Programa de Pós-graduação em Genética e Melhoramento de Plantas
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Item Qualidade de grãos em feijoeiro-comum: estimativas de parâmetros genéticos, interação com ambientes, eficiência de seleção e correlação entre caracteres(Universidade Federal de Goiás, 2018-06-29) Almeida, Danilo Valente; Melo, Leonardo Cunha; http://lattes.cnpq.br/9132553601896172; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Melo, Leonardo Cunha; Silva, Fernanda de Cássia; Ribeiro, Nerinéia DalfolloCommon bean (Phaseolus vulgaris L.) is one of the most important crops related to human feeding playing an important role in ensuring food security. Bean is an important source of protein, besides providing considerable amount of fiber and micronutrients as iron and zinc. Thus, the search for genotypes with high nutritional value grains and that meet standards for commercialization is among the objectives of common bean breeding program, specially the carioca grain type one, the preferred, according to the demand for more nutritious and fast foods. Thus, this work has for objectives: I) To investigate the genetic variability and the environment and genotype-environment interaction effects on seed iron (FeC), zinc (ZnC), crude fiber (CF) and protein content (PC), cooking time (CT), grain yield (GY), 100 grain weight (GW), sieve yield (SY), grain color at harvest (GCH) and grain color after 90 days of storage (GCS); II) To evaluate the degree of information of evaluations for grain quality conducted in an environment; III) To estimate genetic parameters and genetic gains for FeC, ZnC, CF, PC and CT; IV) To estimate phenotypic, genetic and environmental correlations between grain quality traits and GY; V) To select advanced common bean lines with carioca grain type superior for grain quality. 81 common bean lines with carioca grain type were evaluated in Preliminary Tests (PT) in triple lattice design 9x9 with plots of two 4-meter rows. In these trials the traits GY, SY and GW were evaluated and FeC, ZnC, CF, PC and CT were evaluated in only one PT. In this trial the phenotypic and genetic parameters and the genetic gains were estimated. The 20 superior lines were selected considering FeC, ZnC, CF, PC and CT and then evaluated in Validation Tests (VT), conducted in 9environments, between 2015 and 2017, in randomized complete block design with 3 replicates and plots of one 4-meters row. Analysis of variance and joint analysis were performed for all the grain quality traits FeC, ZnC, CF, PC, CT, GY, SY, GCH, GCS and GW evaluated on VT. The phenotypic, genetic and environmental correlations were estimated between the traits FeC, ZnC and GY. The phenotypic adaptability and stability parameters were estimated based on the method proposed by Nunes et al. (2005) and the selection of the best genotypes for grain quality was performed based on the index of Mulamba & Mock (1978). The preliminar evaluation of the grain quality traits was efficient and suficient for selecting the superior genotypes for FeC, CF, PC and CT, however, based on the GxE interaction detected, it is recommended to evaluate in at least 2 environments. Significant effects of genotype, environment and genotype-environment were detected for all the traits evaluated on VT. Based on the genetic variability detected, genetic gains can be obtained with the selection for FeC, ZnC, PC and CT, but for CF the available variability is a challenge to obtain important gains. The phenotypic and genetic correlations between FeC and ZnC were significant, wich indicate simultaneous gains for these traits. The lines CNFC 16627, CNFC 16518, CNFC 16602, CNFC 16615 and CNFC 16520 can be used for the improvement of carioca grain quality.Item Escurecimento de grãos em feijão: parâmetros genéticos e fenotípicos, associação com tempo de cocção, seleção assistida por marcadores e obtenção de linhagens elite(Universidade Federal de Goiás, 2015-03-31) Alvares, Renata Cristina; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Bruzi, Adriano Teodoro; Silva Filho, João Luís da; Souza, Thiago Lívio Pessoa Oliveira de; Ganga, Rita Maria DevósThe breeding of common bean cultivars with Carioca grain, slow grain darken-ing, upright plant architecture, and high yield has become a growing challenge. Slow grain darkening will increase the storage time, providing flexibility for producers for the time of sale, and consequently increasing profitability. Studies have demonstrated the existence of genetic variability for this trait, allowing the selection of lines with slow grain darkening. The objectives of this study were i) to estimate genetic and phenotypic parameters of lines of four segregating common bean populations; ii) select those with slow grain darkening, upright plant architecture and high yield; iii) seek an association between slow darkening and cooking time of grains after storage; iv) evaluate two induction methods of grain dark-ening and v) validate the markers Pvsd-1158 and PVM02TC116, associated with grain darkening. The tested lines were derived from four segregating populations resulting from crosses between the cultivar BRSMG Madrepérola with slow grain darkening and the par-ents BRS Estilo, BRS Cometa, BRS Notável, and CNFC 10429. Three trials were installed with 220 lines (55 per population), and 5 parents in a 5x15 triple lattice design, with plots of two 3-m rows, at three locations. The experiments were conducted in the winter grow-ing season 2012, one in Santo Antônio de Goiás and two in Brasilia. The traits grain yield, plant architecture, grain darkening, 100-grain weight, and cooking time were evaluated. The variance components and genetic and phenotypic parameters were estimated, and the phenotypic, genetic and environmental correlation coefficients between grain darkening and cooking time, 90 and 180 days after harvest. Induction methods of accelerated and slow darkening were compared. From the markers Pvsd- 1158 and PVM02TC116, identi-fied as previously linked to the gene that controls grain darkening, the frequency of recom-bination and selection efficiency of the markers was estimated for each population and environment and in the mean of the environments. For slow grain darkening, the estimates of heritability, genetic variance and expected gain with selection were high, indicating good chances of successful selection. For yield, plant architecture and commercial grain size, the estimates of heritability and genetic variance were high, but indicated no high gains with simultaneous selection. Lines with slow grain darkening were obtained from the four populations; the highest number of lines that combined slow darkening with upright plant architecture, high yield, and commercial grain size were derived from the crosses BRSMG Madrepérola x BRS Estilo and BRSMG Madrepérola x BRS Cometa. No im-portant genetic correlation between grain darkening and cooking time was identified, there-fore, light-colored grains do not indicate a short cooking time. The induction methods of slow and accelerated darkening, provide similar information in the discrimination of lines with slow and regular darkening. The estimates of the recombination frequency for marker Pvsd-1158 were always low, indicating the close linkage of this marker to the gene that controls slow darkening, and were stable in the different environments and populations. Marker PVM02TC116 however was not polymorphic in three of the four populations. The recombination frequency of this marker in the polymorphic population was high, showing that it is unsuitable for marker-assisted selection for grain darkening.Item Implicações da interação de genótipos com ambientes na recomendação de cultivares de feijoeiro comum: validação de regras e importância de fatores ambientais(Universidade Federal de Goiás, 2019-11-14) Barros, Matheus Souza de; Melo, Leonardo Cunha; http://lattes.cnpq.br/9132553601896172; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Leonardo