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Common bean provides diet rich in vitamins, fiber, minerals, and protein, which could contribute into food security of needy populations in many countries. Developing genotypes that associate favorable agronomic and grain quality traits in the common bean crop could increase the chances of adopting new cultivars black bean. In this context, the present study aimed at selection of superior black bean lines using multi-variate indexes, Smith-Hazel-index, and genotype by yield*trait biplot analysis. These trials were conducted in Campos dos Goytacazes - RJ, in 2020 and 2021. The experimental design used was randomized blocks, with 28 treatments and three replications. The experimental unit consisted of four rows 4.0 m long, spaced at 0.50 m apart, with a sowing density of 15 seeds per meter. The two central rows were used for the evaluations. The selection of superior genotypes was conducted using the multiple trait stability index (MTSI), multi-trait genotype-ideotype distance index (MGIDI), multi-trait index based on factor analysis and genotype-ideotype distance (FAI-BLUP), Smith-Hazel index, and Genotype by Yield*Trait Biplot (GYT). The multivariate indexes efficiently selected the best black bean genotypes, presenting desirable selection gains for most traits. The use of multivariate indexes and GYT enable the selection of early genotypes with higher grain yields. These lines G9, G13, G17, G23, and G27 were selected based on their performance for multiple traits closest to the ideotype and could be recommended as new varieties.

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The aim of the present study was to identify and quantify the metabolites (metabolome analysis) of the pectoralis major muscle in male red-winged tinamou (Rhynchotus rufescens) selected for growth traits. A selection index was developed for females [body weight (BW), chest circumference (CC), and thigh circumference (TC)] and males [BW, CC, TC, semen volume, and sperm concentration] in order to divide the animals into 2 experimental groups: selection group with a higher index (TinamouS) and commercial group with a lower index (TinamouC). Twenty male offspring of the 2 groups (TinamouS, n = 10; TinamouC, n = 10) were confined for 350 d. The birds were slaughtered and pectoralis major muscle samples were collected, subjected to polar and apolar metabolites extractions and analyzed by proton nuclear magnetic resonance (1H NMR) spectroscopy. Analysis of the polar metabolomic profile identified 65 metabolites; 29 of them were differentially expressed between the experimental groups (P < 0.05). The TinamouS groups exhibited significantly higher concentrations (P < 0.05) of 25 metabolites, including anserine, aspartate, betaine, carnosine, creatine, glutamate, threonine, 3-methylhistidine, NAD+, pyruvate, and taurine. Significantly higher concentrations of cysteine, beta-alanine, lactose, and choline were observed in the TinamouC group (P < 0.05). The metabolites identified in the muscle provided information about the main metabolic pathways (higher impact value and P < 0.05), for example, phenylalanine, tyrosine and tryptophan biosynthesis; alanine, aspartate and glutamate metabolism; D-glutamine and D-glutamate metabolism; ß-alanine metabolism; glycine, serine and threonine metabolism; taurine and hypotaurine metabolism; histidine metabolism; phenylalanine metabolism. The NMR spectra of apolar fraction showed 8 classes of chemical compounds. The metabolome analysis shows that the selection index resulted in the upregulation of polyunsaturated fatty acids, unsaturated fatty acids, phosphocholines, phosphoethanolamines, triacylglycerols, and glycerophospholipids. The present study suggests that, despite few generations, the selection based on muscle growth traits promoted changes in metabolite concentrations in red-winged tinamou.

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The aim of the present study was to evaluate the efficiency of selection for body growth and its association with carcass and meat quality traits in the red-winged tinamou. Two experimental groups were selected based on the selection index: selection group with a higher index (TinamouS) and commercial group with a lower index (TinamouC). Weight at 180 days and slaughter weight were significantly higher (p < 0.05) in the TinamouS group, as were hot carcass weight, skinless breast weight, wing weight, and thigh and drumstick weight. The meat quality traits or sensory attributes did not differ significantly (p > 0.05) between groups. A significant positive correlation (0.59; p < 0.05) was found between shear force and chewability and a significant negative correlation (- 0.59; p < 0.05) between aroma intensity and strange aroma. The present study suggests that the selection index promotes greater body growth and preserves meat quality and sensory traits in red-winged tinamou.

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Quinoa is an ancestral crop in the Andean region, characterized by its adaptability to different agroclimatic conditions, great nutritional value, and broad genetic variability. A preliminary approach for understanding the genetics of quinoa materials entails a morphologic characterization, which can provide the basis for the selection of materials that satisfy the needs of farmers and consumers. Therefore, this study aimed to evaluate the phenotypic characteristics of thirty genetic C. quinoa accessions for the selection of outstanding accessions in terms of yield and grain quality. A randomized complete block design was used, with nine replications for each accession under greenhouse conditions. Nine quantitative and twelve qualitative descriptors were evaluated with descriptive analysis, Spearman correlation variance, and multivariate and cluster analysis. The results showed that the accessions with heights greater than the average (>176.72 cm) and long panicles (>57.94 cm) presented lower yields and smaller seed sizes, thus decreasing the grain quality. The multivariate and cluster analyses established groups of accessions with good yields (>62.02 g of seeds per plant) and stable morphological characteristics. The proposed selection index, based on yield components and morphological descriptors, indicated four accessions as potential parents for quinoa breeding programs in Colombia.

