scholarly journals PHENOTYPIC MODELS OF COMPETITION FOR Pinus taeda L GENETIC PARAMETERS ESTIMATION

CERNE ◽  
2017 ◽  
Vol 23 (3) ◽  
pp. 349-358
Author(s):  
Vanessa Ishibashi ◽  
Diego Tyszka Martinez ◽  
Antonio Rioyei Higa

ABSTRACT The objective of this study was to evaluate the efficiency of the phenotypic models of competition, through spatial analysis in the genetic evaluation of Pinus taeda L progenies. For this, four competition covariates were used to adjust the phenotypic values in a P. taeda progeny test installed in four different locations in the state of Santa Catarina. The test was implemented in randomized block design, with seven repetitions, linear plots containing six plants per plot in 2.5 m x 2.0 m spacing. The test installed in sites A, B, and D present 63 families and site C 53 families. At nine years old, the diameter at the breast height was measured for all individuals. The presence or absence of competition was based on the residual autocorrelation coefficients, which had its significance tested by the Durbin-Watson test. In general, the use of covariates corrected the competition effect. The variances among and within plots, as well as the residual variation coefficient, were reduced. The classification by the genetic effect of the individuals in the progeny test was extremely altered for this data set with and without the use of covariates for sites A and D, as well as the genotype x environment interaction. The use of these two tools is of great importance in the analysis of data in P. taeda progeny tests, since the effects of competition can lead to mistakes in the selection of individuals and in the definition of improvement zones.

FLORESTA ◽  
2013 ◽  
Vol 43 (4) ◽  
pp. 621
Author(s):  
João Paulo Druszcz ◽  
Nelson Yoshihiro Nakajima ◽  
Sylvio Pellico Netto ◽  
Sebastião do Amaral Machado ◽  
Nelson Carlos Rosot ◽  
...  

Este estudo foi conduzido em três diferentes condições de plantações de Pinus taeda L., sem desbastes, com 10, 9 e 7 anos de idade, 2.000 árvores por hectare e diferentes inclinações no terreno, localizados no Estado do Paraná. O objetivo foi avaliar a eficiência do inventário florestal, utilizando-se a amostragem de área fixa com a estrutura de parcela circular (PC) e conglomerado em cruz (CC), através da análise do comportamento quanto às precisões e eficiências relativas nas estimativas das seguintes variáveis: diâmetro médio (cm), número de árvores por ha, área basal (m2/ha) e volume total (m3/ha). Para isso, utilizou-se o delineamento em blocos casualizados com 40 unidades amostrais para a PC e 10 unidades para o CC, sendo este composto por 4 subunidades circulares. Concluiu-se que, para as variáveis diâmetro médio (cm), número de árvores (N/ha), área basal (m2/ha) e volume total (m3/ha), indica-se a utilização do método de área fixa com PC, tendo em vista a maior eficiência no levantamento dessas variáveis.Palavras-chave: Eficiência relativa; precisão; reflorestamento. AbstractStructural efficiency of two variations of method of sampling of fixed area in plantations of Pinus taeda. This study was carried out in three different stands of Pinus taeda L., unthinned and aged 10, 9 and 7 years. The stands have 2.000 trees per hectare and are located in Parana State. The aim was to evaluate the efficiency of inventories using circular plot (PC) and cross cluster (CC) by analyses of behavior towards accuracies and relative efficiencies for estimation of the following variables: average diameter at breast height, number of trees, basal area and total volume per hectare. For this study, it was taken a sample of 40 units to the PC structure and 10 units for the CC structure, which is composed of four circular subunits, and it was used the randomized block design. It was concluded that for the variable diameter (cm), number of trees (ha), basal area (m2/ha) and total volume (m3/ha) it is indicated the use of PC, since its greater efficiency in the survey of these variables.Keywords: Relative efficiency; accuracy; reforestation.


Revista CERES ◽  
2017 ◽  
Vol 64 (2) ◽  
pp. 159-166 ◽  
Author(s):  
Helton Santos Pereira ◽  
Renata Cristina Alvares ◽  
Leonardo Cunha Melo ◽  
Antônio Félix da Costa ◽  
Hélio Wilson Lemos de Carvalho

ABSTRACT The objectives of this work were to study the genetic variability and the interaction between genotypes and environments for cooking time and protein content of bean grains as well as to identify elite lines of Carioca grain type with short cooking time, high protein content and high adaptability and stability for these two traits. Sixteen experiments were conducted in a complete randomized block design with three replications during the rainy, dry and winter seasons, in Goiás, Distrito Federal, Pernambuco, Sergipe, Bahia and Paraná States, in 2009 and 2010. Each trial was composed by 16 elite lines of Carioca grain type and the data of cooking time and protein content were obtained. Data were submitted to analysis of variance and to stability and adaptability analysis, according to the methodology proposed by Annichiarico. Genetic variability was found for cooking time and for protein content among Carioca common bean elite lines; however, for protein content this variability is lower. The environmental effect is important for the expression of these traits and is larger than the genetic effect. The interaction between genotypes and environments is important for cooking time and for protein content of common beans. The lines CNFC 11951 and CNFC 11962 presents short cooking time, high protein content and high stability and adaptability for both traits.