Cunha; Mello Filho, Odilon Lemos de; Pereira, Helton Santos; Silva Filho, João Luís da; Abreu, Ângela de Fátima BarbosaThe genotypes by environments interaction (GxA) can be defined as the differential phenotypic response of genotypes in different environments. This phenomenon is the main complicating factor in recommending broadly adapted cultivars in common bean and others crops. The value of cultivation and use (VCU) tests are required for registration of new cultivars. These tests are intended to generate agronomic information about the performance of candidate lines for new cultivars in the various cultivation environments. The rules for conducting VCU tests were very restrictive as they require many tests to register the new cultivar. This step in the development process of new cultivars is the most costly for common bean breeding programs for logistical and operational reasons. Because of this, the standard rule has been relaxed since 2010 and was considers the regionalization of Brazil in edaphoclimatic regions. Thus, ten environments are currently accepted for regions I (South) and II (Central), and six environments for Region III (Northeast). Of which three environments are required per sowing season for the season in which the cultivar is to be indicated. The sowing seasons are for region I “waters” (águas) and “drought” (seca); and for region II "waters" and "winter" (inverno). The tests must be conducted for two years. Thus, this work aims to: validate the number of environments (VCU assays) currently accepted for registration of new cultivars, through computer simulations with real data, and; to evaluate environmental factors to determine their relevance to the phenotypic variation of candidate lines. Grain yield data were used for the study. Data were obtained from 406 VCU trials during 17 years of the common bean breeding program of Embrapa Rice and Beans. During this period 101 candidate lines and 19 commercial cultivars were evaluated as control. The trials were distributed among the three edaphoclimatic regions that contribute most for of the common common bean grain production. For the simulation study an algorithm was built to randomly sample the environments in various combinations. The combinations represent several scenarios, which vary in the number of environments. 288646 simulations were performed and the five best classified genotypes were compared, by coincidence, with the five classified in the complete joint analysis. This analysis uses all available environments in each VCU cycle (two years). Nonlinear modeling was used to adjust estimates to the asymptotic curve to obtain the adjusted averages of coincidence. The curve equation was derived to obtain the instantaneous rate of change. For the criterion of determining the minimum number of environments, the mean value theorem was used to estimate the average rate of change (∆dM) between scenarios, where the x value for the average rate represents the minimum number of environments. For the study of environmental factors two approaches were used: the modeling by mixed models to estimate the variance components and; the classical approach to analysis of variance with decomposition of GxA interaction. In addition to these analyzes, the GxA interaction was decomposed into the simple and complex parts. The results of the simulation study indicated high average coincidence between genotypes even in scenarios with few environments. The elevation of the coincidence was progressive until the scenario with eight environments in regions I and II, which represents the point of ∆dM. However, the number of currently accepted environments (ten) for these regions was more appropriate. For region III, the ∆dM occurred 6.25 indicating that the minimum number of environments for this region is capable of detecting the genotypes most adapted to this region. For sowing seasons, three environments resulted in estimates of over 60% of average coincidence, except for the winter season (53.4%). Thus, it is concluded that the number of environments currently accepted for registration of new cultivars is capable of indicating the superior genotypes. The mixed model evaluation of the environmental factors analysis by region indicated that the GxLxExA interaction is the component of variance that contributes most to the total variance, followed by the effect of locations for regions I and II. In region III the effect of sites was the most important of the components. The analysis of variance of the factors and their partial decompositions indicated that in region I that the isolated effects of times and places together with the GxL interaction were more relevant. In region II, GxE interaction was the most significant componet involving genotypes. The isolated environmental components varied in importance between cycles in the region II. The local effect and GxL interaction are the most expressive components in region III. The decomposition of the interaction was predominantly complex in all studied cycles for all regions. It is concluded, therefore, that in region II the environmental factors sowing seasons, years and location were the ones that participated with most of the total variation. GxE was the most significant among the interactions of environmental factors involving genotypes in region II. In region III the main sources of variation for the isolated effects were location and years, in that order. The variance components indicated that the interaction of genotypes with the environmental components were more important for regions I and II, and for region III the location effect was more relevant. The location effect is the isolated variance component that most contributes to the total variation in all regions. The type of complex interaction was predominant among the combined assays in all regions.Item Progresso genético para produção de grãos obtido em doze anos de melhoramento da população elite de arroz de terras altas(Universidade Federal de Goiás, 2015-08-10) Barros, Matheus Souza de; Morais, Orlando Peixoto de; http://lattes.cnpq.br/2175152793170778; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Morais, Orlando Peixoto de; Torga, Paula Pereira; Silva Filho, João Luiz daThe genetic improvement resulted from plant breeding acts decisively in maintaining the supply of agricultural foods like rice. The contribution of this genetic improvement to increase productivity is expressed in many crops by genetic progress which represents the genetic changes in the course of the selection cycles, and promotes the advance of genotypic average towards selection. Among the strategies adopted to increase the gain by selection, the early generation selection proves to be promising. This work has aimed to evaluate the genetic potential for selecting upland rice progenies and estimate the genetic progress for grain yield. The data used in this study were obtained from the progeny yield trials conducted in the period of eleven agricultural years 2002/03 to 2012/13 conducted by Embrapa Rice and Beans. The traits analyzed were grain yield (kg ha-1), plant height (cm) and days to flowering (day). In each year of the experiment, a group of progeny was tested in four to six sites. It was used Federer's augmented block design without replication per site in seven years and with at least three checks, in four years of the series were used two replications. The experimental data within each year were submitted to joint analysis. A mixedeffects linear model was applied for estimating the components of variance by the method of restricted maximum likelihood (REML). From this estimate of the components, it was calculated the genetic and phenotypic parameters, in addition the selective accuracy, the experimental precision coefficient, the experimental variation coefficient and relative variation coefficient. The genetic progress was estimated by the method of generalized linear regression of the adjusted means of