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Abstract Background: Meat goat breeding programs should prioritize the identification and selection of genetically superior animals for traits related to meat quality and carcass yield in order to increase the value of the final product. Objective: To estimate (co)variance components and genetic parameters for ultrasound-measured carcass traits, body size and body weight in Anglo- Nubian breed goats raised in the Mid-North region of Brazil. Methods: (Co)variance components and genetic parameters were estimated using the single and two-trait animal model analyses via Bayesian inference for loin eye dimensions (area, length, and depth), sternal fat thickness, rump height, chest circumference and depth, leg perimeter, and body weight. Results: Heritability estimates were higher when two-trait analyses were used. This finding implies that it is possible to recover part of the additive genetic variance included in the residual variance due to the correlation between traits. Genetic correlations between carcass and body size traits showed different magnitudes. On the other hand, genetic correlations between the traits related to muscularity showed high magnitudes. Conclusions: Body weight was not a good indicator of muscularity; therefore, it is not recommended as a criterion for indirect selection to improve carcass traits of Anglo-Nubian goats. Leg perimeter and chest circumference may be important to construct selection indexes in meat goat breeding programs.

Resumen Antecedentes: los programas de mejoramiento de caprinos de carne deben priorizar la identificación y selección de animales genéticamente superiores para características relacionadas con la calidad de la carne y rendimiento de la canal, con el fin de agregar valor al producto final. Objetivo: estimar los componentes de (co)varianza y parámetros genéticos para características de canal obtenidas por ultrasonografía, características de tamaño y peso corporal en caprinos de la raza Anglonubiana, criados en la región medio-norte de Brasil. Métodos: los componentes de (co)varianza y parámetros genéticos fueron estimados mediante un modelo animal usando análisis uni y bi-carácter vía metodología Bayesiana para las dimensiones del ojo de lomo (área, profundidad y longitud), grosor de la grasa esternal, altura de la grupa, circunferencia y profundidad torácica, perímetro de la pierna y peso corporal. Resultados: las estimativas de heredabilidad obtenidas a partir del análisis bi-carácteristico fueron mayores que las obtenidas a partir del análisis uni-carácteristico. Este supuesto implica que es posible recuperar parte de la variancia genética aditiva incluida en la variancia residual, debido a la correlación entre las características. Las correlaciones genéticas entre las características de canal y las medidas corporales presentaron diferentes magnitudes. Por otro lado, las correlaciones genéticas entre las características relacionadas con musculatura presentaron alta magnitud. Conclusiones: el peso corporal no fue un buen indicador de musculatura; por eso no es recomendado como criterio de selección indirecta para mejorar la canal de caprinos Anglonubianos. El perímetro de la pierna y la circunferencia del pecho pueden ser importantes para la construcción de índices de selección en programas de mejoramiento de carne caprina.

Resumo Antecedentes: programas de melhoramento de caprinos de corte devem priorizar a identificação e seleção de animais geneticamente superiores para características relacionadas à qualidade da carne e rendimento de carcaça, para aumentar o valor ao produto final. Objetivo: estimar componentes de (co)variância e parâmetros genéticos para características de carcaça obtidas por ultrassonografia, características de tamanho e peso corporal em caprinos da raça Anglo-Nubiana criados na região Meio-Norte do Brasil. Métodos: os componentes de (co)variância e parâmetros genéticos foram estimados usando análises uni e bicaracterísticas de um modelo animal via metodologia Bayesiana para área, profundidade e comprimento de olho de lombo, espessura da gordura esternal, altura da garupa, circunferência e profundidade torácica, perímetro da perna e peso corporal. Resultados: as estimativas de herdabilidade obtidas a partir das análises bicaracterísticas foram maiores que as obtidas a partir das análises unicaracterísticas. Esse resultado implica que é possível recuperar parte da variância genética aditiva incluída na variância residual devido à correlação entre as características. As correlações genéticas entre as características de carcaça e as medidas corporais apresentaram magnitudes variáveis. Por outro lado, as correlações genéticas entre as características relacionadas à musculosidade apresentaram altas magnitudes. Conclusões: o peso corporal não se mostrou um bom indicador de muscularidade, de modo que não é recomendado como critério de seleção indireta para melhorar a carcaça de caprinos Anglo-Nubiano. O perímetro de perna e a circunferência torácica podem ser importantes para a construção de índices de seleção em programas de melhoramento de carne caprina.

RESUMO

Regulations imposed on the use of chemical insecticides call for the development of environmental-friendly pest management strategies. One of the most effective strategies is the push-pull system, which takes advantage of the behavioral response of the insect to the integration of repellent stimuli; it expels the pest out of the main crop (push), while attracting stimuli (attractants) pull the pest to an alternative crop or trap (pull). The objective of this study was to design a push-pull system to control Spodoptera frugiperda in maize crops (Zea mays) in Morelos, Mexico. Data on reproductive potential, larvae development, food consumption and olfactometry were used to obtain a Trap Plant Selection Index (TRAPS) based on Principal Component Analysis. This TRAPS was used to select the most suitable plants. The degree of repellency of potential plants to be used as the trap crop was studied with four-way olfactometers. S. frugiperda females oviposited more eggs on Brachiaria hybrid cv. Mulato II, Panicum maximum cv. Mombasa and Panicum maximum cv. Tanzania than on Z. mays, regardless of the fact that these plants delayed the development of their offspring. Dysphania ambrosioides, Tagetes erecta and Crotalaria juncea were less attractive to S. frugiperda females. Therefore, the former plants could be used as crop traps, and the latter as intercropped repellent plants in a push-pull system.

