scholarly journals BLUP (Best Linear Unbiased Predictors) analysis for the selection of superior genotypes in the yellow diploid potato (Solanum tuberosum group Phureja)

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
José E. Pacheco ◽  
Johan Sebastian Urquijo ◽  
Aquiles Enrique Darghan ◽  
Luis Ernesto Rodríguez
Keyword(s):  
Solanum Tuberosum ◽  
Selection Index ◽  
Diploid Potato ◽  
Superior Genotypes ◽  
Best Linear Unbiased ◽  
Para Determinar ◽  
Selection Of

Uno de los principales desafíos que enfrentan los mejoradores es la respuesta diferencial de los genotipos de un entorno a otro, conocida como la interacción genotipo × ambiente (GxE). El procedimiento óptimo restringido de máxima verosimilitud/mejor predictor imparcial lineal (REML / BLUP) permite la estimación simultánea de parámetros genéticos y la predicción de valores genotípicos. Los predictores BLUP se presentan como una alternativa al estrechamiento de los valores sesgados. Se basa en las variaciones por genotipo para determinar su valor de respuesta como complemento al índice de selección (SI). El índice de selección (IS) ESIM (Eigenvalue Selection Index) permite seleccionar genotipos basados en dos o más variables o caracteres de selección siempre y cuando la matriz económica posea los valores adecuados para resaltar la variable respuesta deseada. Se evaluaron tres etapas de selección en un programa avanzado de mejoramiento de papa diploide, se obtuvieron los valores BLUP para las variables rendimiento y gravedad específica (GE), y a partir de ellos los parámetros genéticos y el IS. La ganancia genética para rendimiento correspondió a 1.228 kg/planta con una heredabilidad (H2)=0,82, mientras que la GA para GE fue 0,02 con una H2 = 0,935. El IS a partir de los valores BLUP seleccionó en las etapas finales tres nuevos cultivares (Criolla Dorada, Criolla Ocarina y Criolla Sua Pa) que fueron registradas ante el Instituto Colombiano Agropecuario (ICA). Aunque BLUE y BLUP están altamente correlacionadas, el análisis BLUP/ESIM da ventaja al predictor pues reduce las respuestas con efecto ambiental, seleccionando eficientemente genotipos con alto potencial varietal.

scholarly journals Comparison of non-parametric indexes to select soybean genotypes obtained by recurrent selection

2019 ◽  
Vol 40 (5) ◽  
pp. 1761
Author(s):  
Gustavo Henrique Freiria ◽  
Luiz Júnior Perini ◽  
Douglas Mariani Zeffa ◽  
Paulo Sérgio Novais ◽  
Wilmar Ferreira Lima ◽  
...  
Keyword(s):  
Recurrent Selection ◽  
Selection Index ◽  
Inbred Lines ◽  
Cultivar Selection ◽  
Days To Maturity ◽  
Soybean Genotypes ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
Coefficient Of Coincidence ◽  
Selection Of

In the final steps of a breeding program, it is necessary to evaluate several traits, which makes it difficult to select the superior genotypes. This study aimed to compare nonlinear indexes in the selection of superior soybean inbred lines obtained by recurrent selection. The experiment was carried out in Londrina, Paraná State, Brazil. During the 2010/11 and 2011/12 seasons, 67 soybean inbred lines and two commercial controls (BMX Potência RR and NK 7059 RR) were evaluated. The experimental design was a randomized complete block with three replicates. The evaluated traits were: days to maturity, agronomic value, lodging, first pod insertion height, and grain yield. A combined analysis of variance for seasons was performed and the sum of ranks index, ideotype distance index, and cultivars selection index were applied. All traits were significant for the genotypic source of variation and showed complex genotype × environment interactions. The selection indexes were consistent with each other. The ideotype and cultivar selection index showed higher concordance on indication of 15 superior inbred lines with a coefficient of coincidence of 80%. The inbred lines SR-03, SR-12, SR-22, SR-41, SR-49, SR-55, SR-61, and SR-62 were indicated for all indexes and are therefore considered superior to other inbred lines.