progeny groups evaluated in each year by the mixed model approach. The estimates of the relative annual mean gain and the total relative gain for the three studied traits were also obtained. The estimates of genetic variance among progenies for grain yield were highly significant (p < 0.001), except for the progeny group evaluated in 2007. The heritability estimation ranging from 0.22 to 0.69 that, associated with the selective accuracy, indicates the expected level of efficiency with early generation selection in each group of progenies. For Plant height and daysto- flowering, the genetic variance estimates were significant (p ≤ 0.01) in all groups. The variance components for these traits led to a rather high heritability estimation that suggests favorable conditions for selection in early generations. The genetic progress for grain yield (80.5 kg ha-1 yr-1) was highly significant. This value represents a relative annual mean gain of 2.88%. Throughout the period, the cumulative gain was estimated in 32.86% which indicates an increase of 918 kg ha-1 for grain yield. The response for plant height was not significant, suggesting that the height of progenies remained stable over the period. For days-to-flowering, it was detected significant increase in cycle length, indicated by the cumulative increase of the vegetative period in about five days (6.73%). From these results we conclude that early generation selection, adopted by the breeding program, were effective in promoting the genetic gain for grain yield in the elite populations.Item Estabilidade e potencial produtivo de linhagens de feijão-comum desenvolvidas sob fixação biológica de nitrogênio avaliadas em multi-ambientes(Universidade Federal de Goiás, 2023-10-31) Caetano, João Pedro Miranda; Melo, Leonardo Cunha; http://lattes.cnpq.br/9132553601896172; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Vidotti, Miriam Suzane; Dias, Polianna Alves Silva; Melo, Leonardo CunhaChemical nitrogen fertilization is a common practice in bean fertilization, but it is expensive and can have negative environmental impacts, as well as synthetic fertilizer not being a renewable source. Biological nitrogen fixation (BNF) is one of the most sustainable ways of supplying legumes with nitrogen. In the last two decades, BNF has returned to the focus of common bean breeding programs, mainly by evaluating the potential of strains for BNF in various environments, with a view to recommending adapted and stable genotypes. The aim of this work was to evaluate the performance and productive stability of elite common bean lines of the carioca group developed under BNF. The lines were obtained by crossing the genitors CNFC10762 and the wild accession G234999A, which has a high BNF rate but few favorable agronomic characteristics. After backcrossing, the progenies that were advanced and selected under BNF were obtained. The 15 elite lines (L) obtained and three check genotypes were evaluated in six environments, made up of the combination of location/harvest/year. Two experiments were conducted in each environment, one with nitrogen fertilization of 120 kg ha-1 of nitrogen through mineral fertilizers and the other inoculated with a mixture of Rhizobium tropici and R. freirei without mineral nitrogen fertilization. The experimental design was randomized blocks with three replications, and the plots were made up of three three-metre rows spaced 0.5 m apart. Individual and joint analyses of variance were carried out for grain yield and the stability analysis was done using the WAASB method, which combines the predictive capacity of the BLUP mixed model with the graphical tools of the AMMI model. The effect of the L x FN interaction was significant (P<0.01), with the genotypes performing better when there was nitrogen fertilization. Among these strains, CNFC10762 and CNFC20367 had the best performance and productive stability when both N sources were considered, i.e. they have dual aptitude characteristics and are adapted to both mineral N and BNF systems. For inoculated environments, the control CNFC10762 and the genotypes CNFC20389, CNFC20367 and CNFC20379 stood out, showing the best relationship between productive performance and stability. Common bean breeding was unable to develop lines, originating from wild germplasm, that are more productive than the controls genotypes developed under an exclusive system of mineral N fertilization. The lines from this work will be indicated as progenitors to form new breeding base populations.Item Depressão endogâmica e variabilidade genética de populações para produção de milho verde(Universidade Federal de Goiás, 2020-03-30) Cascão, Luma Mariano; Resende, Marcela Pedroso Mendes; http://lattes.cnpq.br/2080097211870591; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Resende, Marcela Pedroso Mendes; Vidotti, Mirian Suzane; Reis, Edésio Fialho dosThe production of vegetable corn is an activity of great importance for several regions of Brazil. Despite this, breeding programs have devoted little effort to developing and recommending cultivars specifically for this purpose. Then, it is essential that programs for the improvement of public institutions seek to serve this niche market, which has a relevant social role, as it is conducted mainly in small areas. This work aimed to estimate inbreeding depression and the genetic components of three populations for the production of vegetable corn. The populations evaluated have a different genetic basis: a variety of open pollination, called UFG-Samambaia (P1), a population obtained by crossing two older hybrids (P2) and a third population obtained by crossing of the modern hybrids (P3). Progenies of these three populations were obtained by sampling self-fertilized S0 plants. S1 progenies, three S0 populations and two checks were evaluated in a triple lattice 14 x 14 with plots of a four meter line. They were evaluated the agronomic traits: ears weight, plant height, ears height, relative position of the ear, breaking and lodging plants, days to anthesis, days to silking; and quality traits of ears: mass weight, ears weight without straw, length of ears without straw, ears diameter, ear alignment, ear stuffing, grain color. Statistical analyzes were performed using a mixed model approach. Inbreeding depression was estimated for all characters and the components of means (m + a ’and d) and variance. Genetic variability was observed for most traits among P1 progenies. The progenies of the P2 and P3 populations did not show genetic variability for most characters. The three populations suffered an impact when subjected to self-fertilization due to the effects of inbreeding. Inbreeding depression in P1 has higher rates for most characters: plant height, ear height, relative ear position, mass weight, length of ears without straw, alignment of ears and stuffing; In P2, the male flowering characters, weight of ears without straw and diameter of ears show a higher index and in P3, the characters of ear weight, female flowering, breakage and lodging and grain color. In general, the quality characters of the ear, important for the production of green corn, the greater depression due to inbreeding than the agronomic characters. This shows that, inbreeding depression must be considered in the selection process, with the frequency of favorable alleles increasing throughout the improvement process.Item Potencial genético de linhagens elite de feijoeiro-comum para fixação biológica de nitrogênio(Universidade Federal de Goiás, 2017-04-07) Dias, Polianna Alves Silva; Pereira, Helton Santos; http://lattes.cnpq.br/0729719587905292; Ferreira, Enderson Petrônio de Brito; http://lattes.cnpq.br/6292879655540619; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Pereira, Helton Santos; Melo, Leonardo Cunha; Resende, Marcela Pedroso Mendes; Reis Júnior, Fábio Bueno dosIn species rich in protein, like common bean, the nitrogen is considered as the most limiting nutrient in the