Associations between vegetative and production traits in guava tree full-sib progenies

Abstract: The objective of this work was to estimate the genetic parameters and to evaluate the associations between vegetative and yield characteristics, in full-sib progenies of guava tree (Psidium guajava). The following characteristics were evaluated: yield per plant, number of fruits, fruit mass, plant height, stem diameter, and canopy volume. The estimation of genetic parameters was obtained by the REML/Blup procedure. Based on the breeding values predicted by Blup, the genetic and canonical correlations were estimated, and the genetic correlation coefficients were unfolded into direct and indirect effects on the character yield per plant using path analysis. Genetic variability was estimated for number of fruits (567.66) and yield per plant (11.818), with high genetic correlation (0.9045), indicating simultaneous selection. Indirect selection did not promote simultaneous gains for yield per plant with the primary components number of fruits and fruit mass, making it difficult to obtain guava cultivars with high yield, number of fruits, and fruit mass. The vegetative traits had little effect on yield, number of fruits, and fruit mass.

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Genetic parameters of production and reproduetive traits in on a farm tested Danish Large White and Landrace swine in Greece

Archives Animal Breeding ◽

10.5194/aab-43-287-2000 ◽

2000 ◽

Vol 43 (3) ◽

pp. 287-298

Author(s):

J. Bizelis ◽

A. Kominakis ◽

E. Rogdakis ◽

F. Georgadopoulou

Keyword(s):

Maximum Likelihood ◽

Genetic Correlation ◽

Genetic Parameters ◽

Genetic Correlations ◽

Production Traits ◽

Likelihood Methods ◽

Large White ◽

Reproduction Traits ◽

Maximum Likelihood Methods ◽

Genetic And Phenotypic Correlations

Abstract. Production and reproduetive traits in Danish Landrace (LD) and Large White (LW) swine were analysed by restricted maximum likelihood methods to obtain heritabilities as well as genetic and phenotypic correlations. Production traits were: age, backfat thickness (BT), muscle depth (MD) and the ratio BT/MD, adjusted to Standard bodyweight of 85 kg. Reproduction traits were: number of pigs born (NB) and number of pigs weaned (NW) per sow and parity. Heritabilities for age, BT, MD and BT/MD were 0.60, 0.44, 0.51 and 0.42 for LD and 0.36, 0.44, 0.37 and 0.45 for LW, respectively. Genetic correlations between age and BT were −0.22 in LD and – 0.44 in LW. The genetic correlation between age and MD was close to zero in both breeds. Genetic correlation between BT and MD were −0.36 and −0.25 in LD and LW, respectively. Heritabilities for NB were 0.25 in LD and 0.13 in LW while heritabilities for NW were close to zero in both breeds. Genetic correlation between NB and NW was 0.46 and 0.70 in LD and LW, respectively.

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Evaluation of Variance Components and Genetic Parameters in F1 Progenies of Coffea canephora Pierre x C. congensis Froehner

Journal of Experimental Agriculture International ◽

10.9734/jeai/2021/v43i130627 ◽

2021 ◽

pp. 12-23

Author(s):

Kouassi M. Ouattara ◽

Yapo A. Antoine ◽

Nguetta A. Simon-Pierre ◽

Okoma M. Pamela ◽

Gba Kossia M. Karine ◽

...

Keyword(s):

Genetic Parameters ◽

Block Design ◽

Diploid Species ◽

Coffea Canephora ◽

Broad Sense ◽

High Yield ◽

Narrow Sense ◽

Vegetative Traits ◽

Additive Gene

The diploid species Coffea congensis is of interest in improving the organoleptic quality of C. canephora. F1 crosses of C. canephora x C. congensis named Congusta in 3 x 5 factorial design have been carried out. The work aimed to assess the genetic parameters in the hybrids in order to integrate them into the selection schemes under way in Côte d'Ivoire. The experimental design was a randomized complete block design. Each cross was represented by a minimum of 29 plants and a maximum of 55 plants. The spacing used was 3 x 1.5 m. Male genotypes C. congensis brought little improvement in offspring regardless of their insignificant additive gene effect in the hybrids. Low heritabilities were found for vegetative vigor traits DICO, GAT and NPLA ranging from 0.13 to 0.23 in the narrow sense and from 0.18 to 0.32 in the broad sense. For production, the narrow sense heritabilities were stable during the first three years of harvest with values between 0.23 and 0.25 whereas the broad sense heritability was irregular. The estimation GCA and SCA showed that all the traits except RCAR had ratio between both effects above 1. The study of correlations between traits showed insignificant correlations between production and vegetative traits, with coefficients below 0.30. However, The selection of 83 high-producing trees from 14 out of 15 studied families make it possible to create good vegetative trees linked to high yield.

