scholarly journals Genetic Variation and Correlation among Resin Yield, Growth, and Morphologic Traits of Pinus massoniana

2013 ◽  
Vol 62 (1-6) ◽  
pp. 38-43 ◽  
Author(s):  
Qinghua Liu ◽  
Zhichun Zhou ◽  
Huihua Fan ◽  
Yurong Liu
Keyword(s):  
Genetic Correlation ◽  
Genetic Correlations ◽  
Tree Height ◽  
Pinus Massoniana ◽  
The Other ◽  
Breeding Programs ◽  
Family Effects ◽  
Breast Height ◽  
Sib Families ◽  
The Individual

AbstractIn breeding programs, the variations and relationships among main traits need to be understood to develop selection and breeding strategies. Resin is considered as one of most important non-timber production of P. massoniana which can privides terpenes used in the chemical industry. The present study assessed the genetic variations in growth, morphologic traits, and resin yield, as well as the phenotypic and genetic correlations between these traits of 45 half-sib families of eight-year-old Pinus massoniana trees. All traits show highly significant family effects. The individual heritability for diameter at breast height (DBH) was the highest (hi2=0.55). Heritabilities for resin yield, tree height, crown depth, and the height to the live crown were slightly lower than DBH, ranging from 0.32 to 0.45. The other traits were under weak genetic control and heritabilities ranged from 0.17 to 0.20. All growth and morphologic traits were significantly correlated genetically with resin yield. Number of living branches had the highest genetic correlation with resin yield (rg=0.99), followed by DBH and number of living whorls (rg=0.73 and 0.70). Only a moderate positive genetic correlation with resin yield was found with the other traits (rg=0.47-0.57), except for height under the living branches (rg=-0.45). The results of this study indicate that both resin yield and growth can be improved simultaneously in the next generation. Of the traits assessed DBH was the optimum trait for indirectly selecting high-yielding resin trees.

scholarly journals Optimizing design to estimate genetic correlations between environments with common environmental effects

2020 ◽  
Vol 98 (2) ◽  
Author(s):  
Maria Lozano-Jaramillo ◽  
Hans Komen ◽  
Yvonne C J Wientjes ◽  
Han A Mulder ◽  
John W M Bastiaansen
Keyword(s):  
Genetic Correlation ◽  
Environmental Effects ◽  
Genetic Correlations ◽  
Improve Performance ◽  
Breeding Programs ◽  
Genotype By Environment ◽  
Optimizing Design ◽  
Minimum Number ◽  
Optimal Population ◽  
Different Levels

Abstract Breeding programs for different species aim to improve performance by testing members of full-sib (FS) and half-sib (HS) families in different environments. When genotypes respond differently to changes in the environment, this is defined as genotype by environment (G × E) interaction. The presence of common environmental effects within families generates covariance between siblings, and these effects should be taken into account when estimating a genetic correlation. Therefore, an optimal design should be established to accurately estimate the genetic correlation between environments in the presence of common environmental effects. We used stochastic simulation to find the optimal population structure using a combination of FS and HS groups with different levels of common environmental effects. Results show that in a population with a constant population size of 2,000 individuals per environment, ignoring common environmental effects when they are present in the population will lead to an upward bias in the estimated genetic correlation of on average 0.3 when the true genetic correlation is 0.5. When no common environmental effects are present in the population, the lowest standard error (SE) of the estimated genetic correlation was observed with a mating ratio of one dam per sire, and 10 offspring per sire per environment. When common environmental effects are present in the population and are included in the model, the lowest SE is obtained with mating ratios of at least 5 dams per sire and with a minimum number of 10 offspring per sire per environment. We recommend that studies that aim to estimate the magnitude of G × E in pigs, chicken, and fish should acknowledge the potential presence of common environmental effects and adjust the mating ratio accordingly.

scholarly journals Profiling of Individual Desulfo-Glucosinolate Content in Cabbage Head (Brassica oleracea var. capitata) Germplasm

