scholarly journals COMPLEMENTARY TOOLS UTILIZED IN THE PEA (Pisum sativum L.) BREEDING PROGRAM AT UNIVERSIDAD NACIONAL DE ROSARIO

2021 ◽  
Vol 32 (Issue 2) ◽  
pp. 24-30
Author(s):  
Guindón M.F. ◽  
F. Cazzola ◽  
C.J. Bermejo ◽  
M.A. Espósito ◽  
I. Gatti ◽  
...  
Keyword(s):  
Molecular Markers ◽  
In Vitro Culture ◽  
Linear Unbiased Prediction ◽  
Germplasm Collections ◽  
Digital Phenotyping ◽  
Rate Of Increase ◽  
Best Linear Unbiased ◽  
Efficient Selection ◽  
Selection Of

Conventional breeding can be complemented by different strategies that increase the efficiency of the methodologies and the current rate of increase in yields in order to meet demand. The use of molecular markers with the aim of developing linkage maps of the species, the use of Blup (Best Linear Unbiased Prediction) for an efficient selection of progenitors to hybridize, the use of in vitro culture to artificially increase the number of F1 plants or the use of digital phenotyping for efficient digital characterization that can be performed during the periodic and routine regeneration of accessions in germplasm collections. Key words: Molecular markers, Blup, in vitro culture, digital phenotyping.

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.

Combined selection of progeny in crop breeding using best linear unbiased prediction

2012 ◽  
Vol 92 (3) ◽  
pp. 553-562 ◽  
Author(s):  
José Marcelo Soriano Viana ◽  
Vinícius Ribeiro Faria ◽  
Fabyano Fonseca e Silva ◽  
Marcos Deon Vilela de Resende
Keyword(s):  
Least Squares ◽  
Best Linear Unbiased Prediction ◽  
Pedigree Information ◽  
Crop Breeding ◽  
Additive Variance ◽  
Linear Unbiased Prediction ◽  
Best Linear Unbiased ◽  
Combined Selection ◽  
Selection Of ◽  
Unbiased Prediction

Viana, J. M. S., Faria, V. R., Fonseca e Silva, F. and Vilela de Resende, M. D. 2012. Combined selection of progeny in crop breeding using best linear unbiased prediction. Can. J. Plant Sci. 92: 553–562. Combined selection is an important strategy in crop breeding. As the classical index does not consider pedigree information, the objective of this study was to evaluate the efficiency of the best linear unbiased prediction (BLUP) methodology for combined selection of progeny. We analyzed expansion volume (EV) and grain yield of parents and inbred and non-inbred progeny from the popcorn population Viçosa. The BLUP analyses, single-trait and of the same character measured in parents and progeny (combined parent-family) were performed using the ASReml software. Because the experiments were balanced, the estimates of the additive variance from the BLUP and least squares analyses were generally equivalent. The accuracies of the BLUP analyses do not clearly establish the superior technique. The accuracy of the classical index tended to be higher than that obtained from BLUP analyses. There was equivalence between BLUP and least squares analyses relative to half-sib and inbred progeny selection, and superiority of the combined parent-family BLUP index for full-sib selection. The BLUP analyses also differed from the least squares analysis on the coincidence of selected parents. The populations obtained by selection based on BLUP of breeding values presented a lower effective size.

From cells highly tolerant to Zn and Pb to fully fertile plants – Selection of tolerant lines with in vitro culture

2020 ◽  
Vol 146 ◽  
pp. 231-237 ◽  
Author(s):  
Klaudia Sychta ◽  
Aneta Słomka ◽  
Elwira Sliwinska ◽  
Grzegorz Migdałek ◽  
Elżbieta Kuta
Keyword(s):  
In Vitro Culture ◽  
Selection Of

In vitro culture conditions favoring selection of chromosomal abnormalities in human ES cells

2006 ◽  
Vol 99 (2) ◽  
pp. 508-516 ◽  
Author(s):  
M.P. Imreh ◽  
K. Gertow ◽  
J. Cedervall ◽  
C. Unger ◽  
K. Holmberg ◽  
...  
Keyword(s):  
In Vitro Culture ◽  
Chromosomal Abnormalities ◽  
Es Cells ◽  
Culture Conditions ◽  
Human Es Cells ◽  
Selection Of

