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โ† Wiki Index / Genetics & Evolution / Breeder's Equation
๐Ÿงฌ Genetics & Evolution

Breeder's Equation

The breeder's equation, R = hยฒS, predicts how much a trait will change in one generation of selection.

The breeder's equation, R = hยฒS, predicts how much a trait will change in one generation of selection. R is the response to selection, S is the selection differential, and hยฒ is the narrow-sense heritability of the trait. It was formulated in animal breeding by Jay Lush in the 1930s.

What the Terms Mean: How Is It Applied?

The selection differential is the difference between the average trait value of the individuals chosen as parents and the average of the whole population. If farmers pick cows that give 10 liters more milk than the herd average, and the heritability is 0.3, the next generation is expected to average 3 liters more than the previous one. The equation shows that selection works only on the part of variation that is passed on genetically.

Natural Populations: Does It Work in the Wild?

Russell Lande applied the equation to natural selection in 1979, writing the response in terms of the selection gradient and genetic variance. The approach lets biologists predict the speed of evolution, for example the changes in beak size of Darwin's finches after a drought. It rests on the work of Ronald Fisher on the decomposition of variance.

Limits: When Does It Fail?

The equation is a short-term approximation and assumes a stable heritability, and it ignores correlations among traits, which can make a trait evolve in unexpected directions. Heritability itself can change as selection uses up variation, and environmental effects can mask the response. It is the basis for improving crops and livestock such as cattle and domestic chickens, and a topic in population genetics and the study of fitness.

Breeder's Equation at a Glance

PropertyValue
FormulaR = hยฒS
OriginJay Lush, 1930s
Applied to nature byRussell Lande, 1979

See Also

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