Estimation of Genetic Parameters for 12 Fruit and Vegetative Traits in the University of Florida Strawberry Breeding Population
Estimation of Genetic Parameters for 12 Fruit and Vegetative Traits in the University of Florida Strawberry Breeding Population
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佛罗里达大学草莓育种群体 12 种水果和植物性状遗传参数的估计
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
S. Gezan
中科院分区：
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作者：
V. Whitaker;L. Osorio;T. Hasing;S. Gezan
附加索引词。相关性状，草莓，遗传力，遗传相关，遗传增益自1968年以来，佛罗里达大学草莓育种群体通过轮回选择不断改良。然而，缺乏遗传参数的信息，可能会告知育种决策。使用来自5.4因子交配设计的19个全同胞家系加上6个额外的双亲杂交和14个对照基因型（包括一些亲本）估计该群体的参数。在2010-11赛季，幼苗和亲本基因型的克隆复制分布在中西部佛罗里达的两个领域的位置。12个商业上重要的性状进行了测量，包括水果的化学性状（可溶性固形物含量和可滴定酸），其他水果和产量性状（早期和总销售产量，总淘汰水果的比例，畸形水果的比例，水损害水果的比例，形状评分），和营养性状（株高和总亚军）。遗传力，基因型与环境的相互作用，和多重相关性（表型，基因型和遗传）估计使用一般的混合模型分析。狭义遗传力从低到中等不等（h2 = 0.13 ± 0.0 7 ~ 0.32 ± 0.0 9），但体型评分（h2 = 0.0 6 ± 0.0 4）和总平均体重（h2 = 0.5 2 ± 0.0 7）除外。广义遗传力较大（H2 = 0.18 ± 0.03 ~ 0.53 ± 0.04），一半以上的性状，总遗传变异的50%以上是非加性的。可溶性固形物含量与早期商品产量之间存在显著的遗传和基因型相关（-0.68 ± 0.22）。这对性状的遗传增益的基础上的Monte Carlo模拟说明了这两个性状之间的权衡，表明早期产量增加27%，可以通过选择，但在可溶性固形物减少8%的代价。然而，适度的增益可以在这两个性状使用适当的指数系数。
ADDITIONAL INDEX WORDS. correlated traits, Fragaria ·ananassa, heritability, genetic correlation, genetic gain ABSTRACT. The University of Florida strawberry (Fragaria ·ananassa) breeding population has been continuously improved by recurrent selection since 1968. However, there is a lack of information on genetic parameters that may inform breeding decisions. Parameters were estimated in this population using 19 full-sib families from a 5 · 4 factorial mating design plus six additional biparental crosses and 14 control genotypes including some of the parents. During the 2010-11 season, clonal replicates of the seedling and parental genotypes were distributed within and among two field locations in west-central Florida. Twelve commercially important traits were measured including fruit chemical traits (soluble solids content and titratable acidity), other fruit and yield traits (early and total marketable yields, proportion of total cull fruit, proportion of misshapen fruit, proportion water-damaged fruit, and shape score), and vegetative traits (plant height and total runners). Heritabilities, genotype by environment interaction, and multiple correlations (phenotypic, genotypic, and genetic) were estimated using general mixed model analyses. Narrow-sense heritabilities varied from low to moderate (h 2 = 0.13 ± 0.07 to 0.32 ± 0.09) except for shape score (h 2 = 0.06 ± 0.04) and total average weight (h 2 = 0.52 ± 0.07). Broad-sense heritabilities were larger (H 2 = 0.18 ± 0.03 to 0.53 ± 0.04), and for more than half of the traits, over 50% of the total genetic variation was non-additive. Large genetic and genotypic correlations were found for some traits, most notably between soluble solids content and early marketable yield (-0.68 ± 0.22). Genetic gains for this pair of traits based on a Monte Carlo simulation illustrated the tradeoff between these two traits, showing that a 27% increase in early yield could be obtained through selection but at the expense of an 8% decrease in soluble solids. However, moderate gains can be made in both traits using the appropriate index coefficients.