Functional Plant Breeding Journal <div style="text-align: justify;"> <p>The FPBJ – Functional Plant Breeding Journal – constitutes an important instrument for the publication of original research papers related to plant breeding. The FPBJ aims to publish original research papers focusing on the cultivar development. In this sense, it covers topics related to germplasm and breeding methods such as recurrent selection, backcrossing, mating designs, breeding programs. It also comprises methodological, statistical, computational and molecular advances when used in the context of the cultivar development. The FPBJ covers all annual and perennial crop species.</p> </div> en-US (Antonio Teixeira do Amaral Junior, UENF - Senior Editor) (Alexandre Pio Viana, UENF - Executive Editor) Sun, 19 Sep 2021 19:20:39 +0000 OJS 60 IS IT POSSIBLE TO OBTAIN SHORT CYCLE COMMON BEAN (Phaseolus Vulgaris L.) LINES WITH GRAIN YIELD SIMILAR TO NORMAL CYCLE LINES? <p>The cycle of the common bean crop is shorter than that of other species. Nevertheless, in Brazil, researchers have been attempting to shorten the cycle even more to allow three crops a year and obtain greater flexibility in crop management. The aim of this study was to investigate the viability of selecting lines with a shorter cycle and that have good grain yield coming from the same segregating population. To that end, crosses were made between a short cycle and normal cycle cultivars. In the F2 and F2:3 generations, progenies were separated into two groups based on short or normal cycle. After that, the progenies selected were evaluated in the F2:4 and F2:5 generations for grain yield, cycle, and yield per day. The mean of the short cycle progenies was 15% lower for grain yield and 10% lower in yield per day in relation to the normal cycle progenies. Furthermore, selection of lines among those of short cycle that have grain yield equivalent to the best normal cycle lines is of very low probability.</p> Thais Lima Marques, Ângela de Fátima Barbosa Abreu, Magno Antonio Patto Ramalho ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 BAYESIAN INFERENCE AND PREDICTION APPLIED TO THE POSITIONING OF WHEAT YIELD GROWN IN SOUTHERN BRAZIL <p>The best genotype aimed at a favorable environment, biometric alternatives should be applied with clarity to recomend which are the cultivars specific to the macro and micro regions. This work aims to estimate and predict the strategic positioning of wheat genotypes in the triticultural environments of Rio Grande do Sul, using fixed linear, mixed linear and bayesian models. The experimental design used was randomized blocks organized in a factorial scheme, with four crop seasons (2013, 2014, 2015, and 2016), three repetitions x nine growing environments. The AMMI and GGE adaptability and stability models were applied to the three statistical scenarios, defining that scenario I represents the estimates obtained by the fixed linear model, scenario II expresses the estimates and predictions obtained by the mixed linear model and scenario III shows the probabilistic predictions obtained by the Bayesian inference. Estimates of variance components and genetic parameters for wheat grain yield in the state of Rio Grande do Sul are expressed by 15% due to the inherent genetic effects of selecting the best genotype. The growing environments Vacaria - RS, São Gabriel - RS and Cachoeira do Sul - RS Season II revealed the greatest genetic contributions to maximize wheat grain yield regardless of the crop season. The mixed linear model allows the formation of a macroenvironment composed by the São Gabriel - RS and São Luiz Gonzaga - RS environments. Regardless of the model used, the highest grain yields were obtained through the ORS 1402, LG Oro, and Jadeíte 11 genotypes.</p> Ricardo de Oliveira Schneider, Ivan Ricardo Carvalho, Vinícius Jardel Szareski, Kassiana Kehl, Alexandre Moscarelli Levien, José Antonio Gonzalez da Silva, Danieli Jacoboski Hutra, Velci Queiróz de Souza, Francine Lautenchleger, Murilo Vieira Loro ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 DIGITAL PHENOTYPING IN INBRED GUAVA LINES: SEED CHARACTERIZATION <p>Guava, Psidium guajava L., is a species of economic importance for several countries. The production of new varieties of guava from seeds with good germination and vigor potential has been investigated. In this scenario, the present study characterized and estimated the genetic diversity of seeds of 42 genotypes of guava from an S2 family based on germination response, vigor tests, and digital phenotyping analysis. The experiment was laid out in a randomized-block design with four replicates. Descriptive statistics were carried out for each of the analyzed variables and multivariate analyses were used to estimate genetic diversity based on Gower’s Distance. Digital analysis was performed using the GroundEye S120 system, which extracted color, geometry, texture, and histogram data. In total, three color, two geometry, five texture, four