Molecules ◽  
2020 ◽  
Vol 25 (8) ◽  
pp. 1860 ◽  
Author(s):  
Shiva Ram Bhandari ◽  
Juhee Rhee ◽  
Chang Sun Choi ◽  
Jung Su Jo ◽  
Yu Kyeong Shin ◽  
...  
Keyword(s):  
Significant Variation ◽  
The Other ◽  
Glucosinolate Content ◽  
Breeding Programs ◽  
Average Value ◽  
Hydrolysis Products ◽  
Coefficients Of Variation ◽  
Anti Cancer ◽  
The Individual ◽  
Different Origins

Individual glucosinolates (GSLs) were assessed to select cabbage genotypes for a potential breeding program. One hundred forty-six cabbage genotypes from different origins were grown in an open field from March to June 2019; the cabbage heads were used for GSL analyses. Seven aliphatics [glucoiberin (GIB), progoitrin (PRO), epi-progoitrin (EPI), sinigrin (SIN), glucoraphanin (GRA), glucoerucin (GER) and gluconapin (GNA)], one aromatic [gluconasturtiin (GNS)] and four indolyl GSLs [glucobrassicin (GBS), 4-hydroxyglucobrassicin (4HGBS), 4-methoxyglucobrassicin (4MGBS), neoglucobrassicin (NGBS)] were found this study. Significant variation was observed in the individual GSL content and in each class of GSLs among the cabbage genotypes. Aliphatic GSLs were predominant (58.5%) among the total GSLs, followed by indolyl GSL (40.7%) and aromatic GSLs (0.8%), showing 46.4, 51.2 and 137.8% coefficients of variation, respectively. GIB, GBS and NGBS were the most common GSLs found in all genotypes. GBS was the most dominant GSL, with an average value of 3.91 µmol g−1 (0.79 to 13.14 µmol g−1). SIN, GIB, PRO and GRA were the other major GSLs, showing average values of 3.45, 1.50, 0.77 and 0.62 µmol g−1, respectively. The genotypes with relatively high contents of GBS, SIN, GIB and GRA warrant detailed studies for future breeding programs since the hydrolysis products of these GSLs have several anti-cancer properties.

Genetic parameters in diallel-crossed Scots pine favor heartwood formation breeding objectives

1998 ◽  
Vol 28 (6) ◽  
pp. 937-941 ◽  
Author(s):  
Anders Fries ◽  
Tore Ericsson
Keyword(s):  
Genetic Correlation ◽  
Scots Pine ◽  
Heritability Estimate ◽  
Tree Height ◽  
Heartwood Formation ◽  
Environmental Correlations ◽  
Branch Diameter ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Crown Length

After 25 years, full-sibs of Scots pine (Pinus sylvestris L.) in a north Swedish progeny test showed an estimated heritability of 0.30 for heartwood diameter at 80 cm above ground. This was equal to the heritability estimate for tree height, although accompanied by a much larger additive genetic coefficient of variation (0.20 compared with 0.06). The heritability estimate for diameter at breast height was about half that for tree height. Strong and positive phenotypic and environmental correlations were assessed between heartwood and the following traits: diameter at breast height, tree height, and branch diameter. The genetic correlation was low and positive at 0.02 between heartwood and diameter at breast height in contrast with 0.27 between heartwood and tree height. The assessed genetic correlations between heartwood and branch diameter and between heartwood and crown length were very weak compared with the phenotypic and, particularly, environmental correlations. This indicates that the association between crown length and heartwood is significant with regard to environmental factors, no matter to what extent they are independently modified by genes. However, crown limit was the trait that showed the strongest genetic correlation with heartwood (0.49). Since no correlations with production traits were unfavorable, we conclude that including heartwood formation capacity in a breeding programmay be done without drawbacks and with good prospects for success.

scholarly journals Genetic parameters for fatty acids in intramuscular fat from feedlot-finished Nelore carcasses

2018 ◽  
Vol 58 (2) ◽  
pp. 234 ◽  
Author(s):  
Carolyn Aboujaoude ◽  
Angélica Simone Cravo Pereira ◽  
Fabieli Louise Braga Feitosa ◽  
Marcos Vinicius Antunes de Lemos ◽  
Hermenegildo Lucas Justino Chiaia ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Intramuscular Fat ◽  
Zebu Cattle ◽  
Fa Composition ◽  
Heritability Estimates ◽  
The Individual ◽  
Long Chain