development of the crop. One way to acquire the N by common bean is through biological nitrogen fixation (BNF). Despite its importance, there are no studies aiming the selection of common bean genotypes under rhizobia inoculation in multiple environments. Thus, the objectives of this studies were: to study the effect of interaction (GxF) of common bean elite lines with nitrogen fertilization and/or rhizobia inoculation; to select lines with high grain yield adaptability and stability and high agronomic performance when inoculated with rhizobia; to assess the variability of the elite lines for the nodulation traits; and to identify lines with superior nodulation traits under BNF cultivation. They were evaluated 19 carioca genotypes and 15 of the black group, in trials conducted separately by grain group. At first, experiments for the evaluation of agronomic traits were conducted at the states of Goiás, Paraná, Mato Grosso and at Distrito Federal, in three sowing seasons (rainy, winter and dry), in 2011 and 2012. Two trials were installed at each environment (location/sowing season/year), one with mineral nitrogen fertilization (80 kg N ha-1) and another with the inoculation of the seeds with Rhizobium tropici and R. freirei strains. The grain yield, sieve yield, 100 grains weight, plant architecture, lodging tolerance and the reaction to anthracnose and angular leaf spot were evaluated. Then, the lines were evaluated during rainy/2013 and winter/2014 seasons, at Santo Antônio de Goiás/GO, under rhizobia inoculation and nitrogen fertilization, in which they were assessed the nodule number, nodule dry and specific weight, nodules activity and shoot dry weight. The relative nodulation index was used on the selection of lines for the nodulation traits. Individual and combined analyses of variance were performed and they were estimated the Spearman correlations and the coincidence index on the selection of the best 30% lines with inoculation and with N fertilization. Grain yield adaptability and stability analyses were performed by the Nunes graphical method. Even though the interaction GxF was significant for some traits in both grain groups, it did not influence on the selection of the best genotypes. The lines of both groups are more productive when fertilized with mineral N, however, the carioca lines lodge less under BNF. The carioca line CNFC 15086 and the cultivars of black group BRS FP403 and BRS Esteio are indicated for cultivation under both N sources. The lines of both grain groups show higher performance for nodulation traits when inoculated. The genotypes BRS Sublime, CNFC 15010 and CNFC 15003 of the carioca group, and BRS Campeiro and CNFP 15177 of the black group are selected for the nodulation traits.Item Progresso genético do programa de seleção recorrente para produtividade de grãos de feijoeiro-comum da EMBRAPA(Universidade Federal de Goiás, 2018-09-28) Farias , Filipe Cavalcante; Melo, Leonardo Cunha; http://lattes.cnpq.br/9132553601896172; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Resende, Marcela Pedroso Mendes; Silva, Fernanda de CássiaThe advantage of using recurrent selection is the increase of favorable alleles without significant loss of genetic variability present in the population. The objectives of this study were to estimate the genetic progress in two cycles of recurrent selection for grain yield, lodging resistance, plant architecture and commercial quality of grains and to study the adaptability and stability of the progenies of the two selective cycles. The 19 best progenies of cycle 0 (C0) and 20 of cycle 1 (C1) and three controls (BRS Cometa, BRS Pontal and BRS Estilo) were evaluated in nine environments. The 42 treatments were arranged in randomized blocks, with three replications. The plots consisted of two lines of four meters and spacing of 45 cm between rows. The estimated genetic progress (PG) was obtained based on the comparison of the means of the progenies selected in each cycle. Genetic variability was verified between the progenies of the two cycles for all evaluated characters. Genetic progress for grain yield was 11.5% (1.9% per year), plant architecture and lodging resistance 5.8% (0.9% per year) and 14% (2.3% per year), respectively. Regarding the commercial quality of grains, the genetic progress was 4.2% (0.7% per year), 1.9% (0.6%) 4.4% (0.73% per year) for mass of 100 grains, sieve yield and grain color score, respectively. It was also verified greater phenotypic stability of C1 progenies in relation to C0. These results prove the efficiency of the recurrent selection program in obtaining genetic gains for several complex inheritance characters.Item Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial(Universidade Federal de Goiás, 2014-02-28) Guimarães, Paulo Henrique Ramos; Morais, Orlando Peixoto de; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães SantosSome spatial analysis methods have been applied in order to mitigate environmental variation. The objective of this study was to evaluate the efficiency of spatial statistical, through the method of Papadakis, relative to the analysis to augmented blocks Federer in the correction of environmental variation. Were evaluated 198 progenies S0:2 of rice and four witnesses for augmented blocks of Federer. Data set were taken in the grain yield (GY, kg ha- 1) and plant height (PH, cm). The data set were subjected to variance analyses and were estimated the genetic and phenotypic parameters. The different approaches (BAF and Papadakis) were compared as to their estimates of genetic and phenotypic parameters. The ranking of adjusted means in the two models analyzed was performed, and calculated the Spearman correlation. There have been improvements in the statistics that depict the experimental accuracy when the spatial analysis was, that affect the estimates of genetic and phenotypic parameters. The use of the Papadakis method yielded fewer iterations compared to BAF for the same value of . Was able to gain direct selection for the AP and PG characters when the Papadakis method was used. With the use of spatial analysis selection was less influenced by the effect of environmental variation. Finally it was found that the spatial analysis methods were effective in the removal of environmental effects highlighting the Papadakis method, indicating that it can provide improvementItem Método para fenotipagem de raiz e mapeamento associativo para tolerância à deficiência hídrica em arroz(Universidade Federal de Goiás, 2017-03-27) Guimarães, Paulo Henrique Ramos; Castro, Adriano Pereira de; http://lattes.cnpq.br/5171386609626615; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Raissac, Marcel de; Borba, Tereza Cristina de Oliveira; Colombari Filho, José Manoel; Brito, Giovani Greigh de; Melo, Patrícia Guimarães SantosClimate change and its influence on agriculture have been a recurring theme at world leaders' meetings. Expected climate change to be accompanied by increases in temperature, periods of water restriction and changes in the biological cycle of pests and diseases. Perhaps there will be changes in agricultural geography, regions suitable for growing of the crops may become unfit. The rice (Oryza sativa L.) which is considered to be an important food source, but is sensitive to water restriction conditions, may be drastically affected by such changes. In this way, the aims of this study were: (i) evaluated the root system of the accessions of the upland rice; (ii) identify SNPs markers and associate then with the morphologic traits to early vigour in rice under water restriction. We evaluated a panel of rice diversity. In the first trial we evaluated 217 accessions on a phenotyping platform (Integrated System for Induced Drought Treatment - SITIS). This trial was conducted in 2014, under well water conditions, we evaluated the tiller number and different characteristics of root system (root length, root volume and Indices derived from the root length