelve were bred 10 environments, fiber length (FL), strength (FS), micronaire (MIC), yield (FY) determined. Model variance structures...