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Genetic and phenotypic relationships between conformation and production traits in Ayrshire heifers

Animal Science ◽

10.1017/s0003356100007261 ◽

1994 ◽

Vol 58 (3) ◽

pp. 335-338 ◽

Cited By ~ 1

Author(s):

R. A. Mrode ◽

G. J. T. Swanson

Keyword(s):

Maximum Likelihood ◽

Genetic Correlation ◽

Milk Fat ◽

Genetic Parameters ◽

Genetic Correlations ◽

Production Traits ◽

Linear Type ◽

Maximum Likelihood Procedure ◽

Type Traits ◽

The Relationship

AbstractFirst lactation records for production traits (milk, fat and protein yields) and 17 linear type traits for 7169 Ayrshire heifers were analysed to estimate genetic parameters for type traits and to examine the relationship between type and production traits. A multivariate restricted maximum likelihood procedure fitting a sire model with sire relationships included was used for all analyses.Heritabilities for production traits were approximately 0·3 and genetic correlations among them were high (>0·84). The estimates of heritabilities for type traits were mainly low to moderate ranging from 0·04 to 0·42. Angularity (0·80), beef shape (0·49), foot angle (0·53) and stature (0·46) had higher heritabilities. Generally phenotypic correlations among type traits were lower than the genetic correlations. The highest negative genetic correlation was between rear legs side and rear legs rear (-0·95) and the highest positive correlation between chest width and beef shape (0·93).Genetic correlations between type and production were low to moderate and were similar for milk, fat and protein yields. The genetic correlations between the production traits and chest width, udder depth and beef shape were negative but were positive between production and angularity, rear udder width and teat placement side.

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Genetic parameters for reproduction and lamb production and their components and liveweight, fat depth and wool production in Hyfer sheep

Australian Journal of Agricultural Research ◽

10.1071/ar9940443 ◽

1994 ◽

Vol 45 (2) ◽

pp. 443 ◽

Cited By ~ 26

Author(s):

NM Fogarty ◽

LD Brash ◽

AR Gilmour

Keyword(s):