system) in two layers (0-20 cm and 20-40 cm). These traits were evaluated through non-invasive root scanner images. We observed that there was variability to root length and root volume besides there was accessions with well root system distribution in the two layers evaluated. Using the variables:𝐿𝑇1𝑃1 , α𝐿1, Δ𝐿𝑃1, Δ𝐿𝑃2, 𝐿𝑇1𝑃2 _𝑅𝐺 and NBT was possible to discriminate the accessions as well recover and describe the root system architecture. The second trial was conducted with a subset with 140 accessions (selected in previous years). This trial was conducted in the 2015 and 2016 in field conditions under two water conditions (well water and water restriction). The traits evaluated were: leaf number (NBL), tiller number (NBT), plant height (PH), length of blade (LLL), blade width (LLW) and shoot dry weight (SDW). These evaluations were done 30 and 45 days after sowing (DAS). At 30 DAS the plants were submitted to water restriction for 15 days. There was significant differences for the all traits evaluated. There was significant reduction in shoot dry weight (43%), plant height and blade width (18%). The traits evaluated were related to each other, the most of correlations there were low, however positive and significant. We identified 64 significant markers (p-value<0.05), however these markers were associated only the PH at 30 DAS and 45 DAS. The markers detected showed small effect explaining between 15 and 30% of the total phenotypic variation. Thus is connotative that the early vigour in rice is controlled by many genes of small effect. The locus identified as associated may improve understanding of the mechanisms underlying water deficit tolerance in rice. These can be used for marker assisted breeding.Item Estratificação de ambientes visando otimização da rede de ensaios de híbridos de milho para primeira e segunda safras(Universidade Federal de Goiás, 2019-07-11) Lepre, André Luiz; Morais Júnior, Odilon Peixoto de; http://lattes.cnpq.br/5190558264625516; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Duarte, João Batista; Silva Filho, João Luís da; Coelho, Alexandre Siqueira Guedes; Santos, Rodrigo Sampaio dos; Melo, Patrícia Guimarães SantosThe environmental stratification process consists of subdividing heterogeneous regions into more uniform sub-regions with similar ecological characteristics, so that the genotype by environment interactions (GE) it is predominantly of single nature. Environmental stratification procedures can be used to verify whether information generated at the testing locations used for breeding is complementary or redundant. This study was carried out with the objective of stratifying environments used to select corn hybrids in the final stage of breeding in the Central region of Brazil, to optimize the multi environment yield trials, in the first and second growing seasons. Yield data were obtained of 99 and 125 corn hybrids, tested across four years, in 55 and 49 locations, in the first (normal season) and in the second (“safrinha”) seasons, respectively. All yield trials were conducted in a randomized complete block design with two replicates. The yield data were submitted to individual and joint analyzes of the experiments, within each year. The components of variance were estimated and were tested through the Likelihood Test Ratio. The effect of GE interaction it was significant in all evaluated years, except for “safrinha” 2013. For the stratification process, two univariate approaches were used; intraclass correlation and prediction model based on reaction norm; and two multivariate approaches, GGE biplot and Factor Analysis. The most efficient method for eliminating redundant locations it was one chosen for the final stratification. Genetic correlation between pairs of location it was estimated by the univariate approaches. These correlations were used in cluster analysis, applying a SAHN algorithm (Sequential, Agglomerative, Hierarquic, Nonoverlapping clustering), associated with complete linkage method, which established the environmental stratification for the both planting seasons. In the multivariate approaches the environmental stratification were established according to the “who-won-where” approach and the factor loading established within each factor, for GGE Biplot and Factor Analysis, respectively. The verification of the established environmental stratification allowed to identify pairs of locations that were grouped in the same environmental strata, indifferent years of tests, which means redundancy. To optimize the target population of environments, the GGE Biplot method it was chosen which eliminated 12,5% of yield test locations in the both seasons.Item Adaptabilidade e estabilidade de linhagens de arroz de terras altas por meio da lógica fuzzy(Universidade Federal de Goiás, 2022-12-05) Maciel, Douglas de Oliveira; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Ramos, Paulo Henrique; Botelho, Flavia Barbosa SilvaThe selection of lines for characters of agronomic interest is done with evaluations in different environments. As the environments are diversified and several lines are evaluated, it is expected that the interaction between genotypes by environments will occur, and that it will play an important role in the manifestation of the phenotype. Adaptability and stability studies have been used in breeding programs to help the selection process where the interaction of genotypes by environments has been reported. The evaluation is based on parameters provided by methodologies and requires the breeder's experience, making it difficult as the number of evaluated genotypes increases. Fuzzy logic stands out for allowing the automation of decision making, and also classifying how much a genotype belongs to each set. The objective of this work was to evaluate the genotypes in terms of adaptability and stability through fuzzy logic, using data on agronomic characters of upland rice from the breeding program of UFG and partners. Eight lines from the UFG breeding program, ten from UFLA and two commercial cultivars were evaluated for grain yield, plant height and number of days to flowering, in VCU trials at six locations in the state of Goiás in four agricultural years, in the 2017/18 to 2020/21 harvests. The trials varied between locations over the years, totaling thirteen environments for grain yield and plant height, and eight environments for number of days to flowering. The design was complete randomized blocks, with three replications, and plots of four lines of 4 meters, spaced by 0.45 meters. The useful area considered was 3 meters from the central lines. The adaptability and stability analyzes considered a fuzzy controller based on the Eberhart and Russell (1966) method, and a hybrid controller, based on the Lin and Binss (1988) methods, modified by Carneiro (1998) and associated with Eberhart and Russell (1966). Both controllers classified the lines into four sets in terms of performance relative to adaptability and stability (general, poorly adapted, favorable environments, unfavorable environments). The CSD 08004 line showed broad adaptability and stability for plant height and grain yeld, in addition to a pertinence value close to classification as adaptability and general stability for the number of days to flowering. Thus, the CSD 08004 line can be recommended for cultivation in the region of the State of Goiás.Item Variabilidade e progresso genético com seleção recorrente em arroz de terras altas(Universidade Federal de Goiás, 2013-03-14) Morais Júnior, Odilon Peixoto de; Colombari Filho, José Manoel; Morais, Orlando Peixoto de; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Geraldi, Isaias Olívio; Miranda Filho, José Branco de; Colombari Filho, José ManoelRice (Oryza sativa L.) is the most important cereal in the world as a major component of the staple food of the world’s population. The increase of the yield potential of new upland rice cultivars has been became highlighted as a main