scholarly journals Inference of population effect and progeny selection via a multi-trait index in soybean breeding

2020 ◽  
Vol 43 ◽  
pp. e44623
Author(s):  
Leonardo Volpato ◽  
João Romero do Amaral Santos de Carvalho Rocha ◽  
Rodrigo Silva Alves ◽  
Willian Hytalo Ludke ◽  
Aluízio Borém ◽  
...  
Keyword(s):  
Statistical Model ◽  
Variance Components ◽  
Linear Unbiased Prediction ◽  
Soybean Breeding ◽  
Population Effect ◽  
Genetic Gains ◽  
Simultaneous Evaluation ◽  
Superior Genotypes ◽  
Best Linear Unbiased ◽  
Selection Of

The selection of superior genotypes of soybean entails a simultaneous evaluation of a number of favorable traits that provide a comparatively superior yield. Disregarding the population effect in the statistical model may compromise the estimate of variance components and the prediction of genetic values. The present study was undertaken to investigate the importance of including population effect in the statistical model and to determine the effectiveness of the index based on factor analysis and ideotype design via best linear unbiased prediction (FAI-BLUP) in the selection of erect, early, and high-yielding soybean progenies. To attain these objectives, 204 soybean progenies originating from three populations were examined for various traits of agronomic interest. The inclusion of the population effect in the statistical model was relevant in the genetic evaluation of soybean progenies. To quantify the effectiveness of the FAI-BLUP index, genetic gains were predicted and compared with those obtained by the Smith-Hazel and Additive Genetic indices. The FAI-BLUP index was effective in the selection of progenies with balanced, desirable genetic gains for all traits simultaneously. Therefore, the FAI-BLUP index is an adequate tool for the simultaneous selection of important traits in soybean breeding.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU BERPRESTASI KOTA MEDAN MENERAPKAN METODE PREFERENCES SELECTION INDEX (STUDI KASUS : DINAS PENDIDIKAN KOTA MEDAN)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fajar Syahputra ◽  
Mesran Mesran ◽  
Ikhwan Lubis ◽  
Agus Perdana Windarto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Formal Education ◽  
Basic Education ◽  
Selection Index ◽  
Main Task ◽  
Selection Of

The teacher is a major milestone in the world of education, the ability and achievement of students cannot be separated from the role of a teacher in teaching and guiding students. Based on the Law of the Republic of Indonesia No. 14 of 2005 concerning Teachers and Lecturers, in Article 1 explained that teachers are professional educators with the main task of educating, teaching, guiding, directing, training, evaluating, and evaluating students in early childhood education through formal education, basic education and education medium. Whereas in Article 4 of the Act, it is explained that the position of teachers as professionals serves to enhance the dignity and role of teachers as learning agents to function to improve the quality of national education.Decision making is an election process, among various alternatives that aim to meet one or several targets. The decision-making system has 4 phases, namely intelligence, design, choice and implementation. These phases are the basis for decision making, which ends with a recommendation.The Preferences Selection Index (PSI) method is a rarely used decision support system method. This method is a method developed by stevanie and Bhatt (2010) to solve the Multi Criteria Decision Making (MCDM). With the right consideration, this method can be one of the tools to determine policies in decision-making systems, especially the selection of outstanding teachers. Determination of policies taken as a basis for decision making, must use criteria that can be defined clearly and objectively.Keywords: Decision Support System, PSI, Selection of Achieving Teachers

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

A simulation study of open nucleus and closed nucleus breeding systems in a sheep population

1995 ◽  
Vol 60 (1) ◽  
pp. 117-124 ◽  
Author(s):  
J. A. Roden
Keyword(s):  
Genetic Gain ◽  
Live Weight ◽  
Breeding Systems ◽  
Breeding Value ◽  
Linear Unbiased Prediction ◽  
Sheep Population ◽  
Best Linear Unbiased ◽  
Nucleus Breeding ◽  
Open Nucleus ◽  
Selection Of