Genetic Correlation ◽

Litter Size ◽

Genetic Parameters ◽

Genetic Correlations ◽

Production Traits ◽

Wool Production ◽

Reproduction Traits ◽

Component Traits ◽

Lamb Survival ◽

Fleece Weight

Hyfer is a new composite breed suited to specialized lamb production and developed from Dorset (+), Booroola Merino (+)and Trangie Fertility Merino (+) genotypes. Genetic parameters estimated by restricted maximum likelihood methods are reported for liveweight, wool production and a range of reproduction and lamb production traits. Estimates of heritability were 0 44 � 0.10, 0.222 � 0-08 and 0.28 � 0.08 for liveweight, ultrasonic fat depth (C site) and fat depth adjusted for liveweight respectively, for 1454 rams averaging 14 months of age, which were the progeny of 130 sires. The genetic correlation for ram liveweight and fat depth was 0.06 � 0.17 and -0.30 � 0.16 with adjusted fat depth. Estimates of heritability for ewe liveweight at 12-18 months of age and greasy fleece weight at 11-19 months of age were 0.61 � 0.10 and 0.38 � 0.08 respectively, with a genetic correlation of 0.35 � 0.13, based on 1619 ewes, which were the progeny of 135 sires. A maternal effect was significant for ewe liveweight and its inclusion in the model reduced the estimate of heritability to 0.44 � 0.09. Young ewes were joined three times in two years in an accelerated 8-monthly lambing system, and joinings commenced in mid-February, late October and mid-June. The estimates of heritability for overall ewe performance were for lambs born 0.09 � 0.03, lambs weaned 0.04 � 0.02 and weight of lamb weaned 0 -06 � 0.02 (all per ewe joined). Heritabilities for the component traits were: fertility 0 -03 � 0 02, litter size 0.19 � 0.04 and lamb survival 0.07 � 0.03. Estimates of repeatability for the corresponding traits ranged from 0.11 to 0.15, except for litter size (0.26 � 0.02). Estimates of heritability for lambs born, lambs weaned and weight weaned were higher for the first joining than when estimates were based on three joining records. This was associated with higher heritability for fertility from first joining (0.10 � 0.06) than for all three records and the reverse for lamb survival. Estimates of heritability for mean ewe performance were considerably higher and in agreement with the values predicted from the repeatability analyses and number of records, illustrating the value of using repeated ewe records for selection. The genetic correlations between the component traits and overall measures of lamb production were not high enough to consider using component traits as indirect selection criteria. The genetic correlations of liveweight with reproduction traits were positive, but generally not significant, and ranged from 0.01 to 0.63, except for litter size (-0.19 � 0.17). The genetic correlations of greasy fleece weight with reproduction traits were generally smaller than those for liveweight, were not significant and ranged from -0.12 to 0.32. These results, together with others, will be used to compile parameter sets for use in LAMBPLAN to provide meatsheep breeders with comprehensive breeding objectives incorporating growth, leanness, wool and reproduciton.

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Beziehungen zwischen Milchleistung und Fruchtbarkeit in einer Schwarzbuntpopulation nach intensiver Steigerung der Milchleistung

Archives Animal Breeding ◽

10.5194/aab-46-103-2003 ◽

2003 ◽

Vol 46 (2) ◽

pp. 103-112

Author(s):

G. Seeland ◽

C. Henze

Keyword(s):

Protein Content ◽

Genetic Correlation ◽

Milk Production ◽

Milk Yield ◽

Milk Fat ◽

Genetic Parameters ◽

Correlation Coefficients ◽

Protein Yield ◽

Environmental Correlation ◽

Fertility Traits

Abstract. Title of the paper: Relations between milk yield and fertility after strong increased milk yield The purposes of the study were to estimate genetic parameters for milk production and fertility traits. The study included data on about 75,000 first and 40,000 second parity cows of German Friesian. The estimated coefficients of heritability for milk, fat and protein yield were in comparison to other previous estimates relatively high. In contrast to that, heritability of fat and protein content was very low. As expected, heritability of fertility also was very low, ranging from 0.009 to 0.127, depending on trait. Genetic correlation between milk, fat and protein yield, and fertility traits were high and unfavourable and characterize an antagonistic relation. The estimated environmental correlation coefficients are negible. The genetic coefficients of regression between milk yield and fertility are low and vary between the pair of traits. Low genetic coefficients make the effect of antagonism less strong.

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Genetic parameters and genetic trends of reproduction traits in synthetic Pannon rabbits using repeatability and multi-trait animal models

Archives Animal Breeding ◽

10.5194/aab-54-297-2011 ◽

2011 ◽

Vol 54 (3) ◽

pp. 297-307 ◽

Cited By ~ 2

Author(s):

I. Nagy ◽

I. Radnai ◽

H. Nagyné-Kiszlinger ◽

J. Farkas ◽

Z. Szendrő

Keyword(s):

