Quantitative Genetics of Forest Trees

Namkoong, Gene; Kang, Huiman

doi:10.1002/9781118061053.ch5

Cited by 29 publications

(16 citation statements)

References 93 publications

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“…Conventional tree breeding programs are structured around three main activities: breeding, testing and selection [23] . These activities are long-term endeavours, based on structured pedigree produced from one or a combination of different mating designs [23] ; they also require extensive testing in large experimental settings, distributed throughout vast territories [4] , and (most important of all), they require sustained organizational and financial commitment. Obviously, simplified breeding schemes that reduce time and cost would be of great value.…”

Section: Discussionmentioning

confidence: 99%

“…The large number of parents commonly tested in traditional tree improvement programs requires the use of “efficient” mating designs so manageable number of crosses are made (e.g., disconnected partial diallel [4] , [23] ). In these mating designs, the parental population is divided to multiple subsets of parents with crosses are often restricted to within parental subsets with minimal or no matings among members of the different subset, thus creating opportunities for genetic sampling (i.e., no opportunity for cross referencing across set).…”

Section: Discussionmentioning

confidence: 99%

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Breeding without Breeding: Is a Complete Pedigree Necessary for Efficient Breeding?

et al. 2011

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Complete pedigree information is a prerequisite for modern breeding and the ranking of parents and offspring for selection and deployment decisions. DNA fingerprinting and pedigree reconstruction can substitute for artificial matings, by allowing parentage delineation of naturally produced offspring. Here, we report on the efficacy of a breeding concept called “Breeding without Breeding” (BwB) that circumvents artificial matings, focusing instead on a subset of randomly sampled, maternally known but paternally unknown offspring to delineate their paternal parentage. We then generate the information needed to rank those offspring and their paternal parents, using a combination of complete (full-sib: FS) and incomplete (half-sib: HS) analyses of the constructed pedigrees. Using a random sample of wind-pollinated offspring from 15 females (seed donors), growing in a 41-parent western larch population, BwB is evaluated and compared to two commonly used testing methods that rely on either incomplete (maternal half-sib, open-pollinated: OP) or complete (FS) pedigree designs. BwB produced results superior to those from the incomplete design and virtually identical to those from the complete pedigree methods. The combined use of complete and incomplete pedigree information permitted evaluating all parents, both maternal and paternal, as well as all offspring, a result that could not have been accomplished with either the OP or FS methods alone. We also discuss the optimum experimental setting, in terms of the proportion of fingerprinted offspring, the size of the assembled maternal and paternal half-sib families, the role of external gene flow, and selfing, as well as the number of parents that could be realistically tested with BwB.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Breeding without Breeding: Is a Complete Pedigree Necessary for Efficient Breeding?

et al. 2011

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“…Key pieces of information include relative amounts of additive vs. non-additive genetic variance, genetic and environmental variances, heritabilities, and genetic correlations (Namkoong and Kang 1990). Most information on quantitative genetic parameters is derived from analyses of windpollinated families collected from natural populations (as compared to advanced-generation breeding populations).…”

Section: F Quantitative Genetics and Inheritancementioning

confidence: 99%

Breeding Douglas‐Fir

Howe

Jayawickrama

Cherry

et al. 2005

Plant Breeding Reviews

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“…Yet another reason may be different environmental influence of nursery than field conditions. Typically, correlations of tree growth at such an early age as in our experiment with growth at later ages are weak or even negative (Lambeth 1980;Namkoong and Kang 1990;Nilsson 1991), and even the age 5 years would be too early to make convincing predictions of future performance. We hypothesized that growth rates (allometric slopes) for different organs would be maintained between ages 2 and 8 years in the subset of examined families.…”

Section: Discussionmentioning

confidence: 99%

Allometry varies among related families of Norway spruce

Chmura

Guzicka

Rożkowski

et al. 2017

Annals of Forest Science

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Key message Slopes and intercepts of allometric equations for organs’ biomass varied among half-sib families of Norway spruce and between age categories in a family-dependent manner. Genetic variation should be accounted for when applying allometric analysis to mixtures of genetic groups. Context Genetic variation in relationships among plant biomass components was rarely addressed in trees, though depending on deployment strategies in tree improvement programs, variation among genetic groups in plant organs’ growth rates, and thus biomass allocation, would affect forest growth and carbon balance. Aims We investigated growth and biomass distribution in Norway spruce (Picea abies [L.] H. Karst) half-sib families. We assumed invariance among families in allometric relationships, and stability in growth rates of different organs between ages 2 and 8 years in the subset of those families. We also tested for ontogenetic trend in allometry using the independent dataset of biomass at age 21 years. Methods We analyzed allometric relationships among plant components using standardized major axis regression. Results Slopes and intercepts of allometric relationships varied among families, indicating variation in both organs’ growth rates and biomass partitioning at a given plant size. Variation in scaling exponents between age categories was also dependent on the family and plant organ considered. Conclusion Variation in slopes of allometric relationships indicates that a single scaling coefficient should not be applied when different genetic groups are compared. For the interpretation of age effect on biomass partitioning, both slopes and intercepts of allometric relationships should be examined.

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Quantitative Genetics of Forest Trees

Cited by 29 publications

References 93 publications

Breeding without Breeding: Is a Complete Pedigree Necessary for Efficient Breeding?

Breeding without Breeding: Is a Complete Pedigree Necessary for Efficient Breeding?

Breeding Douglas‐Fir

Allometry varies among related families of Norway spruce

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