AbstractStochastic simulation was used to compare the results of alternative breeding systems in a sheep population divided into 10 flocks of 120 ewes. The breeding systems compared were selection within closed flocks (CF), a closed nucleus system (CNS), an open nucleus system (ONS) and open nucleus systems with the selection of nucleus replacements being restricted to either nucleus born males (ONSRm) or nucleus born females (ONSRf). Selection was for a best linear unbiased prediction of breeding value for lamb live weight which had a heritability of 0·17. The open nucleus breeding systems (ONS, ONSRm, ONSRf) resulted in higher rates of genetic gain, more predictable selection responses and lower rates of inbreeding than either the closed nucleus system (CNS) or selection within closed flocks (CF). Initial genetic differences between flocks resulted in higher rates of genetic gain in the nucleus breeding systems due to the use of between flock genetic variance. In the ONS system up to 25% of nucleus sires and approximately 50% of nucleus dams were born in base flocks. Nevertheless if selection of either nucleus sires or dams was restricted to nucleus born animals there was very little change in genetic gain or rate of inbreeding.

scholarly journals Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index

2019 ◽  
Vol 1255 ◽  
pp. 012006 ◽  
Author(s):  
Siti Sundari ◽  
Karmila ◽  
Masduki Nizam Fadli ◽  
Dedy Hartama ◽  
Agus Perdana Windarto ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Index ◽  
Grant Proposals ◽  
Selection Of ◽  
Research Grant

scholarly journals Selection of Drought Tolerant Maize Hybrids Using Path Coefficient Analysis and Selection Index

2017 ◽  
Vol 20 (3) ◽  
pp. 132-139 ◽  
Author(s):  
Abdalla Dao ◽  
Jacob Sanou ◽  
Edgar V.S. Traor ◽  
Vernon Gracen ◽  
Eric Y. Danquah
Keyword(s):  
Selection Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Maize Hybrids ◽  
Drought Tolerant ◽  
Selection Of

scholarly journals Prey species and prey selection of dholes at three different sites in Thailand

2020 ◽  
Vol 21 (11) ◽  
Author(s):  
KHWANRUTAI CHARASPET ◽  
Ronglarp - Sukmasuang ◽  
NORASET KHOEWSREE ◽  
MANANYA PLA-ARD ◽  
YUWALUK CHANACHAI
Keyword(s):  
National Park ◽  
Prey Species ◽  
Dietary Diversity ◽  
Prey Selection ◽  
Selection Index ◽  
Camera Traps ◽  
Total Biomass ◽  
Wildlife Sanctuary ◽  
Khao Yai National Park ◽  
Selection Of

Abstract. Charaspet K, Sukmasuang R, Khoewsree N, Pla-ard M, Chanachai Y. 2020. Prey species and prey selection of dholes at three different sites in Thailand. Biodiversitas 21: 5248-5262. The study of prey species and prey selection of Dholes at 3 different sites was conducted at Khao Yai National Park, Salak Pra, and Huai Kha Khaeng Wildlife Sanctuaries from 2013 to 2020. Information on Dhole prey at the sites was collected from the residues of dhole scats, from which the selection index, the relative biomass of the prey, and the relative amounts of the consumed prey were calculated. The data were collected simultaneously with the use of camera traps at each site. The study revealed that there were 13 species of Dhole prey with body weight over 5 kg. The result indicated that there were 7 species of even-toed ungulates. The relative biomass of even-toed ungulates ranged between 76.78 - 90.50% of the total biomass of all the Dholes’ consumed prey for all study sites. The dietary diversity index unveiled a similar index in all areas, which proved the adequacy of the analyzed scats. However, the Niche breadth index, which indicates the relevance of prey selection and prey species to the appearances of the prey at each site, was found to be high at Huai Kha Khaeng Wildlife Sanctuary, Khao Yai National Park, while the index was found to be low at Salak Pra Wildlife Sanctuary. The results revealed that Dholes consumed viverrid species and Malayan porcupine more often at the site where there were large carnivores. The recommendation from this study was the conservation and restoration of the ungulate populations, the main prey, as it greatly affects the conservation of the Dhole populations in Thailand.  Grassland and salt lick sites, water sources improvements are also important to promote prey population. The conservation of wildlife prey by releasing them to nature, as currently conducted, has an effect on the increase of Dholes’ prey species.