Animal Models ◽

Genetic Correlation ◽

Genetic Parameters ◽

Correlation Coefficients ◽

Mean Squared Errors ◽

Reproduction Traits ◽

The Mean ◽

Predicted Values ◽

Additive Genetic Effects ◽

Genetic Trends

Abstract. Genetic parameters and genetic trends of total number of born kits (TNB), and number of kits born alive (NBA) were estimated in Pannon White and Pannon Ka rabbits for the first four parities. REML and BLUP procedures were applied using repeatability and multi-trait animal models (PEST and VCE software). Heritability estimates were low for both traits and breeds and ranged between 0.060.43–0.07 (0.010.43–0.02) and 0.040.43–0.06 (0.020.43–0.02) for TNB and NBA, respectively (standard errors of estimates are given in brackets). The estimated permanent environmental effects showed higher relative importance compared to the additive genetic effects and they ranged between 0.070.43–0.13 (0.010.43–0.02) and 0.080.43–0.14 (0.010.43–0.02) for TNB and NBA, respectively. High genetic correlation coefficients were found between TNB and NBA (0.97±0.02, 0.96±0.02) for Pannon White and Pannon Ka, respectively. The genetic correlation coefficients estimated between TNB and between NBA of the successive parities (as separate traits) ranged between 0.640.43–0.97 (0.040.43–0.11) and 0.560.43–0.99 (0.030.43–0.10) for Pannon White and Pannon Ka, respectively. The estimated genetic trends for TNB and NBA were negligible for the Pannon White and small (0.030.43–0.02 [0.010.43–0.01]) for Pannon Ka. The mean squared errors (MSE) of the repeatability and multi-trait models were similar but the correlation coefficients of between the observed and predicted values were lower for the multi-trait (0.270.43–0.61) than for the repeatability models (0.43–0.65).

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Genetic Parameters for Different Measures of Feed Efficiency and Their Relationship to Production Traits in Three Purebred Pigs

Life ◽

10.3390/life11080830 ◽

2021 ◽

Vol 11 (8) ◽

pp. 830

Author(s):

Kier Gumangan Santiago ◽

Bryan Irvine Lopez ◽

Sung-Hoon Kim ◽

Dong-Hui Lee ◽

Young-Gyu Cho ◽

...

Keyword(s):

Genetic Correlation ◽

Feed Intake ◽

Feed Efficiency ◽

Genetic Parameters ◽

Daily Weight Gain ◽

Phenotypic Variance ◽

Production Traits ◽

Feed Conversion ◽

Muscle Area ◽

Initial Testing

Residual feed intake (RFI) gained attention as a potential alternative to the feed conversion ratio (FCR). Thus, this study aimed to estimate genetic parameters for different feed efficiency (FE) traits (FCR, RFI1 to RFI5) and their genetic correlation to on-test daily weight gain (ADG), backfat (BFT), loin muscle area (LMA), lean percentage (LP), and total feed intake (FI) for 603 Male Duroc (DD), 295 Landrace (LL), and 341 Yorkshire (YY). The common spatial pen effect was also estimated in these traits. Five RFI measures were estimated by regressing daily feed intake on initial testing age (ITA), initial testing weight (IBW), and ADG for RFI1; other models were the same as RFI1 except for additional BFT for RFI2; LMA for RFI3; BFT and LMA for RFI4; BFT, LMA, and average metabolic body weight (AMBW) instead of IBW for RFI5. Genetic parameters estimated using two animal models and the REML method showed moderate heritability for FCR in all breeds (0.22 and 0.28 for DD, 0.31 and 0.39 for LL, 0.17 and 0.22 for YY), low heritability for the majority of RFI measures in DD (0.15 to 0.23) and YY (0.14 to 0.20) and moderate heritability for all RFI measures in LL (0.31 to 0.34). Pen variance explained 7% to 22% for FE and 0% to 9% for production traits’ phenotypic variance. The genetic correlation revealed that selection against less complex RFI1 in DD and LL and RFI2 in YY would bring the most advantageous reduction to FI (0.71 for DD, 0.49 for LL, 0.43 YY) without affecting ADG in all breeds (0.06 for DD, −0.11 for LL, 0.05 for YY), decrease in BFT, and increase in LP in DD (0.51 in BFT, −0.77 in LP) and LL (0.45 in BFT, −0.83 in LP). Therefore, inclusion of these breed-specific RFI measures in the future selection criteria would help improve feed efficiency in the swine industry.

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Estimation of Genetic Parameters for Feeding Pattern Traits and Its Relationship to Feed Efficiency and Production Traits in Duroc Pigs

Agriculture ◽

10.3390/agriculture11090850 ◽

2021 ◽

Vol 11 (9) ◽

pp. 850

Author(s):

Kier G. Santiago ◽

Sung-Hoon Kim ◽

Bryan Irvine Lopez ◽

Dong-Hui Lee ◽

Young-Gyu Cho ◽

...