physiological analysis, and 17 histogram variables were used. The physiological variables and those obtained by digital phenotyping were efficient to discriminate the genotypes, indicating that there is genetic variability to be exploited within the guava breeding program. The traits that most contributed to genetic diversity were those related to the histogram. The genotypes belonging to groups I and III had the highest means for germination percentage, thousand-seed weight, and shoot length. Based on the results, two options are viable for conducting the guava breeding program. The most vigorous individuals can be self-pollinated for the development of lines and the superior and most divergent ones from groups I and III can be crossed to exploit heterosis. Thus, crosses between the most vigorous individuals from groups I and III are recommended, as they exhibited higher means for the traits of germination percentage, thousand-seed weight, and shoot length.</p> Carla Caroline Amaral da Silva, Henrique Duarte Vieira, Alexandre Pio Viana, Eileen Azevedo Santos, Mariana Quintas Maitan ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 EVIDENCE OF ADDITIVE INHERITANCE OF POPPING EXPANSION IN POPCORN <p>Questions about the faithful inheritance of the trait popping expansion (PE) in popcorn persist even eight decades after the first correlated study was initiated, raising doubts with regard to the best-suited breeding plans to obtain consistent genetic progress. The objective was to fill this scientific gap by implementing a genetic-statistical system based on analyses of segregating and non-segregating generations, for a more thorough examination of the partitioning of the genetic variance components in the expression of popping expansion in popcorn. Four crosses between popcorn (P) and dent corn (D) inbred lines were used [D29.109 x P9.4.6; D70H26.1 x P9.4.6; D60H23.1 x P9.4.6; D53H20.2 x P13] to establish the generations F1, F2, BC1 and BC2, which were evaluated together with the parents at two locations in the Northwest of Paraná, in randomized complete block design with three replications. The parents were chosen for their high divergence in PE to adequately establish generations. Additivity in PE expression was predominant in all crosses and at both locations. Intrapopulation breeding methods are the most suitable for selection gain in PE. Popping expansion can be used as an early predictor of promising inbred lines to obtain superior hybrids for popping expansion. Backcross methods are realistic and should be preferred in popcorn breeding. It is recommended to transfer the PE alleles from popcorn to common maize lines to combine vigor and high popping expansion.</p> Omar Possatto Júnior, Ronald José Barth Pinto, Evandrei Santos Rossi, Maurício Carlos Kuki, Filipe Augusto Bengasi Bertagna, Pedro Henrique Araújo Diniz Santos, Carlos Alberto Scapim ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 GENETIC VARIABILITY IN INBRED GUAVA FAMILIES MEDIATED BY AGRONOMIC TRAITS <p>The aim of this study was to evaluate the existing diversity among genotypes from inbred guava families obtained from a breeding program. To characterize the 61 genotypes, 51 descriptors were evaluated, including 15 quantitative, 16 qualitative, and 20 seed descriptors obtained digitally using the Graundeye® image analysis system. Based on the quantitative, qualitative, and seed descriptors, the Ward-MLM strategy was employed and was efficient in detecting divergence among guava genotypes using qualitative and quantitative descriptors. The evaluated population has genetic diversity and genotypes with important agronomic traits that allow the continuity of the breeding program with genetic gains. The descriptors that most contributed to divergence among the evaluated guava genotypes were leaf length/width, fruit length, fruit pulp thickness, leaf length, and fruit pulp weight. The seed descriptors obtained by digital image analysis were useful in estimating genetic diversity in guava.</p> Willian Krause, Natan Ramos Cavalcante, Alexandre Pio Viana, Moises Ambrósio, Eileen Azevedo Santos, Henrique Duarte Vieira ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 GENETIC CONTROL OF WHITE LEAF SPOT RESISTANCE AND ASSOCIATION MAPPING IN CORN <p>This study aimed to evaluate the genetic control of the resistance to white leaf spot (WLS) in corn by the analysis of means and variances and to identify genomic regions associated with resistance. To study genetic control, the parents, F1, F2, and Backcross for each parent were used in field evaluation for WLS resistance. For association mapping, 71 inbred lines were genotyped by SNP markers and phenotyped in the field for WLS resistance in two years. Association analysis was carried out by mixed linear model and multiple regression. The genetic control of WLS resistance in corn is oligogenic, with a small number of genes with additive effects. Association analysis identified three genes for resistance on chromosomes 2, 3, and 8, and just the genes on chromosomes 2 and 3 were enough for complete resistance based on multiple regression analysis. Markers identified in this study can be used in Marker Assisted Selection after being validated in specific germplasms.