Titlebook: Evolutionary Quantitative Genetics; Derek A. Roff Book 1997 Springer Science+Business Media Dordrecht 1997 Mutation.breeding.chromosome.ev

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書目名稱Evolutionary Quantitative Genetics影響因子(影響力)




書目名稱Evolutionary Quantitative Genetics影響因子(影響力)學(xué)科排名




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書目名稱Evolutionary Quantitative Genetics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Evolutionary Quantitative Genetics被引頻次




書目名稱Evolutionary Quantitative Genetics被引頻次學(xué)科排名




書目名稱Evolutionary Quantitative Genetics年度引用




書目名稱Evolutionary Quantitative Genetics年度引用學(xué)科排名




書目名稱Evolutionary Quantitative Genetics讀者反饋




書目名稱Evolutionary Quantitative Genetics讀者反饋學(xué)科排名

CALL

Enliven

Directional Selection and the Correlated Response,cts on other traits because of a genetic or phenotypic correlation between the selected and unselected traits. In this Chapter, I review the theory of correlated responses to selection on one or several traits and assess the extent to which experimental evidence validates the theory.

離開(kāi)

大都市

WAG

Book 1997anti- tative genetic theory. However, as the book was concerned with the evolution of life histories and traits connected to this, the presence of quantitative genetic variation was an underlying theme throughout. Much of the focus was placed on optimality theory, for it is this approach that has pr

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arbiter

https://doi.org/10.1007/978-981-99-7637-9ly alter the rate and direction of evolution. This is discussed in greater detail in Chapter 5. The present CHAPTER is concerned with the theory of the genetic correlation, its estimation, and the comparison of genetic correlations among populations.

啪心兒跳動(dòng)

Introduction,iscrete variation [e.g., diapause propensity, wing dimorphism in insects, dimorphism in “weaponry,” behavioral dimorphisms; see Roff (1996a) for a review] that cannot be reconciled with simple Mendelian models (e.g., single locus with two alleles).

deceive

The Genetic Correlation,ly alter the rate and direction of evolution. This is discussed in greater detail in Chapter 5. The present CHAPTER is concerned with the theory of the genetic correlation, its estimation, and the comparison of genetic correlations among populations.