The aim of the present study was to estimate covariance components and genetic parameters for beef fatty acid (FA) composition of intramuscular fat in the longissimus thoracis muscle in Nelore bulls finished in feedlot. Twenty-two FAs were selected. The heritability estimates for individual FAs ranged from 0.01 to 0.35. The heritability estimates for myristic (0.25 ± 0.09), palmitic (0.18 ± 0.07), oleic (0.28 ± 0.09), linoleic (0.16 ± 0.06) and α-linolenic (0.35 ± 0.10) FAs were moderate. Stearic, elaidic, palmitoleic, vaccenic, conjugated linoleic acid, docosahexanoic, eicosatrienoic and arachidonic FAs had heritability estimates below 0.15. The genetic-correlation estimates between the individual saturated FAs (SFAs) were low and negative between myristic and stearic FAs (–0.22 ± 0.84), moderate between palmitic and myristic FAs (0.58 ± 0.56) and negative between palmitic and stearic FAs (–0.69 ± 0.45). The genetic correlations between the individual long-chain polyunsaturated FAs (PUFAs) were positive and moderate (>0.30). However, the genetic-correlation estimates between long-chain PUFAs and α-linolenic acid were low (<0.30), except for the correlation between arachidonic and α-linolenic acids. The genetic correlation estimates of the sums of SFAs with monounsaturated fatty acids and omega 6 FAs were low (0.25 ± 0.59 and –0.02 ± 0.51 respectively), high with PUFAs and omega 9 FAs (–0.85 ± 0.15 and 0.86 ± 0.17 respectively) and moderate with omega 3FAs (–0.67 ± 0.26). The present study demonstrated the existence of genetic variation and, hence, the possibility to increase the proportion of healthy and favourable beef FAs through selection. The results obtained in the study have provided knowledge to elucidate the additive genetic influence on FA composition of intramuscular fat. In addition, genetic-relationship estimates of intramuscular FA profile help seek strategies for genetic selection or genetic-based diet management to enhance the FA profile in Zebu cattle.

Micron blowout: heritability and genetic correlations with fibre diameter and secondary follicle diameter

1999 ◽  
Vol 50 (8) ◽  
pp. 1375 ◽  
Author(s):  
J. A. Hill ◽  
R. W. Ponzoni ◽  
J. W. James
Keyword(s):  
Genetic Correlation ◽  
Scale Effect ◽  
Genetic Variance ◽  
Genetic Correlations ◽  
Fibre Diameter ◽  
The Other ◽  
Follicle Diameter ◽  
The Difference ◽  
Biased Estimates ◽  
Practical Implications

Calculation of micron blowout as the difference between fibre diameter records taken at different ages can produce ‘biased’ estimates of the heritability and genetic correlations due to a scale effect. In some instances, standardisation of the fibre diameter records to a common genetic variance (i.e. removal of the scale effect) changed the heritability and the genetic correlation estimates. The effect of standardisation on the heritability of micron blowout was determined to a large extent by the difference in the genetic variance between the 2 fibre diameter measurements, whereas in the case of the genetic correlation between micron blowout and another trait, it was also dependent on the genetic correlation between the other trait and the two fibre diameters. It is recommended that heritabilities and genetic correlations involving micron blowout be calculated after standardising the fibre diameter measurements to a common genetic variance. The practical implications of the results are briefly discussed.

scholarly journals Importance of agronomic traits in the individual selection process in sugarcane determined using the logistic regression

2016 ◽  
Vol 38 (3) ◽  
pp. 289 ◽  
Author(s):  
Bruno Portela Brasileiro ◽  
Luiz Alexandre Peternelli ◽  
Luís Cláudio Inácio Silveira ◽  
Márcio Henrique Pereira Barbosa
Keyword(s):  
Logistic Regression ◽  
Decision Trees ◽  
Agronomic Traits ◽  
Selection Process ◽  
Logistic Models ◽  
Error Rates ◽  
Mass Selection ◽  
Breeding Programs ◽  
Sib Families ◽  
The Individual

