scholarly journals Adaptabilidade e estabilidade como critério de seleção de cultivares de trigo no Estado do Paraná

2015 ◽  
Vol 36 (5) ◽  
pp. 2933 ◽  
Author(s):  
César Luis Tavares ◽  
Claudio Guilherme Portela de Carvalho ◽  
Manoel Carlos Bassoi ◽  
José Salvador Simoneti Foloni ◽  
Cássio Egídio Cavenaghi Prete
Keyword(s):  
Grain Yield ◽  
Selection Process ◽  
Sowing Date ◽  
Distributed Environments ◽  
Yield Data ◽  
Wheat Genotypes ◽  
Selection Of

 <p class="Pa7">The aim of this study was compare some techniques to assess the adaptability and stability seeking the selection of wheat genotypes in Paraná State. The grain yield data were obtained from trial experiments of the Value of Cultivation and Use, as assessed in 44 different locations in distributed environments and sowing date. The study of adaptability and stability were evaluated based on Eberhart and Russell (1966), Lin and Binns (1988) revised by Carneiro (1998), Porto, Carvalho and Pinto (2007) and Rocha et al. (2005). The methods of Eberhart and Russell (1966), Lin and Binns (1988) revised by Carneiro (1998), and the method of Porto, Carvalho and Pinto (2007) showed similar results. These methods were superior to the method of Rocha et al. (2005), which was sloppy in the selection process. The method of Porto, Carvalho and Pinto (2007) had the advantage of simplifying the analysis of adaptability and stability.</p>

EFFECT OF SOWING DATE ON GRAIN YIELD OF CRAB GRASS

2001 ◽  
Vol 49 (3) ◽  
pp. 293-297
Author(s):  
S. O. Bakare ◽  
M. G. M. Kolo ◽  
J. A. Oladiran
Keyword(s):  
Grain Yield ◽  
Interaction Effect ◽  
Significant Interaction ◽  
Sowing Date ◽  
Yield Data ◽  
Significant Interaction Effect ◽  
Sowing Dates

There was a significant interaction effect between the variety and the sowing date for the number of productive tillers, indicating that the response to sowing date varied with the variety. A significant reduction in the number of productive tillers became evident when sowing was delayed till 26 June in the straggling variety as compared to sowing dates in May. Lower numbers of productive tillers were also recorded when the sowing of the erect variety was further delayed till 10 July. The grain yield data showed that it is not advisable to sow the straggling variety later than 12 June, while sowing may continue till about 26 June for the erect variety in the study area.

scholarly journals Improving the precision of genotype selection in wheat performance trials

2013 ◽  
Vol 13 (4) ◽  
pp. 234-240 ◽  
Author(s):  
Giovani Benin ◽  
Lindolfo Storck ◽  
Volmir Sérgio Marchioro ◽  
Francisco de Assis Franco ◽  
Ivan Schuster ◽  
...  
Keyword(s):  
Grain Yield ◽  
Field Trials ◽  
Adjustment Coefficient ◽  
Experimental Accuracy ◽  
Yield Data ◽  
Yield Performance ◽  
Wheat Genotypes

The aim of this study was to verify whether using the Papadakis method improves model assumptions and experimental accuracy in field trials used to determine grain yield for wheat lineages indifferent Value for Cultivation and Use (VCU) regions. Grain yield data from 572 field trials at 31 locations in the VCU Regions 1, 2, 3 and 4 in 2007-2011 were used. Each trial was run with and without the use of the Papadakis method. The Papadakis method improved the indices of experimental precision measures and reduced the number of experimental repetitions required to predict grain yield performance among the wheat genotypes. There were differences among the wheat adaptation regions in terms of the efficiency of the Papadakis method, the adjustment coefficient of the genotype averages and the increases in the selective accuracy of grain yield.

scholarly journals Tolerance to preharvest sprouting and yield of wheat genotypes from different breeding programs

2015 ◽  
Vol 50 (8) ◽  
pp. 698-706
Author(s):  
Rafael Nörnberg ◽  
José Antonio Gonzalez da Silva ◽  
Henrique de Souza Luche ◽  
Elisane Weber Tessmann ◽  
Sydney Antonio Frehner Kavalco ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Preharvest Sprouting ◽  
Rio Grande Do Sul ◽  
Falling Number ◽  
Breeding Programs ◽  
Wheat Genotypes ◽  
Randomized Complete Block Design ◽  
Superior Genotypes ◽  
Selection Of