RESUMO

When breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP's and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.

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When breeding the common bean in Brazil, the best progenies are chosen, normally, from solely the generation under analysis at the conclusion of the evaluation, without considering what occurred in the past. However, a number of recently published studies show that if an evaluation were to consider all relevant generations, the gain from selection could be higher, especially when an index that involves information from the population that gave rise to the progenies is used. Thus, the aim of this study was to compare three selection procedures in the evaluation of successive generations and to discuss the implications of the progeny × environment interaction in terms of success of selection. Cycle XV progenies from a bean recurrent selection program were used. The traits evaluated were grain yield, plant architecture and grain type. Analysis of variance was carried out and the variance components and heritabilities were estimated. The same analyses were made using mixed models. A selection index weighted by the effect of populations and progenies within populations (WSI) was also obtained. We estimated the correlations between the classification of the progenies using the three procedures and the coincidence of the best progenies evaluated in S0:4 with the progenies in the previous generations. We found that the classification of the progenies by the BLUP's and WSI did not expressively differ from that obtained when using only the mean, even when a number of generations were considered in the selection. None of the procedures used effectively mitigated the effect of the progeny × environment interaction.(AU)

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RESUMEN Solanum quitoense es una planta de gran relevancia para emprender proyectos productivos con fines de exportación, como frutal exótico o para la industria. Su importancia radica en la posibilidad de aportar al desarrollo de los productores de la región andina, debido a que el lulo es demandado en el mercado por su sabor, aroma, propiedades nutritivas y organolépticas. A pesar de su importancia, esta especie presenta deficiencias tecnológicas, entre las cuales, se destaca la falta de cultivares mejorados, que permitan garantizar mayores rendimientos y calidad de fruta y establecer su eficiencia agronómica, a través de diferentes ambientes. El objetivo de este trabajo fue evaluar el comportamiento del rendimiento y de las variables relacionadas con la fruta, en poblaciones de lulo de Castilla. Se utilizaron ocho parentales y 10 híbridos. En los municipios de La Florida y Buesaco, ubicados en el departamento de Nariño, se establecieron dos ensayos, bajo un diseño de Bloques Completos al Azar, con tres repeticiones. La interacción genotipo por ambiente fue significativa para el peso de fruto (PF), diámetro ecuatorial, sólidos solubles totales, contenido de jugo y rendimiento (RTO). En La Florida, B1, B2, B3, B4xB5 y B2XLaSelva fueron los de mejor comportamiento en cuanto a RTO, con promedios entre 6,64 a 9,35t.ha-1 y PF, con 143 a 167g, en su orden. En Buesaco, se destacaron B1 y B2xB8 con RTOs de 7,72 y 9,43t.ha-1 y PF, entre 92,03 y 112,97g, promedios que están por encima del promedio regional y son la base para mejorar estas características.

ABSTRACT Solanum quitoense is a plant of great relevance to undertake productive projects for export as an exotic fruit or for industry. Its importance lies in the possibility of contributing to the development of producers in the Andean region, because the lulo is demanded in the market for its flavor, aroma, nutritional and organoleptic properties. Despite its importance, this species has technological deficiencies, among which, the lack of improved cultivars that guarantee greater yields and fruit quality and establish its agronomic efficiency through different environments is highlighted. The objective of this work was to evaluate the performance of the yield and traits related to the fruit in populations of lulo de Castilla. Eight parents and 10 hybrids were used. In the municipalities of La Florida and Buesaco located in the department of Nariño, two trials were established under a Randomized Complete Blocks design with three repetitions. Genotype interaction by environment was significant for fruit weight (FP), equatorial diameter, total soluble solids, juice content and yield (RTO). In La Florida, B1, B2, B3, B4xB5 and B2XLaSelva were the best performers in terms of RTO with averages between 6.64 to 9.35t.ha-1 and PF with 143 to 167g, in order. In Buesaco, B1 and B2xB8 stood out with RTOs of 7.72 and 9.43t.ha-1, PF between 92.03 and 112.97g, averages that are above the regional average and are the basis for improving these characteristics.