scholarly journals Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

2021 ◽  
Vol 45 ◽  
Author(s):  
Anna Regina Tiago Carneiro ◽  
Osvaldo Toshiyuki Hamawaki ◽  
Ana Paula Oliveira Nogueira ◽  
Arthur Felipe Eustáquio e Silva ◽  
Raphael Lemes Hamawaki ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Indirect Selection ◽  
Direct Selection ◽  
Selection Strategies ◽  
Aggregate Information ◽  
Genetic Potential ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
Total Gain ◽  
Selection Of

ABSTRACT The selection indexes aggregate information to multiple characters and, with this, they are able to carry out the selection of a set of variables simultaneously. The objective was to verify the genetic potential of agronomic traits and to select soybean F3:4 progenies based on different selection strategies. 123 progenies and the parents were sown in randomized blocks with two replications. The gains of direct selection by the indexes, the sum of “ranks” and the genotype-ideotype were lower for all characters when compared to the gains of direct and indirect selection. The rank sum index stood out for achieving the highest total gain with 37.11%. The index of the genotype-ideotype obtained a lower gain (-0.48%) for the character number of days for flowering compared to the sum index of “ranks” (-0.54%) and reached a negative gain for the attribute insertion height of the first pod with -1.82%. The genetic potential of the F3:4 population is high and allows different selection strategies to be applied to reach superior genotypes. The progenies UFU 72, UFU 116, UFU 86, UFU 45, UFU 117, UFU 56, UFU 5, UFU 106, UFU 6, UFU 4, UFU 73, UFU 101, UFU 96, UFU 90, UFU 123, UFU 116, UFU 88, UFU 65, UFU 70, UFU 3, UFU 69 and UFU 37 were selected by both selection indexes. The UFU 72, UFU 90, UFU 88 and UFU 69 progenies are agronomically superior both in direct and indirect selection, as in Mulamba and Mock (1978) sum of “ranks” selections and genotype-ideotype.

scholarly journals Analysis of Genotypic Variation and Selection of Superior Genotypes of Balanites roxburghii Planch. from South India

2021 ◽  
Author(s):  
Guggalada Govardhana Yadav ◽  
Niranjana Murthy Hosakatte
Keyword(s):  
Genotypic Variation ◽  
Morphological Characterization ◽  
Fruit Weight ◽  
Kernel Weight ◽  
Biodiesel Production ◽  
Seed Kernel ◽  
Superior Genotypes ◽  
Fruit Characters ◽  
Important Medicinal Plant ◽  
Selection Of

Abstract Balanites roxburghii is an important medicinal plant of India and is used in the treatment of various diseases and disorders. Seeds possess a high amount of oil and could be used in biodiesel production. This plant is also a source of diosgenin, a therapeutically useful compound. Domestication of this plant provides opportunities for the commercial production of those valuable products. Hence the present study was planned to assess the variability of B. roxburghii in Southern India and identifying the superior genotypes based on the morphological characterization. A total of 45 accessions from 35 populations were collected and variation in 9 quantitative and 3 qualitative morphological traits related to fruits was analyzed. Fruit weight showed the highest variation, ranging from 10.23 g in the accession KA-04C to 37.69 g in TN-03. Pulp weight was ranged from 1.71 g in KA-04C to 10.24 g in TN-03. Seed kernel weight was highest in TE-04 (3.87 g) followed by KA-04A (3.21 g) and TE-05A (2.98 g). PCA analysis showed that fruit weight, fruit length, fruit width, pulp weight, rind weight, and endocarp weight were the major traits contributing to the diversity. Cluster analysis resulted in the formation of 4 groups and among them, 2 accessions of clusters 3 and 6 accessions of cluster 4 showed superior fruit characters by having the highest fruit weight, pulp weight, and seed kernel weight. Accessions of these groups could be considered in future domestication programs.

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