Abstract:The objective of this work was to characterize the performance of elite wheat genotypes from different Brazilian breeding programs for traits associated with grain yield and preharvest sprouting. The study was conducted in 2010 and 2011 in the municipality of Capão do Leão, in the state of Rio Grande do Sul, Brazil, in a randomized complete block design with three replicates. Thirty-three wheat genotypes were evaluated for traits related to preharvest sprouting and grain yield. The estimate of genetic distance was used to predict potential combinations for selection of plants with high grain yield and tolerance to preharvest sprouting. The combined analysis of sprouted grains and falling number shows that the TBIO Alvorada, TBIO Mestre, Frontana, Fundacep Raízes, Fundacep Cristalino, and BRS Guamirim genotypes are tolerant to preharvest sprouting. Combinations of TBIO Alvorada and TBIO Mestre with Fundacep Cristalino show high potential for recovering superior genotypes for high grain yield and tolerance to preharvest sprouting.

scholarly journals Potential of the ESA23B maize population for protein and oil content improvement

2003 ◽  
Vol 60 (2) ◽  
pp. 319-327 ◽  
Author(s):  
Andréa Mittelmann ◽  
José Branco de Miranda Filho ◽  
Gustavo Júlio Mello Monteiro de Lima ◽  
Claudete Hara-Klein ◽  
Ricardo Takao Tanaka
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Oil Content ◽  
Zea Mays L ◽  
Block Design ◽  
Yield Data ◽  
Additive Variance ◽  
Maize Population ◽  
Randomized Block Design ◽  
Selection Of

Among the traits that may add commercial value to maize (Zea mays L.), those related to nutritional quality, specially protein and oil content, are of great interest to the feed industry. The objective of this work was studying the variability of protein and oil content, as well as yield, in a group of maize testcrosses. One hundred and twenty S1 families of the ESA23B maize population were crossed with two testers, an open-pollinated population (BR108) and an exotic line (CML269). Testcrosses were evaluated at two locations under a completely randomized block design with three replications. Ear and grain yield, protein and oil content were evaluated. The three-way interaction location x tester x progeny was significant for all traits, except for oil content. Differences among progenies were detected for all traits. Testcross means varied from 8.40% to 11.82% for protein content and from 3.77% to 5.10% for oil content. Hybrids with similar or superior means to the best check were identified for protein content, ear yield, and grain yield. Estimates of the interpopulation additive variance ranged from 0.553 to 1.124 for protein content; 0.034 to 0.057 for oil content (percent data); 132.13 to 521.74 for ear yield and 116.33 to 381.73 for grain yield (data in grams per plant). The population ESA23B can potentially be improved for all the traits studied. Associations among traits were weak, thus concomitant selection of quality and yield can be feasible.

Simultaneous selection of yield and yield stability in chickpea genotypes using the GGE biplot technique

2013 ◽  
Vol 61 (3) ◽  
pp. 185-194 ◽  
Author(s):  
E. Farshadfar
Keyword(s):  
Grain Yield ◽  
Principal Component ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Yield Data ◽  
Genotype By Environment ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
The Mean ◽  
Selection Of

GGE biplot analysis is an effective method, based on principal component analysis (PCA), to fully explore multi-environment trials (METs). It allows visual examination of the relationships among the test environments, genotypes and the genotype-by-environment interactions (G×E interaction). The objective of this study was to explore the effect of genotype (G) and the genotype × environment interaction (GEI) on the grain yield of 20 chickpea genotypes under two different rainfed and irrigated environments for 4 consecutive growing seasons (2008–2011). The yield data were analysed using the GGE biplot method. The first mega-environment contained environments E1, E3, E4 and E6, with genotype G17 (X96TH41K4) being the winner; the second mega-environment contained environments E5, E7 and E8, with genotype G12 (X96TH46) being the winner. The E2 environment made up another mega-environment, with G19 (FLIP-82-115) the winner. The mean performance and stability of the genotypes indicated that genotypes G4, G16 and G20 were highly stable with high grain yield.

scholarly journals GENETIC GAINS IN THE POPCORN POPULATION UENF-14: DEVELOPING THE NINTH GENERATION OF INTRAPOPULATION RECURRENT SELECTION

2019 ◽  
Vol 32 (3) ◽  
pp. 625-633
Author(s):  
AMANDA GONÇALVES GUIMARÃES ◽  
ANTÔNIO TEIXEIRA DO AMARAL JÚNIOR ◽  
GUILHERME FERREIRA PENA ◽  
JANEO EUSTÁQUIO DE ALMEIDA FILHO ◽  
MESSIAS GONZAGA PEREIRA ◽  
...  
Keyword(s):  
Grain Yield ◽  
Indirect Effects ◽  
Recurrent Selection ◽  
Selection Process ◽  
Selection Index ◽  
Average Height ◽  
Direct And Indirect Effects ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Selection Of

