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Phenotypic Correlation and Path Coefficient Analysis of Nut Yield and Yield Components in Cashew (Anacardium occidentale L.)

Journal 52: 361. HAZEL, L. N. (1943): The genetic basis for constructing selection indexes. Genetics 28: 476-490. HAZEL, L. N. and J. L. LUSH (1942): The efficiency of three methods of selection. Journal of Heredity 33: 393-399. IBPGR (1986): Descriptors for cashew (Anacardium occidentale L.). International Board for Plant Genetic Resources, Rome, Italy. ISHAQ, M. N., C. A. ECHEKWU, P. E. OLORUNJ, U. S. GUPTA and S. M. MISARI (2000): Correlations and path coefficient analysis in sugarcane (Saccharum

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

Rev. 74: 4-5, 13, 15. HARFOUCHE, A., P. BARADAT and C. DUREL (1995): Intraspecific variability in Maritime pine (Pinus pinaster Ait.) in the South-East of France. 1. Variability in autochthonous populations nd in the whole range of species. Ann For. Sci. 52: 307-328. HOULE, D. (1991): Genetic covariance of fitness correlates: what genetic correlations are made of and why it matters. Evolution 45: 630-648. ISIK, K. and F. ISIK (1999): Genetic variation in Pinus brutia Ten. In Turkey: II. Branching and Crown Traits

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Correlation and Path Analysis Studies Between Biomass and Other Characters in Bombax ceiba L.

References AL-JIBOURI, H. A., R. A. MILLER and H. F. Robinson (1958): Genotypic and environmental variances and covariance’s in an upland cotton across of interspecific origin. Agron. J. 50: 633-637. CHATURVEDI, O. P. and N. PANDEY (2001): Genetic divergence of Bombax ceiba L. germplasms. Silvae Genetica 50 (3-4): 99-102. DEWEY, D. R. and K. H. LU (1959): A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J. 51: 515-518. DHILLON, R. S., V. P

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Correlation of fgf23 and balp with bone mineral density in hemodialysis patients

markers can probably provide a better control of BMD to hemodialysis patients. In addition, the use of DEXA is recommended by multiple guidelines, thanks to its efficiency in discriminating bone loss in ESRD patients ( 8 ). The aim of this study was to evaluate the correlation of bone turnover markers with DEXA measurements in Tunisian ESRD patients. Materials and Methods Patients This study included 100 hemodialysis patients. A male predominance was found (64%) with a sex-ratio of 1.77. The mean age was 57.5 ± 15.00 years old; with extremes going from 23 to

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Comparison of Two Commercial Cyclosporin Assays

References Kaplan A, Pesce, Amadeo J. Clinical Chemistry - Theory, Analysis, Correlation. 2002; 4-th ed. St. Louis: Mosby. Moyer TP, Show LM. Therapeutic Drug and Their Management, in: Tietz Textbook of Clinical Chemistry and Molecular Diagnostics. 2006; 4th ed. Elsevier Inc. pp 1237 -85. Leimaire M, Tillement JP. Role of lipoproteins and erythrocytes in the in vitro binding and distribution of cyclosporin A in the blood. J Pharm Pharmacol 1982; 34 (11): 715

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Nitric oxide, lipid peroxidation products, and antioxidants in primary fibromyalgia and correlation with disease severity

Statistical Package for Social Sciences (SPSS) software, version 20.0 for Windows, was used for all statistical analyses. Data were not normally distributed as tested by using the Shapiro-Wilk test at 5% level of significance; therefore, non-parametric tests were used. To test statistical differences between patients and controls, Mann-Whitney U test was used and Spearman correlation coefficient (rs) to establish a correlation between antioxidants, oxidative stress marker (LPO) and nitric oxide, was used. Karl Pearson’s correlation coefficient(r) was performed to find the

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Heritabilities, Intertrait Genetic Correlations, G x E Interaction and Predicted Genetic Gains for Acoustic Velocity in Mid-rotation Coastal Douglas fir

Abstract

Acoustic velocity (AV) data from 7,423 coastal Douglas-fir trees drawn from 347 wind-pollinated families on 14 sites, from four first-generation testing programs in the north Oregon Cascades, were analyzed. Families were measured on two or four sites at ages 23 to 41 years from seed using the Fakopp TreeSonic standingtree tool. Height (HT) and DBH data collected at ages 15 and 16 from seed, from all trees in the four programs (95,795 trees, 955 families), were used to calculate volume index (VOL = HT*DBH2) and stem taper (TAP = DBH/HT). All traits were analyzed using multivariate mixed model analyses.

Across-site individual narrow-sense heritabilities for AV2 ranged from 0.24 to 0.40 among first-generation programs, compared to 0.12 to 0.23 for HT, 0.10 to 0.16 for DBH, 0.11 to 0.20 for VOL and 0.14 to 0.17 for TAP.

Across-site type B correlations for AV2 ranged from 0.85 to 0.95, compared to 0.62 to 0.83 for HT, 0.60 to 0.74 for DBH, 0.67 to 0.78 for VOL and 0.66 to 0.79 for TAP. AV2 was negatively correlated with HT in three programs (rA = 0.17 to −0.28), and negatively correlated with DBH (−0.12 to −0.46), VOL (−0.05 to −0.44) and TAP (−0.09 to −0.40) in all four programs.

Selecting the top 10% of the families sampled based on AV2 gave predicted gains of 4.4% to 9.6% for AV2 and −9.3% to 10.6% for VOL. The adverse genetic correlations between AV2 and growth, and the losses in gain in AV2 from selection based on growth, may be overestimated by suppression of slower-growing families in these older tests.

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Genotype by Environment Interaction in Pinus sylvestris L. in Southern Sweden

References BURDON, R. D. (1977): Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genet. 26: 168-175. CORNELIUS, J. (1994): Heritabilities and additive genetic coefficient of variation in forest trees. Can. J. For. Res. 24: 372-379. DIETERS, M. J., T. L. WHITE and G. R. HODGE (1995): Genetic parameter estimates for volume from full-sib tests of slash pine (Pinus elliottii). Can. J. For. Res. 25: 1397-1408. EICHE, V. (1966): Cold damage

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Genetic parameters and efficiency of early selection for half rotation-aged growth and form traits in Pinus taeda in China

References BURDON, R. D. (1989): Early selection in tree breeding: Principles for applying index selection and inferring input parameters. Canadian Journal of Forest Research 19: 499-504. DANJON, F. (1994): Heritabilities and genetic correlations for estimated growth curve parameters in maritime pine. Theor Appl Genet 89: 911-921. ERICSSON, T. and A. Fries (2004): Genetic analysis of fibre size in a full-sib Pinus sylvestris L. progeny test. Scand. J For Res 19: 7-14. FOSTER, G. and F. BRIDGWATER

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Genetic parameters for early growth and biomass traits of Pinus radiata D. Don under different water regimes

References BARNES, R. D. and M. A. SCHWEPPENHAUSER (1978): Pinus patula Schiede and Deppe progeny tests in Rhodesia genetic control of nursery traits. Silvae Genet. 27(5): 200-204. BURNS, R. M. and B. H. HONKALA (1990): Silvics of North America: 1. Conifers. Agriculture Handbook. BURDON, R. (1977): Genetic correlation as a concept to studying genotype-environment interaction in forest tree breeding. Silvae Genet. 26: 168-175. CODESIDO, V., R. Zas and J. FERNÁNDEZ-LÓPEZ (2012): Juvenile

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