RESUMO

Genome-wide selection (GWS) is based on a large number of markers widely distributed throughout the genome. Genome-wide selection provides for the estimation of the effect of each molecular marker on the phenotype, thereby allowing for the capture of all genes affecting the quantitative traits of interest. The main statistical tools applied to GWS are based on random regression or dimensionality reduction methods. In this study a new non-parametric method, called Delta-p was proposed, which was then compared to the Genomic Best Linear Unbiased Predictor (G-BLUP) method. Furthermore, a new selection index combining the genetic values obtained by the G-BLUP and Delta-p, named Delta-p/G-BLUP methods, was proposed. The efficiency of the proposed methods was evaluated through both simulation and real studies. The simulated data consisted of eight scenarios comprising a combination of two levels of heritability, two genetic architectures and two dominance status (absence and complete dominance). Each scenario was simulated ten times. All methods were applied to a real dataset of Asian rice (Oryza sativa) aiming to increase the efficiency of a current breeding program. The methods were compared as regards accuracy of prediction (simulation data) or predictive ability (real dataset), bias and recovery of the true genomic heritability. The results indicated that the proposed Delta-p/G-BLUP index outperformed the other methods in both prediction accuracy and predictive ability.

RESUMO

Genome-wide selection (GWS) is based on a large number of markers widely distributed throughout the genome. Genome-wide selection provides for the estimation of the effect of each molecular marker on the phenotype, thereby allowing for the capture of all genes affecting the quantitative traits of interest. The main statistical tools applied to GWS are based on random regression or dimensionality reduction methods. In this study a new non-parametric method, called Delta-p was proposed, which was then compared to the Genomic Best Linear Unbiased Predictor (G-BLUP) method. Furthermore, a new selection index combining the genetic values obtained by the G-BLUP and Delta-p, named Delta-p/G-BLUP methods, was proposed. The efficiency of the proposed methods was evaluated through both simulation and real studies. The simulated data consisted of eight scenarios comprising a combination of two levels of heritability, two genetic architectures and two dominance status (absence and complete dominance). Each scenario was simulated ten times. All methods were applied to a real dataset of Asian rice (Oryza sativa) aiming to increase the efficiency of a current breeding program. The methods were compared as regards accuracy of prediction (simulation data) or predictive ability (real dataset), bias and recovery of the true genomic heritability. The results indicated that the proposed Delta-p/G-BLUP index outperformed the other methods in both prediction accuracy and predictive ability.(AU)

RESUMO

Choosing breeding populations in a common bean (Phaseolus vulgaris L.) breeding program via recurrent selection is a crucial step since it maximizes the effort to find superior inbred lines. The application of the mixed models methodology (REML/BLUP) in predicting breeding values has shown good results in animal and perennial crops breeding programs. Conversely, studies on the application of this methodology to annual crops are still scarce. The present work aimed to use the REML/BLUP methodology to select breeding populations of a common bean breeding program via recurrent selection. Thirty-five F3populations were evaluated. Individual plants data were assessed for grain yield and hypocotyl diameter, and the genetic potential of the population was estimated via the mixed models and the Jinks and Pooni's methodologies. A selection index was applied to the selection among and within population, considering both characters simultaneously, using the population and individual BLUP means. REML/BLUP has shown to be afeasible methodology to predict and select the potential of breeding populations, considering more than one character. Selecting individual plants within population provides positive genetic gain estimates for both characters. BLUP breeding values are fundamental to the choice of the number of populations and single plants to be conducted in a common bean breeding program via recurrent selection.

Na cultura do feijoeiro (Phaseolus vulgaris L.), a escolha de populações segregantes em programas de melhoramento conduzidos por seleção recorrente é etapa crucial, uma vez que se aumenta a chance de extrair linhagens superiores. A aplicação da metodologia de modelos mistos (REML/BLUP) na predição de valores genéticos tem mostrado bons resultados em programas de melhoramento animal e de culturas perenes, enquanto que em culturas anuais, sua utilização ainda necessita resultados adicionais. O objetivo deste estudo foi utilizar a metodologia REML/BLUP na seleção de populações segregantes em um programa de melhoramento de feijoeiro por seleção recorrente. Trinta e cinco populações F3 foram avaliadas por meio de dados individuais de plantas quanto aos caracteres rendimento de grãos e diâmetro do hipocótilo. Os potenciais genéticos das populações foram estimados por meio da metodologia de modelos mistos e da metodologia de Jinks e Pooni. Um índice de seleção foi utilizado a fim de selecionar entre e dentro depopulações para ambos os caracteres simultaneamente, por meio do BLUP de populações e de indivíduo. A metodologia de modelos mistos mostrou-se viável para predizer o potencial de populações segregantes, bem como para selecionar tais populações, considerando mais de um caráter ao mesmo tempo. A seleção de plantas individuais permite estimativas de ganho genético positivas para ambos os caracteres. Os valores genéticos preditos são de grande importância em um programa de melhoramento por seleção recorrente, pois permiteescolher o número de populações e plantas individuais dentro de populações

