Correlações canônicas entre caracteres morfológicos e componentes de produção em trigo de duplo propósito

Carvalho, Ivan Ricardo; Souza, Velci Queiróz de; Nardino, Maicon; Follmann, Diego Nicolau; Schmidt, Denise; Baretta, Diego

doi:10.1590/s0100-204x2015000800007

Cited by 30 publications

(27 citation statements)

References 17 publications

(22 reference statements)

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“…The experimental design was randomized block, arranged in factorial scheme with three growing seasons (2011, 2012 and 2013) x five dual-purpose wheat genotypes (BRS Tarumã,BRS Umbu,BRS Figueira,BRS Guatambu and BRS 277) x three cutting management (first cutting, second cutting and third cutting), and the treatments were arranged in three replicates. The cuttings were carried out at 0.30 m of height from the soil level until the last expanded leave, and then a manual clip was realized of all experimental unit in the height 0f 0.10 m from the soil level (Carvalho et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Research Article Heritability profiles defined by hierarchal models and artificial neural networks for dual-purpose wheat attributes

Carvalho¹,

Silva²,

Ferreira³

et al. 2019

Genet. Mol. Res.

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Dual purpose wheat could be a good alternative for helping overcome the need to import this cereal in Brazil. To achieve this, development of cultivars with high yield is necessary. The contribution of genetics in defining traits is very important for directing breeding programs for the development of cultivars that provide the desired agronomic ideotype. We estimated heritability for 36 characters of agronomic importance in dual-purpose wheat. The inheritable genetic patterns were examined using linear trends, a Euclidean algorithm, factor analysis and artificial neural networks. The study was carried out during the crop seasons of 2011, 2012 and 2013. The experimental design was randomized block, arranged in a factorial scheme with three growing seasons (2011, 2012 and 2013) and five dual-purpose wheat genotypes (BRS Tarumã, BRS Umbu, BRS Figueira, BRS Guatambu and BRS 277) x three cuttings (first cutting, second cutting and third cutting), with three replicates. Deviance analysis or maximum likelihood was significant for the 36 characters. The length of the head of the main plant, plant height ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18266 I.R. Carvalho et al. 2 before the first second cutting and dry mass of the seedlings showed high variability. The 36 characters expressed linear genetic dependence based on the Euclidean Algorithm; similar to what was found with the Tocher Optimized Clustering and Artificial Neural Networks K-means methods. Similar genetic trends for heritability profiles were obtained with factor analysis and Artificial Neural Networks by the Kohonem method. The use of Artificial Neural Networks through the Kohonem method gave the greatest efficacy in the definition of the genetic profiles needed to develop the recommended agronomic ideotype for the improvement of dualpurpose wheat.

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Section: Methodsmentioning

confidence: 99%

Research Article Heritability profiles defined by hierarchal models and artificial neural networks for dual-purpose wheat attributes

Carvalho¹,

Silva²,

Ferreira³

et al. 2019

Genet. Mol. Res.

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“…The number of ears per square meter (NEM), grain yield (YIELD), number of grains per ear (NGE), grain mass per ear (GME) , hectoliter weight (HW), dry matter productivity (DMP), fresh matter (FM), dry matter (DM), neutral detergent fiber (NDF), crude protein (PTN), lipids (LIP), acid detergent fiber (ADF), lignin (LIG), hemicellulose (HEM), cellulose (CEL), mineral material (MM), total carbohydrates (TC), non-fibrous carbohydrates (NFC), maximum air temperature (TMAX), minimum air temperature (TMIN), maximum air humidity (HMAX), minimum air humidity (HMIN), precipitation (PREC) and incident solar radiation (RAD) were recorded, according to the methodology of Carvalho et al (2015).…”

Section: Methodsmentioning

confidence: 99%

“…In this context, canonical correlations allow us to group variables of interest and determine associations between groups to enable indirect character selection (Cruz et al, 2012). For Carvalho et al (2015), canonical correlations show that there are modifications in the inter-relations of the morphological characters and the yield of grains according to cutting management. For Balbinot et al (2005), multiple regressions using stepwise analysis can be important tools for researchers, in order to select which attributes are determinant for the dependent character of interest.…”

Section: Introductionmentioning

confidence: 99%

Research Article Predictor model and canonical interrelationships based on morphological, bromatological and grain yield characteristics of dual purpose wheat

Silva¹,

Carvalho²,

Szareski³

et al. 2019

Genet. Mol. Res.

