scholarly journals Translational genomics for achieving higher genetic gains in groundnut

2020 ◽  
Vol 133 (5) ◽  
pp. 1679-1702 ◽  
Author(s):  
Manish K. Pandey ◽  
Arun K. Pandey ◽  
Rakesh Kumar ◽  
Chogozie Victor Nwosu ◽  
Baozhu Guo ◽  
...  
Keyword(s):  
Translational Genomics ◽  
Genetic Gains

Photosynthetic organs contributions to grain yield genetic gains in Chilean winter wheat

2021 ◽  
Author(s):  
Abdelhalim Elazab ◽  
Felipe Moraga ◽  
Alejandro del Pozo
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Genetic Gains

Genetic gains in maize yield and related traits for high-yielding cultivars released during 1980s to 2010s in China

2021 ◽  
Vol 270 ◽  
pp. 108223
Author(s):  
Guangzhou Liu ◽  
Haishun Yang ◽  
Ruizhi Xie ◽  
Yunshan Yang ◽  
Wanmao Liu ◽  
...  
Keyword(s):  
Maize Yield ◽  
Genetic Gains

scholarly journals Plant translational genomics: from model species to crops

2006 ◽  
Vol 20 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Elma M. J. Salentijn ◽  
Andy Pereira ◽  
Gerco C. Angenent ◽  
C. Gerard van der Linden ◽  
Frans Krens ◽  
...  
Keyword(s):  
Model Species ◽  
Translational Genomics

scholarly journals Genetic gains under three methods of selection

1962 ◽  
Vol 3 (3) ◽  
pp. 417-423 ◽  
Author(s):  
D. J. Finney
Keyword(s):  
Linear Function ◽  
Genetic Gain ◽  
Index Selection ◽  
Genetic Gains ◽  
Independent Culling

Results obtained by Young for the expectation of genetic gain in an arbitrary linear function of several traits under selection by independent culling levels, under tandem selection, and under index selection have been obtained in slightly more general form and their dependence on basic genetic and phenotypic parameters exhibited. A warning is given about the effects of selection in modifying the distribution of traits; when the distribution has become appreciably non-normal, any calculation of genetic gains from formulae based on normality will tend to overestimation.

Predicted strong genetic gains from the application of genomic selection to improve growth related traits in barramundi (Lates calcarifer)

Aquaculture ◽  
2021 ◽  
pp. 737761
Author(s):  
DeanR. Jerry ◽  
David B. Jones ◽  
Marie Lillehammer ◽  
Cecile Massault ◽  
Shannon Loughnan ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Lates Calcarifer ◽  
Genetic Gains

scholarly journals Estimates of genetic gains for growth traits in young plants of Eucalyptus urophylla S. T. Blake

CERNE ◽  
2011 ◽  
Vol 17 (2) ◽  
pp. 189-193 ◽  
Author(s):  
Thais Galhardo Godoy ◽  
Sebastião Carlos da Silva Rosado
Keyword(s):  
Quality Index ◽  
Dry Matter ◽  
Growth Traits ◽  
Block Design ◽  
Genetic Gains ◽  
Random Block ◽  
Collar Diameter ◽  
Random Block Design ◽  
Root Collar ◽  
Dickson Quality Index

The objective of this study was the selection of superior genotypes for growth traits, correlating them to initial height growth in the field, at age eight months. A random block design was used in the nursery, with eight clones, three replicates and four plants per plot. And a random block design was also used in the field, with eight clones, four replicate blocks and nine plants per plot. Data being analyzed in the nursery at age 120 days included: height of field seedling, at age eight months (Hc), height of nursery seedling (Hm), root collar diameter (Dc), shoot diameter (Db), shoot dry matter (PMSPA), root dry matter (PMSR), total dry matter (PMST), ratio of shoot dry matter to root dry matter (PMSPA/PMSR), Dickson quality index of root collar diameter (IQD-Dc), Dickson quality index of shoot diameter (IQD-Db). Analyses of variance showed that significant genetic differences exist among clones for all traits and, given the high heritability values found, the estimated genetic gains were generically very high. As for predicted indirect genetic gain, selection in nursery seedlings for Dc, PMSPA/PMSR, IQD-Dc provided the highest values of indirect gain in field seedling height.

Quantitative study of genetic gain for growth, carcass, and morphological traits of Nelore cattle

2019 ◽  
Vol 99 (2) ◽  
pp. 296-306
Author(s):  
Daniel Duarte da Silveira ◽  
Lucas De Vargas ◽  
Rodrigo Junqueira Pereira ◽  
Gabriel Soares Campos ◽  
Ricardo Zambarda Vaz ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Carcass Traits ◽  
Genetic Correlations ◽  
Correlated Response ◽  
Genetic Associations ◽  
Muscle Area ◽  
Genetic Gains ◽  
Fat Thickness ◽  
Nelore Cattle ◽  
Genetic Trends

The aim of this study was to evaluate the genetic variability, genetic and phenotypic associations, and genetic gains of birth (BW), weaning (WW), and yearling (YW) weights, loin muscle area (LMA), backfat thickness (BF), rump fat thickness (RF), scores of body structure (BS), finishing precocity (FS), and muscling (MS) in Nelore cattle. Genetic parameters were obtained through Bayesian inference using BLUPF90 programs. All studied traits showed genetic variability, with heritability ranging from 0.29 to 0.47. In all studied ages, weights presented positive genetic correlations with LMA (ranging from 0.13 to 0.53), being generally stronger in comparison with the other carcass traits analyzed (BF and RF). Similarly, weights were higher genetic associated with BS (0.47–0.92) than with FS (0.18–0.62) and MS (0.22–0.65), respectively. The BF and RF showed positive and moderate genetic associations with FS and MS (0.31–0.36). Genetic trends were significant (P < 0.05) and favorable for WW, YW, and visual scores. Selection for increasing BW, WW, YW, and LMA will result in modest or no change in BF and RF (correlated response ranging from −0.04 to 0.07 mm per generation). In this population, carcass traits must be included in the selection indexes to obtain genetic gains in carcass quality, if desired.

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