Literatura académica sobre el tema "Progeny test value"
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Artículos de revistas sobre el tema "Progeny test value"
Marnis, Huria, Bambang Iswanto, Romy Suprapto, Imron Imron y Raden Roro Sri Pudji Sinarni Dewi. "IDENTIFIKASI ZIGOSITAS IKAN LELE (Clarias gariepinus) TRANSGENIK F-2 YANG MEMBAWA GEN HORMON (PhGH) DENGAN MENGGUNAKAN METODE REALTIME-qPCR". Jurnal Riset Akuakultur 11, n.º 1 (14 de noviembre de 2016): 39. http://dx.doi.org/10.15578/jra.11.1.2016.39-46.
Texto completoWoolliams, J. A. y C. Smith. "The value of indicator traits in the genetic improvement of dairy cattle". Animal Production 46, n.º 3 (junio de 1988): 333–45. http://dx.doi.org/10.1017/s0003356100018948.
Texto completoMeland, O. "Procedures of sire selection, sampling and application of new technology". BSAP Occasional Publication 19 (1995): 9–12. http://dx.doi.org/10.1017/s0263967x00031748.
Texto completoHill, William G. y Karin Meyer. "Developments in methods for breeding value and parameter estimation in livestock". BSAP Occasional Publication 12 (1988): 81–98. http://dx.doi.org/10.1017/s0263967x0000330x.
Texto completoSwanson, G. J. T. y H. Joanne Bellamy. "A comparison between the actual progeny test of Friesian/Holstein bulls and indexes calculated from pedigree information". Animal Production 48, n.º 1 (febrero de 1989): 37–41. http://dx.doi.org/10.1017/s0003356100003767.
Texto completoMardenli, Omar R. "The Progeny test of Friesian sires for milk traits by using the contemporary comparison method". Revista Colombiana de Ciencia Animal - RECIA 13, n.º 1 (11 de marzo de 2021): e747. http://dx.doi.org/10.24188/recia.v13.n1.2021.747.
Texto completoApiolaza, Luis A., Arthur R. Gilmour y Dorian J. Garrick. "Variance modelling of longitudinal height data from a Pinus radiata progeny test". Canadian Journal of Forest Research 30, n.º 4 (1 de abril de 2000): 645–54. http://dx.doi.org/10.1139/x99-246.
Texto completoWeaver, Andrew R., Donald L. Wright y Scott P. Greiner. "125 Utilization of Performance-tested and NSIP Sires Improved Progeny Performance and Value in Ram Test Program". Journal of Animal Science 100, Supplement_1 (8 de marzo de 2022): 44. http://dx.doi.org/10.1093/jas/skac028.082.
Texto completoMeuwissen, T. H. E. "A deterministic model for the optimization of dairy cattle breeding based on BLUP breeding value estimates". Animal Science 49, n.º 2 (octubre de 1989): 193–202. http://dx.doi.org/10.1017/s0003356100032311.
Texto completoGonçalves, Paulo de Souza, Mário Luiz Teixeira de Moraes, Marcelo de Almeida Silva, Lígia Regina Lima Gouvêa, Adriano Tosoni da Eira Aguiar y Reginaldo Brito da Costa. "Prediction of Hevea progeny performance in the presence of genotype-environment interaction". Brazilian Archives of Biology and Technology 52, n.º 1 (febrero de 2009): 25–33. http://dx.doi.org/10.1590/s1516-89132009000100004.
Texto completoTesis sobre el tema "Progeny test value"
Su, Susi Li-Ho y 蘇力禾. "Estimating Breeding Values and Genetic Gain of Cunninghamia lanceolata (Lamb.) Hook. var. konishii from a 27-Year Progeny Test with Messy Data". Thesis, 2004. http://ndltd.ncl.edu.tw/handle/12115943281512963508.
Texto completo國立中興大學
森林學系
92
Eighteen open-pollinated (OP) families of a local variety of China fir (Cunninghamia lanceolata (Lamb.) Hook. var. konishii) were grown in a field trial to evaluate the magnitude of genetic parameter estimates and ranking of the parental clones, for growth (height, DBH, and diameter at basal area; DBA) and wood density traits up to 27 years. The field-trial layout was randomized complete block design (RCBD) with four adjacent south-north longitudinal blocks. After checking the intra-class correlations it was found that it would be better to divide the 4 east-west blocks into 2 south-north blocks, so that the long axis of the block is parallel to the contour. That made the field design incomplete blocks. It was also found that edge effects seriously influenced the stem diameter growth for the border trees. We therefore also deleted those seriously biased border trees from the data. Statistical analyses showed second-year height and 27-year wood density were not influenced by environmental impacts, and there were no significant differences among families. Other growth traits (six-year height, 25-year height, 25-year DBH, 25-year DBA, 25-year stem volume, relative growth between second- and six-year heights, and relative growth between six- and 25-year heights) showed significant differences among families and among blocks. Height growth (second-year and 25-year heights) showed significant family by block interactions. Stem diameter growth (25-year DBH, DBA, and Volume) traits had no interactions at all. Tree height between ages demonstrated substantial genetic correlation (0.61). Tree height and stem diameters of the same age also exhibited substantial genetic correlations (0.59). Twenty-seven-year wood density showed no family variation. Twenty-five-year height showed high individual-tree heritability. Heritability estimates increased as the trees grew older. Height growth traits in general have higher heritabilities than stem diameter growth. Using one unit of standard phenotypic deviation as selection differential to estimate genetic gain would result in 2.29m in 25-year height, 2.34cm in 25-year DBH, and 0.08m3 in 25-year stem volume. Using six-year height as an early-selection trait, indirect selection would result in 1.10m gain in 25-year height. This is equivalent to 0.18m per year, which is much higher than a gain of 0.09m direct selection in 25-year height. No matter whether family effect is taken as “fixed effect” or “random effect”, arithmetical means and BLUP values showed high correlations (0.9231~0.9572), which implies that both are reliable estimates of the breeding values. Using BLUP values to rank families, five families were both selected into the top nine families for tree height at different ages. Using bi-character (25-year height and DBH) to adjust the estimate of breeding values of 25-year DBH is effective. The improvement magnitude of the top nine families is from 10.29% to 0.97%. This method was therefore proven to be a superior strategy of multi-trait selection. Current research results provide a useful reference for genetic selection of China fir in the future.
Libros sobre el tema "Progeny test value"
Robinson, Majied. Statistical Approaches to the Rise of Concubinage in Islam. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190622183.003.0002.
Texto completoCapítulos de libros sobre el tema "Progeny test value"
White, Timothy L. y Gary R. Hodge. "Concepts of Progeny Test Analysis". En Predicting Breeding Values with Applications in Forest Tree Improvement, 48–61. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7833-2_3.
Texto completoWhite, Timothy L. y Gary R. Hodge. "Best Linear Prediction with Half-sib Progeny Test Data". En Predicting Breeding Values with Applications in Forest Tree Improvement, 86–110. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7833-2_5.
Texto completoInformes sobre el tema "Progeny test value"
Weller, Joel I., Ignacy Misztal y Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, marzo de 2015. http://dx.doi.org/10.32747/2015.7594404.bard.
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