Keyword(s):

Genetic Correlation ◽

Feed Intake ◽

Feed Efficiency ◽

Genetic Parameters ◽

Feeding Rate ◽

Occupation Time ◽

Feeding Pattern ◽

Phenotypic Correlation ◽

Production Traits ◽

Average Occupation

This study was conducted to estimate the genetic parameters of different feeding pattern traits, including average daily feed intake (ADFI), average occupation time per day (AOTD), average occupation time per visit (AOTV), average daily feeding rate (ADFR), average feeding rate per feeding visit (AFRV), average feed intake per feeding visit (AFIV), and average number of visits per day (ANVD), and their genetic relationship to production traits, such as on-test average daily gain (ADG), backfat thickness (BFT), loin muscle area (LMA), lean percentage (LP), and feed efficiency traits, such as feed conversion ratio (FCR) and five measures of residual feed intake (RFI1 to RFI5), in Duroc pigs (DD). The non-heritable common spatial pen effect was also estimated in all studied traits. The feeding pattern traits used in this study were derived from filtered feeding visits of 602 DD pigs. Using three animal models and the REML method, the genetic parameters revealed low to moderate heritability for ADFI (0.19 to 0.32) and AFIV (0.18 to 0.33), moderate heritability for ANVD (0.28 to 0.35) and AOTV (0.21 to 0.31), and high heritability for AOTD (0.73), ADFR (0.62 to 0.64), and AFRV (0.59 to 0.63). The addition of a common spatial pen effect in models 2 and 3 had a substantial impact, ranging from 8% to 23%, on the total variability of most feeding pattern traits, with the exception of AOTD, which only had a percentage variance of 0.30% due to the pen effect. The genetic and phenotypic correlation revealed that ADFI had consistent moderate to high genetic and phenotypic correlation with production and feed efficiency (FE) traits. However, selection against ADFI would negatively affect on-test ADG. Interestingly, the AOTD had no genetic correlation with ADG (0.04), low to moderate positive genetic correlation with FCR (0.27) and all RFI measures (0.24 to 0.33), and moderate negative correlation with LP (−0.39), indicating that selection for DD pigs with lower AOTD would not influence on-test ADG but may increase LP and improve feed efficiency by lowering FCR and all RFI measures. However, the corresponding phenotypic correlation of AOTD with production and feed efficiency traits was mostly weak, which can be attributed to the low residual or environmental correlation between these correlated traits. At the genetic level, the feeding pattern traits showed potential in improving feed efficiency and production traits. However, further studies are needed to evaluate their impact at phenotypic level.

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Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations

Genetics ◽

10.1093/genetics/143.3.1409 ◽

1996 ◽

Vol 143 (3) ◽

pp. 1409-1416 ◽

Cited By ~ 1

Author(s):

Kenneth R Koots ◽

John P Gibson

Keyword(s):

Genetic Correlation ◽

Genetic Parameters ◽

Genetic Parameter ◽

Genetic Correlations ◽

Phenotypic Correlation ◽

Parameter Estimates ◽

Sampling Variance ◽

Phenotypic Correlations ◽

Genetic And Phenotypic Correlations ◽

Heritability Estimates

Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the variance of estimates of heritabilities and genetic correlations between populations were about four times the predicted sampling variance, suggesting few real differences in genetic parameters between populations. Except where there was a strong biological or statistical expectation of a difference, there was little evidence for differences between genetic and phenotypic correlations for most trait combinations or for differences in genetic correlations between populations. These results suggest that, even for controlled populations, estimating genetic parameters specific to a given population is less useful than commonly believed. A serendipitous discovery was that, in the standard formula for theoretical standard error of a genetic correlation estimate, the heritabilities refer to the estimated values and not, as seems generally assumed, the true population values.

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Genetic parameters for reproduction and production traits of Landrace sows in Thailand1

Journal of Animal Science ◽

10.2527/jas.2005-708 ◽

2007 ◽

Vol 85 (1) ◽

pp. 53-59 ◽

Cited By ~ 17

Author(s):

N. Imboonta ◽

L. Rydhmer ◽

S. Tumwasorn

Keyword(s):

Genetic Parameters ◽

Production Traits

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