Author(s):  
Hari Kesh ◽  
Khushi Ram Battan ◽  
Rakesh Kumar

Background: Basmati rice is an important cereal crop occupying a unique position in Indian agriculture. More than 90% of global rice is produced and consumed in Asia and plays a crucial role in the entry of mineral nutrients into the food chain. Identification of stable genotypes is of great significance because the environmental conditions vary from season to season and year to year. Methods: Thirty six Basmati rice genotypes were evaluated in four production environments during kharif 2016 and kharif 2017 at two locations Kaul and Uchani to study the G × E interaction for milling, appearance, cooking and eating quality parameters. The genotypes were grown in randomized block design with three replications. Result: Based on the stability analysis of Eberhart and Russell model, genotypes viz., Haryana Mahak 1, Pusa 1826-12-271-4 and HKR 06-434 were found stable across the environments for milling%, grain length before cooking and length breadth ratio before cooking, respectively.


Author(s):  
D. S. Ferreira ◽  
J. F. T. do Amaral ◽  
L. L. Pereira ◽  
J. M. S. Ferreira ◽  
R. C. Guarçoni ◽  
...  

Abstract The production of specialty coffee has several factors and parameters that are added up in the course of production, so that the quality is expressed in the act of consumption. Based on this scenario, this study included the analysis of ten genotypes of arabica coffee, the materials being subjected to irrigated and rainfed water regimes, in a low altitude region, to identify responses for sensory and physical–chemical quality. The genotypes were evaluated in a split-plot scheme with a randomized block design, with three replications. Arabica coffee fruits were harvested with 80% cherry seeds and processed by the wet method. Subsequently, the characteristics related to physical–chemical and sensory analyses were evaluated. The genotypes of the Paraíso group showed great variability for the physical–chemical and sensory variables for rainfed and irrigated regimes. The genotypes of the Catuaí group, however, showed less variability for sensory characteristics in both cultivation environments and for physical–chemical characteristics in the irrigated regime. In the sensorial data set, the genotypes Catuaí 144 CCF and Catuaí 144 SFC (when irrigated) and Paraíso H 419-3-3-7-16-2, Paraíso H 419-3-3-7-16-11 and Catucaí 24-137 (rainfed cultivation), are more favourable to the production of specialty coffee at low altitude.


Genetics ◽  
2012 ◽  
Vol 190 (4) ◽  
pp. 1503-1510 ◽  
Author(s):  
M. F. R. Resende ◽  
P. Muñoz ◽  
M. D. V. Resende ◽  
D. J. Garrick ◽  
R. L. Fernando ◽  
...  

Author(s):  
Marcio Eckardt ◽  
Ila R. M. Cardoso ◽  
Núbia A. da Silva ◽  
Yolanda V. de Abreu ◽  
Flávio S. Afférri ◽  
...  

ABSTRACT Crop yield depends on interaction between genetic and environmental factors, making it essential to study adaptability, stability and environmental stratification in order to mitigate the effects of this interaction. Four experiments were conducted to assess competition between corn cultivars in the 2018/19 growing season, two in Paraíso do Tocantins and two in Palmas, with sowing performed on November 5, 2018 and January 15, 2019. Cultivar-environment interaction was analyzed in genetically modified (GM) and non-GM commercial corn cultivars in the Vale do Araguaia region of Tocantins state (TO), Brazil, A randomized block design was used for all the experiments, in 3 × 12 factorial scheme, with three doses of nitrogen fertilizer as topdressing (50, 100 and 150 kg of N ha-1) and 12 commercial cultivars (six non-GM, 1CHD, 2CV, 3CV, 4CV, 5CTH, 6CDH and six GM, 7GTH, 8GTH, 9GSH, 10GSH, 11GSH, 12GSH. For statistical analysis, the N dose in each experiment represented a different environment. The characteristic studied was grain yield, using the adaptability and stability methods as well as environmental stratification. Different responses were observed between the GM and non-GM cultivars. Most of the GM and non-GM cultivars were better adapted to favorable and unfavorable environments, respectively. All the environments exhibited similar behavior regardless of location, sowing time and the N dose used, demonstrating that fewer environments can be used in future breeding research.


2019 ◽  
pp. 1009-1016
Author(s):  
Hermes Araméndiz- Tatis ◽  
Miguel Espitia- Camacho ◽  
Carlos Cardona- Ayala

Cowpea (Vigna unguiculata (L.) Walp) is a source of low cost protein for food, and is currently used in family farming in northern Colombia. The aim of this study was to estimate the adaptability and phenotypic stability of the grain yield (per hectare) of nine advanced lines (plus control) of cowpea and a commercial control in eight contrasting environments of the tropical dry forest of the Colombian Caribbean region. We employed five analysis methods: Eberhart and Russell, Lin and Binns, Annichiarico, Carneiro, and Nascimento et al. A completely randomized block design was used with 9 genotypes +1 control and four repetitions per environment. The analysis of variance detected significant differences in environments, genotypes and in the genotype x environment interaction, confirming that the crops have become sensitive to differences of the environments. At the same time, we forced to consider adaptability and stability for the selection of the best genotype. The five methods of analysis coincided with identification of line L-019 as the best genotype due to its grain yield, adaptability and phenotypic stability. Therefore, L-019 is a new planting alternative for family agriculture of cowpea producers in the Colombian Caribbean.