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Rice cultivation has great national and global importance, being one of the most produced and consumed cereals in the world and the primary food for more than half of the worlds population. Because of its importance as food, developing efficient methods to select and predict genetically superior individuals in reference to plant traits is of extreme importance for breeding programs. The objective of this research was to evaluate and compare the efficiency of the Delta-p, G-BLUP (Genomic Best Linear Unbiased Predictor), BayesCpi, BLASSO (Bayesian Least Absolute Shrinkage and Selection Operator), Delta-p/G-BLUP index, Delta-p/BayesCpi index, and Delta-p/BLASSO index in the estimation of genomic values and the effects of single nucleotide polymorphisms on phenotypic data associated with rice traits. Use of molecular markers allowed high selective efficiency and increased genetic gain per unit time. The Delta-p method uses the concept of change in allelic frequency caused by selection and the theoretical concept of genetic gain. The Index is based on the principle of combined selection, using the information regarding the additive genomic values predicted via G-BLUP, BayesCpi, BLASSO, or Delta-p. These methods were applied and compared for genomic prediction using nine rice traits: flag leaf length, flag leaf width, panicles number per plant, primary panicle branch number, seed length, seed width, amylose content, protein content, and blast resistance. Delta-p/G-BLUP index had higher predictive abilities for the traits studied, except for amylose content trait in which the method with the highest predictive ability was BayesCpi, being approximately 3% greater than that of the Delta-p/G-BLUP index.(AU)

A cultura do arroz tem grande importância nacional e mundial por ser um dos cereais mais produzidos e consumidos no mundo, caracterizando-se como o principal alimento de mais da metade da população mundial. Em função de sua importância alimentar, desenvolver métodos eficientes que visam a predição e a seleção de indivíduos geneticamente superiores, quanto a características da planta, é de extrema importância para os programas de melhoramento. Diante disso, o objetivo deste trabalho foi avaliar e comparar a eficiência do método Delta-p, G-BLUP, BayesCpi, BLASSO e o índice Delta-p/G-BLUP, índice Delta-p/BayesCpi e índice Delta-p/BLASSO, na estimação de valores genômicos e dos efeitos de marcadores SNPs (Single Nucleotide Polymorphisms) em dados fenotípicos associados a características de arroz. A utilização de marcadores moleculares permite alta eficiência seletiva e o aumento do ganho genético por unidade de tempo. O método Delta-p utiliza o conceito de mudança na frequência alélica devido à seleção e o conceito teórico de ganho genético. O Índice é baseado no princípio da seleção combinada, utiliza conjuntamente as informações dos valores genômicos aditivos preditos via G-BLUP, BayesCpi ou BLASSO e via Delta-p. Estes métodos foram aplicados e comparados quanto à predição genômica utilizando nove características de arroz (Oryza sativa), sendo elas: comprimento da folha bandeira, largura da folha bandeira; número de panículas por planta; número de ramos da panícula primária; comprimento de semente; largura de semente; teor de amilose; teor de proteína; resistência a bruzone. O índice Delta-p/G-BLUP obteve maiores capacidades preditivas para as características estudadas, exceto para a característica Conteúdo de amilose, em que o método que obteve maior capacidade preditiva foi o BayesCpi, sendo aproximadamente 3% superior ao índice Delta-p/G-BLUP.(AU)

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ABSTRACT: Rice cultivation has great national and global importance, being one of the most produced and consumed cereals in the world and the primary food for more than half of the world's population. Because of its importance as food, developing efficient methods to select and predict genetically superior individuals in reference to plant traits is of extreme importance for breeding programs. The objective of this research was to evaluate and compare the efficiency of the Delta-p, G-BLUP (Genomic Best Linear Unbiased Predictor), BayesCpi, BLASSO (Bayesian Least Absolute Shrinkage and Selection Operator), Delta-p/G-BLUP index, Delta-p/BayesCpi index, and Delta-p/BLASSO index in the estimation of genomic values and the effects of single nucleotide polymorphisms on phenotypic data associated with rice traits. Use of molecular markers allowed high selective efficiency and increased genetic gain per unit time. The Delta-p method uses the concept of change in allelic frequency caused by selection and the theoretical concept of genetic gain. The Index is based on the principle of combined selection, using the information regarding the additive genomic values predicted via G-BLUP, BayesCpi, BLASSO, or Delta-p. These methods were applied and compared for genomic prediction using nine rice traits: flag leaf length, flag leaf width, panicles number per plant, primary panicle branch number, seed length, seed width, amylose content, protein content, and blast resistance. Delta-p/G-BLUP index had higher predictive abilities for the traits studied, except for amylose content trait in which the method with the highest predictive ability was BayesCpi, being approximately 3% greater than that of the Delta-p/G-BLUP index.

RESUMO: A cultura do arroz tem grande importância nacional e mundial por ser um dos cereais mais produzidos e consumidos no mundo, caracterizando-se como o principal alimento de mais da metade da população mundial. Em função de sua importância alimentar, desenvolver métodos eficientes que visam a predição e a seleção de indivíduos geneticamente superiores, quanto a características da planta, é de extrema importância para os programas de melhoramento. Diante disso, o objetivo deste trabalho foi avaliar e comparar a eficiência do método Delta-p, G-BLUP, BayesCpi, BLASSO e o índice Delta-p/G-BLUP, índice Delta-p/BayesCpi e índice Delta-p/BLASSO, na estimação de valores genômicos e dos efeitos de marcadores SNPs (Single Nucleotide Polymorphisms) em dados fenotípicos associados a características de arroz. A utilização de marcadores moleculares permite alta eficiência seletiva e o aumento do ganho genético por unidade de tempo. O método Delta-p utiliza o conceito de mudança na frequência alélica devido à seleção e o conceito teórico de ganho genético. O Índice é baseado no princípio da seleção combinada, utiliza conjuntamente as informações dos valores genômicos aditivos preditos via G-BLUP, BayesCpi ou BLASSO e via Delta-p. Estes métodos foram aplicados e comparados quanto à predição genômica utilizando nove características de arroz (Oryza sativa), sendo elas: comprimento da folha bandeira, largura da folha bandeira; número de panículas por planta; número de ramos da panícula primária; comprimento de semente; largura de semente; teor de amilose; teor de proteína; resistência a bruzone. O índice Delta-p/G-BLUP obteve maiores capacidades preditivas para as características estudadas, exceto para a característica Conteúdo de amilose, em que o método que obteve maior capacidade preditiva foi o BayesCpi, sendo aproximadamente 3% superior ao índice Delta-p/G-BLUP.