challenge for the plant breeding in this millennium. The increasing mean yield of cultivars becomes more difficult to identify superior genotypes, because the contrasts among elite-lines are becoming smaller. This highlights the importance of developing improved populations with high frequency of favorable alleles and genetic variability. The recurrent selection is a method based on population breeding and the main characteristic is obtaining long-term results. Using the recurrent selection population CNA6 of upland rice, the objectives of this study were: (i) to obtain estimates of genetic and phenotypic parameters among S0:2 progenies for grain yield (PG, in kg ha-1) and plant height (AP, in cm), in four selection cycles; (ii) to determine the influence of the progeny x location interaction on estimates of genetic and phenotypic parameters; (iii) to estimate the genetic progress of the population along the four cycles of recurrent selection for PG, AP and days-to-flowering (DF, in days); and (iv) to evaluate the genetic potential of this population through the expected proportion of superior lines after each selection cycle. It was used the data set from yield trials of S0:2 progenies in the years 2000/01, 2003/04, 2006/07 and 2009/10 from Brazilian Agricultural Research Corporation (Embrapa). In each cycle, the trials were carried out in some locations (Santo Antônio de Goiás-GO; Paragominas-PA; Primavera do Leste, MT; Sinop-MT; Teresina-PI and Vilhena-RO). The experimental design was augmented block of Federer, without replicate within location and with at least three checks. The plots were composed by four rows with five meters long, spacing of 0.30 m, and density of 60 seeds per meter. In each cycle, the data set from PG and AP were subjected to individual analysis of variance for Santo Antônio de Goiás-GO, the unique common location in all cycles, and joint analysis of variance for all locations. Estimates of phenotypic, genotypic and environment correlations among three traits studied was obtained. The average gains per cycle, and average annual gains and total were estimated, as also the weighted coefficients of determination and gains among cycles and the total gain based on contrasts among estimated averages for each cycle. In addition, the expected proportions of superior inbred lines after each selection cycle were obtained, using the average of the checks as standard. Estimates of genetic correlations between PG and AP were -0.42 and between AP and DF the -0.11 , both significant (p0,01), and no correlation was detected among PG and DF. Thus, within this population progenies with higher grain yield had lower plant height, and cycle may be early, medium or late. Estimates of genetic variance among S0:2 progenies suggested that genetic variability was maintained along the cycles of selection for the traits PG and AP. After unfolding of the genotype x location interaction (GxL) was observed predominance of the crossover interaction for PG and AP. Finally, it was found that the GxL interaction affected the estimates of genetic and phenotypic parameters for both traits, due to the wide geographic distribution of the target environments, which the recurrent selection program aims to obtain genetic gains in medium and long term. The results show clearly the efficiency of recurrent selection program in the progress of the population mean for grain yield and plant height, with significant genetic gains observed during the four cycles of selection. The genetic potential of the population to develop superior inbred lines increased during to selection cycles for grain yield and plant height. Despite the absence of genetic gain for days-to-flowering, the genetic potential for this trait was kept in the population during the four cycles elapsed.Item Avaliação da eficiência da rede experimental da Embrapa em dez anos do programa de melhoramento do feijoeiro-comum(Universidade Federal de Goiás, 2016-02-25) Pontes Júnior, Vilmar de Araújo; Melo, Leonardo Cunha; Pereira, Helton Santos; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Leonardo Cunha; Chiorato, Alisson Fernando; Silva Filho, João Luís da; Melo Filho, Odilon Lemos de; Torga, Paula PereiraThe assay of VCU (Value of Cutivation and Use), called of final trials, are in network conducted and are systematized in an organized manner which includes the states responsible for over 90% of national production of common bean. The final trials are realized in different locations, seasons and years, aiming of superiors line selection: productive, stable, adapted and with disered agronomic attributes. The genotypes environments interaction (GE) in plant breeding program has implications numberless, mainly in phase of lines final evaluation. In this case, alternatives to minimize the effect of the GE interaction should search. Among them stand out: identification of predictable behaviors of the cultivars, stratification of recommendation regions in homogeneous subregions and decomposition of GE interaction, aiming at identifying of the factors whose interaction is more expressive. The aim of this study was realize environmental stratification of network final trials and decompose the genotypes interactions with environment factors (locations, seasons and years), during ten years of common bean program at Embrapa of grains "carioca" and black, in main three producing regions in brazilian (R1-South-Central, R2-Central, R3-Northeast). In study of environmental stratification also was evaluated representativeness of base locations of this program. Data for grain yield of the conducted trials in random blocks, with three replications, during 2001 until 2012, 670 trials total (292 in R1, 250 R2 and 128 R3). During all period were evaluated 88 genotypes of “carioca” group (76 lines and 12 checks) and evaluated 71 genotypes in black group (58 lines and 13 checks). In all regions the local effect were considered as random and genotypes fixed. Environmental stratification was separately realized in the main crop seasons of each region, utilized factors analysis methodology and ecovalence. For simultaneously utilization were estimated redundance index joint: redundance percentage (RP), redundance fraction (RF) and redundance percentage in season (RPS). The elimination local was established based observing the three index redundancy values (RP ≥ 15%, RF ≥ ½ e RPS ≥ 50%). To R1, Candoi-PR, Palma-SC, Catanduvas-PR, Campos Novos-SC, Laranjeiras do Sul-PR, Roncador-PR e Dois Vizinhos-PR in rainy seasons and Passo Fundo-RS, Prudentópolis-PR e Dourados-MS in dry seasons were considered redundant, should be eliminated of the trials network. The new evaluation network would be formed by 29 municipalities in rainy and twelve municipalities in dry, considered informative at final trials network. In R2, Morrinhos-GO, Inhumas-GO, Urutaí-GO, Santo Antônio de Goiás-GO, Cristalina-GO e Planaltina-GO e Sinop-MT in rainy and Porangatu-GO, Goiatuba-GO, Urutaí-GO, Senador Canedo-GO, Cáceres-MT, Primavera do Leste-MT e Brasília-DF in dry were redundantes and should be eliminated of the network. This region stayed with 12 municipalities available for realization of the rainy season assays and ten in winter season. To R3, should be eliminated of the network Coronel João Sá-BA, Poço Redondo-SE, Nossa Senhora das Dores-SE, Simão Dias-SE, because, no aggregate in informations to evaluation of the lines, it was uninformative. For this region remained 14 municipalities to composition of the network. Can be concluded than evaluation network at Embrapa represented efficient form variation of the cultive with common bean in Brazil and than environments base of the breeding program in regions South-Central and Central, are consistentes and informative, except during in the rainy season in that Santo Antônio de Goiás-GO is not mandatory enter the assays network. Especially, Ponta Grossa and Santo Antonio de Goias-GO, than are evaluation strategic points of the