2017 ◽  
Vol 38 (2) ◽  
pp. 683
Author(s):  
Jossana Santos ◽  
Simone Meredith Scheffer-Basso ◽  
Nadia Canali Lângaro ◽  
Sandra Patussi Brammer

Morphological and phenological characters are used in the selection, breeding, and description of plant varieties with varying genotypes. The stability of these descriptors in the face of environmental changes can determine their usefulness in situations where plant varieties must be reliably identified. The objective of this study was to verify the expression of morphological and phenological descriptors and use them to distinguish between white oat cultivars (Avena sativa L.) in two growing periods. For this, five cultivars, protected and belonging to four breeders, referred to as G1, G2, G3, G4, and G5, were sown in the typical growing season in southern Brazil (autumn-winter) and outside that period (winter-spring), and grown for forty days. The experiment was established in the field, in a randomized block design replicated three times. The cultivars were evaluated for 42 descriptors (15 quantitative and 27 qualitative). Quantitative data were analyzed by analysis of variance, the comparison of averages, and multivariate analysis by generating average euclidean distances. Qualitative data were analyzed by mode determination, followed by obtaining the similarity index. The relationship between cultivars was illustrated by dendrograms. The stability index for each descriptor was calculated. A genotype x environment interaction was observed for 28 descriptors. The stability of descriptor appearance and persistence over the growing season was higher in qualitative (44%) than in quantitative (7%) descriptors. The most stable qualitative descriptors were lemma color, hairiness of the upper node, flag leaf position, hairiness of the base of the grain, basal grain length, and rachilla length. The most stable quantitative descriptor was flag leaf length. Shifting the white oat growing season from autumn-winter to winter-spring reduced the cycle and modified the expression of most descriptors by changing the phenotypic distinctness between cultivars.


2020 ◽  
Vol 6 (2) ◽  
pp. 169
Author(s):  
I Wayan Sudika ◽  
I Nyoman Soemeinaboedhy

This research aimed to identificate the selection response, the avarage of yield and fresh stover weight of corn during eight cycles of mass selection with basic index technique and observe the genetic parameter of quantitative characteristics. The randomized block design was used to test the selected with 11 treatment populations. Each treatment was replicated 3 times, in order to obtain 33 experimental units. The experimental data were analyzed with analysis of variance at 5 % levels. The average treatment was tested by the LSD0.05. The selection response was obtained from the simple linear regression coefficient between the observed traits with selection cycles. The result of this research, shows the yield and fresh stover weight has a response mass selection with basic index technique per cycle at 0.230 kgplot-1 (3.39 %) and 10.633 gtan-1 (4.21 %), respectively; both of them moderate catagories. The average of yield of eighth cycle population was higher compare to initial population and Gumarang; but the same with Lamuru variety. The weight of fresh stover was the same between treatments. The yield of initial population, eighth cycle population, Gumarang and Lamuru varieties were 5.653 tha-1; 8.035 tha-1; 5.278 t ha-1 and 7.410 tha-1, respectively. The increased of plant height, total number of leaves per plant, number of fresh leaves at harvest and all yield components, were increased the yield. The increased of fresh stover weight occured when there were increased in plant height, total number of leaves, stem diameter and number of fresh leaves at harvest. The characteristic with the higher genetic effect than the environment effect found in weight of ear harvest, length of ear and yield.


Author(s):  
Joel Jorge Nuvunga ◽  
Alessandra Querino da Silva ◽  
Cristian Tiago Erazo Mendes ◽  
Gabriel Cossa ◽  
Luciano Antonio de Oliveira ◽  
...  

Rice is one of the world’s most important crops. The search for genotypes that are more productive and have wide adaptation to different environments is paramount. One of the major breeder’s obstacles faced is identification of superior strains is the presence of Genotype × Environment Interaction (GEI), which motivated the development of countless statistical procedures aiming to offer more efficient studies. In this work we analysed adaptability and stability of 13 upland rice lineages as part of a genetic improvement program in nine different environments, resulting from local combination and years of agriculture. The experiment was conducted in a completely randomized block design, with three replicates. The main variable is the grain storage in kg/ha. The model applied is the Bayesian Main Additive Effects and Multiplicative Interaction (Bayesian-AMMI). Our implementation implies an extra assumption of random effects from genotypes coming from a single population as opposed to previous works in the literature. Credibility regions with maximum posteriori density allowed identification of cultivars with higher average yield. Stable genotypes showed an initial evidence of adaptation to an environment in this rice breeding program. Bayesian-AMMI is flexible, and starts to be more widely used, but our suggestion is promising in making it a more powerful tool


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