The aim of this study was to evaluate the importance of agronomic traits during the selection of sugarcane (Saccharum spp.), as well as to evaluate the potential for using logistic regression and decision trees to identify the best genotypes. A total of 7,719 seedlings of 128 half-sib families were evaluated during the first test phase (T1), and 659 clones were selected for the second (T2). Logistic regression was applied to both populations. The number of stalks, bud prominence and length of the internode were the most important selection traits in the T1 population. The plant vigor, stalk diameter and stalk height were the most important selection traits in the T2 population. There were 174 individuals selected when using the mass selection method in T1 and 113 individuals in T2, whereas a logistic regression selected 153 individuals in T1 and 79 in T2. The apparent error rates of the logistic models fitted to the selections in T1 and T2 were 0.8 and 5.10%, respectively. By using a decision tree, 67 clones were selected among the most productive ones in phase T2. Therefore, the formulation of decision trees is highly applicable to identifying potential clones during the initial phases of breeding programs. 

scholarly journals Genetic parameter and genetic trend estimates for reproductive traits in Wistar rats

2020 ◽  
Vol 72 (4) ◽  
pp. 1479-1486
Author(s):  
G. Taroco ◽  
J.T. Paiva ◽  
G.B. Mourão ◽  
J.B.S. Ferraz ◽  
E.C. Mattos ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Wistar Rats ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Reproductive Traits ◽  
Wistar Rat ◽  
The Other ◽  
Genetic Trend ◽  
Genetic Progress ◽  
Genetic Trends

ABSTRACT The aim of this study was to estimate genetic parameters and genetic trends for reproductive traits in Wistar rats. A total of 1,167 data records from 283 females over six generations of monogamous mating pairs was used. Heritability and genetic correlation were estimated through Bayesian inference and genetic trends were calculated by linear regression of breeding values over generations. Heritability estimates for litter size at birth (LS), calving interval (CI), pup mortality (PM) and maternal cannibalism (CAN) presented low magnitude, ranging from 0.01 to 0.13. CAN presented high and positive genetic correlation with LS and PM (0.77 and 0.78, respectively). On the other hand, all the other estimated genetic correlations were not significant. Genetic trend was positive for LS (+0.0900 pups per generation), and negative for PM and CAN (-1.0085 and -0.5217 pups per generation, respectively). For CI the genetic trend was not significant. It is recommended to increase selection intensity on dams in this Wistar rat population in order to accelerate the genetic progress.

Genetic parameter estimates for growth traits of black spruce in northwestern Ontario

2008 ◽  
Vol 38 (12) ◽  
pp. 2994-3001 ◽  
Author(s):  
Pengxin Lu ◽  
Paul Charrette
Keyword(s):  
Genetic Correlation ◽  
Growth Traits ◽  
Black Spruce ◽  
Genetic Correlations ◽  
Tree Height ◽  
Type A ◽  
Height Growth ◽  
Type B ◽  
Northwestern Ontario ◽  
Tree Height Growth

Genetic parameters of growth traits were estimated for first-generation selections of black spruce ( Picea mariana (Mill.) BSP) in northwestern Ontario from 720 open-pollinated families and more than 42 000 trees. Unbiased estimates of narrow-sense heritability for tree height growth averaged 0.19, 0.18, and 0.14 at ages 6, 11, and 19 years, respectively, from combined-site analyses compared with 0.25, 0.23, and 0.16 for the same ages from single-site analyses. Heritability estimates for diameter at breast height and stem volume were lower than that of height at age 19, suggesting that tree height is a more desirable trait for selection in black spruce. The moderately high estimates of type B genetic correlations implied limited operational importance of genotype × environment interactions. Estimates of age–age genetic correlation were high (>0.88) among cumulative tree height growth at 6, 11, and 19 years but lower between height increments from different age intervals. Estimates of type B age–age genetic correlation were more than 0.2 lower than their type A counterparts, suggesting strong effects of common environments on the estimates of type A genetic correlations. Based on the relative selection efficiencies, selection on cumulative tree height between ages 6 and 11 was more efficient than at age 19.