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We evaluated correlations between yield, meteorological and bromatological characters in five genotypes of dual-purpose wheat submitted to different cutting management systems. The experiments were carried out in 2014 and 2015. The experimental design was a randomized block, organized in a factorial scheme, with five genotypes of dual purpose wheat (BRS Tarumã, BRS Umbu, BRS Figueira, BRS Guatambu and BRS 277), three cutting managements (one, two and three cuts), with three replicates. The data of each cut management were submitted to linear correlation analysis, canonical correlations and stepwise predictions . We conclude that yield and bromatological components of the forage are closely related to the meteorological attributes and cut management. Neutral and acid detergent fiber, hemicellulose, mineral matter and total carbohydrates are influenced by maximum and minimum air temperature, as well as by incident solar radiation. The canonical interrelationships and the predictive models developed for the morphological, bromatological and grain yield attributes are specifically dependent on cut management in dual purpose wheat. ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (2): gmr18302 F.L. da Silva et al. 2

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“…Regarding to BRS 277 genotype, management with two cuts at the densities of 75; 225; 300 and 375 plant m -2 presented magnitude equal or superior than other managements; however, at the density of 150 plant m -2 higher magnitude of LAE was obtained in the management with one cut. According to Carvalho et al (2015), dual purpose wheats shows tolerance to defoliation and proper recovery of leaf area according to the severity of the cuts. Wheat productivity is associated with the accumulation of dry matter in pre anthesis (Fioreze and Rodrigues, 2014).…”

Section: Leaf Area On Elongationmentioning

confidence: 99%

“…Wheat (Triticum aestivum L.) is characterized as an annualcycle Poaceae, considered a staple cereal in food and feed. Besides use in the form of grains, it can be used as fodder, making it possible to perform animal grazing or mechanical cutting of the foliar area during the vegetative stages and later to harvest the grains from the physiological maturation.Wheat genotypes used for dual purpose have specific morphological characteristics such as high dry matter production, grazing/ defoliation tolerance, high yield potential and long growing season (Carvalho et al, 2015). These features enable the farmer to maximize business efficiency; therefore, enables the production of grains beyond as a forage alternative in seasons where the available volume is low (Martin et al, 2010;Martin et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2018

Aust J Crop Sci

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The aim of this study was to assess the performance of leaf area during the development of dual purpose wheat genotypes when subjected to different seeding densities and defoliation managements. The experiment was conducted in 2014 growing season in experimental area belonging to the Breeding Lab and Plant Production of the Federal University of Santa Maria Campus Frederico Westphalen-RS. The experimental design was a randomized complete block in a factorial treatment design, as follows: five genotypes (BRS Figueira, BRS Guatambu, BRS Tarumã, BRS Umbu and BRS 277) × five seeding densities (75; 150; 225; 300; 375 plant m-2) × four defoliation managements (without cut. one cut. two cuts and three cuts) arranged in three replications. The cuts were made when the plants reached 30 cm, leaving 10 cm for regrowth. Leaf area is influenced by defoliation management seeding densities and dual purpose wheat genotype. Increased in seeding density reduces leaf area in all genotypes. The larger leaf area at tillering was obtained at the density of 300 plant m-2 to management with three cuts for the genotypes BRS Tarumã, BRS Umbu, Guatambu BRS and BRS Figueira. The density of 300 plant m-2 provide increase on leaf area in flowering stage for BRS Umbu, BRS Guatambu and BRS 277 genotypes in all defoliation managements. Leaf area reduces in the grain filling when seeding density is increased for all defoliation managements in the genotypes BRS Tarumã, BRS Umbu and BRS 277.

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Correlações canônicas entre caracteres morfológicos e componentes de produção em trigo de duplo propósito

Cited by 30 publications

References 17 publications

Research Article Heritability profiles defined by hierarchal models and artificial neural networks for dual-purpose wheat attributes

Research Article Heritability profiles defined by hierarchal models and artificial neural networks for dual-purpose wheat attributes

Research Article Predictor model and canonical interrelationships based on morphological, bromatological and grain yield characteristics of dual purpose wheat

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