segregation populations and initial lines, of the common bean breeding program genetic at Brazil. To check with which environmental factors (locations, seasons and/or years) of the common bean genotypes interaction was more expressive, the GE interaction was decomposed in genotypes x years, genotypes x seasons and genotypes x locations. Were utilized grain yield of data 501 trials, 207 in R1, 202 in R2 and 92 in R3. For the fisrt two regions the analysis were partially balanced, this is, only utilized trials data of the locations had evaluation at least one season and in two years each cycle. In R3 the joint analyses were balanced, considered just assays data of the locations with evaluation in two years of the each cycle. In all regions genotype effects, local, season and year were considered fixed. To identify importance of the each variation source from joint variance analyse was estimated contribution of each in relation overall variation, used estimated determination coefficient (R2). The contribuition average over years for genotypes effect in all regions, at “carioca” and black group was important less, followed followed year and season. However, local with interaction was more pronounced in all regions. The interaction GxL was more important in the three regions for both groups, compared with intractions GxS and GxY. Thus, in the R1, R2 and R3, priority should be given of locations increment number evaluation, over seasons and years, aiming at more efficient and safe recommendation of new cultivars to the main producer regions common bean of Brazil.Item Interação de genótipos com ambientes para qualidade de grãos carioca e caracteres agronômicos em feijoeiro-comum(Universidade Federal de Goiás, 2015-10-07) Silva, Fernanda de Cássia; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Souza, Thiago Lívio Pessoa Oliveira de; Mello Filho, Odilon Lemos de; Silva, Kaesel Jackson Damasceno e; Rodrigues, FabrícioIn the common bean crop, environmental influence and the differential behavior of genotypes to environments they have been reported for various important traits, and not restricted to grain yield. Initially, the producers crave for cultivars with high grain yield, early, maturing, upright plant architecture that is conducive to direct mechanized harvesting, commercial grain size and disease resistant. Unlike, the other segments of the production chain crave for grains with other attributes. For industry it is important that new cultivars present grains with high technology quality and processing and for consumers higher nutritional, cuisine and functional quality. Thus, these characteristics need to be combined to meeting the demands of the entire chain and enable the adoption of a new cultivar. And for this, the factors that influence the phenotypic expression of these traits require more studies. The objetive of this study were i) to study the effect of the genotype x environment interaction (GxE) in the grain yield associated with agronomic and grain quality traits and ii) identify carioca common bean genotypes that have simultaneously high adaptability and stability for these traits. Were conducted 79 trials Cultivation Value and Use (CVU) with carioca common bean lines, distributed in Distrito Federal and States of Goiás, Distrito Federal, Mato Grosso, Mato Grosso do Sul, Paraná, Santa Catarina, São Paulo, Pernambuco, Bahia, Alagoas and Sergipe. These experiments were conducted in the years 2011, 2012 and 2013, the sowing times of dry, winter and rainy. The experimental design was a randomized block design with three replications and plots of four lines, with 4 m row. The experiments consisted of 17 carioca common bean genotypes: thirteen elite lines and four controls (BRS Estilo, Pérola, BRS Sublime e CNFC 10762). The agronomic traits were evaluated: grain yield, plant architecture, lodging and reaction to anthracnose, angular leaf spot, common bacterial blight and wilt bacterial wilt, in addition to grain quality traits: visual aspect of grain, sieve in yield, 100 100 weight, cooking time and crude protein concentration. Individual and combined analyses of variance were realizedand analysis of adaptability and stability, the Nunes graphical method, for all characters. The index posts sum was used for the selection of genotypes favorable phenotypes for most traits, in addition to adaptability and joint stability. High environmental influence and interaction GxE in phenotypic expression for agronomic traits and traits related to grain quality was detected. It was possible to select genotypes with superiority for each character set. The use of the estimates of adaptability and stability combined with selection index was useful in evaluating genotype performance against the environmental variations. The lines CNFC 15033, CNFC 15070, CNFC 15025, CNFC 15049 and CNFC 15086 combined phenotypic good sized, high adaptability and stability for most agronomic traits. The genotypes who stand out for grain quality characters were CNFC 15097, CNFC 15038, CNFC 15025, CNFC 15033 and BRS Estilo. From these results, CNFC 15025, CNFC 15033, CNFC 15097 and CNFC 15038 line highlighted by to associate traits of agronomic interest the high quality of grain, as well as being stable and adapted to different cropping regions. Thus, these breeding lines have potential to be indicated as new cultivars and/or used as parents in breeding programs aimed at improving these phenotypes.Item Potencial genético de populações segregantes de feijoeiro-comum para escurecimento e cocção dos grãos(Universidade Federal de Goiás, 2012-03-08) Silva, Fernanda de Cássia; Pereira, Helton Santos; Melo, Leonardo Cunha; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Chiorato, Alisson Fernando; Brasil, Edward Madureira; Pereira, Helton SantosThe obtain cultivars which have slow darkening allows storage of grains for a longer period, making it more flexible bean market. Recent studies have demonstrated the possibility of selecting line of common bean grain slow darkening. The objectives of this study were i) to select parents who meet slow darkening, low cooking time after storage and productivity, ii) select promising populations segregating for extraction of lines, iii) determine the relationship between the slow darkening of the grains and shortest time cooking after storage, and iv) determine the genetic control of slow darkening the grains in the populations evaluated. We used twelve common bean genotypes divided into two groups: group I consists of two genotypes with slow darkening of grains, and group II consisted of ten genotypes with regular darkening of grains, which were crossed according to the partial diallel genetic design, yielding twenty populations. The population obtained in this diallel were evaluated, along with his parents in Santo Antônio de Goiás/inverno/2010-F3 (STO) and Ponta Grossa/águas/2010-F4 (PGA) in randomized complete block design with three replications and four lines meters. The characters were: the darkening of grain during the storage, by grading scale, the cooking time after storage (TCA) by means of Mattson cooker, and yield. We conducted analyzes of individual variance and joint, and then analyzes diallel during storage. It was observed phenotypic segregation to grain in the darkness of populations, from the chi-square test. For the darkening of grains, the parents BRSMG Madrepérola (group I), IPR Siriri e CNFC 10429 (group II) contributing to the slow darkening of the grain, with high CGC. The population that better were BRSMG Madrepérola x CNFC 10429 and BRSMG Madrepérola x IPR Siriri. For TCA, the parents who contributed to low cooking time were BRS Requinte (group I), IPR Saracura and BRSMG Majestoso (both group II). The populations that showed the reduction to this character were BRS Requinte x BRS Estilo and BRS Requinte x BRS 9435 Cometa. For grain yield the parents who contributed to this character additions were BRSMG Madrepérola (group I), BRS Estilo and