Author
Felipe Lopes da Silva
Other affiliations: University of the Fraser Valley, Universidade Federal de Lavras
Bio: Felipe Lopes da Silva is an academic researcher from Universidade Federal de Viçosa. The author has contributed to research in topics: Selection (genetic algorithm) & Coffea canephora. The author has an hindex of 12, co-authored 46 publications receiving 424 citations. Previous affiliations of Felipe Lopes da Silva include University of the Fraser Valley & Universidade Federal de Lavras.
Papers
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TL;DR: Aiming at the evaluation of the gene action predominant in sugarcane characters of economic importance and the identification of crossing with favorable genetic potential to the development of new cultivars, eight genotypes were evaluated according to the unbalanced diallel cross scheme.
Abstract: Aiming at the evaluation of the gene action predominant in sugarcane characters of economic importance and the identification of crossing with favorable genetic potential to the development of new cultivars, eight genotypes were evaluated according to the unbalanced diallel cross scheme. Progenies obtained from 44 crosses were evaluated on a 7 x 7 lattice experimental design with three replications at the Centro de Pesquisa e Melhoramento da Cana-de-acucar (CECA) of the Universidade Federal de Vicosa. The following characters were studied: juice Brix %, stalk number, average stalk weight, tons of stalks per hectare, tons of Brix per hectare and flowering percent. The results emphasized the importance of either the additive and the non-additive genetic effects in the expression of those characteristics. The genotypes SP82-6108 and IAC86-2210 showed potential for increasing the sugarcane productivity, that is also valid for the following crossing combinations: SP82-6108 x SP88-754, SP82-6108 x SP87-365, SP81-1763 x SP82-6108, IAC86-2210 x SP88-754, IAC86-2210 x SP86-96, IAC86-2210 x SP81-1763, SP88-819 x SP87-365, SP84-2029 x SP87-365 and SP88-754 x SP87-365.
42 citations
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TL;DR: This study aimed to compare the efficiency of three selection indexes constructed from the estimated variance components and predicted genotypic values by the REML/BLUP procedure, on three first clonal populations in sugarcane.
Abstract: This study aimed to compare the efficiency of three selection indexes constructed from the estimated variance components and predicted genotypic values by the REML/BLUP procedure, on three first clonal populations in sugarcane. The populations were evaluated at the experimental area of the Sugarcane Research and Breeding Center – CECA of the Federal University of Vicosa, using the augmented block design. The traits number of stems per meter (NSM), average stem mass (ASW), total soluble solids content (BRIX) and production of BRIX per hectare (TBH) were evaluated in the cane plant and sugar cane ratoon-cycle in the A and B populations and the cane plant in the C population. The first three traits were used to construct the following selection indexes: classic index, multiplicative index and the index based on sum of ranks. The genetic-statistics analyses were carried by the GENES and Selegen - REM/BLUP programs. The multiplicative index showed higher selection efficiency as it presented larger coefficient of coincidence of genotypes selected with the selection strategy for TBH, larger direct gains from selection and larger indirect gains for TBH. However, the rate of selection efficiency of a certain index should be considered as an intrinsic characteristic of the studied population.
41 citations
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TL;DR: The moderately high estimates of repeatability for TSH and TBH and the high rates of coincidences of the families selected in both plant-cane and first rattoon indicate that selection of families using repeated measures across the first two harvests combined with individual clone selection at the rattoon stage may be efficient in sugarcane breeding programs, increasing the efficiency of obtaining new cultivars.
Abstract: This study was designed to estimate the repeatability coefficient of traits of the plant-cane and first rattoon in a large number of full-sib sugarcane families and to select the superior families based on their predicted genotypic values. The population used in this study consisted of 190 families, and crossing was performed at the Federal University of Alagoas, in Murici, Alagoas, Brazil, in 2007. Five experiments, each with 22 families, took place at the Centro de Pesquisa e Melhoramento da Cana-de-Acucar (CECA), in Oratorios, Minas Gerais, while four experiments, each with 20 families, took place at the Volta Grande mill (VGM), in Conceicao das Alagoas, Minas Gerais. Each experiment took the form of a randomized complete block design with six replications. The following traits were determined from the plant-cane and first rattoon: percentage of soluble solids w/w in the juice (Brix), tons of stalks per hectare (TSH) and tons of brix per hectare (TBH). Statistical analyses were performed using the mixed model methodology. Variance components were estimated by restricted maximum likelihood (REML) and the genotypic values of families were predicted by best linear unbiased prediction (BLUP). The moderately high estimates of repeatability for TSH and TBH and the high rates of coincidences of the families selected in both plant-cane and first rattoon indicate that selection of families using repeated measures across the first two harvests combined with individual clone selection at the rattoon stage may be efficient in sugarcane breeding programs, increasing the efficiency of obtaining new cultivars.
34 citations
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TL;DR: The results indicated that the variables MSW and SN can be used for indirect selection of high yielding families, since they showed positive and high direct effects on TSH and mean stalk weight.