ABSTRACT The occurrence of negative correlations between grain yield (GY) and popping expansion (PE) in popcorn complicates the selection process. In an attempt to overcome this inconvenience, we proposed the use of the importance characteristic volume per popcorn per hectare (PV). The objectives of this study were to develop the ninth cycle of the UENF-14 popcorn population, to estimate the direct and indirect effects of PV and to verify the genetic progress among all selective cycles. We obtained and evaluated 200 inbred progenies in randomised blocks arranged in replicates within sets, with nine sets consisting of 25 progenies and one set with all previous eight cycles with three replicates. The average height of the plants, prolificacy, 100-grain weight, grain yield, grain popping expansion and volume per popcorn per hectare were evaluated. Track analysis was performed to determine the direct and indirect effects, and the Mulamba and Mock selection index was calculated for the selection of the 40 superior progenies. There was genetic variability among progenies in all evaluated traits, with a cause-and-effect relationship between PV with GY and PE, allowing simultaneous gains with indirect selection. The selection of the best progenies was more effective when using arbitrarily assigned weights, which provided higher predicted gains for PV (20.73%). The means obtained in all cycles indicated increases, demonstrating the efficiency of using continuous recurrent selection in popcorn breeding programs.

scholarly journals Screening of Bread Wheat Genotypes on Physiological and Agronomical Traits in High Temperature at Different Planting

2020 ◽  
Vol 7 (3) ◽  
pp. 103-113
Author(s):  
Washu Dev ◽  
Xiaoli Geng ◽  
Daowu Hu ◽  
Shabana Memon ◽  
Aamir A. Abro ◽  
...  
Keyword(s):  
High Temperature ◽  
Grain Yield ◽  
Leaf Area ◽  
Chlorophyll Content ◽  
Abiotic Stresses ◽  
Sowing Date ◽  
Wheat Crop ◽  
Probability Level ◽  
Wheat Genotypes ◽  
Significant Difference

The most crucial factors that reduce developments of plants are the Abiotic stresses. Among abiotic stresses, high temperature is the imperative factor that causes a reduction in crop growth and effect yield. Nowadays, the temperature of Pakistan has raised with approximately 500C, affecting the wheat crop from anthesis stage till maturity and hence, limiting the productivity of wheat. This study focuses on examining the effects of high temperature on wheat genotypes when planted with different sowing date viz. 10th November and 20th December of the year 2017-18, using Randomize Complete Bloch Design (RCBD). Product yield from both sowing dates (early and late) were observed with significant difference in all types of genotypes; for days 75% maturity, 1000-grains yield, grain yield (kg/ha-1), biological yield (kg/ha-1) and in some physiological characters such as area (cm2) of flag leaf, relative percent of water content ( %) and chlorophyll content % at the probability level P≤0.01 and probability level P≤0.05. The early and late planting revealed significant different recorded in RWC (%) and Leaf Area. The late sowing date, the trait RWC (%) shown non-significant result. The maximum reduction recorded in HYT 10 advance line for grain yield kg/ha-1, leaf area and RWC and in HYT 09 more reduction of chlorophyll content was observed. Hence, it was due to delayed planting effect and heat stress.

IMPROVEMENT OF SPRING DURUM WHEAT SELECTION METHODOLOGIES UNDER CLIMATE CHANGE CONDITIONS

1970 ◽  
pp. 33-36
Author(s):  
А. I. Grabovets ◽  
V. P. Kadushkina ◽  
S. А. Kovalenko
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Unit Area ◽  
Correlation Coefficients ◽  
Chemical Mutagenesis ◽  
Main Method ◽  
The Relationship ◽  
Selection Of

With the growing aridity of the climate on the Don, it became necessary to improve the methodology for conducting the  breeding of spring durum wheat. The main method of obtaining the source material remains intraspecific step hybridization. Crossings were performed between genetically distant forms, differing in origin and required traits and properties. The use of chemical mutagenesis was a productive way to change the heredity of genotypes in terms of drought tolerance. When breeding for productivity, both in dry years of research and in favorable years, the most objective markers were identified — the size of the aerial mass, the mass of grain per plant, spike, and harvest index. The magnitude of the correlation coefficients between the yield per unit area and the elements of its structure is established. It was most closely associated with them in dry years, while in wet years it decreased. Power the correlation of the characteristics of the pair - the grain yield per square meter - the aboveground biomass averaged r = 0.73, and in dry years it was higher (0.91) than in favorable ones (0.61 - 0.70) , between the harvest and the harvest index - r = 0.81 (on average). In dry years, the correlation coefficient increased to 0.92. Research data confirms the greatest importance of the mass of grain from one ear and the plant in the formation of grain yield per unit area in both dry and wet years. In dry years, the correlation coefficient between yield and grain mass per plant was on average r = 0.80; in favorable years, r = 0.69. The relationship between yield and grain mass from the ear was greater — r = 0.84 and r = 0.82, respectively. Consequently, the breeding significance of the aboveground mass and the productivity of the ear, as a criterion for the selection of the crop, especially increases in the dry years. They were basic in the selection.

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