scholarly journals Short communication: Genetic analysis of lactation curves in buffaloes, using Wood’s model

2020 ◽  
Vol 18 (3) ◽  
pp. e04SC01
Author(s):  
Ludmilla A. Marques de Carvalho ◽  
Guilherme F. de Moura ◽  
Dheynne A. Vieira ◽  
Naudin A. Hurtado-Lugo ◽  
Rusbel R. Aspilcueta-Borquis ◽  
...  
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Short Communication ◽  
Genetic Correlations ◽  
Peak Time ◽  
Breeding Programs ◽  
High Magnitude ◽  
Lactation Curve ◽  
Heritability Estimates ◽  
The Individual

Aim of study: To estimate the heritability and genetic correlations for lactation curve traits in buffaloes.Area of study: The buffalo cows were raised on properties located in the states of São Paulo, Ceará and Rio Grande do Norte, Brazil.Material and methods: The individual parameters of Wood’s model ( , , and ) were obtained using a non-linear mixed model. Peak yield (PY), peak time (PT) and lactation persistency (LP) were also calculated. These individual parameters were employed in multi-trait analysis with the milk yield (MY) using Bayesian inference.Main results: The heritability estimates were of low to moderate magnitudes, with values ranging from 0.156 ( ) to 0.299 (PY). The estimates for genetic correlation between the Wood’s parameters and MY were of low to high magnitude and ranged from -0.533 (  and MY) to 0.983 (PY and MY).Research highlights: The heritability estimates obtained indicate that the traits studied can be used in animal breeding programs.

scholarly journals Quantitative Genetics of Growth Rate and Filet Quality Traits in Atlantic Salmon Inferred From a Longitudinal Bayesian Model for the Left-Censored Gaussian Trait Growth Rate

2020 ◽  
Vol 11 ◽  
Author(s):  
Ólafur H. Kristjánsson ◽  
Bjarne Gjerde ◽  
Jørgen Ødegård ◽  
Marie Lillehammer
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Atlantic Salmon ◽  
Genetic Correlation ◽  
Genetic Correlations ◽  
Growth Potential ◽  
Quality Traits ◽  
Breeding Programs ◽  
Test Fish ◽  
Average Body

In selective breeding programs for Atlantic salmon, test fish are slaughtered at an average body weight where growth rate and carcass traits as filet fat (FF), filet pigment (FP) and visceral fat index (FF) are recorded. The objective of this study was to obtain estimates of genetic correlations between growth rate (GR), and the three carcass quality traits when fish from the same 206 families (offspring of 120 sires and 206 dams from 2 year-classes) were recorded both at the same age (SA) and about the same body weight (SW). In the SW group, the largest fish were slaughtered at five different slaughter events and the remaining fish at the sixth slaughter event over 6 months. Estimates of genetic parameters for the traits were obtained from a Bayesian multivariate model for (potentially) truncated Gaussian traits through a Gibbs sampler procedure in which phantom GR values were obtained for the unslaughtered, and thus censored SW group fish at each slaughter event. The heritability estimates for the same trait in each group was similar; about 0.2 for FF, 0.15 for FP and 0.35 for VF and GR. The genetic correlation between the same traits in the two groups was high for growth rate (0.91 ± 0.05) visceral index (0.86 ± 0.05), medium for filet fat (0.45 ± 0.17) and low for filet pigment (0.13 ± 0.27). Within the two groups, the genetic correlation between growth rate and filet fat changed from positive (0.59 ± 0.14) for the SA group to negative (−0.45 ± 0.17) for the SW group, while the genetic correlation between growth rate and filet pigment changed from negative (−0.33 ± 0.22) for the SA group to positive (0.62 ± 0.16) for the SW group. The genetic correlation of growth rate with FF and FP is sensitive to whether the latter traits are measured at the same age or the same body weight. The results indicate that selection for increased growth rate is not expected to have a detrimental effect on the quality traits if increased growth potential is realized through a reduced production time.

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