RESUMO

The selection of common bean cultivars for high agronomic performance can be difficulty by genotype x environment interaction. The objectives of this work were to evaluate if common bean cultivars differ for cycle, plant architecture and grain yield in different growing seasons, and to select early, upright and highly grain yield common bean cultivars, by the use of selection index. For this, five experiments were conducted in the randomized blocks design, with three replicates. A total of 26 common bean cultivars were evaluated and the multiplicative index was used to select superior cultivars. A significant cultivar x season interaction for flowering, cycle, insertion of the first pod, insertion of the last pod, number of pods per plant and grain yield was observed. The common bean cultivars have early or semiearly cycle in rainy season and upright plant architecture. The cultivars Macanudo, BRS Campeiro, IAPAR 81, and IPR Juriti presented high grain yield in most growing seasons. The four superior common bean cultivars selected by the multiplicative index were BRS Campeiro, Macanudo, IPR Juriti, and Guapo Brilhante. The cultivars BRS Campeiro, Macanudo, and IPR Juriti presents earliness, upright plant architecture, and high grain yield and will be selected for the breeding program.

A seleção de cultivares de feijão com alto desempenho agronômico pode ser dificultada pela ocorrência de interação genótipo x ambiente. Os objetivos desse trabalho foram avaliar se cultivares de feijão diferem para ciclo, arquitetura de planta e produtividade de grãos em diferentes épocas de cultivo e selecionar cultivares de feijão precoces, eretas e altamente produtivas pelo uso de índice de seleção. Para tanto, cinco experimentos foram conduzidos em delineamento de blocos ao acaso, com três repetições. Um total de 26 cultivares de feijão foram avaliadas e o índice multiplicativo foi usado para selecionar cultivares superiores. Interação cultivar x época de cultivo significativa foi constatada para a floração, ciclo, inserção da primeira vagem, inserção da última vagem, número de vagens por planta e produtividade de grãos. As cultivares de feijão avaliadas possuem ciclo precoce ou semiprecoce no cultivo de safra e arquitetura de planta ereta. As cultivares Macanudo, BRS Campeiro, IAPAR 81 e IPR Juriti apresentaram alta produtividade de grãos na maioria das épocas avaliadas. As quatro melhores cultivares de feijão selecionadas pelo índice multiplicativo foram BRS Campeiro, Macanudo, IPR Juriti e Guapo Brilhante. As cultivares BRS Campeiro, Macanudo e IPR Juriti apresentam precocidade, arquitetura de planta ereta e alta produtividade de grãos, portanto serão selecionadas pelo programa de melhoramento.

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Previous cafeteria studies suggested that a moderate natural gastrointestinal nematode (GIN) infection did not modify the resource selection of adult Criollo goats towards tannin-rich plants compared with worm-free goats. A higher infection with Haemonchus contortus could trigger a change in the resource selection behaviour towards tannin-rich foliage. Alternatively, goats might select plant species solely to meet their nutritional requirements. A cafeteria study investigated the effect of a high artificial infection with H. contortus on the feed resource selection of goats. Adult Criollo goats (37.5±4.8 kg BW) with browsing experience were distributed in two groups: the infected group (IG) with six animals artificially infected with H. contortus (6000 L3/animal); and the non-infected group (NIG) with six animals maintained worm-free. The experiment included two 5-day periods with additional 5-day adaptation period. In the first period, animals were offered foliage of five plant species with a decreasing gradient of condensed tannins (CT) (Mimosa bahamensis, Gymnopodium floribundum, Havardia albicans, Acacia pennatula, Lysiloma latisiliqum), and three plant species with negligible CT content (Leucaena leucocephala, Piscidia piscipula and Brosimum alicastrum). In the second period the foliage of B. alicastrum was withdrawn. A grain-based concentrate feed was offered daily at 1% BW in DM basis. Dry matter and nutrient intake was determined. Foliage selection of each experimental group was determined using the Chesson selection index. The H. contortus egg count per gram of faeces (EPG) was determined for infected goats twice daily. Chesson index showed a similar pattern of foliage selection on periods 1 and 2. Mean EPG of goats in IG was 2028±259 EPG during period 1 and 1 293±198 EPG during period 2 (P>0.05). During period 1, the selection pattern was highest for B. alicastrum (tannin-free), followed by a tannin-rich plant (M. bahamensis). These two plants remained as highly selected during period 2. The Chesson index showed that both experimental groups (IG and NIG) selected the same plant species in both periods. Thus, a high H. contortus infection did not affect selection of goats fed with CT-rich plants. Apparently, goats balanced their nutrient intake with the plants selected, showing evidence of nutritional wisdom. This balance may have helped to prevent excess protein in the diet and also to maintain a low GIN infection, both considered as examples of prophylactic self-medication.