CNFC 10429 (group II). Among the best populations for productivity, the most relevant populations BRSMG Madrepérola x CNFC 10429, BRSMG Madrepérola x CNFC10429, BRSMG Madrepérola x BRS Estilo, BRS Requinte x CNFC 10429. There were no parents and populations who meet the desirable phenotypes for the tree characters together. However, the line CNFC 10429 and populations BRSMG Madrepérola x CNFC 10429 e BRSMG Madrepérola x BRS Estilo sood out by gathering slow darkening and productivity, with promising for plant breeding. No linear association has been detected between the slow darkening and shorter cooking grain after storage. High correlation was found between the evaluation periods for the darkening of the grain. For the darkening of the grain populations were detected with mono and bigenic inheritance, indicating that this character is controlled by few genes. It was found also that for the elucidation of the genetic control of slow darkening of grain these is a need to evaluate different populations in different environments due to the presence of G x E interation for this trait. Based on these results suggest that there is variability in the darkening of the grains and parents are well variability in the darkening of the grains and parents are well adapted, and these may lead to promising populations, aiming at the selection of strains with slow darkening of the grains.Item Desempenho de famílias de feijoeiro-comum de uma população de seleção recorrente para resistência ao crestamento bacteriano comum(Universidade Federal de Goiás, 2017-08-30) Silva, Helton Salles da; Melo, Leonardo Cunha; http://lattes.cnpq.br/9132553601896172; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Resende, Marcela Pedroso Mendes; Silva, Fernanda de CássiaThe common bean culture (Phaseolus vulgaris L.) plays an important role in human feeding and its use occurs in a wide range of planting’s systems. Therefore, it is indeed necessary to develop cultivars adapted to these different systems and which serves both the needs of producers and consumers. Different factors have contributed to decrease the crop yield, among these, we highlight the common bacterial blight (CBB) caused by Xanthomonas axonopodis pv. Phaseoli and Xanthomonas fuscans subsp. Fuscans. In this sense, the main objectives of the present study was to: (i) evaluate the genetic potential and to select superior progenies from a population of recurrent selection for resistance to CBB in common bean of the black commercial group; (ii) study the adaptability and stability of families S0:4, S0:5 and S0:6 in different environments; (iii) estimate the genetic gains obtained with the selection of the ten best families; and (iv) select families that are resistant to CBB while associated to other variables of agronomic importance such as grain yield, plant bedding and resistance to anthracnose. Sixty families of a C0 population were evaluated in the years 2015 and 2016 in different environments, in randomized blocks design with three replicates. After the evaluations, analyzes of individual and joint variance were performed, as well as the application of the ranks sum index using “Genes” software. Subsequently, analyzes of adaptability and phenotypic stability were performed in the selected families, using the methodology of Nunes et al. From the simultaneous selection for grain yield and resistance to CBB, ten families considered more promising were selected. Then, a new selection was made, including the plant bedding criteria and, lastly, the variable anthracnose resistance was included. Selection gains were obtained for all the variables. Most of the selected families presented better individual results in relation to the resistance to CBB variable. And the great majority of the selected families presented themselves adapted and stable, mainly in comparison with other bean treatments. Among the families with the best performance, the families SRCP.55 and SRCP.318 were highlighted for grain yield, resistance to CBB and anthracnose. By selecting these families, it is expected that they may be used in hybridization stages carried out in new studies, either as parents in other programs as sources of resistance to CBB, or in their use as new cultivars.Item Seleção recorrente na população CNA9 de arroz de terras altas para tolerância e responsividade ao fósforo(Universidade Federal de Goiás, 2015-02-12) Vidotti, Miriam Suzane; Colombari Filho, José Manoel; http://lattes.cnpq.br/6219757785427246; Oliveira, Tereza Cristina de; Melo, Patrícia Guimarães Santos; http://lattes.cnpq.br/1508679345970114; Melo, Patrícia Guimarães Santos; Fritsche Neto, Roberto; Rangel, Paulo Hideo Nakano; Colombari Filho, José ManoelThe upland rice has a high potential for expansion in the Brazilian savannahs region, where soils have limiting factors to yields, such as low phosphorus (P) availability. Considering the costs and the natural reserves scarcity, a suitable alternative is to explore the genetic resources to develop cultivars with P deficiency tolerance and P-use efficiency. Given the polygenic inheritance of these traits, a strategy is to concentrate the favorable alleles gradually through recurrent selection. The objectives of this study were to estimate genetic and phenotypic parameters, and evaluate progenies from CNA9/3/1 recurrent selection population of upland rice for the tolerance to P deficiency in the soil. In 2011/12 crop year, in Santo Antônio de Goiás-GO and Sinop-MT, two contrasting trials were conducted within each location: low and high P-level determined by the clay content of the soil, and without discrimination of other crop practices. The simple square lattice design 14 x 14 was adopted, with 189 S0:2 progenies and seven checks, with plots consisted of four 3-m-long rows. Grain yield (GY, in kg ha-1), plant height (PH, cm) and days-to-flowering (DF, in days) were evaluated. The individual variance analysis by location and by P-level were obtained, well as their phenotypic, genetic and environmental correlations. Only for PG, genetic and phenotypic parameters were estimated from joint analysis of variance within each P-level, and involving locations and P-levels. Estimates of the expected response to selection were obtained for the two P-levels, considering the direct, indirect and general selection criteria, and also the Harmonic Mean of Relative Performance (𝑀𝐻𝑃𝑅) and Tolerance Index (𝐼𝑇) of the genotypes identified as efficient and responsive from a graphic dispersion of adjusted means. The overall average of the GY was reduced significantly in 27% for P deficiency in the soil and the genetic variance among S0:2 progenies (𝜎̂𝑝 2) was narrowed in 63%. Highly significant diferences (p≤0.01) were observed among progenies, demonstrating the presence of sufficient genetic variability for GY, in this population, to obtain genetic progress in both P-levels. The progenies showed performance significantly (p≤0.01) below the of checks and also a significant interaction (p≤0.01) with locations, in both P-levels. The genotype x Plevel interaction was significant (p≤0.01) and the phenotypic correlation (√R2) between Plevels was low (0.44). In this sense, the expected response to selection demonstrated that progenies must be evaluated in P-deficient environments to obtain effective genetic gain in this environment. The genetic correlations between traits were significant (p≤0.01) and are favorable for the selection of genotypes with tolerance to P deficiency, short plant height and early cycle. However, there is a greater difficulty in increasing the yield potencial, since there the genetic correlation between this trait and PH was significant (p≤0.01) and positive (𝑟𝐺= 0.385). From the graphic dispersion of S0:2 progeny means have been identified 57 efficient and responsive to the presence of P in the soil, and for the selection within this group, the 𝑀𝐻𝑃𝑅 was more appropriate than 𝐼𝑇, because considering simultaneously these two attributes.