</p> Kaian Albino Corazza Kaefer, Adilson Ricken Schuelter, Leonardo Balbinotti Bastiani, Guilherme de Sousa Zilli, Ivan Schuster ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 ESTIMATES OF GENETIC PARAMETERS AND SELECTION OF THREE-WAY CROSS CUPUAS-SU TREE PROGENIES (Theobroma grandiflorum) <p>In fruit tree breeding programs there is a need for effective selection methods to develop and identify superior genotypes. Thus, this study aimed to estimate genetic parameters and select superior genotypes for a genotypic aggregate in three-way cross progeny of cupuassu tree. As such, 25 three-way cross progeny were evaluated using a randomized block design, with five repetitions and three plants per plot. The following variables were measured over eight harvests: average number of fruits per plant; average fruit production per plant (kg); and incidence rate of witches’ broom disease. The mixed model methodology (REML/BLUP) was used to estimate the components of variance and predict the genetic and genotypic values. The Additive Index was used to select families, and within these families select potential clones and genitors. The results showed the existence of genetic variability between families. This allowed the selection of progenies 125, 117, 130, 165, 131, 127, and 143, which resulted in a 14.3% gain in productivity, maintaining extremely low levels of witches' broom. In each progeny, individuals were selected to be recommended to producers in the form of clones, after clonal tests, and others that could be used as parents in the genetic breeding program of cupuassu tree, aiming to obtain more genotypes that are productive and with greater durability of resistance to witches’ broom, in the field.</p> Rafael Moysés Alves, Saulo Fabrício da Silva Chaves, Rodrigo Silva Alves, Jack Loureiro Pedroza Neto, Thalita Gomes dos Santos ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 SELECTION OF SOYBEAN F3 SEGREGANTING FAMILIES BY MULTIVARIATE MODELS <p>Breeding programs of soybean preconize the productivity as well as tolerance to biotic and abiotic stresses. In view of the lack of information regarding the multivariate selection of soybean segregating families, the objective of this study was to select superior soybean families and to define segregation patterns through multivariate models. The experiment was conducted in 2017/2018 the experimental design used was augmented blocks with 290 F3 segregating families, and seven cultivars homozygotes arranged in four repetitions. Was employed the frequency distribution, Euclidean algorithm, Tocher optimized grouping method, relative contribution methodology of Singh's and Artificial Neural Networks. Soybean segregating families express high genetic variability within and between the segregating populations of origin. The heterogeneities in the soybean segregation profile are derived from the genetic complementarity of the contrasting parents used. The multivariate models allow to define patterns for the selection of transgressive families that tend to the agronomic ideotype of the commercial cultivars.</p> Ivan Ricardo Carvalho, Danieli Jacoboski Hutra, Robison Davi Patias Furlan, Victor Delino Barasuol Scarton, Renan Jardel Rusch Treter, Jaqueline Piesanti Sangiovo, Christian Szambelam Zimmermann, Francine Lautenchleger, Murilo Vieira Loro, Leonardo Cesar Pradebon ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 MONTE PASCOAL: FIRST CLONAL CONILON COFFEE CULTIVAR FOR SOUTHERN BAHIA - BRAZIL <p>Monte Pascoal is a Coffea canephora cultivar derived from clones discovered and bred by farmers. It was evaluated at 140 m asl in the South of Bahia – Brazil for yield, plant vigor and pest and disease resistance. The cultivar with six genotypes produces a mean yield of 130 bags ha-1 year-1.</p> Fábio Luiz Partelli, André Monzoli Covre, Gleison Oliosi, Daniel Trevizani Covre ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000 BRS FC406: COMMON BEAN CULTIVAR WITH HIGH YIELD IN THE RAINY SEASON IN CENTRAL BRAZIL <p>BRS FC406 is a common bean cultivar with excellent seed size and yields in the rainy season in central Brazil, i.e, 19% more than BRS Estilo. It has a normal cycle, a mean yield of 2464 kg ha-1, a high yield potential (4472 kg ha1), and is resistant to anthracnose and angular leaf spot.</p> Helton Santos Pereira, Thiago Lívio Pessoa Oliveira de Souza, Luís Cláudio de Faria, Marcelo Sfeir Aguiar, Adriane Wendland, Joaquim Geraldo Cáprio da Costa, José Luiz Cabrera Díaz, Mariana Cruzick de Souza Magaldi, Nilda Pessoa de Souza, Hélio Wilson Lemos de Carvalho, Antônio Félix da Costa, Carlos Lásaro Pereira de Melo, Válter Martins de Almeida, Leonardo Cunha Melo ##submission.copyrightStatement## Sun, 19 Sep 2021 00:00:00 +0000