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Selection methods were compared direct and indirect selection and index selection related to productive traits, using information from 1962 female and 3870 male in maternal and paternal broiler line. Index selection can result in better genetic gains observed in the procedures for direct and indirect selection. In the paternal line, the selection by I1=1.67 (P42) + 1.02 (Cpeito) correspond to expected genetic gain per generation, compared to the average feature of 10.86% and 10.42%. In the maternal line, the selection by I1 = 0.005 (P42) 0.018 (IMS) correspond to expected genetic gain per generation, compared to the average feature of 2.9% and 0.1%, respectively.(AU)

Foram comparados métodos de seleção direta e indireta e índices de seleção relacionados com características produtivas em linhagens paterna e materna de matrizes de frango de corte, utilizando-se informações de 1962 fêmeas da linhagem materna e 3870 machos da linhagem paterna de frangos de corte. Na linhagem paterna, a seleção por meio de I1 = 1,67(P42) + 1,02 (CPeito) corresponderia a ganhos genéticos por geração, em relação à média da característica, de 10,86% e 10,42%, respectivamente. Na linhagem materna, a seleção por meio de I1 = 0,005(P42) 0,018(IMS) corresponderia a ganhos genéticos por geração, em relação à média da característica, de 2,9% e 0,1%, respectivamente. A seleção por índices de seleção pode resultar em melhores ganhos genéticos que os observados em procedimentos de seleção direta e indireta, podendo atingir com maior eficiência e rapidez os objetivos do programa de melhoramento em frango de corte.(AU)

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RESUMO

An experiment with families belonging to the first selection stage (T1) of the Sugar Cane Breeding Program (PMGCA) of the Universidade Federal Rural do Rio de Janeiro (UFRRJ)/RIDESA was carried out in the Plant Disa, located in the municipality of Conceição da Barra-ES, in 2006, aiming to evaluate families, for the selection of superior plants for the later stages of the breeding program of the culture. Sixty-eight full-sib families and three genotypes considered standards with potential recommendation for the area under study were evaluated. The experiment was arranged in a statistical randomized block design, in which the families were grouped into four sets. Each set had four replicates and one hundred seedlings per plot, with spacing of 0.5 meters between plants and 1.40 between rows. The evaluations were conducted during two growing seasons, corresponding to the first and second ratoon, 2008 and 2009, respectively. The traits stem diameter (DMC), total weight of the plot (P), number of stems (NC) Brix of the lower stem (Brix PE) and Brix of the upper stem (Brix PT) were assessed. All traits were significant for the genotypes, by the F test (P<0.01), in joint analyses of environments, which reveals significant differences between families. The values found in this study for the genetic variation coefficient (CVg) indicate great potential for success in breeding programs targeting at the selection of the traits evaluated. The highest gains were achieved when the indices of Smith and Hazel and Mulamba and Mock were used, which allowed simultaneous superior gains in all traits for the best families.

Foi instalado, em 2006, na Usina Disa, Município de Conceição da Barra-ES, um ensaio de famílias pertencentes a primeira fase de seleção (T1) do Programa de Melhoramento Genético da Cana-de-Açúcar (PMGCA) da Universidade Federal Rural do Rio de Janeiro (UFRRJ)/ RIDESA, com o objetivo de avaliar famílias, visando à seleção de plantas superiores para as fases posteriores do programa de melhoramento genético da cultura. Foram avaliadas 68 famílias de irmãos-completos e mais três genótipos considerados padrões, com potencial de recomendação para a região avaliada. O delineamento estatístico utilizado foi em blocos ao acaso, no qual as famílias foram agrupadas em quatro sets, cada qual com quatro repetições e cem seedlings por parcela, espaçadas a 0,5 metros entre plantas e 1,40 metros entre linhas. As avaliações foram efetuadas durante duas safras agrícolas, correspondentes a primeira e a segunda soca, 2008 e 2009, respectivamente, sendo avaliadas as características diâmetro médio do colmo (DMC), peso total da parcela (P), número de colmos (NC), Brix da parte inferior do colmo (Brix PE) e Brix da parte superior do colmo (Brix PT). Todas as características foram significativas para famílias avaliadas, pelo teste F (P<0,01) nas análises conjuntas dos ambientes, demonstrando haver diferenças significativas entre as famílias. Os valores encontrados, no presente estudo, para o parâmetro genético coeficiente de variação genético (CVg), indicam grandes possibilidades de sucesso neste programa de melhoramento visando à seleção para as características avaliadas, sendo atribuídos os maiores ganhos genéticos quando utilizados os índices de Smith e Hazel e Mulamba e Mock, os quais permitiram ganhos simultâneos superiores em todas as características avaliadas para as melhores famílias.

