Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, Stuttgart, Germany.
Theor Appl Genet. 2010 Feb;120(4):699-708. doi: 10.1007/s00122-009-1187-y. Epub 2009 Oct 29.
In hybrid maize (Zea mays L.) breeding, doubled haploids (DH) are increasingly replacing inbreds developed by recurrent selfing. Doubled haploids may be developed directly from S(0) plants in the parental cross or via S(1) families. In both these breeding schemes, we examined 2 two-stage selecting strategies, i.e., considering or ignoring cross and family structure while selection among and within parental crosses and S(1) families. We examined the optimum allocation of resources to maximize the selection gain DeltaG and the probability P(q) of identifying the q% best genotypes. Our specific objectives were to (1) determine the optimum number and size of crosses and S(1) families, as well as the optimum number of test environments and (2) identify the superior selection strategy. Selection was based on the evaluation of testcross progenies of (1) DH lines in both stages (DHTC) and (2) S(1) families in the first stage and of DH lines within S(1) families in the second stage (S(1)TC-DHTC) with uniform and variable sizes of crosses and S(1) families. We developed and employed simulation programs for selection with variable sizes of crosses and S(1) families within crosses. The breeding schemes and selection strategies showed similar relative efficiency for both optimization criteria DeltaG and P (0.1%). As compared with DHTC, S(1)TC-DHTC had larger DeltaG and P (0.1%), but a higher standard deviation of DeltaG. The superiority of S(1)TC-DHTC was increased when the selection was done among all DH lines ignoring their cross and family structure and using variable sizes of crosses and S(1) families. In DHTC, the best selection strategy was to ignore cross structures and use uniform size of crosses.
在杂交玉米(Zea mays L.)育种中,加倍单倍体(DH)越来越多地取代了通过反复自交培育的近交系。DH 可以直接从亲本杂交中的 S(0)植株中或通过 S(1)家系中产生。在这两种育种方案中,我们研究了两种两阶段选择策略,即在选择亲本杂交和 S(1)家系中的个体和家系时,考虑或忽略杂交和家系结构。我们研究了资源的最佳分配,以最大化选择增益 DeltaG 和识别 q%最佳基因型的概率 P(q)。我们的具体目标是:(1)确定最佳的杂交和 S(1)家系数量和大小,以及最佳的测试环境数量;(2)确定优越的选择策略。选择是基于对测验交后代的评估,(1)DH 系在两个阶段的评估(DHTC)和(2)S(1)家系在第一阶段和 DH 系在 S(1)家系内的评估在第二阶段(S(1)TC-DHTC),采用大小均匀和可变的杂交和 S(1)家系。我们开发并使用了模拟程序,用于在交叉内具有可变大小的交叉和 S(1)家系的选择。这些育种方案和选择策略对于优化标准 DeltaG 和 P(0.1%)都具有相似的相对效率。与 DHTC 相比,S(1)TC-DHTC 具有更大的 DeltaG 和 P(0.1%),但 DeltaG 的标准差更高。当在忽略其杂交和家系结构并使用大小可变的杂交和 S(1)家系的所有 DH 系中进行选择时,S(1)TC-DHTC 的优势增加。在 DHTC 中,最佳选择策略是忽略交叉结构并使用大小均匀的杂交。