Use of the REML/BLUP methodology for the selection of sweet orange genotypes

2021 ◽  
Vol 56 ◽  
Author(s):  
Márcia da Costa Capistrano ◽  
Romeu de Carvalho Andrade Neto ◽  
Vanderley Borges dos Santos ◽  
Lauro Saraiva Lessa ◽  
Marcos Deon Vilela de Resende ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Sweet Orange ◽  
Superior Performance ◽  
Yield Potential ◽  
Components Of Variance ◽  
Linear Unbiased Prediction ◽  
Character Set ◽  
Best Linear Unbiased ◽  
Fruit Mass ◽  
Selection Of

Abstract: The objective of this work was to select superior sweet orange (Citrus sinensis) genotypes with higher yield potential based on data from eight harvests, using the residual or restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) methodology. The experiment was carried out from 2002 to 2008 and in 2010 in the municipality of Rio Branco, in the state of Acre, Brazil. Analyzes of deviance were performed to test the significance of the components of variance according to the random effects of the used model, and parameters were estimated from individual genotypic and phenotypic variances. A selection intensity of 20% was adopted regarding genotypic selection, i.e., only the best 11 of the 55 genotypes tested were selected. The estimates of the genetic parameters show the existence of genetic variability and the selection potential of the studied sweet orange genotypes. The genotypic correlation between harvests is of low magnitude, except for the variable average fruit mass, and, as a reflex, there is a change in the ordering of the genotypes. Genotypes 5, 48, 19, 14, and 47 stand out as being the most productive, and, therefore, are the most suitable for selection purposes. Genotypes 14 and 47 show superior performance for the character set evaluated.

A comparison of alternative nucleus breeding systems and a sire referencing scheme for sheep improvement

1996 ◽  
Vol 62 (2) ◽  
pp. 265-270 ◽  
Author(s):  
J. A. Roden
Keyword(s):  
Selection Response ◽  
Best Linear Unbiased Prediction ◽  
Breeding Systems ◽  
Linear Unbiased Prediction ◽  
Sequential Selection ◽  
Best Linear Unbiased ◽  
The Mean ◽  
Nucleus Breeding ◽  
Open Nucleus ◽  
Selection Of

AbstractStochastic simulation was used to compare selection response and rate of inbreeding in four nucleus breeding systems and a sire referencing scheme for sheep: an open nucleus system (ONS), an open nucleus system with sequential selection of the nucleus (ONS-S), a sire referencing scheme (SRS) and a dispersed open nucleus system (DONS). Selection was based on best linear unbiased prediction of breeding values for a single trait measurable on all individuals prior to selection. Selection in a population of 1200 ewes equally divided into 10 flocks was simulated over a 15-year period. The mean rate of genetic gain was proportionately about 0-15 higher in ONS-S and DONS compared with ONS and SRS. The rate of inbreeding in SRS was considerably lower and in ONS-S, considerably higher, than in the other systems. The level of prolificacy in the population did not influence the relative ranking of the breeding systems but may have implications for their optimal structure.

SELECTION OF VALUABLE GERMPLASM OF GRAPEVINE AND PRESERVATION BY IN VITRO CULTURE

2009 ◽  
pp. 145-150
Author(s):  
C. Crăciunaş ◽  
A.L. Butiuc-Keul ◽  
A. Coste ◽  
B. Oltean ◽  
M. Farago ◽  
...  
Keyword(s):  
In Vitro Culture ◽  
Selection Of

scholarly journals Artificial selection on phenotypically plastic traits

1999 ◽  
Vol 74 (3) ◽  
pp. 265-270 ◽  
Author(s):  
MARK KIRKPATRICK ◽  
THOMAS BATAILLON
Keyword(s):  
Artificial Selection ◽  
Mass Selection ◽  
Genetic Covariance ◽  
Linear Unbiased Prediction ◽  
Infinite Dimensional ◽  
Covariance Functions ◽  
Breeding Schemes ◽  
Best Linear Unbiased ◽  
Efficient Breeding ◽  
Selection Of

Many phenotypes respond physiologically or developmentally to continuously distributed environmental variables such as temperature and nutritional quality. Information about phenotypic plasticity can be used to improve the efficiency of artificial selection. Here we show that the quantitative genetic theory for ‘infinite-dimensional’ traits such as reaction norms provides a natural framework to accomplish this goal. It is expected to improve selection responses by making more efficient use of information about environmental effects than do conventional methods. The approach is illustrated by deriving an index for mass selection of a phenotypically plastic trait. We suggest that the same approach could be extended directly to more general and efficient breeding schemes, such as those based on general best linear unbiased prediction. Methods for estimating genetic covariance functions are reviewed.

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