RESUMO

An experiment with families belonging to the first selection stage (T1) of the Sugar Cane Breeding Program (PMGCA) of the Universidade Federal Rural do Rio de Janeiro (UFRRJ)/RIDESA was carried out in the Plant Disa, located in the municipality of Conceição da Barra-ES, in 2006, aiming to evaluate families, for the selection of superior plants for the later stages of the breeding program of the culture. Sixty-eight full-sib families and three genotypes considered standards with potential recommendation for the area under study were evaluated. The experiment was arranged in a statistical randomized block design, in which the families were grouped into four sets. Each set had four replicates and one hundred seedlings per plot, with spacing of 0.5 meters between plants and 1.40 between rows. The evaluations were conducted during two growing seasons, corresponding to the first and second ratoon, 2008 and 2009, respectively. The traits stem diameter (DMC), total weight of the plot (P), number of stems (NC) Brix of the lower stem (Brix PE) and Brix of the upper stem (Brix PT) were assessed. All traits were significant for the genotypes, by the F test (P 0.01), in joint analyses of environments, which reveals significant differences between families. The values found in this study for the genetic variation coefficient (CVg) indicate great potential for success in breeding programs targeting at the selection of the traits evaluated. The highest gains were achieved when the indices of Smith and Hazel and Mulamba and Mock were used, which allowed simultaneous superior gains in all traits for the best families.(AU)

Foi instalado, em 2006, na Usina Disa, Município de Conceição da Barra-ES, um ensaio de famílias pertencentes a primeira fase de seleção (T1) do Programa de Melhoramento Genético da Cana-de-Açúcar (PMGCA) da Universidade Federal Rural do Rio de Janeiro (UFRRJ)/ RIDESA, com o objetivo de avaliar famílias, visando à seleção de plantas superiores para as fases posteriores do programa de melhoramento genético da cultura. Foram avaliadas 68 famílias de irmãos-completos e mais três genótipos considerados padrões, com potencial de recomendação para a região avaliada. O delineamento estatístico utilizado foi em blocos ao acaso, no qual as famílias foram agrupadas em quatro sets, cada qual com quatro repetições e cem seedlings por parcela, espaçadas a 0,5 metros entre plantas e 1,40 metros entre linhas. As avaliações foram efetuadas durante duas safras agrícolas, correspondentes a primeira e a segunda soca, 2008 e 2009, respectivamente, sendo avaliadas as características diâmetro médio do colmo (DMC), peso total da parcela (P), número de colmos (NC), Brix da parte inferior do colmo (Brix PE) e Brix da parte superior do colmo (Brix PT). Todas as características foram significativas para famílias avaliadas, pelo teste F (P 0,01) nas análises conjuntas dos ambientes, demonstrando haver diferenças significativas entre as famílias. Os valores encontrados, no presente estudo, para o parâmetro genético coeficiente de variação genético (CVg), indicam grandes possibilidades de sucesso neste programa de melhoramento visando à seleção para as características avaliadas, sendo atribuídos os maiores ganhos genéticos quando utilizados os índices de Smith e Hazel e Mulamba e Mock, os quais permitiram ganhos simultâneos superiores em todas as características avaliadas para as melhores famílias.(AU)

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RESUMO

Heritabilities and correlations for milk yield (MY), fat yield (FY), protein yield (PY), combined fat and protein yield (FPY), fat percentage (F%), protein percentage (P%), age at first kidding (AFK), interval between the first and second kidding (KI), and real and functional productive life at 72mo (FPL72) of 33,725 US dairy goats, were estimated using animal models. Productive life was defined as the total days in production until 72mo of age (PL72) for goats having the opportunity to express the trait. Functional productive life was obtained by correcting PL72 for MY, FY, PY, and final type score (FS). Six selection indexes were used, including or excluding PL72, with 6 groups of different economic weights, to estimate the responses to selection considering MY, FY, PY, and PL72 as selection criteria. The main criteria that determined the culling of a goat from the herd were low FS, MY, and FY per lactation. Heritability estimates were 0.22, 0.17, 0.37, 0.37, 0.38, 0.39, 0.54, 0.64, 0.09, and 0.16 for PL72, FPL72, MY, FY, PY, FPY, F%, P%, KI, and AFK, respectively. Most genetic correlations between the evaluated traits and PL72 or FPL72 were positive, except for F% (-0.04 and -0.06, respectively), P% (-0.002 and -0.03, respectively), and AFK (-0.03 and -0.01, respectively). The highest genetic correlations were between FPL72 and MY (0.39) and between PL72 and MY (0.33). Most phenotypic correlations between the traits evaluated and FPL72 and PL72 were positive (>0.23 and >0.26, respectively), except for F% (-0.004 and -0.02, respectively), P% (-0.05 and -0.02), KI (-0.01 and -0.07), and AFK (-0.08 and -0.08). The direct selection for PL72 increased it by 102.28d per generation. The use of MY, FY, PY, KI, or AFK as selection criteria increased PL72 by 39.21, 27.33, 35.90, -8.28, or 2.77d per generation, respectively. The inclusion of PL72 as selection criterion increased the expected response per generation from 0.15 to 17.35% in all selection indices studied.

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