Abstract: Phenotypic and genetic path analyses were carried out in order to quantify direct and indirect effects of production components on the variable ton of stalks per hectare (TSH) and mean stalk weight (MSW). Seventeen hybrid families were evaluated on a randomized complete block design with four replicates, at the Centro de Pesquisa e Melhoramento da Cana-de-Acucar - CECA of the Universidade Federal de Vicosa, Minas Gerais State. Planting was carried out in January 2000. The following variables were defined as production components: stalk height (SH), stalk diameter (SD) and stalk number (SN). The results indicated that the variables MSW and SN can be used for indirect selection of high yielding families, since they showed positive and high direct effects on TSH. Despite SH and SD showed high correlation with MSW, only SD showed high direct genetic effect on MSW, demonstrating the importance of this variable for indirect selection of families with higher mean stalk weight.
33 citations
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TL;DR: Examination of the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny found that MTME led to greater predicted gains from selection.
Abstract: At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is performed based on two or more genetically correlated traits and these are analyzed individually, selection bias may arise. Under these conditions, considering the correlation structure between the evaluated traits may provide more-accurate genetic estimates for the evaluated parameters, even under environmental influences. The present study was thus developed to examine the efficiency and applicability of multi-trait multi-environment (MTME) models by the residual maximum likelihood (REML/BLUP) and Bayesian approaches in the genetic selection of segregating soybean progeny. The study involved data pertaining to 203 soybean F2:4 progeny assessed in two environments for the following traits: number of days to maturity (DM), 100-seed weight (SW), and average seed yield per plot (SY). Variance components and genetic and non-genetic parameters were estimated via the REML/BLUP and Bayesian methods. The variance components estimated and the breeding values and genetic gains predicted with selection through the Bayesian procedure were similar to those obtained by REML/BLUP. The frequentist and Bayesian MTME models provided higher estimates of broad-sense heritability per plot (or heritability of total effects of progeny; [Formula: see text]) and mean accuracy of progeny than their respective single-trait versions. Bayesian analysis provided the credibility intervals for the estimates of [Formula: see text]. Therefore, MTME led to greater predicted gains from selection. On this basis, this procedure can be efficiently applied in the genetic selection of segregating soybean progeny.
32 citations
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TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to
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1,532 citations
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TL;DR: The software Selegen-REML/BLUP uses mixed models, and was developed to optimize the routine of plant breeding programs, and is friendly, easy to use and interpret, and allows dealing efficiently with most of the situations in plant breeding.
Abstract: The software Selegen-REML/BLUP uses mixed models, and was developed to optimize the routine of plant breeding programs. It addresses the following plants categories: allogamous, automagous, of mixed mating system, and of clonal propagation. It considers several experimental designs, mating designs, genotype x environment interaction, experiments repeated over sites, repeated measures, progenies belonging to several populations, among other factors. The software adjusts effects, estimates variance components, genetic additive, dominance and genotypic values of individuals, genetic gain with selection, effective population size, and other parameters of interest to plant breeding. It allows testing the significance of the effects by means of likelihood ratio test (LRT) and analysis of deviance. It addresses continuous variables (linear models) and categorical variables (generalized linear models). Selegen-REML/ BLUP is friendly, easy to use and interpret, and allows dealing efficiently with most of the situations in plant breeding. It is free and available at http://www. det.ufv.br/ppestbio/corpo_docente.php under the author?s name.
258 citations
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TL;DR: This review focuses on salinity and HT stresses on mungbean grown as a fallow crop and/or a relay crop in cereal cropping systems, and highlights gaps that need to be bridged through future mung bean research.
Abstract: Biotic and abiotic constraints seriously affect the productivity of agriculture worldwide. The widely acknowledged benefits of legumes in cropping systems—biological nitrogen fixation, improving soil physical conditions and diversification of cereal-based agroecologies—are needed now more than ever. Legume production is affected by unfavorable environmental conditions, especially soil salinity and high temperatures. Among legumes, mungbean has acceptable intrinsic tolerance mechanisms, but many agro-physiological characteristics of the Vigna species remain to be explored. Mungbean has the distinct advantage of being a short duration crop, and it can grow in a range of soils and environments, as a solo or as a relay crop. This review focuses on salinity and high temperature stresses on mungbean grown as a fallow crop (mungbean-rice-wheat to replace fallow-rice-wheat) and/or a relay crop in cereal cropping systems. Salinity tolerance involves a complex of responses at the molecular, physiological, and whole plant levels. Under high temperatures, adaptation of physiological and biochemical processes gradually may lead to the development of heat tolerance; the plant acclimatizes or adapts to heat stress. At the field level, managing or manipulating cultural practices can mitigate adverse effects of salinity and high temperature. Greater understanding of the physiological and biochemical mechanisms regulating these two stresses will contribute to an evolving profile of the genes, proteins, and metabolites responsible for mungbean survival. We focus on abiotic stresses in legumes in general and mungbean in particular, and highlight gaps that need to be bridged through future mungbean research. Recent findings largely from physiological and biochemical fronts are examined, along with a few agronomic and farm-based management strategies to mitigate stress under field conditions.
124 citations